mirror of
https://github.com/ClickHouse/ClickHouse.git
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Merge branch 'master' into read-cgroup-memory-usage-async-metrics
This commit is contained in:
Antonio Andelic
commit
91e0df33db
@ -2102,14 +2102,14 @@ Result:
|
||||
└─────────────────┘
|
||||
```
|
||||
|
||||
## filesystemFree
|
||||
## filesystemUnreserved
|
||||
|
||||
Returns the total amount of the free space on the filesystem hosting the database persistence. See also `filesystemAvailable`
|
||||
Returns the total amount of the free space on the filesystem hosting the database persistence. (previously `filesystemFree`). See also [`filesystemAvailable`](#filesystemavailable).
|
||||
|
||||
**Syntax**
|
||||
|
||||
```sql
|
||||
filesystemFree()
|
||||
filesystemUnreserved()
|
||||
```
|
||||
|
||||
**Returned value**
|
||||
@ -2121,7 +2121,7 @@ filesystemFree()
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||||
Query:
|
||||
|
||||
```sql
|
||||
SELECT formatReadableSize(filesystemFree()) AS "Free space";
|
||||
SELECT formatReadableSize(filesystemUnreserved()) AS "Free space";
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
@ -21,7 +21,7 @@ CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
|
||||
name2 [type2] [NULL|NOT NULL] [DEFAULT|MATERIALIZED|EPHEMERAL|ALIAS expr2] [COMMENT 'comment for column'] [compression_codec] [TTL expr2],
|
||||
...
|
||||
) ENGINE = engine
|
||||
COMMENT 'comment for table'
|
||||
[COMMENT 'comment for table']
|
||||
```
|
||||
|
||||
Creates a table named `table_name` in the `db` database or the current database if `db` is not set, with the structure specified in brackets and the `engine` engine.
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@ -626,11 +626,6 @@ SELECT * FROM base.t1;
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||||
|
||||
You can add a comment to the table when you creating it.
|
||||
|
||||
:::note
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The comment clause is supported by all table engines except [Kafka](../../../engines/table-engines/integrations/kafka.md), [RabbitMQ](../../../engines/table-engines/integrations/rabbitmq.md) and [EmbeddedRocksDB](../../../engines/table-engines/integrations/embedded-rocksdb.md).
|
||||
:::
|
||||
|
||||
|
||||
**Syntax**
|
||||
|
||||
``` sql
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|
||||
@ -16,6 +16,7 @@ Syntax:
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CREATE [OR REPLACE] VIEW [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster_name]
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[DEFINER = { user | CURRENT_USER }] [SQL SECURITY { DEFINER | INVOKER | NONE }]
|
||||
AS SELECT ...
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||||
[COMMENT 'comment']
|
||||
```
|
||||
|
||||
Normal views do not store any data. They just perform a read from another table on each access. In other words, a normal view is nothing more than a saved query. When reading from a view, this saved query is used as a subquery in the [FROM](../../../sql-reference/statements/select/from.md) clause.
|
||||
@ -57,6 +58,7 @@ SELECT * FROM view(column1=value1, column2=value2 ...)
|
||||
CREATE MATERIALIZED VIEW [IF NOT EXISTS] [db.]table_name [ON CLUSTER] [TO[db.]name] [ENGINE = engine] [POPULATE]
|
||||
[DEFINER = { user | CURRENT_USER }] [SQL SECURITY { DEFINER | INVOKER | NONE }]
|
||||
AS SELECT ...
|
||||
[COMMENT 'comment']
|
||||
```
|
||||
|
||||
:::tip
|
||||
@ -161,6 +163,7 @@ RANDOMIZE FOR interval
|
||||
DEPENDS ON [db.]name [, [db.]name [, ...]]
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||||
[TO[db.]name] [(columns)] [ENGINE = engine] [EMPTY]
|
||||
AS SELECT ...
|
||||
[COMMENT 'comment']
|
||||
```
|
||||
where `interval` is a sequence of simple intervals:
|
||||
```sql
|
||||
@ -267,7 +270,10 @@ This is an experimental feature that may change in backwards-incompatible ways i
|
||||
:::
|
||||
|
||||
``` sql
|
||||
CREATE WINDOW VIEW [IF NOT EXISTS] [db.]table_name [TO [db.]table_name] [INNER ENGINE engine] [ENGINE engine] [WATERMARK strategy] [ALLOWED_LATENESS interval_function] [POPULATE] AS SELECT ... GROUP BY time_window_function
|
||||
CREATE WINDOW VIEW [IF NOT EXISTS] [db.]table_name [TO [db.]table_name] [INNER ENGINE engine] [ENGINE engine] [WATERMARK strategy] [ALLOWED_LATENESS interval_function] [POPULATE]
|
||||
AS SELECT ...
|
||||
GROUP BY time_window_function
|
||||
[COMMENT 'comment']
|
||||
```
|
||||
|
||||
Window view can aggregate data by time window and output the results when the window is ready to fire. It stores the partial aggregation results in an inner(or specified) table to reduce latency and can push the processing result to a specified table or push notifications using the WATCH query.
|
||||
|
||||
@ -195,7 +195,7 @@ bool SingleValueDataFixed<T>::isEqualTo(const IColumn & column, size_t index) co
|
||||
template <typename T>
|
||||
bool SingleValueDataFixed<T>::isEqualTo(const SingleValueDataFixed<T> & to) const
|
||||
{
|
||||
return has() && to.value == value;
|
||||
return has() && to.has() && to.value == value;
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
@ -904,6 +904,7 @@ bool SingleValueDataNumeric<T>::isEqualTo(const DB::IColumn & column, size_t ind
|
||||
template <typename T>
|
||||
bool SingleValueDataNumeric<T>::isEqualTo(const DB::SingleValueDataBase & to) const
|
||||
{
|
||||
/// to.has() is checked in memory.get().isEqualTo
|
||||
auto const & other = assert_cast<const Self &>(to);
|
||||
return memory.get().isEqualTo(other.memory.get());
|
||||
}
|
||||
@ -917,6 +918,7 @@ void SingleValueDataNumeric<T>::set(const DB::IColumn & column, size_t row_num,
|
||||
template <typename T>
|
||||
void SingleValueDataNumeric<T>::set(const DB::SingleValueDataBase & to, DB::Arena * arena)
|
||||
{
|
||||
/// to.has() is checked in memory.get().set
|
||||
auto const & other = assert_cast<const Self &>(to);
|
||||
return memory.get().set(other.memory.get(), arena);
|
||||
}
|
||||
@ -924,6 +926,7 @@ void SingleValueDataNumeric<T>::set(const DB::SingleValueDataBase & to, DB::Aren
|
||||
template <typename T>
|
||||
bool SingleValueDataNumeric<T>::setIfSmaller(const DB::SingleValueDataBase & to, DB::Arena * arena)
|
||||
{
|
||||
/// to.has() is checked in memory.get().setIfSmaller
|
||||
auto const & other = assert_cast<const Self &>(to);
|
||||
return memory.get().setIfSmaller(other.memory.get(), arena);
|
||||
}
|
||||
@ -931,6 +934,7 @@ bool SingleValueDataNumeric<T>::setIfSmaller(const DB::SingleValueDataBase & to,
|
||||
template <typename T>
|
||||
bool SingleValueDataNumeric<T>::setIfGreater(const DB::SingleValueDataBase & to, DB::Arena * arena)
|
||||
{
|
||||
/// to.has() is checked in memory.get().setIfGreater
|
||||
auto const & other = assert_cast<const Self &>(to);
|
||||
return memory.get().setIfGreater(other.memory.get(), arena);
|
||||
}
|
||||
@ -1191,7 +1195,7 @@ bool SingleValueDataString::isEqualTo(const DB::IColumn & column, size_t row_num
|
||||
bool SingleValueDataString::isEqualTo(const SingleValueDataBase & other) const
|
||||
{
|
||||
auto const & to = assert_cast<const Self &>(other);
|
||||
return has() && to.getStringRef() == getStringRef();
|
||||
return has() && to.has() && to.getStringRef() == getStringRef();
|
||||
}
|
||||
|
||||
void SingleValueDataString::set(const IColumn & column, size_t row_num, Arena * arena)
|
||||
@ -1291,7 +1295,7 @@ bool SingleValueDataGeneric::isEqualTo(const IColumn & column, size_t row_num) c
|
||||
bool SingleValueDataGeneric::isEqualTo(const DB::SingleValueDataBase & other) const
|
||||
{
|
||||
auto const & to = assert_cast<const Self &>(other);
|
||||
return has() && to.value == value;
|
||||
return has() && to.has() && to.value == value;
|
||||
}
|
||||
|
||||
void SingleValueDataGeneric::set(const IColumn & column, size_t row_num, Arena *)
|
||||
|
||||
@ -2241,6 +2241,8 @@ bool ClientBase::executeMultiQuery(const String & all_queries_text)
|
||||
ASTPtr parsed_query;
|
||||
std::unique_ptr<Exception> current_exception;
|
||||
|
||||
size_t retries_count = 0;
|
||||
|
||||
while (true)
|
||||
{
|
||||
auto stage = analyzeMultiQueryText(this_query_begin, this_query_end, all_queries_end,
|
||||
@ -2321,7 +2323,12 @@ bool ClientBase::executeMultiQuery(const String & all_queries_text)
|
||||
// Check whether the error (or its absence) matches the test hints
|
||||
// (or their absence).
|
||||
bool error_matches_hint = true;
|
||||
if (have_error)
|
||||
bool need_retry = test_hint.needRetry(server_exception, &retries_count);
|
||||
if (need_retry)
|
||||
{
|
||||
std::this_thread::sleep_for(std::chrono::seconds(1));
|
||||
}
|
||||
else if (have_error)
|
||||
{
|
||||
if (test_hint.hasServerErrors())
|
||||
{
|
||||
@ -2415,7 +2422,8 @@ bool ClientBase::executeMultiQuery(const String & all_queries_text)
|
||||
if (have_error && !ignore_error)
|
||||
return is_interactive;
|
||||
|
||||
this_query_begin = this_query_end;
|
||||
if (!need_retry)
|
||||
this_query_begin = this_query_end;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
@ -10,6 +10,7 @@
|
||||
namespace DB::ErrorCodes
|
||||
{
|
||||
extern const int CANNOT_PARSE_TEXT;
|
||||
extern const int OK;
|
||||
}
|
||||
|
||||
namespace DB
|
||||
@ -62,9 +63,28 @@ bool TestHint::hasExpectedServerError(int error)
|
||||
return std::find(server_errors.begin(), server_errors.end(), error) != server_errors.end();
|
||||
}
|
||||
|
||||
bool TestHint::needRetry(const std::unique_ptr<Exception> & server_exception, size_t * retries_counter)
|
||||
{
|
||||
chassert(retries_counter);
|
||||
if (max_retries <= *retries_counter)
|
||||
return false;
|
||||
|
||||
++*retries_counter;
|
||||
|
||||
int error = ErrorCodes::OK;
|
||||
if (server_exception)
|
||||
error = server_exception->code();
|
||||
|
||||
|
||||
if (retry_until)
|
||||
return !hasExpectedServerError(error); /// retry until we get the expected error
|
||||
else
|
||||
return hasExpectedServerError(error); /// retry while we have the expected error
|
||||
}
|
||||
|
||||
void TestHint::parse(Lexer & comment_lexer, bool is_leading_hint)
|
||||
{
|
||||
std::unordered_set<std::string_view> commands{"echo", "echoOn", "echoOff"};
|
||||
std::unordered_set<std::string_view> commands{"echo", "echoOn", "echoOff", "retry"};
|
||||
|
||||
std::unordered_set<std::string_view> command_errors{
|
||||
"serverError",
|
||||
@ -73,6 +93,9 @@ void TestHint::parse(Lexer & comment_lexer, bool is_leading_hint)
|
||||
|
||||
for (Token token = comment_lexer.nextToken(); !token.isEnd(); token = comment_lexer.nextToken())
|
||||
{
|
||||
if (token.type == TokenType::Whitespace)
|
||||
continue;
|
||||
|
||||
String item = String(token.begin, token.end);
|
||||
if (token.type == TokenType::BareWord && commands.contains(item))
|
||||
{
|
||||
@ -82,6 +105,30 @@ void TestHint::parse(Lexer & comment_lexer, bool is_leading_hint)
|
||||
echo.emplace(true);
|
||||
if (item == "echoOff")
|
||||
echo.emplace(false);
|
||||
|
||||
if (item == "retry")
|
||||
{
|
||||
token = comment_lexer.nextToken();
|
||||
while (token.type == TokenType::Whitespace)
|
||||
token = comment_lexer.nextToken();
|
||||
|
||||
if (token.type != TokenType::Number)
|
||||
throw DB::Exception(DB::ErrorCodes::CANNOT_PARSE_TEXT, "Could not parse the number of retries: {}",
|
||||
std::string_view(token.begin, token.end));
|
||||
|
||||
max_retries = std::stoul(std::string(token.begin, token.end));
|
||||
|
||||
token = comment_lexer.nextToken();
|
||||
while (token.type == TokenType::Whitespace)
|
||||
token = comment_lexer.nextToken();
|
||||
|
||||
if (token.type != TokenType::BareWord ||
|
||||
(std::string_view(token.begin, token.end) != "until" &&
|
||||
std::string_view(token.begin, token.end) != "while"))
|
||||
throw DB::Exception(DB::ErrorCodes::CANNOT_PARSE_TEXT, "Expected 'until' or 'while' after the number of retries, got: {}",
|
||||
std::string_view(token.begin, token.end));
|
||||
retry_until = std::string_view(token.begin, token.end) == "until";
|
||||
}
|
||||
}
|
||||
else if (!is_leading_hint && token.type == TokenType::BareWord && command_errors.contains(item))
|
||||
{
|
||||
@ -133,6 +180,9 @@ void TestHint::parse(Lexer & comment_lexer, bool is_leading_hint)
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (max_retries && server_errors.size() != 1)
|
||||
throw DB::Exception(DB::ErrorCodes::CANNOT_PARSE_TEXT, "Expected one serverError after the 'retry N while|until' command");
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@ -6,6 +6,7 @@
|
||||
#include <fmt/format.h>
|
||||
|
||||
#include <Core/Types.h>
|
||||
#include <Common/Exception.h>
|
||||
|
||||
|
||||
namespace DB
|
||||
@ -65,12 +66,17 @@ public:
|
||||
bool hasExpectedClientError(int error);
|
||||
bool hasExpectedServerError(int error);
|
||||
|
||||
bool needRetry(const std::unique_ptr<Exception> & server_exception, size_t * retries_counter);
|
||||
|
||||
private:
|
||||
const String & query;
|
||||
ErrorVector server_errors{};
|
||||
ErrorVector client_errors{};
|
||||
std::optional<bool> echo;
|
||||
|
||||
size_t max_retries = 0;
|
||||
bool retry_until = false;
|
||||
|
||||
void parse(Lexer & comment_lexer, bool is_leading_hint);
|
||||
|
||||
bool allErrorsExpected(int actual_server_error, int actual_client_error) const
|
||||
|
||||
@ -154,6 +154,7 @@ StoragePtr DatabaseSQLite::fetchTable(const String & table_name, ContextPtr loca
|
||||
table_name,
|
||||
ColumnsDescription{*columns},
|
||||
ConstraintsDescription{},
|
||||
/* comment = */ "",
|
||||
local_context);
|
||||
|
||||
return storage;
|
||||
|
||||
@ -84,7 +84,7 @@ public:
|
||||
return std::make_shared<DataTypeArray>(std::make_shared<DataTypeString>());
|
||||
}
|
||||
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t /*input_rows_count*/) const override
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const override
|
||||
{
|
||||
Generator generator;
|
||||
generator.init(arguments, max_substrings_includes_remaining_string);
|
||||
@ -107,18 +107,17 @@ public:
|
||||
const ColumnString::Chars & src_chars = col_str->getChars();
|
||||
const ColumnString::Offsets & src_offsets = col_str->getOffsets();
|
||||
|
||||
res_offsets.reserve(src_offsets.size());
|
||||
res_strings_offsets.reserve(src_offsets.size() * 5); /// Constant 5 - at random.
|
||||
res_offsets.reserve(input_rows_count);
|
||||
res_strings_offsets.reserve(input_rows_count * 5); /// Constant 5 - at random.
|
||||
res_strings_chars.reserve(src_chars.size());
|
||||
|
||||
Pos token_begin = nullptr;
|
||||
Pos token_end = nullptr;
|
||||
|
||||
size_t size = src_offsets.size();
|
||||
ColumnString::Offset current_src_offset = 0;
|
||||
ColumnArray::Offset current_dst_offset = 0;
|
||||
ColumnString::Offset current_dst_strings_offset = 0;
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
Pos pos = reinterpret_cast<Pos>(&src_chars[current_src_offset]);
|
||||
current_src_offset = src_offsets[i];
|
||||
|
||||
@ -50,7 +50,7 @@ public:
|
||||
return std::make_shared<DataTypeArray>(std::make_shared<DataTypeArray>(std::make_shared<DataTypeFloat32>()));
|
||||
}
|
||||
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t) const override
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
||||
{
|
||||
ColumnPtr array_ptr = arguments[0].column;
|
||||
const ColumnArray * array = checkAndGetColumn<ColumnArray>(array_ptr.get());
|
||||
@ -79,7 +79,7 @@ public:
|
||||
|
||||
ColumnArray::Offset prev_src_offset = 0;
|
||||
|
||||
for (size_t i = 0; i < src_offsets.size(); ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
UInt64 period;
|
||||
auto period_ptr = arguments[1].column->convertToFullColumnIfConst();
|
||||
|
||||
@ -55,7 +55,7 @@ public:
|
||||
|
||||
|
||||
template <typename DataType>
|
||||
bool executeConstant(ColumnPtr col_times, ColumnString::Offsets & res_offsets, ColumnString::Chars & res_chars) const
|
||||
bool executeConstant(ColumnPtr col_times, ColumnString::Offsets & res_offsets, ColumnString::Chars & res_chars, size_t input_rows_count) const
|
||||
{
|
||||
const ColumnConst & col_times_const = checkAndGetColumn<ColumnConst>(*col_times);
|
||||
|
||||
@ -71,12 +71,12 @@ public:
|
||||
|
||||
checkRepeatTime(times);
|
||||
|
||||
res_offsets.resize(col_times->size());
|
||||
res_chars.resize(col_times->size() * (times + 1));
|
||||
res_offsets.resize(input_rows_count);
|
||||
res_chars.resize(input_rows_count * (times + 1));
|
||||
|
||||
size_t pos = 0;
|
||||
|
||||
for (size_t i = 0; i < col_times->size(); ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
memset(res_chars.begin() + pos, space, times);
|
||||
pos += times;
|
||||
@ -92,20 +92,20 @@ public:
|
||||
|
||||
|
||||
template <typename DataType>
|
||||
bool executeVector(ColumnPtr col_times_, ColumnString::Offsets & res_offsets, ColumnString::Chars & res_chars) const
|
||||
bool executeVector(ColumnPtr col_times_, ColumnString::Offsets & res_offsets, ColumnString::Chars & res_chars, size_t input_rows_count) const
|
||||
{
|
||||
auto * col_times = checkAndGetColumn<typename DataType::ColumnType>(col_times_.get());
|
||||
if (!col_times)
|
||||
return false;
|
||||
|
||||
res_offsets.resize(col_times->size());
|
||||
res_chars.resize(col_times->size() * 10); /// heuristic
|
||||
res_offsets.resize(input_rows_count);
|
||||
res_chars.resize(input_rows_count * 10); /// heuristic
|
||||
|
||||
const PaddedPODArray<typename DataType::FieldType> & times_data = col_times->getData();
|
||||
|
||||
size_t pos = 0;
|
||||
|
||||
for (size_t i = 0; i < col_times->size(); ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
typename DataType::FieldType times = times_data[i];
|
||||
|
||||
@ -132,7 +132,7 @@ public:
|
||||
}
|
||||
|
||||
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/) const override
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
||||
{
|
||||
const auto & col_num = arguments[0].column;
|
||||
|
||||
@ -143,26 +143,26 @@ public:
|
||||
|
||||
if (const ColumnConst * col_num_const = checkAndGetColumn<ColumnConst>(col_num.get()))
|
||||
{
|
||||
if ((executeConstant<DataTypeUInt8>(col_num, res_offsets, res_chars))
|
||||
|| (executeConstant<DataTypeUInt16>(col_num, res_offsets, res_chars))
|
||||
|| (executeConstant<DataTypeUInt32>(col_num, res_offsets, res_chars))
|
||||
|| (executeConstant<DataTypeUInt64>(col_num, res_offsets, res_chars))
|
||||
|| (executeConstant<DataTypeInt8>(col_num, res_offsets, res_chars))
|
||||
|| (executeConstant<DataTypeInt16>(col_num, res_offsets, res_chars))
|
||||
|| (executeConstant<DataTypeInt32>(col_num, res_offsets, res_chars))
|
||||
|| (executeConstant<DataTypeInt64>(col_num, res_offsets, res_chars)))
|
||||
if ((executeConstant<DataTypeUInt8>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeConstant<DataTypeUInt16>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeConstant<DataTypeUInt32>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeConstant<DataTypeUInt64>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeConstant<DataTypeInt8>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeConstant<DataTypeInt16>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeConstant<DataTypeInt32>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeConstant<DataTypeInt64>(col_num, res_offsets, res_chars, input_rows_count)))
|
||||
return col_res;
|
||||
}
|
||||
else
|
||||
{
|
||||
if ((executeVector<DataTypeUInt8>(col_num, res_offsets, res_chars))
|
||||
|| (executeVector<DataTypeUInt16>(col_num, res_offsets, res_chars))
|
||||
|| (executeVector<DataTypeUInt32>(col_num, res_offsets, res_chars))
|
||||
|| (executeVector<DataTypeUInt64>(col_num, res_offsets, res_chars))
|
||||
|| (executeVector<DataTypeInt8>(col_num, res_offsets, res_chars))
|
||||
|| (executeVector<DataTypeInt16>(col_num, res_offsets, res_chars))
|
||||
|| (executeVector<DataTypeInt32>(col_num, res_offsets, res_chars))
|
||||
|| (executeVector<DataTypeInt64>(col_num, res_offsets, res_chars)))
|
||||
if ((executeVector<DataTypeUInt8>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeVector<DataTypeUInt16>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeVector<DataTypeUInt32>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeVector<DataTypeUInt64>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeVector<DataTypeInt8>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeVector<DataTypeInt16>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeVector<DataTypeInt32>(col_num, res_offsets, res_chars, input_rows_count))
|
||||
|| (executeVector<DataTypeInt64>(col_num, res_offsets, res_chars, input_rows_count)))
|
||||
return col_res;
|
||||
}
|
||||
|
||||
|
||||
@ -32,7 +32,8 @@ struct StemImpl
|
||||
const ColumnString::Offsets & offsets,
|
||||
ColumnString::Chars & res_data,
|
||||
ColumnString::Offsets & res_offsets,
|
||||
const String & language)
|
||||
const String & language,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
sb_stemmer * stemmer = sb_stemmer_new(language.data(), "UTF_8");
|
||||
|
||||
@ -45,7 +46,7 @@ struct StemImpl
|
||||
res_offsets.assign(offsets);
|
||||
|
||||
UInt64 data_size = 0;
|
||||
for (UInt64 i = 0; i < offsets.size(); ++i)
|
||||
for (UInt64 i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
/// Note that accessing -1th element is valid for PaddedPODArray.
|
||||
size_t original_size = offsets[i] - offsets[i - 1];
|
||||
@ -101,7 +102,7 @@ public:
|
||||
|
||||
ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return {0}; }
|
||||
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t) const override
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
||||
{
|
||||
const auto & langcolumn = arguments[0].column;
|
||||
const auto & strcolumn = arguments[1].column;
|
||||
@ -119,7 +120,7 @@ public:
|
||||
String language = lang_col->getValue<String>();
|
||||
|
||||
auto col_res = ColumnString::create();
|
||||
StemImpl::vector(words_col->getChars(), words_col->getOffsets(), col_res->getChars(), col_res->getOffsets(), language);
|
||||
StemImpl::vector(words_col->getChars(), words_col->getOffsets(), col_res->getChars(), col_res->getOffsets(), language, input_rows_count);
|
||||
return col_res;
|
||||
}
|
||||
};
|
||||
|
||||
@ -40,7 +40,7 @@ public:
|
||||
|
||||
bool useDefaultImplementationForConstants() const override { return true; }
|
||||
|
||||
static bool tryExecuteString(const IColumn * col, ColumnPtr & col_res)
|
||||
static bool tryExecuteString(const IColumn * col, ColumnPtr & col_res, size_t input_rows_count)
|
||||
{
|
||||
const ColumnString * col_str_in = checkAndGetColumn<ColumnString>(col);
|
||||
|
||||
@ -53,8 +53,7 @@ public:
|
||||
const ColumnString::Chars & in_vec = col_str_in->getChars();
|
||||
const ColumnString::Offsets & in_offsets = col_str_in->getOffsets();
|
||||
|
||||
size_t size = in_offsets.size();
|
||||
out_offsets.resize(size);
|
||||
out_offsets.resize(input_rows_count);
|
||||
out_vec.resize(in_vec.size());
|
||||
|
||||
char * begin = reinterpret_cast<char *>(out_vec.data());
|
||||
@ -62,7 +61,7 @@ public:
|
||||
|
||||
ColumnString::Offset current_in_offset = 0;
|
||||
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
const char * pos_in = reinterpret_cast<const char *>(&in_vec[current_in_offset]);
|
||||
size_t current_size = strlen(pos_in);
|
||||
@ -87,7 +86,7 @@ public:
|
||||
}
|
||||
}
|
||||
|
||||
static bool tryExecuteFixedString(const IColumn * col, ColumnPtr & col_res)
|
||||
static bool tryExecuteFixedString(const IColumn * col, ColumnPtr & col_res, size_t input_rows_count)
|
||||
{
|
||||
const ColumnFixedString * col_fstr_in = checkAndGetColumn<ColumnFixedString>(col);
|
||||
|
||||
@ -99,10 +98,8 @@ public:
|
||||
|
||||
const ColumnString::Chars & in_vec = col_fstr_in->getChars();
|
||||
|
||||
size_t size = col_fstr_in->size();
|
||||
|
||||
out_offsets.resize(size);
|
||||
out_vec.resize(in_vec.size() + size);
|
||||
out_offsets.resize(input_rows_count);
|
||||
out_vec.resize(in_vec.size() + input_rows_count);
|
||||
|
||||
char * begin = reinterpret_cast<char *>(out_vec.data());
|
||||
char * pos = begin;
|
||||
@ -110,7 +107,7 @@ public:
|
||||
|
||||
size_t n = col_fstr_in->getN();
|
||||
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
size_t current_size = strnlen(pos_in, n);
|
||||
memcpySmallAllowReadWriteOverflow15(pos, pos_in, current_size);
|
||||
@ -133,12 +130,12 @@ public:
|
||||
}
|
||||
}
|
||||
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/) const override
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
||||
{
|
||||
const IColumn * column = arguments[0].column.get();
|
||||
ColumnPtr res_column;
|
||||
|
||||
if (tryExecuteFixedString(column, res_column) || tryExecuteString(column, res_column))
|
||||
if (tryExecuteFixedString(column, res_column, input_rows_count) || tryExecuteString(column, res_column, input_rows_count))
|
||||
return res_column;
|
||||
|
||||
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of argument of function {}",
|
||||
|
||||
@ -68,7 +68,7 @@ namespace
|
||||
return std::make_shared<DataTypeString>();
|
||||
}
|
||||
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/) const override
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
||||
{
|
||||
ColumnPtr column_string = arguments[0].column;
|
||||
ColumnPtr column_delim = arguments[1].column;
|
||||
@ -110,10 +110,10 @@ namespace
|
||||
if (is_count_const)
|
||||
{
|
||||
Int64 count = column_count->getInt(0);
|
||||
vectorConstant(col_str, delim, count, vec_res, offsets_res);
|
||||
vectorConstant(col_str, delim, count, vec_res, offsets_res, input_rows_count);
|
||||
}
|
||||
else
|
||||
vectorVector(col_str, delim, column_count.get(), vec_res, offsets_res);
|
||||
vectorVector(col_str, delim, column_count.get(), vec_res, offsets_res, input_rows_count);
|
||||
}
|
||||
return column_res;
|
||||
}
|
||||
@ -124,18 +124,18 @@ namespace
|
||||
const String & delim,
|
||||
const IColumn * count_column,
|
||||
ColumnString::Chars & res_data,
|
||||
ColumnString::Offsets & res_offsets)
|
||||
ColumnString::Offsets & res_offsets,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
size_t rows = str_column->size();
|
||||
res_data.reserve(str_column->getChars().size() / 2);
|
||||
res_offsets.reserve(rows);
|
||||
res_offsets.reserve(input_rows_count);
|
||||
|
||||
bool all_ascii = isAllASCII(str_column->getChars().data(), str_column->getChars().size())
|
||||
&& isAllASCII(reinterpret_cast<const UInt8 *>(delim.data()), delim.size());
|
||||
std::unique_ptr<PositionCaseSensitiveUTF8::SearcherInBigHaystack> searcher
|
||||
= !is_utf8 || all_ascii ? nullptr : std::make_unique<PositionCaseSensitiveUTF8::SearcherInBigHaystack>(delim.data(), delim.size());
|
||||
|
||||
for (size_t i = 0; i < rows; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
StringRef str_ref = str_column->getDataAt(i);
|
||||
Int64 count = count_column->getInt(i);
|
||||
@ -157,18 +157,18 @@ namespace
|
||||
const String & delim,
|
||||
Int64 count,
|
||||
ColumnString::Chars & res_data,
|
||||
ColumnString::Offsets & res_offsets)
|
||||
ColumnString::Offsets & res_offsets,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
size_t rows = str_column->size();
|
||||
res_data.reserve(str_column->getChars().size() / 2);
|
||||
res_offsets.reserve(rows);
|
||||
res_offsets.reserve(input_rows_count);
|
||||
|
||||
bool all_ascii = isAllASCII(str_column->getChars().data(), str_column->getChars().size())
|
||||
&& isAllASCII(reinterpret_cast<const UInt8 *>(delim.data()), delim.size());
|
||||
std::unique_ptr<PositionCaseSensitiveUTF8::SearcherInBigHaystack> searcher
|
||||
= !is_utf8 || all_ascii ? nullptr : std::make_unique<PositionCaseSensitiveUTF8::SearcherInBigHaystack>(delim.data(), delim.size());
|
||||
|
||||
for (size_t i = 0; i < rows; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
StringRef str_ref = str_column->getDataAt(i);
|
||||
|
||||
|
||||
@ -6,6 +6,7 @@ namespace DB
|
||||
{
|
||||
|
||||
using FunctionSubtractNanoseconds = FunctionDateOrDateTimeAddInterval<SubtractNanosecondsImpl>;
|
||||
|
||||
REGISTER_FUNCTION(SubtractNanoseconds)
|
||||
{
|
||||
factory.registerFunction<FunctionSubtractNanoseconds>();
|
||||
|
||||
@ -152,7 +152,7 @@ private:
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
bool allow_custom_error_code_argument;
|
||||
const bool allow_custom_error_code_argument;
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
@ -41,18 +41,17 @@ struct TimeSlotsImpl
|
||||
/// The following three methods process DateTime type
|
||||
static void vectorVector(
|
||||
const PaddedPODArray<UInt32> & starts, const PaddedPODArray<UInt32> & durations, UInt32 time_slot_size,
|
||||
PaddedPODArray<UInt32> & result_values, ColumnArray::Offsets & result_offsets)
|
||||
PaddedPODArray<UInt32> & result_values, ColumnArray::Offsets & result_offsets,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
if (time_slot_size == 0)
|
||||
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Time slot size cannot be zero");
|
||||
|
||||
size_t size = starts.size();
|
||||
|
||||
result_offsets.resize(size);
|
||||
result_values.reserve(size);
|
||||
result_offsets.resize(input_rows_count);
|
||||
result_values.reserve(input_rows_count);
|
||||
|
||||
ColumnArray::Offset current_offset = 0;
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
for (UInt32 value = starts[i] / time_slot_size, end = (starts[i] + durations[i]) / time_slot_size; value <= end; ++value)
|
||||
{
|
||||
@ -66,18 +65,17 @@ struct TimeSlotsImpl
|
||||
|
||||
static void vectorConstant(
|
||||
const PaddedPODArray<UInt32> & starts, UInt32 duration, UInt32 time_slot_size,
|
||||
PaddedPODArray<UInt32> & result_values, ColumnArray::Offsets & result_offsets)
|
||||
PaddedPODArray<UInt32> & result_values, ColumnArray::Offsets & result_offsets,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
if (time_slot_size == 0)
|
||||
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Time slot size cannot be zero");
|
||||
|
||||
size_t size = starts.size();
|
||||
|
||||
result_offsets.resize(size);
|
||||
result_values.reserve(size);
|
||||
result_offsets.resize(input_rows_count);
|
||||
result_values.reserve(input_rows_count);
|
||||
|
||||
ColumnArray::Offset current_offset = 0;
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
for (UInt32 value = starts[i] / time_slot_size, end = (starts[i] + duration) / time_slot_size; value <= end; ++value)
|
||||
{
|
||||
@ -91,18 +89,17 @@ struct TimeSlotsImpl
|
||||
|
||||
static void constantVector(
|
||||
UInt32 start, const PaddedPODArray<UInt32> & durations, UInt32 time_slot_size,
|
||||
PaddedPODArray<UInt32> & result_values, ColumnArray::Offsets & result_offsets)
|
||||
PaddedPODArray<UInt32> & result_values, ColumnArray::Offsets & result_offsets,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
if (time_slot_size == 0)
|
||||
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Time slot size cannot be zero");
|
||||
|
||||
size_t size = durations.size();
|
||||
|
||||
result_offsets.resize(size);
|
||||
result_values.reserve(size);
|
||||
result_offsets.resize(input_rows_count);
|
||||
result_values.reserve(input_rows_count);
|
||||
|
||||
ColumnArray::Offset current_offset = 0;
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
for (UInt32 value = start / time_slot_size, end = (start + durations[i]) / time_slot_size; value <= end; ++value)
|
||||
{
|
||||
@ -120,12 +117,11 @@ struct TimeSlotsImpl
|
||||
*/
|
||||
static NO_SANITIZE_UNDEFINED void vectorVector(
|
||||
const PaddedPODArray<DateTime64> & starts, const PaddedPODArray<Decimal64> & durations, Decimal64 time_slot_size,
|
||||
PaddedPODArray<DateTime64> & result_values, ColumnArray::Offsets & result_offsets, UInt16 dt_scale, UInt16 duration_scale, UInt16 time_slot_scale)
|
||||
PaddedPODArray<DateTime64> & result_values, ColumnArray::Offsets & result_offsets, UInt16 dt_scale, UInt16 duration_scale, UInt16 time_slot_scale,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
size_t size = starts.size();
|
||||
|
||||
result_offsets.resize(size);
|
||||
result_values.reserve(size);
|
||||
result_offsets.resize(input_rows_count);
|
||||
result_values.reserve(input_rows_count);
|
||||
|
||||
/// Modify all units to have same scale
|
||||
UInt16 max_scale = std::max({dt_scale, duration_scale, time_slot_scale});
|
||||
@ -139,7 +135,7 @@ struct TimeSlotsImpl
|
||||
if (time_slot_size == 0)
|
||||
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Time slot size cannot be zero");
|
||||
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
for (DateTime64 value = (starts[i] * dt_multiplier) / time_slot_size, end = (starts[i] * dt_multiplier + durations[i] * dur_multiplier) / time_slot_size; value <= end; value += 1)
|
||||
{
|
||||
@ -152,12 +148,11 @@ struct TimeSlotsImpl
|
||||
|
||||
static NO_SANITIZE_UNDEFINED void vectorConstant(
|
||||
const PaddedPODArray<DateTime64> & starts, Decimal64 duration, Decimal64 time_slot_size,
|
||||
PaddedPODArray<DateTime64> & result_values, ColumnArray::Offsets & result_offsets, UInt16 dt_scale, UInt16 duration_scale, UInt16 time_slot_scale)
|
||||
PaddedPODArray<DateTime64> & result_values, ColumnArray::Offsets & result_offsets, UInt16 dt_scale, UInt16 duration_scale, UInt16 time_slot_scale,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
size_t size = starts.size();
|
||||
|
||||
result_offsets.resize(size);
|
||||
result_values.reserve(size);
|
||||
result_offsets.resize(input_rows_count);
|
||||
result_values.reserve(input_rows_count);
|
||||
|
||||
/// Modify all units to have same scale
|
||||
UInt16 max_scale = std::max({dt_scale, duration_scale, time_slot_scale});
|
||||
@ -172,7 +167,7 @@ struct TimeSlotsImpl
|
||||
if (time_slot_size == 0)
|
||||
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Time slot size cannot be zero");
|
||||
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
for (DateTime64 value = (starts[i] * dt_multiplier) / time_slot_size, end = (starts[i] * dt_multiplier + duration) / time_slot_size; value <= end; value += 1)
|
||||
{
|
||||
@ -185,12 +180,11 @@ struct TimeSlotsImpl
|
||||
|
||||
static NO_SANITIZE_UNDEFINED void constantVector(
|
||||
DateTime64 start, const PaddedPODArray<Decimal64> & durations, Decimal64 time_slot_size,
|
||||
PaddedPODArray<DateTime64> & result_values, ColumnArray::Offsets & result_offsets, UInt16 dt_scale, UInt16 duration_scale, UInt16 time_slot_scale)
|
||||
PaddedPODArray<DateTime64> & result_values, ColumnArray::Offsets & result_offsets, UInt16 dt_scale, UInt16 duration_scale, UInt16 time_slot_scale,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
size_t size = durations.size();
|
||||
|
||||
result_offsets.resize(size);
|
||||
result_values.reserve(size);
|
||||
result_offsets.resize(input_rows_count);
|
||||
result_values.reserve(input_rows_count);
|
||||
|
||||
/// Modify all units to have same scale
|
||||
UInt16 max_scale = std::max({dt_scale, duration_scale, time_slot_scale});
|
||||
@ -205,7 +199,7 @@ struct TimeSlotsImpl
|
||||
if (time_slot_size == 0)
|
||||
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Time slot size cannot be zero");
|
||||
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
for (DateTime64 value = start / time_slot_size, end = (start + durations[i] * dur_multiplier) / time_slot_size; value <= end; value += 1)
|
||||
{
|
||||
@ -282,7 +276,7 @@ public:
|
||||
|
||||
}
|
||||
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t) const override
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
||||
{
|
||||
if (WhichDataType(arguments[0].type).isDateTime())
|
||||
{
|
||||
@ -308,17 +302,17 @@ public:
|
||||
|
||||
if (dt_starts && durations)
|
||||
{
|
||||
TimeSlotsImpl::vectorVector(dt_starts->getData(), durations->getData(), time_slot_size, res_values, res->getOffsets());
|
||||
TimeSlotsImpl::vectorVector(dt_starts->getData(), durations->getData(), time_slot_size, res_values, res->getOffsets(), input_rows_count);
|
||||
return res;
|
||||
}
|
||||
else if (dt_starts && const_durations)
|
||||
{
|
||||
TimeSlotsImpl::vectorConstant(dt_starts->getData(), const_durations->getValue<UInt32>(), time_slot_size, res_values, res->getOffsets());
|
||||
TimeSlotsImpl::vectorConstant(dt_starts->getData(), const_durations->getValue<UInt32>(), time_slot_size, res_values, res->getOffsets(), input_rows_count);
|
||||
return res;
|
||||
}
|
||||
else if (dt_const_starts && durations)
|
||||
{
|
||||
TimeSlotsImpl::constantVector(dt_const_starts->getValue<UInt32>(), durations->getData(), time_slot_size, res_values, res->getOffsets());
|
||||
TimeSlotsImpl::constantVector(dt_const_starts->getValue<UInt32>(), durations->getData(), time_slot_size, res_values, res->getOffsets(), input_rows_count);
|
||||
return res;
|
||||
}
|
||||
}
|
||||
@ -353,21 +347,21 @@ public:
|
||||
if (starts && durations)
|
||||
{
|
||||
TimeSlotsImpl::vectorVector(starts->getData(), durations->getData(), time_slot_size, res_values, res->getOffsets(),
|
||||
start_time_scale, duration_scale, time_slot_scale);
|
||||
start_time_scale, duration_scale, time_slot_scale, input_rows_count);
|
||||
return res;
|
||||
}
|
||||
else if (starts && const_durations)
|
||||
{
|
||||
TimeSlotsImpl::vectorConstant(
|
||||
starts->getData(), const_durations->getValue<Decimal64>(), time_slot_size, res_values, res->getOffsets(),
|
||||
start_time_scale, duration_scale, time_slot_scale);
|
||||
start_time_scale, duration_scale, time_slot_scale, input_rows_count);
|
||||
return res;
|
||||
}
|
||||
else if (const_starts && durations)
|
||||
{
|
||||
TimeSlotsImpl::constantVector(
|
||||
const_starts->getValue<DateTime64>(), durations->getData(), time_slot_size, res_values, res->getOffsets(),
|
||||
start_time_scale, duration_scale, time_slot_scale);
|
||||
start_time_scale, duration_scale, time_slot_scale, input_rows_count);
|
||||
return res;
|
||||
}
|
||||
}
|
||||
|
||||
@ -54,9 +54,9 @@ private:
|
||||
/// For operations with Integer/Float
|
||||
template <typename FromVectorType>
|
||||
void vectorConstant(const FromVectorType & vec_from, UInt8 precision,
|
||||
ColumnString::Chars & vec_to, ColumnString::Offsets & result_offsets) const
|
||||
ColumnString::Chars & vec_to, ColumnString::Offsets & result_offsets,
|
||||
size_t input_rows_count) const
|
||||
{
|
||||
size_t input_rows_count = vec_from.size();
|
||||
result_offsets.resize(input_rows_count);
|
||||
|
||||
/// Buffer is used here and in functions below because resulting size cannot be precisely anticipated,
|
||||
@ -74,9 +74,9 @@ private:
|
||||
|
||||
template <typename FirstArgVectorType>
|
||||
void vectorVector(const FirstArgVectorType & vec_from, const ColumnVector<UInt8>::Container & vec_precision,
|
||||
ColumnString::Chars & vec_to, ColumnString::Offsets & result_offsets) const
|
||||
ColumnString::Chars & vec_to, ColumnString::Offsets & result_offsets,
|
||||
size_t input_rows_count) const
|
||||
{
|
||||
size_t input_rows_count = vec_from.size();
|
||||
result_offsets.resize(input_rows_count);
|
||||
|
||||
WriteBufferFromVector<ColumnString::Chars> buf_to(vec_to);
|
||||
@ -98,7 +98,8 @@ private:
|
||||
/// For operations with Decimal
|
||||
template <typename FirstArgVectorType>
|
||||
void vectorConstant(const FirstArgVectorType & vec_from, UInt8 precision,
|
||||
ColumnString::Chars & vec_to, ColumnString::Offsets & result_offsets, UInt8 from_scale) const
|
||||
ColumnString::Chars & vec_to, ColumnString::Offsets & result_offsets, UInt8 from_scale,
|
||||
size_t input_rows_count) const
|
||||
{
|
||||
/// There are no more than 77 meaning digits (as it is the max length of UInt256). So we can limit it with 77.
|
||||
constexpr size_t max_digits = std::numeric_limits<UInt256>::digits10;
|
||||
@ -107,7 +108,6 @@ private:
|
||||
"Too many fractional digits requested for Decimal, must not be more than {}", max_digits);
|
||||
|
||||
WriteBufferFromVector<ColumnString::Chars> buf_to(vec_to);
|
||||
size_t input_rows_count = vec_from.size();
|
||||
result_offsets.resize(input_rows_count);
|
||||
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
@ -121,9 +121,9 @@ private:
|
||||
|
||||
template <typename FirstArgVectorType>
|
||||
void vectorVector(const FirstArgVectorType & vec_from, const ColumnVector<UInt8>::Container & vec_precision,
|
||||
ColumnString::Chars & vec_to, ColumnString::Offsets & result_offsets, UInt8 from_scale) const
|
||||
ColumnString::Chars & vec_to, ColumnString::Offsets & result_offsets, UInt8 from_scale,
|
||||
size_t input_rows_count) const
|
||||
{
|
||||
size_t input_rows_count = vec_from.size();
|
||||
result_offsets.resize(input_rows_count);
|
||||
|
||||
WriteBufferFromVector<ColumnString::Chars> buf_to(vec_to);
|
||||
@ -182,28 +182,28 @@ private:
|
||||
}
|
||||
|
||||
public:
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/) const override
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
||||
{
|
||||
switch (arguments[0].type->getTypeId())
|
||||
{
|
||||
case TypeIndex::UInt8: return executeType<UInt8>(arguments);
|
||||
case TypeIndex::UInt16: return executeType<UInt16>(arguments);
|
||||
case TypeIndex::UInt32: return executeType<UInt32>(arguments);
|
||||
case TypeIndex::UInt64: return executeType<UInt64>(arguments);
|
||||
case TypeIndex::UInt128: return executeType<UInt128>(arguments);
|
||||
case TypeIndex::UInt256: return executeType<UInt256>(arguments);
|
||||
case TypeIndex::Int8: return executeType<Int8>(arguments);
|
||||
case TypeIndex::Int16: return executeType<Int16>(arguments);
|
||||
case TypeIndex::Int32: return executeType<Int32>(arguments);
|
||||
case TypeIndex::Int64: return executeType<Int64>(arguments);
|
||||
case TypeIndex::Int128: return executeType<Int128>(arguments);
|
||||
case TypeIndex::Int256: return executeType<Int256>(arguments);
|
||||
case TypeIndex::Float32: return executeType<Float32>(arguments);
|
||||
case TypeIndex::Float64: return executeType<Float64>(arguments);
|
||||
case TypeIndex::Decimal32: return executeType<Decimal32>(arguments);
|
||||
case TypeIndex::Decimal64: return executeType<Decimal64>(arguments);
|
||||
case TypeIndex::Decimal128: return executeType<Decimal128>(arguments);
|
||||
case TypeIndex::Decimal256: return executeType<Decimal256>(arguments);
|
||||
case TypeIndex::UInt8: return executeType<UInt8>(arguments, input_rows_count);
|
||||
case TypeIndex::UInt16: return executeType<UInt16>(arguments, input_rows_count);
|
||||
case TypeIndex::UInt32: return executeType<UInt32>(arguments, input_rows_count);
|
||||
case TypeIndex::UInt64: return executeType<UInt64>(arguments, input_rows_count);
|
||||
case TypeIndex::UInt128: return executeType<UInt128>(arguments, input_rows_count);
|
||||
case TypeIndex::UInt256: return executeType<UInt256>(arguments, input_rows_count);
|
||||
case TypeIndex::Int8: return executeType<Int8>(arguments, input_rows_count);
|
||||
case TypeIndex::Int16: return executeType<Int16>(arguments, input_rows_count);
|
||||
case TypeIndex::Int32: return executeType<Int32>(arguments, input_rows_count);
|
||||
case TypeIndex::Int64: return executeType<Int64>(arguments, input_rows_count);
|
||||
case TypeIndex::Int128: return executeType<Int128>(arguments, input_rows_count);
|
||||
case TypeIndex::Int256: return executeType<Int256>(arguments, input_rows_count);
|
||||
case TypeIndex::Float32: return executeType<Float32>(arguments, input_rows_count);
|
||||
case TypeIndex::Float64: return executeType<Float64>(arguments, input_rows_count);
|
||||
case TypeIndex::Decimal32: return executeType<Decimal32>(arguments, input_rows_count);
|
||||
case TypeIndex::Decimal64: return executeType<Decimal64>(arguments, input_rows_count);
|
||||
case TypeIndex::Decimal128: return executeType<Decimal128>(arguments, input_rows_count);
|
||||
case TypeIndex::Decimal256: return executeType<Decimal256>(arguments, input_rows_count);
|
||||
default:
|
||||
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of argument of function {}",
|
||||
arguments[0].column->getName(), getName());
|
||||
@ -212,7 +212,7 @@ public:
|
||||
|
||||
private:
|
||||
template <typename T>
|
||||
ColumnPtr executeType(const ColumnsWithTypeAndName & arguments) const
|
||||
ColumnPtr executeType(const ColumnsWithTypeAndName & arguments, size_t input_rows_count) const
|
||||
{
|
||||
const auto * precision_col = checkAndGetColumn<ColumnVector<UInt8>>(arguments[1].column.get());
|
||||
const auto * precision_col_const = checkAndGetColumnConst<ColumnVector<UInt8>>(arguments[1].column.get());
|
||||
@ -230,9 +230,9 @@ private:
|
||||
{
|
||||
UInt8 from_scale = from_col->getScale();
|
||||
if (precision_col_const)
|
||||
vectorConstant(from_col->getData(), precision_col_const->template getValue<UInt8>(), result_chars, result_offsets, from_scale);
|
||||
vectorConstant(from_col->getData(), precision_col_const->template getValue<UInt8>(), result_chars, result_offsets, from_scale, input_rows_count);
|
||||
else if (precision_col)
|
||||
vectorVector(from_col->getData(), precision_col->getData(), result_chars, result_offsets, from_scale);
|
||||
vectorVector(from_col->getData(), precision_col->getData(), result_chars, result_offsets, from_scale, input_rows_count);
|
||||
else
|
||||
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of second argument of function formatDecimal", arguments[1].column->getName());
|
||||
}
|
||||
@ -245,9 +245,9 @@ private:
|
||||
if (from_col)
|
||||
{
|
||||
if (precision_col_const)
|
||||
vectorConstant(from_col->getData(), precision_col_const->template getValue<UInt8>(), result_chars, result_offsets);
|
||||
vectorConstant(from_col->getData(), precision_col_const->template getValue<UInt8>(), result_chars, result_offsets, input_rows_count);
|
||||
else if (precision_col)
|
||||
vectorVector(from_col->getData(), precision_col->getData(), result_chars, result_offsets);
|
||||
vectorVector(from_col->getData(), precision_col->getData(), result_chars, result_offsets, input_rows_count);
|
||||
else
|
||||
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of second argument of function formatDecimal", arguments[1].column->getName());
|
||||
|
||||
|
||||
@ -147,19 +147,20 @@ public:
|
||||
std::unreachable();
|
||||
}
|
||||
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t /* input_rows_count */) const override
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const override
|
||||
{
|
||||
const auto & time_column = arguments[0];
|
||||
const auto & interval_column = arguments[1];
|
||||
const auto & time_zone = extractTimeZoneFromFunctionArguments(arguments, 2, 0);
|
||||
auto result_column = dispatchForTimeColumn(time_column, interval_column, result_type, time_zone);
|
||||
auto result_column = dispatchForTimeColumn(time_column, interval_column, result_type, time_zone, input_rows_count);
|
||||
return result_column;
|
||||
}
|
||||
|
||||
private:
|
||||
ColumnPtr dispatchForTimeColumn(
|
||||
const ColumnWithTypeAndName & time_column, const ColumnWithTypeAndName & interval_column,
|
||||
const DataTypePtr & result_type, const DateLUTImpl & time_zone) const
|
||||
const DataTypePtr & result_type, const DateLUTImpl & time_zone,
|
||||
size_t input_rows_count) const
|
||||
{
|
||||
const auto & time_column_type = *time_column.type.get();
|
||||
const auto & time_column_col = *time_column.column.get();
|
||||
@ -170,19 +171,19 @@ private:
|
||||
auto scale = assert_cast<const DataTypeDateTime64 &>(time_column_type).getScale();
|
||||
|
||||
if (time_column_vec)
|
||||
return dispatchForIntervalColumn(assert_cast<const DataTypeDateTime64 &>(time_column_type), *time_column_vec, interval_column, result_type, time_zone, scale);
|
||||
return dispatchForIntervalColumn(assert_cast<const DataTypeDateTime64 &>(time_column_type), *time_column_vec, interval_column, result_type, time_zone, input_rows_count, scale);
|
||||
}
|
||||
else if (isDateTime(time_column_type))
|
||||
{
|
||||
const auto * time_column_vec = checkAndGetColumn<ColumnDateTime>(&time_column_col);
|
||||
if (time_column_vec)
|
||||
return dispatchForIntervalColumn(assert_cast<const DataTypeDateTime &>(time_column_type), *time_column_vec, interval_column, result_type, time_zone);
|
||||
return dispatchForIntervalColumn(assert_cast<const DataTypeDateTime &>(time_column_type), *time_column_vec, interval_column, result_type, time_zone, input_rows_count);
|
||||
}
|
||||
else if (isDate(time_column_type))
|
||||
{
|
||||
const auto * time_column_vec = checkAndGetColumn<ColumnDate>(&time_column_col);
|
||||
if (time_column_vec)
|
||||
return dispatchForIntervalColumn(assert_cast<const DataTypeDate &>(time_column_type), *time_column_vec, interval_column, result_type, time_zone);
|
||||
return dispatchForIntervalColumn(assert_cast<const DataTypeDate &>(time_column_type), *time_column_vec, interval_column, result_type, time_zone, input_rows_count);
|
||||
}
|
||||
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Illegal column for 1st argument of function {}, expected a Date, DateTime or DateTime64", getName());
|
||||
}
|
||||
@ -190,7 +191,7 @@ private:
|
||||
template <typename TimeDataType, typename TimeColumnType>
|
||||
ColumnPtr dispatchForIntervalColumn(
|
||||
const TimeDataType & time_data_type, const TimeColumnType & time_column, const ColumnWithTypeAndName & interval_column,
|
||||
const DataTypePtr & result_type, const DateLUTImpl & time_zone, UInt16 scale = 1) const
|
||||
const DataTypePtr & result_type, const DateLUTImpl & time_zone, size_t input_rows_count, UInt16 scale = 1) const
|
||||
{
|
||||
const auto * interval_type = checkAndGetDataType<DataTypeInterval>(interval_column.type.get());
|
||||
if (!interval_type)
|
||||
@ -207,27 +208,27 @@ private:
|
||||
switch (interval_type->getKind()) // NOLINT(bugprone-switch-missing-default-case)
|
||||
{
|
||||
case IntervalKind::Kind::Nanosecond:
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime64, IntervalKind::Kind::Nanosecond>(time_data_type, time_column, num_units, result_type, time_zone, scale);
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime64, IntervalKind::Kind::Nanosecond>(time_data_type, time_column, num_units, result_type, time_zone, input_rows_count, scale);
|
||||
case IntervalKind::Kind::Microsecond:
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime64, IntervalKind::Kind::Microsecond>(time_data_type, time_column, num_units, result_type, time_zone, scale);
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime64, IntervalKind::Kind::Microsecond>(time_data_type, time_column, num_units, result_type, time_zone, input_rows_count, scale);
|
||||
case IntervalKind::Kind::Millisecond:
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime64, IntervalKind::Kind::Millisecond>(time_data_type, time_column, num_units, result_type, time_zone, scale);
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime64, IntervalKind::Kind::Millisecond>(time_data_type, time_column, num_units, result_type, time_zone, input_rows_count, scale);
|
||||
case IntervalKind::Kind::Second:
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime, IntervalKind::Kind::Second>(time_data_type, time_column, num_units, result_type, time_zone, scale);
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime, IntervalKind::Kind::Second>(time_data_type, time_column, num_units, result_type, time_zone, input_rows_count, scale);
|
||||
case IntervalKind::Kind::Minute:
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime, IntervalKind::Kind::Minute>(time_data_type, time_column, num_units, result_type, time_zone, scale);
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime, IntervalKind::Kind::Minute>(time_data_type, time_column, num_units, result_type, time_zone, input_rows_count, scale);
|
||||
case IntervalKind::Kind::Hour:
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime, IntervalKind::Kind::Hour>(time_data_type, time_column, num_units, result_type, time_zone, scale);
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime, IntervalKind::Kind::Hour>(time_data_type, time_column, num_units, result_type, time_zone, input_rows_count, scale);
|
||||
case IntervalKind::Kind::Day:
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime, IntervalKind::Kind::Day>(time_data_type, time_column, num_units, result_type, time_zone, scale);
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDateTime, IntervalKind::Kind::Day>(time_data_type, time_column, num_units, result_type, time_zone, input_rows_count, scale);
|
||||
case IntervalKind::Kind::Week:
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDate, IntervalKind::Kind::Week>(time_data_type, time_column, num_units, result_type, time_zone, scale);
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDate, IntervalKind::Kind::Week>(time_data_type, time_column, num_units, result_type, time_zone, input_rows_count, scale);
|
||||
case IntervalKind::Kind::Month:
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDate, IntervalKind::Kind::Month>(time_data_type, time_column, num_units, result_type, time_zone, scale);
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDate, IntervalKind::Kind::Month>(time_data_type, time_column, num_units, result_type, time_zone, input_rows_count, scale);
|
||||
case IntervalKind::Kind::Quarter:
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDate, IntervalKind::Kind::Quarter>(time_data_type, time_column, num_units, result_type, time_zone, scale);
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDate, IntervalKind::Kind::Quarter>(time_data_type, time_column, num_units, result_type, time_zone, input_rows_count, scale);
|
||||
case IntervalKind::Kind::Year:
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDate, IntervalKind::Kind::Year>(time_data_type, time_column, num_units, result_type, time_zone, scale);
|
||||
return execute<TimeDataType, TimeColumnType, DataTypeDate, IntervalKind::Kind::Year>(time_data_type, time_column, num_units, result_type, time_zone, input_rows_count, scale);
|
||||
}
|
||||
|
||||
std::unreachable();
|
||||
@ -236,22 +237,21 @@ private:
|
||||
template <typename TimeDataType, typename TimeColumnType, typename ResultDataType, IntervalKind::Kind unit>
|
||||
ColumnPtr execute(
|
||||
const TimeDataType &, const TimeColumnType & time_column_type, Int64 num_units,
|
||||
const DataTypePtr & result_type, const DateLUTImpl & time_zone, UInt16 scale) const
|
||||
const DataTypePtr & result_type, const DateLUTImpl & time_zone, size_t input_rows_count, UInt16 scale) const
|
||||
{
|
||||
using ResultColumnType = typename ResultDataType::ColumnType;
|
||||
using ResultFieldType = typename ResultDataType::FieldType;
|
||||
|
||||
const auto & time_data = time_column_type.getData();
|
||||
size_t size = time_data.size();
|
||||
|
||||
auto result_col = result_type->createColumn();
|
||||
auto * col_to = assert_cast<ResultColumnType *>(result_col.get());
|
||||
auto & result_data = col_to->getData();
|
||||
result_data.resize(size);
|
||||
result_data.resize(input_rows_count);
|
||||
|
||||
Int64 scale_multiplier = DecimalUtils::scaleMultiplier<DateTime64>(scale);
|
||||
|
||||
for (size_t i = 0; i != size; ++i)
|
||||
for (size_t i = 0; i != input_rows_count; ++i)
|
||||
result_data[i] = static_cast<ResultFieldType>(ToStartOfInterval<unit>::execute(time_data[i], num_units, time_zone, scale_multiplier));
|
||||
|
||||
return result_col;
|
||||
|
||||
@ -73,7 +73,7 @@ public:
|
||||
return std::make_shared<DataTypeArray>(std::make_shared<DataTypeString>());
|
||||
}
|
||||
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t) const override
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
||||
{
|
||||
auto column_offsets = ColumnArray::ColumnOffsets::create();
|
||||
|
||||
@ -90,9 +90,9 @@ public:
|
||||
auto input_column = arguments[0].column;
|
||||
|
||||
if (const auto * column_string = checkAndGetColumn<ColumnString>(input_column.get()))
|
||||
executeImpl(extractor, *column_string, *result_column_string, *column_offsets);
|
||||
executeImpl(extractor, *column_string, *result_column_string, *column_offsets, input_rows_count);
|
||||
else if (const auto * column_fixed_string = checkAndGetColumn<ColumnFixedString>(input_column.get()))
|
||||
executeImpl(extractor, *column_fixed_string, *result_column_string, *column_offsets);
|
||||
executeImpl(extractor, *column_fixed_string, *result_column_string, *column_offsets, input_rows_count);
|
||||
|
||||
return ColumnArray::create(std::move(result_column_string), std::move(column_offsets));
|
||||
}
|
||||
@ -105,9 +105,9 @@ public:
|
||||
auto input_column = arguments[0].column;
|
||||
|
||||
if (const auto * column_string = checkAndGetColumn<ColumnString>(input_column.get()))
|
||||
executeImpl(extractor, *column_string, *result_column_string, *column_offsets);
|
||||
executeImpl(extractor, *column_string, *result_column_string, *column_offsets, input_rows_count);
|
||||
else if (const auto * column_fixed_string = checkAndGetColumn<ColumnFixedString>(input_column.get()))
|
||||
executeImpl(extractor, *column_fixed_string, *result_column_string, *column_offsets);
|
||||
executeImpl(extractor, *column_fixed_string, *result_column_string, *column_offsets, input_rows_count);
|
||||
|
||||
return ColumnArray::create(std::move(result_column_string), std::move(column_offsets));
|
||||
}
|
||||
@ -120,15 +120,15 @@ private:
|
||||
const ExtractorType & extractor,
|
||||
StringColumnType & input_data_column,
|
||||
ResultStringColumnType & result_data_column,
|
||||
ColumnArray::ColumnOffsets & offsets_column) const
|
||||
ColumnArray::ColumnOffsets & offsets_column,
|
||||
size_t input_rows_count) const
|
||||
{
|
||||
size_t current_tokens_size = 0;
|
||||
auto & offsets_data = offsets_column.getData();
|
||||
|
||||
size_t column_size = input_data_column.size();
|
||||
offsets_data.resize(column_size);
|
||||
offsets_data.resize(input_rows_count);
|
||||
|
||||
for (size_t i = 0; i < column_size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
auto data = input_data_column.getDataAt(i);
|
||||
|
||||
|
||||
@ -173,30 +173,30 @@ namespace
|
||||
}
|
||||
else if (cache.table_num_to_idx)
|
||||
{
|
||||
if (!executeNum<ColumnVector<UInt8>>(in, *column_result, default_non_const, *in_casted)
|
||||
&& !executeNum<ColumnVector<UInt16>>(in, *column_result, default_non_const, *in_casted)
|
||||
&& !executeNum<ColumnVector<UInt32>>(in, *column_result, default_non_const, *in_casted)
|
||||
&& !executeNum<ColumnVector<UInt64>>(in, *column_result, default_non_const, *in_casted)
|
||||
&& !executeNum<ColumnVector<Int8>>(in, *column_result, default_non_const, *in_casted)
|
||||
&& !executeNum<ColumnVector<Int16>>(in, *column_result, default_non_const, *in_casted)
|
||||
&& !executeNum<ColumnVector<Int32>>(in, *column_result, default_non_const, *in_casted)
|
||||
&& !executeNum<ColumnVector<Int64>>(in, *column_result, default_non_const, *in_casted)
|
||||
&& !executeNum<ColumnVector<Float32>>(in, *column_result, default_non_const, *in_casted)
|
||||
&& !executeNum<ColumnVector<Float64>>(in, *column_result, default_non_const, *in_casted)
|
||||
&& !executeNum<ColumnDecimal<Decimal32>>(in, *column_result, default_non_const, *in_casted)
|
||||
&& !executeNum<ColumnDecimal<Decimal64>>(in, *column_result, default_non_const, *in_casted))
|
||||
if (!executeNum<ColumnVector<UInt8>>(in, *column_result, default_non_const, *in_casted, input_rows_count)
|
||||
&& !executeNum<ColumnVector<UInt16>>(in, *column_result, default_non_const, *in_casted, input_rows_count)
|
||||
&& !executeNum<ColumnVector<UInt32>>(in, *column_result, default_non_const, *in_casted, input_rows_count)
|
||||
&& !executeNum<ColumnVector<UInt64>>(in, *column_result, default_non_const, *in_casted, input_rows_count)
|
||||
&& !executeNum<ColumnVector<Int8>>(in, *column_result, default_non_const, *in_casted, input_rows_count)
|
||||
&& !executeNum<ColumnVector<Int16>>(in, *column_result, default_non_const, *in_casted, input_rows_count)
|
||||
&& !executeNum<ColumnVector<Int32>>(in, *column_result, default_non_const, *in_casted, input_rows_count)
|
||||
&& !executeNum<ColumnVector<Int64>>(in, *column_result, default_non_const, *in_casted, input_rows_count)
|
||||
&& !executeNum<ColumnVector<Float32>>(in, *column_result, default_non_const, *in_casted, input_rows_count)
|
||||
&& !executeNum<ColumnVector<Float64>>(in, *column_result, default_non_const, *in_casted, input_rows_count)
|
||||
&& !executeNum<ColumnDecimal<Decimal32>>(in, *column_result, default_non_const, *in_casted, input_rows_count)
|
||||
&& !executeNum<ColumnDecimal<Decimal64>>(in, *column_result, default_non_const, *in_casted, input_rows_count))
|
||||
{
|
||||
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of first argument of function {}", in->getName(), getName());
|
||||
}
|
||||
}
|
||||
else if (cache.table_string_to_idx)
|
||||
{
|
||||
if (!executeString(in, *column_result, default_non_const, *in_casted))
|
||||
executeContiguous(in, *column_result, default_non_const, *in_casted);
|
||||
if (!executeString(in, *column_result, default_non_const, *in_casted, input_rows_count))
|
||||
executeContiguous(in, *column_result, default_non_const, *in_casted, input_rows_count);
|
||||
}
|
||||
else if (cache.table_anything_to_idx)
|
||||
{
|
||||
executeAnything(in, *column_result, default_non_const, *in_casted);
|
||||
executeAnything(in, *column_result, default_non_const, *in_casted, input_rows_count);
|
||||
}
|
||||
else
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "State of the function `transform` is not initialized");
|
||||
@ -217,12 +217,11 @@ namespace
|
||||
return impl->execute(args, result_type, input_rows_count);
|
||||
}
|
||||
|
||||
void executeAnything(const IColumn * in, IColumn & column_result, const ColumnPtr default_non_const, const IColumn & in_casted) const
|
||||
void executeAnything(const IColumn * in, IColumn & column_result, const ColumnPtr default_non_const, const IColumn & in_casted, size_t input_rows_count) const
|
||||
{
|
||||
const size_t size = in->size();
|
||||
const auto & table = *cache.table_anything_to_idx;
|
||||
column_result.reserve(size);
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
column_result.reserve(input_rows_count);
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
SipHash hash;
|
||||
in->updateHashWithValue(i, hash);
|
||||
@ -239,12 +238,11 @@ namespace
|
||||
}
|
||||
}
|
||||
|
||||
void executeContiguous(const IColumn * in, IColumn & column_result, const ColumnPtr default_non_const, const IColumn & in_casted) const
|
||||
void executeContiguous(const IColumn * in, IColumn & column_result, const ColumnPtr default_non_const, const IColumn & in_casted, size_t input_rows_count) const
|
||||
{
|
||||
const size_t size = in->size();
|
||||
const auto & table = *cache.table_string_to_idx;
|
||||
column_result.reserve(size);
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
column_result.reserve(input_rows_count);
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
const auto * it = table.find(in->getDataAt(i));
|
||||
if (it)
|
||||
@ -259,7 +257,7 @@ namespace
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
bool executeNum(const IColumn * in_untyped, IColumn & column_result, const ColumnPtr default_non_const, const IColumn & in_casted) const
|
||||
bool executeNum(const IColumn * in_untyped, IColumn & column_result, const ColumnPtr default_non_const, const IColumn & in_casted, size_t input_rows_count) const
|
||||
{
|
||||
const auto * const in = checkAndGetColumn<T>(in_untyped);
|
||||
if (!in)
|
||||
@ -269,24 +267,23 @@ namespace
|
||||
if constexpr (std::is_same_v<ColumnDecimal<Decimal32>, T> || std::is_same_v<ColumnDecimal<Decimal64>, T>)
|
||||
in_scale = in->getScale();
|
||||
|
||||
if (!executeNumToString(pod, column_result, default_non_const)
|
||||
&& !executeNumToNum<ColumnVector<UInt8>>(pod, column_result, default_non_const, in_scale)
|
||||
&& !executeNumToNum<ColumnVector<UInt16>>(pod, column_result, default_non_const, in_scale)
|
||||
&& !executeNumToNum<ColumnVector<UInt32>>(pod, column_result, default_non_const, in_scale)
|
||||
&& !executeNumToNum<ColumnVector<UInt64>>(pod, column_result, default_non_const, in_scale)
|
||||
&& !executeNumToNum<ColumnVector<Int8>>(pod, column_result, default_non_const, in_scale)
|
||||
&& !executeNumToNum<ColumnVector<Int16>>(pod, column_result, default_non_const, in_scale)
|
||||
&& !executeNumToNum<ColumnVector<Int32>>(pod, column_result, default_non_const, in_scale)
|
||||
&& !executeNumToNum<ColumnVector<Int64>>(pod, column_result, default_non_const, in_scale)
|
||||
&& !executeNumToNum<ColumnVector<Float32>>(pod, column_result, default_non_const, in_scale)
|
||||
&& !executeNumToNum<ColumnVector<Float64>>(pod, column_result, default_non_const, in_scale)
|
||||
&& !executeNumToNum<ColumnDecimal<Decimal32>>(pod, column_result, default_non_const, in_scale)
|
||||
&& !executeNumToNum<ColumnDecimal<Decimal64>>(pod, column_result, default_non_const, in_scale))
|
||||
if (!executeNumToString(pod, column_result, default_non_const, input_rows_count)
|
||||
&& !executeNumToNum<ColumnVector<UInt8>>(pod, column_result, default_non_const, in_scale, input_rows_count)
|
||||
&& !executeNumToNum<ColumnVector<UInt16>>(pod, column_result, default_non_const, in_scale, input_rows_count)
|
||||
&& !executeNumToNum<ColumnVector<UInt32>>(pod, column_result, default_non_const, in_scale, input_rows_count)
|
||||
&& !executeNumToNum<ColumnVector<UInt64>>(pod, column_result, default_non_const, in_scale, input_rows_count)
|
||||
&& !executeNumToNum<ColumnVector<Int8>>(pod, column_result, default_non_const, in_scale, input_rows_count)
|
||||
&& !executeNumToNum<ColumnVector<Int16>>(pod, column_result, default_non_const, in_scale, input_rows_count)
|
||||
&& !executeNumToNum<ColumnVector<Int32>>(pod, column_result, default_non_const, in_scale, input_rows_count)
|
||||
&& !executeNumToNum<ColumnVector<Int64>>(pod, column_result, default_non_const, in_scale, input_rows_count)
|
||||
&& !executeNumToNum<ColumnVector<Float32>>(pod, column_result, default_non_const, in_scale, input_rows_count)
|
||||
&& !executeNumToNum<ColumnVector<Float64>>(pod, column_result, default_non_const, in_scale, input_rows_count)
|
||||
&& !executeNumToNum<ColumnDecimal<Decimal32>>(pod, column_result, default_non_const, in_scale, input_rows_count)
|
||||
&& !executeNumToNum<ColumnDecimal<Decimal64>>(pod, column_result, default_non_const, in_scale, input_rows_count))
|
||||
{
|
||||
const size_t size = pod.size();
|
||||
const auto & table = *cache.table_num_to_idx;
|
||||
column_result.reserve(size);
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
column_result.reserve(input_rows_count);
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
const auto * it = table.find(bit_cast<UInt64>(pod[i]));
|
||||
if (it)
|
||||
@ -303,14 +300,13 @@ namespace
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
bool executeNumToString(const PaddedPODArray<T> & pod, IColumn & column_result, const ColumnPtr default_non_const) const
|
||||
bool executeNumToString(const PaddedPODArray<T> & pod, IColumn & column_result, const ColumnPtr default_non_const, size_t input_rows_count) const
|
||||
{
|
||||
auto * out = typeid_cast<ColumnString *>(&column_result);
|
||||
if (!out)
|
||||
return false;
|
||||
auto & out_offs = out->getOffsets();
|
||||
const size_t size = pod.size();
|
||||
out_offs.resize(size);
|
||||
out_offs.resize(input_rows_count);
|
||||
auto & out_chars = out->getChars();
|
||||
|
||||
const auto * to_col = assert_cast<const ColumnString *>(cache.to_column.get());
|
||||
@ -325,14 +321,14 @@ namespace
|
||||
const auto & def_offs = def->getOffsets();
|
||||
const auto * def_data = def_chars.data();
|
||||
auto def_size = def_offs[0];
|
||||
executeNumToStringHelper(table, pod, out_chars, out_offs, to_chars, to_offs, def_data, def_size, size);
|
||||
executeNumToStringHelper(table, pod, out_chars, out_offs, to_chars, to_offs, def_data, def_size, input_rows_count);
|
||||
}
|
||||
else
|
||||
{
|
||||
const auto * def = assert_cast<const ColumnString *>(default_non_const.get());
|
||||
const auto & def_chars = def->getChars();
|
||||
const auto & def_offs = def->getOffsets();
|
||||
executeNumToStringHelper(table, pod, out_chars, out_offs, to_chars, to_offs, def_chars, def_offs, size);
|
||||
executeNumToStringHelper(table, pod, out_chars, out_offs, to_chars, to_offs, def_chars, def_offs, input_rows_count);
|
||||
}
|
||||
return true;
|
||||
}
|
||||
@ -347,10 +343,10 @@ namespace
|
||||
const ColumnString::Offsets & to_offsets,
|
||||
const DefData & def_data,
|
||||
const DefOffs & def_offsets,
|
||||
const size_t size) const
|
||||
size_t input_rows_count) const
|
||||
{
|
||||
size_t out_cur_off = 0;
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
const char8_t * to = nullptr;
|
||||
size_t to_size = 0;
|
||||
@ -382,14 +378,13 @@ namespace
|
||||
|
||||
template <typename T, typename U>
|
||||
bool executeNumToNum(
|
||||
const PaddedPODArray<U> & pod, IColumn & column_result, const ColumnPtr default_non_const, const UInt32 in_scale) const
|
||||
const PaddedPODArray<U> & pod, IColumn & column_result, ColumnPtr default_non_const, UInt32 in_scale, size_t input_rows_count) const
|
||||
{
|
||||
auto * out = typeid_cast<T *>(&column_result);
|
||||
if (!out)
|
||||
return false;
|
||||
auto & out_pod = out->getData();
|
||||
const size_t size = pod.size();
|
||||
out_pod.resize(size);
|
||||
out_pod.resize(input_rows_count);
|
||||
UInt32 out_scale = 0;
|
||||
if constexpr (std::is_same_v<ColumnDecimal<Decimal32>, T> || std::is_same_v<ColumnDecimal<Decimal64>, T>)
|
||||
out_scale = out->getScale();
|
||||
@ -399,15 +394,15 @@ namespace
|
||||
if (cache.default_column)
|
||||
{
|
||||
const auto const_def = assert_cast<const T *>(cache.default_column.get())->getData()[0];
|
||||
executeNumToNumHelper(table, pod, out_pod, to_pod, const_def, size, out_scale, out_scale);
|
||||
executeNumToNumHelper(table, pod, out_pod, to_pod, const_def, input_rows_count, out_scale, out_scale);
|
||||
}
|
||||
else if (default_non_const)
|
||||
{
|
||||
const auto & nconst_def = assert_cast<const T *>(default_non_const.get())->getData();
|
||||
executeNumToNumHelper(table, pod, out_pod, to_pod, nconst_def, size, out_scale, out_scale);
|
||||
executeNumToNumHelper(table, pod, out_pod, to_pod, nconst_def, input_rows_count, out_scale, out_scale);
|
||||
}
|
||||
else
|
||||
executeNumToNumHelper(table, pod, out_pod, to_pod, pod, size, out_scale, in_scale);
|
||||
executeNumToNumHelper(table, pod, out_pod, to_pod, pod, input_rows_count, out_scale, in_scale);
|
||||
return true;
|
||||
}
|
||||
|
||||
@ -418,11 +413,11 @@ namespace
|
||||
PaddedPODArray<Out> & out_pod,
|
||||
const PaddedPODArray<Out> & to_pod,
|
||||
const Def & def,
|
||||
const size_t size,
|
||||
const UInt32 out_scale,
|
||||
const UInt32 def_scale) const
|
||||
size_t input_rows_count,
|
||||
UInt32 out_scale,
|
||||
UInt32 def_scale) const
|
||||
{
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
const auto * it = table.find(bit_cast<UInt64>(pod[i]));
|
||||
if (it)
|
||||
@ -450,7 +445,7 @@ namespace
|
||||
}
|
||||
}
|
||||
|
||||
bool executeString(const IColumn * in_untyped, IColumn & column_result, const ColumnPtr default_non_const, const IColumn & in_casted) const
|
||||
bool executeString(const IColumn * in_untyped, IColumn & column_result, const ColumnPtr default_non_const, const IColumn & in_casted, size_t input_rows_count) const
|
||||
{
|
||||
const auto * const in = checkAndGetColumn<ColumnString>(in_untyped);
|
||||
if (!in)
|
||||
@ -458,19 +453,19 @@ namespace
|
||||
const auto & data = in->getChars();
|
||||
const auto & offsets = in->getOffsets();
|
||||
|
||||
if (!executeStringToString(data, offsets, column_result, default_non_const)
|
||||
&& !executeStringToNum<ColumnVector<UInt8>>(data, offsets, column_result, default_non_const)
|
||||
&& !executeStringToNum<ColumnVector<UInt16>>(data, offsets, column_result, default_non_const)
|
||||
&& !executeStringToNum<ColumnVector<UInt32>>(data, offsets, column_result, default_non_const)
|
||||
&& !executeStringToNum<ColumnVector<UInt64>>(data, offsets, column_result, default_non_const)
|
||||
&& !executeStringToNum<ColumnVector<Int8>>(data, offsets, column_result, default_non_const)
|
||||
&& !executeStringToNum<ColumnVector<Int16>>(data, offsets, column_result, default_non_const)
|
||||
&& !executeStringToNum<ColumnVector<Int32>>(data, offsets, column_result, default_non_const)
|
||||
&& !executeStringToNum<ColumnVector<Int64>>(data, offsets, column_result, default_non_const)
|
||||
&& !executeStringToNum<ColumnVector<Float32>>(data, offsets, column_result, default_non_const)
|
||||
&& !executeStringToNum<ColumnVector<Float64>>(data, offsets, column_result, default_non_const)
|
||||
&& !executeStringToNum<ColumnDecimal<Decimal32>>(data, offsets, column_result, default_non_const)
|
||||
&& !executeStringToNum<ColumnDecimal<Decimal64>>(data, offsets, column_result, default_non_const))
|
||||
if (!executeStringToString(data, offsets, column_result, default_non_const, input_rows_count)
|
||||
&& !executeStringToNum<ColumnVector<UInt8>>(data, offsets, column_result, default_non_const, input_rows_count)
|
||||
&& !executeStringToNum<ColumnVector<UInt16>>(data, offsets, column_result, default_non_const, input_rows_count)
|
||||
&& !executeStringToNum<ColumnVector<UInt32>>(data, offsets, column_result, default_non_const, input_rows_count)
|
||||
&& !executeStringToNum<ColumnVector<UInt64>>(data, offsets, column_result, default_non_const, input_rows_count)
|
||||
&& !executeStringToNum<ColumnVector<Int8>>(data, offsets, column_result, default_non_const, input_rows_count)
|
||||
&& !executeStringToNum<ColumnVector<Int16>>(data, offsets, column_result, default_non_const, input_rows_count)
|
||||
&& !executeStringToNum<ColumnVector<Int32>>(data, offsets, column_result, default_non_const, input_rows_count)
|
||||
&& !executeStringToNum<ColumnVector<Int64>>(data, offsets, column_result, default_non_const, input_rows_count)
|
||||
&& !executeStringToNum<ColumnVector<Float32>>(data, offsets, column_result, default_non_const, input_rows_count)
|
||||
&& !executeStringToNum<ColumnVector<Float64>>(data, offsets, column_result, default_non_const, input_rows_count)
|
||||
&& !executeStringToNum<ColumnDecimal<Decimal32>>(data, offsets, column_result, default_non_const, input_rows_count)
|
||||
&& !executeStringToNum<ColumnDecimal<Decimal64>>(data, offsets, column_result, default_non_const, input_rows_count))
|
||||
{
|
||||
const size_t size = offsets.size();
|
||||
const auto & table = *cache.table_string_to_idx;
|
||||
@ -497,14 +492,14 @@ namespace
|
||||
const ColumnString::Chars & data,
|
||||
const ColumnString::Offsets & offsets,
|
||||
IColumn & column_result,
|
||||
const ColumnPtr default_non_const) const
|
||||
const ColumnPtr default_non_const,
|
||||
size_t input_rows_count) const
|
||||
{
|
||||
auto * out = typeid_cast<ColumnString *>(&column_result);
|
||||
if (!out)
|
||||
return false;
|
||||
auto & out_offs = out->getOffsets();
|
||||
const size_t size = offsets.size();
|
||||
out_offs.resize(size);
|
||||
out_offs.resize(input_rows_count);
|
||||
auto & out_chars = out->getChars();
|
||||
|
||||
const auto * to_col = assert_cast<const ColumnString *>(cache.to_column.get());
|
||||
@ -519,18 +514,18 @@ namespace
|
||||
const auto & def_offs = def->getOffsets();
|
||||
const auto * def_data = def_chars.data();
|
||||
auto def_size = def_offs[0];
|
||||
executeStringToStringHelper(table, data, offsets, out_chars, out_offs, to_chars, to_offs, def_data, def_size, size);
|
||||
executeStringToStringHelper(table, data, offsets, out_chars, out_offs, to_chars, to_offs, def_data, def_size, input_rows_count);
|
||||
}
|
||||
else if (default_non_const)
|
||||
{
|
||||
const auto * def = assert_cast<const ColumnString *>(default_non_const.get());
|
||||
const auto & def_chars = def->getChars();
|
||||
const auto & def_offs = def->getOffsets();
|
||||
executeStringToStringHelper(table, data, offsets, out_chars, out_offs, to_chars, to_offs, def_chars, def_offs, size);
|
||||
executeStringToStringHelper(table, data, offsets, out_chars, out_offs, to_chars, to_offs, def_chars, def_offs, input_rows_count);
|
||||
}
|
||||
else
|
||||
{
|
||||
executeStringToStringHelper(table, data, offsets, out_chars, out_offs, to_chars, to_offs, data, offsets, size);
|
||||
executeStringToStringHelper(table, data, offsets, out_chars, out_offs, to_chars, to_offs, data, offsets, input_rows_count);
|
||||
}
|
||||
return true;
|
||||
}
|
||||
@ -546,11 +541,11 @@ namespace
|
||||
const ColumnString::Offsets & to_offsets,
|
||||
const DefData & def_data,
|
||||
const DefOffs & def_offsets,
|
||||
const size_t size) const
|
||||
size_t input_rows_count) const
|
||||
{
|
||||
ColumnString::Offset current_offset = 0;
|
||||
size_t out_cur_off = 0;
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
const char8_t * to = nullptr;
|
||||
size_t to_size = 0;
|
||||
@ -587,26 +582,26 @@ namespace
|
||||
const ColumnString::Chars & data,
|
||||
const ColumnString::Offsets & offsets,
|
||||
IColumn & column_result,
|
||||
const ColumnPtr default_non_const) const
|
||||
const ColumnPtr default_non_const,
|
||||
size_t input_rows_count) const
|
||||
{
|
||||
auto * out = typeid_cast<T *>(&column_result);
|
||||
if (!out)
|
||||
return false;
|
||||
auto & out_pod = out->getData();
|
||||
const size_t size = offsets.size();
|
||||
out_pod.resize(size);
|
||||
out_pod.resize(input_rows_count);
|
||||
|
||||
const auto & to_pod = assert_cast<const T *>(cache.to_column.get())->getData();
|
||||
const auto & table = *cache.table_string_to_idx;
|
||||
if (cache.default_column)
|
||||
{
|
||||
const auto const_def = assert_cast<const T *>(cache.default_column.get())->getData()[0];
|
||||
executeStringToNumHelper(table, data, offsets, out_pod, to_pod, const_def, size);
|
||||
executeStringToNumHelper(table, data, offsets, out_pod, to_pod, const_def, input_rows_count);
|
||||
}
|
||||
else
|
||||
{
|
||||
const auto & nconst_def = assert_cast<const T *>(default_non_const.get())->getData();
|
||||
executeStringToNumHelper(table, data, offsets, out_pod, to_pod, nconst_def, size);
|
||||
executeStringToNumHelper(table, data, offsets, out_pod, to_pod, nconst_def, input_rows_count);
|
||||
}
|
||||
return true;
|
||||
}
|
||||
@ -619,10 +614,10 @@ namespace
|
||||
PaddedPODArray<Out> & out_pod,
|
||||
const PaddedPODArray<Out> & to_pod,
|
||||
const Def & def,
|
||||
const size_t size) const
|
||||
size_t input_rows_count) const
|
||||
{
|
||||
ColumnString::Offset current_offset = 0;
|
||||
for (size_t i = 0; i < size; ++i)
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
const StringRef ref{&data[current_offset], offsets[i] - current_offset - 1};
|
||||
current_offset = offsets[i];
|
||||
|
||||
@ -52,7 +52,8 @@ struct TranslateImpl
|
||||
const std::string & map_from,
|
||||
const std::string & map_to,
|
||||
ColumnString::Chars & res_data,
|
||||
ColumnString::Offsets & res_offsets)
|
||||
ColumnString::Offsets & res_offsets,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
Map map;
|
||||
fillMapWithValues(map, map_from, map_to);
|
||||
@ -62,7 +63,7 @@ struct TranslateImpl
|
||||
|
||||
UInt8 * dst = res_data.data();
|
||||
|
||||
for (UInt64 i = 0; i < offsets.size(); ++i)
|
||||
for (UInt64 i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
const UInt8 * src = data.data() + offsets[i - 1];
|
||||
const UInt8 * src_end = data.data() + offsets[i] - 1;
|
||||
@ -175,19 +176,20 @@ struct TranslateUTF8Impl
|
||||
const std::string & map_from,
|
||||
const std::string & map_to,
|
||||
ColumnString::Chars & res_data,
|
||||
ColumnString::Offsets & res_offsets)
|
||||
ColumnString::Offsets & res_offsets,
|
||||
size_t input_rows_count)
|
||||
{
|
||||
MapASCII map_ascii;
|
||||
MapUTF8 map;
|
||||
fillMapWithValues(map_ascii, map, map_from, map_to);
|
||||
|
||||
res_data.resize(data.size());
|
||||
res_offsets.resize(offsets.size());
|
||||
res_offsets.resize(input_rows_count);
|
||||
|
||||
UInt8 * dst = res_data.data();
|
||||
UInt64 data_size = 0;
|
||||
|
||||
for (UInt64 i = 0; i < offsets.size(); ++i)
|
||||
for (UInt64 i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
const UInt8 * src = data.data() + offsets[i - 1];
|
||||
const UInt8 * src_end = data.data() + offsets[i] - 1;
|
||||
@ -311,7 +313,7 @@ public:
|
||||
}
|
||||
}
|
||||
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/) const override
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
||||
{
|
||||
const ColumnPtr column_src = arguments[0].column;
|
||||
const ColumnPtr column_map_from = arguments[1].column;
|
||||
@ -330,7 +332,7 @@ public:
|
||||
if (const ColumnString * col = checkAndGetColumn<ColumnString>(column_src.get()))
|
||||
{
|
||||
auto col_res = ColumnString::create();
|
||||
Impl::vector(col->getChars(), col->getOffsets(), map_from, map_to, col_res->getChars(), col_res->getOffsets());
|
||||
Impl::vector(col->getChars(), col->getOffsets(), map_from, map_to, col_res->getChars(), col_res->getOffsets(), input_rows_count);
|
||||
return col_res;
|
||||
}
|
||||
else if (const ColumnFixedString * col_fixed = checkAndGetColumn<ColumnFixedString>(column_src.get()))
|
||||
|
||||
@ -99,16 +99,16 @@ public:
|
||||
return std::make_shared<DataTypeArray>(item_data_type);
|
||||
}
|
||||
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/) const override
|
||||
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
||||
{
|
||||
const IColumn * tuple_col = arguments[0].column.get();
|
||||
const DataTypeTuple * tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
|
||||
const auto * tuple_col_concrete = assert_cast<const ColumnTuple*>(tuple_col);
|
||||
const auto * tuple_col_concrete = assert_cast<const ColumnTuple *>(tuple_col);
|
||||
|
||||
auto keys = ColumnString::create();
|
||||
MutableColumnPtr values = tuple_col_concrete->getColumn(0).cloneEmpty();
|
||||
auto offsets = ColumnVector<UInt64>::create();
|
||||
for (size_t row = 0; row < tuple_col_concrete->size(); ++row)
|
||||
for (size_t row = 0; row < input_rows_count; ++row)
|
||||
{
|
||||
for (size_t col = 0; col < tuple_col_concrete->tupleSize(); ++col)
|
||||
{
|
||||
|
||||
@ -492,48 +492,6 @@ TEST_P(ArchiveReaderAndWriterTest, ManyFilesOnDisk)
|
||||
}
|
||||
}
|
||||
|
||||
TEST_P(ArchiveReaderAndWriterTest, LargeFile)
|
||||
{
|
||||
/// Make an archive.
|
||||
std::string_view contents = "The contents of a.txt\n";
|
||||
int times = 10000000;
|
||||
{
|
||||
auto writer = createArchiveWriter(getPathToArchive());
|
||||
{
|
||||
auto out = writer->writeFile("a.txt", times * contents.size());
|
||||
for (int i = 0; i < times; i++)
|
||||
writeString(contents, *out);
|
||||
out->finalize();
|
||||
}
|
||||
writer->finalize();
|
||||
}
|
||||
|
||||
/// Read the archive.
|
||||
auto reader = createArchiveReader(getPathToArchive());
|
||||
|
||||
ASSERT_TRUE(reader->fileExists("a.txt"));
|
||||
|
||||
auto file_info = reader->getFileInfo("a.txt");
|
||||
EXPECT_EQ(file_info.uncompressed_size, contents.size() * times);
|
||||
EXPECT_GT(file_info.compressed_size, 0);
|
||||
|
||||
{
|
||||
auto in = reader->readFile("a.txt", /*throw_on_not_found=*/true);
|
||||
for (int i = 0; i < times; i++)
|
||||
ASSERT_TRUE(checkString(String(contents), *in));
|
||||
}
|
||||
|
||||
{
|
||||
/// Use an enumerator.
|
||||
auto enumerator = reader->firstFile();
|
||||
ASSERT_NE(enumerator, nullptr);
|
||||
EXPECT_EQ(enumerator->getFileName(), "a.txt");
|
||||
EXPECT_EQ(enumerator->getFileInfo().uncompressed_size, contents.size() * times);
|
||||
EXPECT_GT(enumerator->getFileInfo().compressed_size, 0);
|
||||
EXPECT_FALSE(enumerator->nextFile());
|
||||
}
|
||||
}
|
||||
|
||||
TEST(TarArchiveReaderTest, FileExists)
|
||||
{
|
||||
String archive_path = "archive.tar";
|
||||
|
||||
@ -399,10 +399,9 @@ BlockIO InterpreterDropQuery::executeToDatabaseImpl(const ASTDropQuery & query,
|
||||
if (query.if_empty)
|
||||
throw Exception(ErrorCodes::NOT_IMPLEMENTED, "DROP IF EMPTY is not implemented for databases");
|
||||
|
||||
if (database->hasReplicationThread())
|
||||
if (!truncate && database->hasReplicationThread())
|
||||
database->stopReplication();
|
||||
|
||||
|
||||
if (database->shouldBeEmptyOnDetach())
|
||||
{
|
||||
/// Cancel restarting replicas in that database, wait for remaining RESTART queries to finish.
|
||||
|
||||
@ -356,7 +356,7 @@ Field convertFieldToTypeImpl(const Field & src, const IDataType & type, const ID
|
||||
for (size_t i = 0; i < src_arr_size; ++i)
|
||||
{
|
||||
res[i] = convertFieldToType(src_arr[i], element_type);
|
||||
if (res[i].isNull() && !element_type.isNullable())
|
||||
if (res[i].isNull() && !canContainNull(element_type))
|
||||
{
|
||||
// See the comment for Tuples below.
|
||||
have_unconvertible_element = true;
|
||||
@ -384,25 +384,25 @@ Field convertFieldToTypeImpl(const Field & src, const IDataType & type, const ID
|
||||
{
|
||||
const auto & element_type = *(type_tuple->getElements()[i]);
|
||||
res[i] = convertFieldToType(src_tuple[i], element_type);
|
||||
if (!res[i].isNull() || element_type.isNullable())
|
||||
continue;
|
||||
|
||||
/*
|
||||
* Either the source element was Null, or the conversion did not
|
||||
* succeed, because the source and the requested types of the
|
||||
* element are compatible, but the value is not convertible
|
||||
* (e.g. trying to convert -1 from Int8 to UInt8). In these
|
||||
* cases, consider the whole tuple also compatible but not
|
||||
* convertible. According to the specification of this function,
|
||||
* we must return Null in this case.
|
||||
*
|
||||
* The following elements might be not even compatible, so it
|
||||
* makes sense to check them to detect user errors. Remember
|
||||
* that there is an unconvertible element, and try to process
|
||||
* the remaining ones. The convertFieldToType for each element
|
||||
* will throw if it detects incompatibility.
|
||||
*/
|
||||
have_unconvertible_element = true;
|
||||
if (res[i].isNull() && !canContainNull(element_type))
|
||||
{
|
||||
/*
|
||||
* Either the source element was Null, or the conversion did not
|
||||
* succeed, because the source and the requested types of the
|
||||
* element are compatible, but the value is not convertible
|
||||
* (e.g. trying to convert -1 from Int8 to UInt8). In these
|
||||
* cases, consider the whole tuple also compatible but not
|
||||
* convertible. According to the specification of this function,
|
||||
* we must return Null in this case.
|
||||
*
|
||||
* The following elements might be not even compatible, so it
|
||||
* makes sense to check them to detect user errors. Remember
|
||||
* that there is an unconvertible element, and try to process
|
||||
* the remaining ones. The convertFieldToType for each element
|
||||
* will throw if it detects incompatibility.
|
||||
*/
|
||||
have_unconvertible_element = true;
|
||||
}
|
||||
}
|
||||
|
||||
return have_unconvertible_element ? Field(Null()) : Field(res);
|
||||
@ -433,11 +433,11 @@ Field convertFieldToTypeImpl(const Field & src, const IDataType & type, const ID
|
||||
|
||||
updated_entry[0] = convertFieldToType(key, key_type);
|
||||
|
||||
if (updated_entry[0].isNull() && !key_type.isNullable())
|
||||
if (updated_entry[0].isNull() && !canContainNull(key_type))
|
||||
have_unconvertible_element = true;
|
||||
|
||||
updated_entry[1] = convertFieldToType(value, value_type);
|
||||
if (updated_entry[1].isNull() && !value_type.isNullable())
|
||||
if (updated_entry[1].isNull() && !canContainNull(value_type))
|
||||
have_unconvertible_element = true;
|
||||
|
||||
res[i] = updated_entry;
|
||||
@ -592,7 +592,7 @@ Field convertFieldToType(const Field & from_value, const IDataType & to_type, co
|
||||
Field convertFieldToTypeOrThrow(const Field & from_value, const IDataType & to_type, const IDataType * from_type_hint)
|
||||
{
|
||||
bool is_null = from_value.isNull();
|
||||
if (is_null && !to_type.isNullable() && !to_type.isLowCardinalityNullable())
|
||||
if (is_null && !canContainNull(to_type))
|
||||
throw Exception(ErrorCodes::TYPE_MISMATCH, "Cannot convert NULL to {}", to_type.getName());
|
||||
|
||||
Field converted = convertFieldToType(from_value, to_type, from_type_hint);
|
||||
|
||||
@ -1207,6 +1207,7 @@ bool ParserCreateWindowViewQuery::parseImpl(Pos & pos, ASTPtr & node, Expected &
|
||||
if (!select_p.parse(pos, select, expected))
|
||||
return false;
|
||||
|
||||
auto comment = parseComment(pos, expected);
|
||||
|
||||
auto query = std::make_shared<ASTCreateQuery>();
|
||||
node = query;
|
||||
@ -1225,6 +1226,8 @@ bool ParserCreateWindowViewQuery::parseImpl(Pos & pos, ASTPtr & node, Expected &
|
||||
query->children.push_back(query->database);
|
||||
if (query->table)
|
||||
query->children.push_back(query->table);
|
||||
if (comment)
|
||||
query->set(query->comment, comment);
|
||||
|
||||
query->set(query->columns_list, columns_list);
|
||||
|
||||
|
||||
@ -418,8 +418,11 @@ namespace
|
||||
}
|
||||
|
||||
StorageKafka::StorageKafka(
|
||||
const StorageID & table_id_, ContextPtr context_,
|
||||
const ColumnsDescription & columns_, std::unique_ptr<KafkaSettings> kafka_settings_,
|
||||
const StorageID & table_id_,
|
||||
ContextPtr context_,
|
||||
const ColumnsDescription & columns_,
|
||||
const String & comment,
|
||||
std::unique_ptr<KafkaSettings> kafka_settings_,
|
||||
const String & collection_name_)
|
||||
: IStorage(table_id_)
|
||||
, WithContext(context_->getGlobalContext())
|
||||
@ -451,6 +454,7 @@ StorageKafka::StorageKafka(
|
||||
|
||||
StorageInMemoryMetadata storage_metadata;
|
||||
storage_metadata.setColumns(columns_);
|
||||
storage_metadata.setComment(comment);
|
||||
setInMemoryMetadata(storage_metadata);
|
||||
setVirtuals(createVirtuals(kafka_settings->kafka_handle_error_mode));
|
||||
|
||||
@ -1317,7 +1321,7 @@ void registerStorageKafka(StorageFactory & factory)
|
||||
"See https://clickhouse.com/docs/en/engines/table-engines/integrations/kafka/#configuration");
|
||||
}
|
||||
|
||||
return std::make_shared<StorageKafka>(args.table_id, args.getContext(), args.columns, std::move(kafka_settings), collection_name);
|
||||
return std::make_shared<StorageKafka>(args.table_id, args.getContext(), args.columns, args.comment, std::move(kafka_settings), collection_name);
|
||||
};
|
||||
|
||||
factory.registerStorage("Kafka", creator_fn, StorageFactory::StorageFeatures{ .supports_settings = true, });
|
||||
|
||||
@ -40,6 +40,7 @@ public:
|
||||
const StorageID & table_id_,
|
||||
ContextPtr context_,
|
||||
const ColumnsDescription & columns_,
|
||||
const String & comment,
|
||||
std::unique_ptr<KafkaSettings> kafka_settings_,
|
||||
const String & collection_name_);
|
||||
|
||||
|
||||
@ -49,6 +49,7 @@ StorageNATS::StorageNATS(
|
||||
const StorageID & table_id_,
|
||||
ContextPtr context_,
|
||||
const ColumnsDescription & columns_,
|
||||
const String & comment,
|
||||
std::unique_ptr<NATSSettings> nats_settings_,
|
||||
LoadingStrictnessLevel mode)
|
||||
: IStorage(table_id_)
|
||||
@ -87,6 +88,7 @@ StorageNATS::StorageNATS(
|
||||
|
||||
StorageInMemoryMetadata storage_metadata;
|
||||
storage_metadata.setColumns(columns_);
|
||||
storage_metadata.setComment(comment);
|
||||
setInMemoryMetadata(storage_metadata);
|
||||
setVirtuals(createVirtuals(nats_settings->nats_handle_error_mode));
|
||||
|
||||
@ -760,7 +762,7 @@ void registerStorageNATS(StorageFactory & factory)
|
||||
if (!nats_settings->nats_subjects.changed)
|
||||
throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH, "You must specify `nats_subjects` setting");
|
||||
|
||||
return std::make_shared<StorageNATS>(args.table_id, args.getContext(), args.columns, std::move(nats_settings), args.mode);
|
||||
return std::make_shared<StorageNATS>(args.table_id, args.getContext(), args.columns, args.comment, std::move(nats_settings), args.mode);
|
||||
};
|
||||
|
||||
factory.registerStorage("NATS", creator_fn, StorageFactory::StorageFeatures{ .supports_settings = true, });
|
||||
|
||||
@ -23,6 +23,7 @@ public:
|
||||
const StorageID & table_id_,
|
||||
ContextPtr context_,
|
||||
const ColumnsDescription & columns_,
|
||||
const String & comment,
|
||||
std::unique_ptr<NATSSettings> nats_settings_,
|
||||
LoadingStrictnessLevel mode);
|
||||
|
||||
|
||||
@ -571,6 +571,7 @@ void registerStorageMaterializedPostgreSQL(StorageFactory & factory)
|
||||
StorageInMemoryMetadata metadata;
|
||||
metadata.setColumns(args.columns);
|
||||
metadata.setConstraints(args.constraints);
|
||||
metadata.setComment(args.comment);
|
||||
|
||||
if (args.mode <= LoadingStrictnessLevel::CREATE
|
||||
&& !args.getLocalContext()->getSettingsRef().allow_experimental_materialized_postgresql_table)
|
||||
|
||||
@ -70,6 +70,7 @@ StorageRabbitMQ::StorageRabbitMQ(
|
||||
const StorageID & table_id_,
|
||||
ContextPtr context_,
|
||||
const ColumnsDescription & columns_,
|
||||
const String & comment,
|
||||
std::unique_ptr<RabbitMQSettings> rabbitmq_settings_,
|
||||
LoadingStrictnessLevel mode)
|
||||
: IStorage(table_id_)
|
||||
@ -145,6 +146,7 @@ StorageRabbitMQ::StorageRabbitMQ(
|
||||
|
||||
StorageInMemoryMetadata storage_metadata;
|
||||
storage_metadata.setColumns(columns_);
|
||||
storage_metadata.setComment(comment);
|
||||
setInMemoryMetadata(storage_metadata);
|
||||
setVirtuals(createVirtuals(rabbitmq_settings->rabbitmq_handle_error_mode));
|
||||
|
||||
@ -1288,7 +1290,7 @@ void registerStorageRabbitMQ(StorageFactory & factory)
|
||||
if (!rabbitmq_settings->rabbitmq_format.changed)
|
||||
throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH, "You must specify `rabbitmq_format` setting");
|
||||
|
||||
return std::make_shared<StorageRabbitMQ>(args.table_id, args.getContext(), args.columns, std::move(rabbitmq_settings), args.mode);
|
||||
return std::make_shared<StorageRabbitMQ>(args.table_id, args.getContext(), args.columns, args.comment, std::move(rabbitmq_settings), args.mode);
|
||||
};
|
||||
|
||||
factory.registerStorage("RabbitMQ", creator_fn, StorageFactory::StorageFeatures{ .supports_settings = true, });
|
||||
|
||||
@ -26,6 +26,7 @@ public:
|
||||
const StorageID & table_id_,
|
||||
ContextPtr context_,
|
||||
const ColumnsDescription & columns_,
|
||||
const String & comment,
|
||||
std::unique_ptr<RabbitMQSettings> rabbitmq_settings_,
|
||||
LoadingStrictnessLevel mode);
|
||||
|
||||
|
||||
@ -691,6 +691,7 @@ static StoragePtr create(const StorageFactory::Arguments & args)
|
||||
StorageInMemoryMetadata metadata;
|
||||
metadata.setColumns(args.columns);
|
||||
metadata.setConstraints(args.constraints);
|
||||
metadata.setComment(args.comment);
|
||||
|
||||
if (!args.storage_def->primary_key)
|
||||
throw Exception(ErrorCodes::BAD_ARGUMENTS, "StorageEmbeddedRocksDB must require one column in primary key");
|
||||
|
||||
@ -77,7 +77,8 @@ StorageExecutable::StorageExecutable(
|
||||
const ExecutableSettings & settings_,
|
||||
const std::vector<ASTPtr> & input_queries_,
|
||||
const ColumnsDescription & columns,
|
||||
const ConstraintsDescription & constraints)
|
||||
const ConstraintsDescription & constraints,
|
||||
const String & comment)
|
||||
: IStorage(table_id_)
|
||||
, settings(settings_)
|
||||
, input_queries(input_queries_)
|
||||
@ -86,6 +87,7 @@ StorageExecutable::StorageExecutable(
|
||||
StorageInMemoryMetadata storage_metadata;
|
||||
storage_metadata.setColumns(columns);
|
||||
storage_metadata.setConstraints(constraints);
|
||||
storage_metadata.setComment(comment);
|
||||
setInMemoryMetadata(storage_metadata);
|
||||
|
||||
ShellCommandSourceCoordinator::Configuration configuration
|
||||
@ -237,7 +239,7 @@ void registerStorageExecutable(StorageFactory & factory)
|
||||
settings.loadFromQuery(*args.storage_def);
|
||||
|
||||
auto global_context = args.getContext()->getGlobalContext();
|
||||
return std::make_shared<StorageExecutable>(args.table_id, format, settings, input_queries, columns, constraints);
|
||||
return std::make_shared<StorageExecutable>(args.table_id, format, settings, input_queries, columns, constraints, args.comment);
|
||||
};
|
||||
|
||||
StorageFactory::StorageFeatures storage_features;
|
||||
@ -255,4 +257,3 @@ void registerStorageExecutable(StorageFactory & factory)
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
@ -22,7 +22,8 @@ public:
|
||||
const ExecutableSettings & settings,
|
||||
const std::vector<ASTPtr> & input_queries,
|
||||
const ColumnsDescription & columns,
|
||||
const ConstraintsDescription & constraints);
|
||||
const ConstraintsDescription & constraints,
|
||||
const String & comment);
|
||||
|
||||
String getName() const override
|
||||
{
|
||||
|
||||
@ -1289,6 +1289,7 @@ StoragePtr create(const StorageFactory::Arguments & args)
|
||||
StorageInMemoryMetadata metadata;
|
||||
metadata.setColumns(args.columns);
|
||||
metadata.setConstraints(args.constraints);
|
||||
metadata.setComment(args.comment);
|
||||
|
||||
if (!args.storage_def->primary_key)
|
||||
throw Exception(ErrorCodes::BAD_ARGUMENTS, "StorageKeeperMap requires one column in primary key");
|
||||
|
||||
@ -50,6 +50,7 @@ StorageSQLite::StorageSQLite(
|
||||
const String & remote_table_name_,
|
||||
const ColumnsDescription & columns_,
|
||||
const ConstraintsDescription & constraints_,
|
||||
const String & comment,
|
||||
ContextPtr context_)
|
||||
: IStorage(table_id_)
|
||||
, WithContext(context_->getGlobalContext())
|
||||
@ -71,6 +72,7 @@ StorageSQLite::StorageSQLite(
|
||||
|
||||
storage_metadata.setConstraints(constraints_);
|
||||
setInMemoryMetadata(storage_metadata);
|
||||
storage_metadata.setComment(comment);
|
||||
}
|
||||
|
||||
|
||||
@ -211,7 +213,7 @@ void registerStorageSQLite(StorageFactory & factory)
|
||||
auto sqlite_db = openSQLiteDB(database_path, args.getContext(), /* throw_on_error */ args.mode <= LoadingStrictnessLevel::CREATE);
|
||||
|
||||
return std::make_shared<StorageSQLite>(args.table_id, sqlite_db, database_path,
|
||||
table_name, args.columns, args.constraints, args.getContext());
|
||||
table_name, args.columns, args.constraints, args.comment, args.getContext());
|
||||
},
|
||||
{
|
||||
.supports_schema_inference = true,
|
||||
|
||||
@ -27,6 +27,7 @@ public:
|
||||
const String & remote_table_name_,
|
||||
const ColumnsDescription & columns_,
|
||||
const ConstraintsDescription & constraints_,
|
||||
const String & comment,
|
||||
ContextPtr context_);
|
||||
|
||||
std::string getName() const override { return "SQLite"; }
|
||||
|
||||
@ -1188,6 +1188,7 @@ StorageWindowView::StorageWindowView(
|
||||
ContextPtr context_,
|
||||
const ASTCreateQuery & query,
|
||||
const ColumnsDescription & columns_,
|
||||
const String & comment,
|
||||
LoadingStrictnessLevel mode)
|
||||
: IStorage(table_id_)
|
||||
, WithContext(context_->getGlobalContext())
|
||||
@ -1206,6 +1207,7 @@ StorageWindowView::StorageWindowView(
|
||||
|
||||
StorageInMemoryMetadata storage_metadata;
|
||||
storage_metadata.setColumns(columns_);
|
||||
storage_metadata.setComment(comment);
|
||||
setInMemoryMetadata(storage_metadata);
|
||||
|
||||
/// If the target table is not set, use inner target table
|
||||
@ -1764,7 +1766,7 @@ void registerStorageWindowView(StorageFactory & factory)
|
||||
"Experimental WINDOW VIEW feature "
|
||||
"is not enabled (the setting 'allow_experimental_window_view')");
|
||||
|
||||
return std::make_shared<StorageWindowView>(args.table_id, args.getLocalContext(), args.query, args.columns, args.mode);
|
||||
return std::make_shared<StorageWindowView>(args.table_id, args.getLocalContext(), args.query, args.columns, args.comment, args.mode);
|
||||
});
|
||||
}
|
||||
|
||||
|
||||
@ -111,6 +111,7 @@ public:
|
||||
ContextPtr context_,
|
||||
const ASTCreateQuery & query,
|
||||
const ColumnsDescription & columns_,
|
||||
const String & comment,
|
||||
LoadingStrictnessLevel mode);
|
||||
|
||||
String getName() const override { return "WindowView"; }
|
||||
|
||||
@ -170,7 +170,14 @@ StoragePtr TableFunctionExecutable::executeImpl(const ASTPtr & /*ast_function*/,
|
||||
if (settings_query != nullptr)
|
||||
settings.applyChanges(settings_query->as<ASTSetQuery>()->changes);
|
||||
|
||||
auto storage = std::make_shared<StorageExecutable>(storage_id, format, settings, input_queries, getActualTableStructure(context, is_insert_query), ConstraintsDescription{});
|
||||
auto storage = std::make_shared<StorageExecutable>(
|
||||
storage_id,
|
||||
format,
|
||||
settings,
|
||||
input_queries,
|
||||
getActualTableStructure(context, is_insert_query),
|
||||
ConstraintsDescription{},
|
||||
/* comment = */ "");
|
||||
storage->startup();
|
||||
return storage;
|
||||
}
|
||||
|
||||
@ -57,7 +57,7 @@ StoragePtr TableFunctionSQLite::executeImpl(const ASTPtr & /*ast_function*/,
|
||||
sqlite_db,
|
||||
database_path,
|
||||
remote_table_name,
|
||||
cached_columns, ConstraintsDescription{}, context);
|
||||
cached_columns, ConstraintsDescription{}, /* comment = */ "", context);
|
||||
|
||||
storage->startup();
|
||||
return storage;
|
||||
|
||||
@ -433,6 +433,7 @@ def test_broken_ignored_replicated(cluster):
|
||||
check(node, table_name, 1)
|
||||
|
||||
create_table(node, table_name2, 2, table_name)
|
||||
node.query(f"system sync replica {table_name}")
|
||||
check(node, table_name2, 1)
|
||||
|
||||
break_projection(node, table_name, "proj1", "all_0_0_0", "data")
|
||||
|
||||
@ -1,4 +1,5 @@
|
||||
#!/usr/bin/env bash
|
||||
# Tags: no-random-settings, no-parallel
|
||||
|
||||
CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
# shellcheck source=../shell_config.sh
|
||||
|
||||
@ -1,4 +1,5 @@
|
||||
#!/usr/bin/env bash
|
||||
# Tags: no-random-settings, no-parallel
|
||||
|
||||
CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
# shellcheck source=../shell_config.sh
|
||||
|
||||
@ -1,4 +1,5 @@
|
||||
#!/usr/bin/env bash
|
||||
# Tags: no-random-settings, no-parallel
|
||||
|
||||
CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
# shellcheck source=../shell_config.sh
|
||||
|
||||
@ -1,4 +1,5 @@
|
||||
#!/usr/bin/env bash
|
||||
# Tags: no-random-settings, no-parallel
|
||||
|
||||
CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
# shellcheck source=../shell_config.sh
|
||||
|
||||
@ -1,4 +1,5 @@
|
||||
#!/usr/bin/env bash
|
||||
# Tags: no-random-settings, no-parallel
|
||||
|
||||
CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
# shellcheck source=../shell_config.sh
|
||||
|
||||
@ -5,59 +5,72 @@ CUR_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
# shellcheck source=../shell_config.sh
|
||||
. "$CUR_DIR"/../shell_config.sh
|
||||
|
||||
function elapsed_sec()
|
||||
set -e
|
||||
|
||||
function wait_until()
|
||||
{
|
||||
local expr=$1 && shift
|
||||
local start end
|
||||
start=$(date +%s.%N)
|
||||
while ! eval "$expr"; do
|
||||
sleep 0.5
|
||||
done
|
||||
end=$(date +%s.%N)
|
||||
$CLICKHOUSE_LOCAL -q "select floor($end-$start)"
|
||||
}
|
||||
function get_buffer_delay()
|
||||
{
|
||||
local buffer_insert_id=$1 && shift
|
||||
$CLICKHOUSE_CLIENT -nm -q "
|
||||
SYSTEM FLUSH LOGS;
|
||||
WITH
|
||||
(SELECT event_time_microseconds FROM system.query_log WHERE current_database = currentDatabase() AND type = 'QueryStart' AND query_id = '$buffer_insert_id') AS begin_,
|
||||
(SELECT max(event_time) FROM data_01256) AS end_
|
||||
SELECT dateDiff('seconds', begin_, end_)::UInt64;
|
||||
"
|
||||
}
|
||||
|
||||
$CLICKHOUSE_CLIENT -nm -q "
|
||||
drop table if exists data_01256;
|
||||
drop table if exists buffer_01256;
|
||||
|
||||
create table data_01256 as system.numbers Engine=Memory();
|
||||
create table data_01256 (key UInt64, event_time DateTime(6) MATERIALIZED now64(6)) Engine=Memory();
|
||||
"
|
||||
|
||||
echo "min"
|
||||
$CLICKHOUSE_CLIENT -nm -q "
|
||||
create table buffer_01256 as system.numbers Engine=Buffer(currentDatabase(), data_01256, 1,
|
||||
$CLICKHOUSE_CLIENT -q "
|
||||
create table buffer_01256 (key UInt64) Engine=Buffer(currentDatabase(), data_01256, 1,
|
||||
2, 100, /* time */
|
||||
4, 100, /* rows */
|
||||
1, 1e6 /* bytes */
|
||||
);
|
||||
insert into buffer_01256 select * from system.numbers limit 5;
|
||||
select count() from data_01256;
|
||||
)
|
||||
"
|
||||
sec=$(elapsed_sec '[[ $($CLICKHOUSE_CLIENT -q "select count() from data_01256") -eq 5 ]]')
|
||||
min_query_id=$(random_str 10)
|
||||
$CLICKHOUSE_CLIENT --query_id="$min_query_id" -q "insert into buffer_01256 select * from system.numbers limit 5"
|
||||
$CLICKHOUSE_CLIENT -q "select count() from data_01256"
|
||||
wait_until '[[ $($CLICKHOUSE_CLIENT -q "select count() from data_01256") -eq 5 ]]'
|
||||
sec=$(get_buffer_delay "$min_query_id")
|
||||
[[ $sec -ge 2 ]] || echo "Buffer flushed too early, min_time=2, flushed after $sec sec"
|
||||
[[ $sec -lt 100 ]] || echo "Buffer flushed too late, max_time=100, flushed after $sec sec"
|
||||
$CLICKHOUSE_CLIENT -q "select count() from data_01256"
|
||||
$CLICKHOUSE_CLIENT -q "drop table buffer_01256"
|
||||
|
||||
echo "max"
|
||||
$CLICKHOUSE_CLIENT -nm -q "
|
||||
create table buffer_01256 as system.numbers Engine=Buffer(currentDatabase(), data_01256, 1,
|
||||
$CLICKHOUSE_CLIENT -q "
|
||||
create table buffer_01256 (key UInt64) Engine=Buffer(currentDatabase(), data_01256, 1,
|
||||
100, 2, /* time */
|
||||
0, 100, /* rows */
|
||||
0, 1e6 /* bytes */
|
||||
);
|
||||
insert into buffer_01256 select * from system.numbers limit 5;
|
||||
select count() from data_01256;
|
||||
"
|
||||
sec=$(elapsed_sec '[[ $($CLICKHOUSE_CLIENT -q "select count() from data_01256") -eq 10 ]]')
|
||||
max_query_id=$(random_str 10)
|
||||
$CLICKHOUSE_CLIENT --query_id="$max_query_id" -q "insert into buffer_01256 select * from system.numbers limit 5"
|
||||
$CLICKHOUSE_CLIENT -q "select count() from data_01256"
|
||||
wait_until '[[ $($CLICKHOUSE_CLIENT -q "select count() from data_01256") -eq 10 ]]'
|
||||
sec=$(get_buffer_delay "$max_query_id")
|
||||
[[ $sec -ge 2 ]] || echo "Buffer flushed too early, max_time=2, flushed after $sec sec"
|
||||
$CLICKHOUSE_CLIENT -q "select count() from data_01256"
|
||||
$CLICKHOUSE_CLIENT -q "drop table buffer_01256"
|
||||
|
||||
echo "direct"
|
||||
$CLICKHOUSE_CLIENT -nm -q "
|
||||
create table buffer_01256 as system.numbers Engine=Buffer(currentDatabase(), data_01256, 1,
|
||||
create table buffer_01256 (key UInt64) Engine=Buffer(currentDatabase(), data_01256, 1,
|
||||
100, 100, /* time */
|
||||
0, 9, /* rows */
|
||||
0, 1e6 /* bytes */
|
||||
|
||||
@ -1,4 +1,8 @@
|
||||
t1 this is a temtorary table
|
||||
t1 this is a temporary table
|
||||
t2 this is a MergeTree table
|
||||
t3 this is a Log table
|
||||
CREATE TABLE default.t1\n(\n `n` Int8\n)\nENGINE = Memory\nCOMMENT \'this is a temtorary table\'
|
||||
t4 this is a Kafka table
|
||||
t5 this is a EmbeddedRocksDB table
|
||||
t6 this is a Executable table
|
||||
t7 this is a WindowView table
|
||||
CREATE TABLE default.t1\n(\n `n` Int8\n)\nENGINE = Memory\nCOMMENT \'this is a temporary table\'
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
-- Tags: no-parallel
|
||||
-- Tags: no-parallel, no-fasttest
|
||||
|
||||
DROP TABLE IF EXISTS t1;
|
||||
DROP TABLE IF EXISTS t2;
|
||||
@ -9,7 +9,7 @@ CREATE TABLE t1
|
||||
`n` Int8
|
||||
)
|
||||
ENGINE = Memory
|
||||
COMMENT 'this is a temtorary table';
|
||||
COMMENT 'this is a temporary table';
|
||||
|
||||
CREATE TABLE t2
|
||||
(
|
||||
@ -26,14 +26,57 @@ CREATE TABLE t3
|
||||
ENGINE = Log
|
||||
COMMENT 'this is a Log table';
|
||||
|
||||
CREATE TABLE t4
|
||||
(
|
||||
`n` Int8
|
||||
)
|
||||
ENGINE = Kafka
|
||||
SETTINGS
|
||||
kafka_broker_list = 'localhost:10000',
|
||||
kafka_topic_list = 'test',
|
||||
kafka_group_name = 'test',
|
||||
kafka_format = 'JSONEachRow'
|
||||
COMMENT 'this is a Kafka table';
|
||||
|
||||
CREATE TABLE t5
|
||||
(
|
||||
`n` Int8
|
||||
)
|
||||
ENGINE = EmbeddedRocksDB
|
||||
PRIMARY KEY n
|
||||
COMMENT 'this is a EmbeddedRocksDB table';
|
||||
|
||||
CREATE TABLE t6
|
||||
(
|
||||
`n` Int8
|
||||
)
|
||||
ENGINE = Executable('script.py', TabSeparated)
|
||||
COMMENT 'this is a Executable table';
|
||||
|
||||
SET allow_experimental_window_view = 1;
|
||||
-- New analyzer doesn't support WindowView tables
|
||||
SET allow_experimental_analyzer = 0;
|
||||
|
||||
CREATE WINDOW VIEW t7
|
||||
(
|
||||
`n` Int8
|
||||
)
|
||||
ENGINE MergeTree
|
||||
ORDER BY n
|
||||
AS SELECT 1
|
||||
GROUP BY tumble(now(), toIntervalDay('1'))
|
||||
COMMENT 'this is a WindowView table';
|
||||
|
||||
SET allow_experimental_analyzer = 1;
|
||||
|
||||
SELECT
|
||||
name,
|
||||
comment
|
||||
FROM system.tables
|
||||
WHERE name IN ('t1', 't2', 't3') AND database = currentDatabase() order by name;
|
||||
WHERE name IN ('t1', 't2', 't3', 't4', 't5', 't6', 't7')
|
||||
AND database = currentDatabase() order by name;
|
||||
|
||||
SHOW CREATE TABLE t1;
|
||||
|
||||
DROP TABLE t1;
|
||||
DROP TABLE t2;
|
||||
DROP TABLE t3;
|
||||
DROP TABLE t1, t2, t3, t4, t5, t6;
|
||||
DROP VIEW t7;
|
||||
|
||||
@ -7,7 +7,7 @@ create table rmt2 (n int, m int, k int) engine=ReplicatedMergeTree('/test/02446/
|
||||
settings storage_policy='s3_cache', allow_remote_fs_zero_copy_replication=1, old_parts_lifetime=0, cleanup_delay_period=0, max_cleanup_delay_period=1, cleanup_delay_period_random_add=1, min_bytes_for_wide_part=0;
|
||||
|
||||
-- FIXME zero-copy locks may remain in ZooKeeper forever if we failed to insert a part.
|
||||
-- Probably that's why we have to replace repsistent lock with ephemeral sometimes.
|
||||
-- Probably that's why we have to replace persistent lock with ephemeral sometimes.
|
||||
-- See also "Replacing persistent lock with ephemeral for path {}. It can happen only in case of local part loss"
|
||||
-- in StorageReplicatedMergeTree::createZeroCopyLockNode
|
||||
set insert_keeper_fault_injection_probability=0;
|
||||
@ -23,6 +23,10 @@ select sleepEachRow(0.5) as test_does_not_rely_on_this;
|
||||
insert into rmt1 values(5, 5, 5);
|
||||
alter table rmt2 update m = m * 10 where 1 settings mutations_sync=2;
|
||||
|
||||
-- wait for parts to be merged
|
||||
select throwIf(name = 'all_0_5_1_6') from system.parts where database=currentDatabase() and table like 'rmt%' and active
|
||||
format Null; -- { retry 30 until serverError FUNCTION_THROW_IF_VALUE_IS_NON_ZERO }
|
||||
|
||||
system sync replica rmt2;
|
||||
set optimize_throw_if_noop=1;
|
||||
optimize table rmt2 final;
|
||||
@ -32,10 +36,10 @@ select 1, * from rmt1 order by n;
|
||||
system sync replica rmt1;
|
||||
select 2, * from rmt2 order by n;
|
||||
|
||||
-- a funny way to wait for outdated parts to be removed
|
||||
select sleep(1), sleepEachRow(0.1) from url('http://localhost:8123/?param_tries={1..10}&query=' || encodeURLComponent(
|
||||
'select *, _state from system.parts where database=''' || currentDatabase() || ''' and table like ''rmt%'' and active=0'
|
||||
), 'LineAsString', 's String') settings max_threads=1 format Null;
|
||||
-- wait for outdated parts to be removed (do not ignore _state column, so it will count Deleting parts as well)
|
||||
select throwIf(count() = 0), groupArray(_state) from (
|
||||
select *, _state from system.parts where database=currentDatabase() and table like 'rmt%' and active=0
|
||||
) format Null; -- { retry 30 until serverError FUNCTION_THROW_IF_VALUE_IS_NON_ZERO }
|
||||
|
||||
select *, _state from system.parts where database=currentDatabase() and table like 'rmt%' and active=0;
|
||||
|
||||
|
||||
@ -1,4 +1,10 @@
|
||||
CREATE TABLE foo (key UInt32, a String, b Int64, c String) ENGINE = TinyLog;
|
||||
|
||||
SELECT count() FROM mysql(mysql('127.0.0.1:9004', currentDatabase(), 'foo', 'default', ''), '127.0.0.1:9004', currentDatabase(), 'foo', '', ''); -- { serverError UNKNOWN_FUNCTION }
|
||||
SELECT count() FROM mysql(mysql('127.0.0.1:9004', currentDatabase(), 'foo', 'default', '', SETTINGS connection_pool_size = 1), '127.0.0.1:9004', currentDatabase(), 'foo', '', ''); -- { serverError UNKNOWN_FUNCTION, UNSUPPORTED_METHOD }
|
||||
SELECT count() FROM mysql(
|
||||
mysql('127.0.0.1:9004', currentDatabase(), 'foo', 'default', ''),
|
||||
'127.0.0.1:9004', currentDatabase(), 'foo', '', '',
|
||||
SETTINGS connect_timeout = 100, connection_wait_timeout = 100, read_write_timeout = 300); -- { serverError UNKNOWN_FUNCTION }
|
||||
SELECT count() FROM mysql(
|
||||
mysql('127.0.0.1:9004', currentDatabase(), 'foo', 'default', '', SETTINGS connection_pool_size = 1),
|
||||
'127.0.0.1:9004', currentDatabase(), 'foo', '', '',
|
||||
SETTINGS connect_timeout = 100, connection_wait_timeout = 100, read_write_timeout = 300); -- { serverError UNKNOWN_FUNCTION, UNSUPPORTED_METHOD }
|
||||
|
||||
@ -20,3 +20,5 @@ source_table_stripe_log
|
||||
source_table_tiny_log
|
||||
=== DICTIONARIES IN test_truncate_database ===
|
||||
dest_dictionary
|
||||
new tables
|
||||
new_table
|
||||
|
||||
@ -73,4 +73,8 @@ SELECT * FROM dest_dictionary; -- {serverError UNKNOWN_TABLE}
|
||||
SHOW TABLES FROM test_truncate_database;
|
||||
SHOW DICTIONARIES FROM test_truncate_database;
|
||||
|
||||
CREATE TABLE new_table (x UInt16) ENGINE = MergeTree ORDER BY x;
|
||||
select 'new tables';
|
||||
SHOW TABLES FROM test_truncate_database;
|
||||
|
||||
DROP DATABASE test_truncate_database;
|
||||
|
||||
@ -1,10 +1,10 @@
|
||||
Creating 300 tables
|
||||
900 1 1
|
||||
900 1 1
|
||||
900 1 1
|
||||
900 1 1
|
||||
Making 200 requests to system.replicas
|
||||
Creating 50 tables
|
||||
150 1 1
|
||||
150 1 1
|
||||
150 1 1
|
||||
150 1 1
|
||||
Making 100 requests to system.replicas
|
||||
Query system.replicas while waiting for other concurrent requests to finish
|
||||
0
|
||||
900
|
||||
150
|
||||
1
|
||||
|
||||
@ -7,8 +7,8 @@ CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
|
||||
set -e
|
||||
|
||||
NUM_TABLES=300
|
||||
CONCURRENCY=200
|
||||
NUM_TABLES=50
|
||||
CONCURRENCY=100
|
||||
|
||||
echo "Creating $NUM_TABLES tables"
|
||||
|
||||
@ -46,10 +46,10 @@ wait;
|
||||
|
||||
|
||||
# Check results with different max_block_size
|
||||
$CLICKHOUSE_CLIENT -q 'SELECT count(), sum(total_replicas) >= 2700, sum(active_replicas) >= 2700 FROM system.replicas WHERE database=currentDatabase()'
|
||||
$CLICKHOUSE_CLIENT -q 'SELECT count(), sum(total_replicas) >= 2700, sum(active_replicas) >= 2700 FROM system.replicas WHERE database=currentDatabase() SETTINGS max_block_size=1'
|
||||
$CLICKHOUSE_CLIENT -q 'SELECT count(), sum(total_replicas) >= 2700, sum(active_replicas) >= 2700 FROM system.replicas WHERE database=currentDatabase() SETTINGS max_block_size=77'
|
||||
$CLICKHOUSE_CLIENT -q 'SELECT count(), sum(total_replicas) >= 2700, sum(active_replicas) >= 2700 FROM system.replicas WHERE database=currentDatabase() SETTINGS max_block_size=11111'
|
||||
$CLICKHOUSE_CLIENT -q 'SELECT count() as c, sum(total_replicas) >= 3*c, sum(active_replicas) >= 3*c FROM system.replicas WHERE database=currentDatabase()'
|
||||
$CLICKHOUSE_CLIENT -q 'SELECT count() as c, sum(total_replicas) >= 3*c, sum(active_replicas) >= 3*c FROM system.replicas WHERE database=currentDatabase() SETTINGS max_block_size=1'
|
||||
$CLICKHOUSE_CLIENT -q 'SELECT count() as c, sum(total_replicas) >= 3*c, sum(active_replicas) >= 3*c FROM system.replicas WHERE database=currentDatabase() SETTINGS max_block_size=77'
|
||||
$CLICKHOUSE_CLIENT -q 'SELECT count() as c, sum(total_replicas) >= 3*c, sum(active_replicas) >= 3*c FROM system.replicas WHERE database=currentDatabase() SETTINGS max_block_size=11111'
|
||||
|
||||
|
||||
echo "Making $CONCURRENCY requests to system.replicas"
|
||||
@ -70,8 +70,8 @@ wait;
|
||||
$CLICKHOUSE_CLIENT -nq "
|
||||
SYSTEM FLUSH LOGS;
|
||||
|
||||
-- without optimisation there are ~350K zk requests
|
||||
SELECT sum(ProfileEvents['ZooKeeperTransactions']) < 30000
|
||||
-- Check that number of ZK request is less then a half of (total replicas * concurrency)
|
||||
SELECT sum(ProfileEvents['ZooKeeperTransactions']) < (${NUM_TABLES} * 3 * ${CONCURRENCY} / 2)
|
||||
FROM system.query_log
|
||||
WHERE current_database=currentDatabase() AND log_comment='02908_many_requests';
|
||||
"
|
||||
|
||||
@ -2,7 +2,7 @@
|
||||
set allow_experimental_dynamic_type=1;
|
||||
|
||||
drop table if exists test;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_columns_to_activate=10, index_granularity_bytes=10485760, index_granularity=8192, merge_max_block_size=8192, merge_max_block_size_bytes=10485760;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_columns_to_activate=10, index_granularity_bytes=10485760, index_granularity=8192, merge_max_block_size=8192, merge_max_block_size_bytes=10485760, lock_acquire_timeout_for_background_operations=600;
|
||||
|
||||
system stop merges test;
|
||||
insert into test select number, number from numbers(100000);
|
||||
|
||||
@ -2,7 +2,7 @@
|
||||
set allow_experimental_dynamic_type=1;
|
||||
|
||||
drop table if exists test;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_columns_to_activate=10, index_granularity_bytes=10485760, index_granularity=8192, merge_max_block_size=8192, merge_max_block_size_bytes=10485760;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_columns_to_activate=10, index_granularity_bytes=10485760, index_granularity=8192, merge_max_block_size=8192, merge_max_block_size_bytes=10485760, lock_acquire_timeout_for_background_operations=600;
|
||||
|
||||
system stop merges test;
|
||||
insert into test select number, number from numbers(100000);
|
||||
|
||||
@ -2,7 +2,7 @@
|
||||
set allow_experimental_dynamic_type=1;
|
||||
|
||||
drop table if exists test;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1, index_granularity_bytes=10485760, index_granularity=8192, merge_max_block_size=8192, merge_max_block_size_bytes=10485760;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1, index_granularity_bytes=10485760, index_granularity=8192, merge_max_block_size=8192, merge_max_block_size_bytes=10485760, lock_acquire_timeout_for_background_operations=600;
|
||||
|
||||
system stop merges test;
|
||||
insert into test select number, number from numbers(100000);
|
||||
@ -13,7 +13,8 @@ insert into test select number, toDateTime(number) from numbers(50000);
|
||||
insert into test select number, NULL from numbers(100000);
|
||||
|
||||
select count(), dynamicType(d) from test group by dynamicType(d) order by count(), dynamicType(d);
|
||||
system start merges test; optimize table test final;;
|
||||
system start merges test;
|
||||
optimize table test final;
|
||||
select count(), dynamicType(d) from test group by dynamicType(d) order by count(), dynamicType(d);
|
||||
|
||||
system stop merges test;
|
||||
|
||||
@ -2,7 +2,7 @@
|
||||
set allow_experimental_dynamic_type=1;
|
||||
|
||||
drop table if exists test;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1, index_granularity_bytes=10485760, index_granularity=8192, merge_max_block_size=8192, merge_max_block_size_bytes=10485760;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1, index_granularity_bytes=10485760, index_granularity=8192, merge_max_block_size=8192, merge_max_block_size_bytes=10485760, lock_acquire_timeout_for_background_operations=600;
|
||||
|
||||
system stop merges test;
|
||||
insert into test select number, number from numbers(100000);
|
||||
|
||||
@ -3,7 +3,7 @@
|
||||
set allow_experimental_dynamic_type = 1;
|
||||
|
||||
drop table if exists test;
|
||||
create table test (id UInt64, d Dynamic) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000;
|
||||
create table test (id UInt64, d Dynamic) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, lock_acquire_timeout_for_background_operations=600;
|
||||
system stop merges test;
|
||||
insert into test select number, number from numbers(1000000);
|
||||
insert into test select number, 'str_' || toString(number) from numbers(1000000, 1000000);
|
||||
|
||||
@ -3,7 +3,7 @@
|
||||
set allow_experimental_dynamic_type = 1;
|
||||
|
||||
drop table if exists test;
|
||||
create table test (id UInt64, d Dynamic) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1;
|
||||
create table test (id UInt64, d Dynamic) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, lock_acquire_timeout_for_background_operations=600;
|
||||
system stop merges test;
|
||||
insert into test select number, number from numbers(1000000);
|
||||
insert into test select number, 'str_' || toString(number) from numbers(1000000, 1000000);
|
||||
|
||||
@ -3,7 +3,7 @@
|
||||
set allow_experimental_dynamic_type = 1;
|
||||
|
||||
drop table if exists test;
|
||||
create table test (id UInt64, d Dynamic) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1;
|
||||
create table test (id UInt64, d Dynamic) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1, lock_acquire_timeout_for_background_operations=600;
|
||||
system stop merges test;
|
||||
insert into test select number, number from numbers(1000000);
|
||||
insert into test select number, 'str_' || toString(number) from numbers(1000000, 1000000);
|
||||
|
||||
@ -3,7 +3,7 @@
|
||||
set allow_experimental_dynamic_type = 1;
|
||||
|
||||
drop table if exists test;
|
||||
create table test (id UInt64, d Dynamic) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1;
|
||||
create table test (id UInt64, d Dynamic) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1, lock_acquire_timeout_for_background_operations=600;
|
||||
system stop merges test;
|
||||
insert into test select number, number from numbers(1000000);
|
||||
insert into test select number, 'str_' || toString(number) from numbers(1000000, 1000000);
|
||||
|
||||
@ -6,7 +6,7 @@ set allow_experimental_dynamic_type = 1;
|
||||
set enable_named_columns_in_function_tuple = 0;
|
||||
|
||||
drop table if exists test;;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000;;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, lock_acquire_timeout_for_background_operations=600;
|
||||
|
||||
system stop merges test;
|
||||
insert into test select number, number from numbers(100000);
|
||||
|
||||
@ -6,7 +6,7 @@ set allow_experimental_dynamic_type = 1;
|
||||
set enable_named_columns_in_function_tuple = 0;
|
||||
|
||||
drop table if exists test;;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1000000000, min_bytes_for_wide_part=10000000000, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1, lock_acquire_timeout_for_background_operations=600;
|
||||
|
||||
system stop merges test;
|
||||
insert into test select number, number from numbers(100000);
|
||||
|
||||
@ -6,7 +6,7 @@ set allow_experimental_dynamic_type = 1;
|
||||
set enable_named_columns_in_function_tuple = 0;
|
||||
|
||||
drop table if exists test;;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, lock_acquire_timeout_for_background_operations=600;
|
||||
|
||||
system stop merges test;
|
||||
insert into test select number, number from numbers(100000);
|
||||
|
||||
@ -6,7 +6,7 @@ set allow_experimental_dynamic_type = 1;
|
||||
set enable_named_columns_in_function_tuple = 0;
|
||||
|
||||
drop table if exists test;;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1;
|
||||
create table test (id UInt64, d Dynamic(max_types=3)) engine=MergeTree order by id settings min_rows_for_wide_part=1, min_bytes_for_wide_part=1, vertical_merge_algorithm_min_rows_to_activate=1, vertical_merge_algorithm_min_columns_to_activate=1, lock_acquire_timeout_for_background_operations=600;
|
||||
|
||||
system stop merges test;
|
||||
insert into test select number, number from numbers(100000);
|
||||
|
||||
@ -6,8 +6,7 @@ CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
|
||||
$CLICKHOUSE_CLIENT -nm -q "
|
||||
drop table if exists tp_1;
|
||||
create table tp_1 (x Int32, y Int32, projection p (select x, y order by x)) engine = MergeTree order by y partition by intDiv(y, 100);
|
||||
system stop merges tp_1;
|
||||
create table tp_1 (x Int32, y Int32, projection p (select x, y order by x)) engine = MergeTree order by y partition by intDiv(y, 100) settings max_parts_to_merge_at_once=1;
|
||||
insert into tp_1 select number, number from numbers(3);
|
||||
|
||||
set mutations_sync = 2;
|
||||
@ -39,7 +38,6 @@ $CLICKHOUSE_CLIENT -nm -q "
|
||||
set send_logs_level='fatal';
|
||||
drop table tp_1;
|
||||
restore table tp_1 from Disk('backups', '$backup_id');
|
||||
system stop merges tp_1;
|
||||
" | grep -o "RESTORED"
|
||||
|
||||
$CLICKHOUSE_CLIENT -q "select count() from tp_1;"
|
||||
|
||||
@ -0,0 +1,5 @@
|
||||
set allow_experimental_variant_type=1;
|
||||
set use_variant_as_common_type=1;
|
||||
|
||||
SELECT * FROM numbers([tuple(1, 2), NULL], 2); -- {serverError ILLEGAL_TYPE_OF_ARGUMENT}
|
||||
|
||||
@ -0,0 +1,12 @@
|
||||
0 1 1 1 0 0 0
|
||||
1 3 3 3 2 2 2
|
||||
2 5 5 5 4 4 4
|
||||
3 7 7 7 6 6 6
|
||||
4 9 9 9 8 8 8
|
||||
5 11 11 11 10 10 10
|
||||
6 13 13 13 12 12 12
|
||||
7 15 15 15 14 14 14
|
||||
8 17 17 17 16 16 16
|
||||
9 19 19 19 18 18 18
|
||||
|
||||
0 107351244 107351244 107351244 107354520 107354520 107354520
|
||||
@ -0,0 +1,19 @@
|
||||
SELECT
|
||||
intDiv(number, 2) AS k,
|
||||
sumArgMax(number, number % 20),
|
||||
sumArgMax(number, leftPad(toString(number % 20), 5, '0')), -- Pad with 0 to preserve number ordering
|
||||
sumArgMax(number, [number % 20, number % 20]),
|
||||
sumArgMin(number, number % 20),
|
||||
sumArgMin(number, leftPad(toString(number % 20), 5, '0')),
|
||||
sumArgMin(number, [number % 20, number % 20]),
|
||||
FROM
|
||||
(
|
||||
SELECT number
|
||||
FROM system.numbers
|
||||
LIMIT 65537
|
||||
)
|
||||
GROUP BY k
|
||||
WITH TOTALS
|
||||
ORDER BY k ASC
|
||||
LIMIT 10
|
||||
SETTINGS group_by_overflow_mode = 'any', totals_mode = 'before_having', max_rows_to_group_by = 100000;
|
||||
@ -1622,6 +1622,7 @@ filesystem
|
||||
filesystemAvailable
|
||||
filesystemCapacity
|
||||
filesystemFree
|
||||
filesystemUnreserved
|
||||
filesystems
|
||||
finalizeAggregation
|
||||
fips
|
||||
|
||||
Loading…
Reference in New Issue
Block a user