add a new function mapExtractKeyLike

This commit is contained in:
凌涛 2021-10-28 17:15:32 +08:00
parent b7b269b140
commit 39322cdbe2
4 changed files with 219 additions and 0 deletions

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@ -390,5 +390,43 @@ Result:
└─────────────────────────────┘
```
## mapExtractKeyLike {#mapExtractKeyLike}
**Syntax**
```sql
mapExtractKeyLike(map, pattern)
```
**Parameters**
- `map` — Map. [Map](../../sql-reference/data-types/map.md).
- `pattern` - String pattern to match.
**Returned value**
- A map contained elements the key of which matchs the specified pattern. If there are no elements matched the pattern, it will return an empty map.
**Example**
Query:
```sql
CREATE TABLE test (a Map(String,String)) ENGINE = Memory;
INSERT INTO test VALUES ({'abc':'abc','def':'def'}), ({'hij':'hij','klm':'klm'});
SELECT mapExtractKeyLike(a, 'a%') FROM test;
```
Result:
```text
┌─mapExtractKeyLike(a, 'a%')─┐
│ {'abc':'abc'} │
│ {} │
└────────────────────────────┘
```
[Original article](https://clickhouse.com/docs/en/sql-reference/functions/tuple-map-functions/) <!--hide-->

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@ -382,6 +382,141 @@ public:
bool useDefaultImplementationForConstants() const override { return true; }
};
class FunctionExtractKeyLike : public IFunction
{
public:
static constexpr auto name = "mapExtractKeyLike";
static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionExtractKeyLike>(); }
String getName() const override
{
return name;
}
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*info*/) const override { return true; }
size_t getNumberOfArguments() const override { return 2; }
DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
{
if (arguments.size() != 2)
throw Exception("Number of arguments for function " + getName() + " doesn't match: passed "
+ toString(arguments.size()) + ", should be 2",
ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH);
const DataTypeMap * map_type = checkAndGetDataType<DataTypeMap>(arguments[0].type.get());
if (!map_type)
throw Exception{"First argument for function " + getName() + " must be a map",
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT};
auto key_type = map_type->getKeyType();
WhichDataType which(key_type);
if (!which.isStringOrFixedString())
throw Exception{"Function " + getName() + "only support the map with String or FixedString key",
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT};
if (!isStringOrFixedString(arguments[1].type))
throw Exception{"Second argument passed to function " + getName() + " must be String or FixedString",
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT};
return std::make_shared<DataTypeMap>(map_type->getKeyType(), map_type->getValueType());
}
bool useDefaultImplementationForConstants() const override { return true; }
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const override
{
bool is_const = isColumnConst(*arguments[0].column);
const ColumnMap * col_map = typeid_cast<const ColumnMap *>(arguments[0].column.get());
//It may not be necessary to check this condition, cause it will be checked in getReturnTypeImpl function
if (!col_map)
return nullptr;
const DataTypeMap * map_type = checkAndGetDataType<DataTypeMap>(arguments[0].type.get());
auto key_type = map_type->getKeyType();
auto value_type = map_type->getValueType();
const auto & nested_column = col_map->getNestedColumn();
const auto & values_column = col_map->getNestedData().getColumn(1);
const ColumnString * keys_string_column = checkAndGetColumn<ColumnString>(col_map->getNestedData().getColumn(0));
const ColumnFixedString * keys_fixed_string_column = checkAndGetColumn<ColumnFixedString>(col_map->getNestedData().getColumn(0));
FunctionLike func_like;
//create result data
MutableColumnPtr keys_data = key_type->createColumn();
MutableColumnPtr values_data = value_type->createColumn();
MutableColumnPtr offsets = DataTypeNumber<IColumn::Offset>().createColumn();
IColumn::Offset current_offset = 0;
for (size_t row = 0; row < input_rows_count; row++)
{
size_t element_start_row = row != 0 ? nested_column.getOffsets()[row-1] : 0;
size_t element_size = nested_column.getOffsets()[row]- element_start_row;
ColumnsWithTypeAndName new_arguments;
ColumnPtr sub_map_column;
DataTypePtr data_type;
if (keys_string_column)
{
sub_map_column = keys_string_column->cut(element_start_row, element_size);
data_type = std::make_shared<DataTypeString>();
}
else
{
sub_map_column = keys_fixed_string_column->cut(element_start_row, element_size);
data_type =std::make_shared<DataTypeFixedString>(checkAndGetColumn<ColumnFixedString>(sub_map_column.get())->getN());
}
size_t col_key_size = sub_map_column->size();
auto column = is_const? ColumnConst::create(std::move(sub_map_column), std::move(col_key_size)) : std::move(sub_map_column);
new_arguments = {
{
column,
data_type,
""
},
arguments[1]
};
auto res = func_like.executeImpl(new_arguments, result_type, input_rows_count);
const auto & container = checkAndGetColumn<ColumnUInt8>(res.get())->getData();
for (size_t row_num = 0; row_num < element_size; row_num++)
{
if (container[row_num] == 1)
{
auto key_ref = keys_string_column ?
keys_string_column->getDataAt(element_start_row + row_num) :
keys_fixed_string_column->getDataAt(element_start_row + row_num);
auto value_ref = values_column.getDataAt(element_start_row + row_num);
keys_data->insertData(key_ref.data, key_ref.size);
values_data->insertData(value_ref.data, value_ref.size);
current_offset += 1;
}
}
offsets->insert(current_offset);
}
auto result_nested_column = ColumnArray::create(
ColumnTuple::create(Columns{std::move(keys_data), std::move(values_data)}),
std::move(offsets));
return ColumnMap::create(result_nested_column);
}
};
}
void registerFunctionsMap(FunctionFactory & factory)
@ -391,6 +526,7 @@ void registerFunctionsMap(FunctionFactory & factory)
factory.registerFunction<FunctionMapKeys>();
factory.registerFunction<FunctionMapValues>();
factory.registerFunction<FunctionMapContainsKeyLike>();
factory.registerFunction<FunctionExtractKeyLike>();
}
}

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@ -0,0 +1,23 @@
The data of table:
1 {'P1-K1':'1-V1','P2-K2':'1-V2'}
2 {'P1-K1':'2-V1','P2-K2':'2-V2'}
3 {'P1-K1':'3-V1','P2-K2':'3-V2'}
4 {'P1-K1':'4-V1','P2-K2':'4-V2'}
5 {'5-K1':'5-V1','5-K2':'5-V2'}
6 {'P3-K1':'6-V1','P4-K2':'6-V2'}
The results of query: SELECT id, mapExtractKeyLike(map, \'P1%\') FROM map_extractKeyLike_test ORDER BY id;
1 {'P1-K1':'1-V1'}
2 {'P1-K1':'2-V1'}
3 {'P1-K1':'3-V1'}
4 {'P1-K1':'4-V1'}
5 {}
6 {}
The results of query: SELECT id, mapExtractKeyLike(map, \'5-K1\') FROM map_extractKeyLike_test ORDER BY id;
1 {}
2 {}
3 {}
4 {}
5 {'5-K1':'5-V1'}
6 {}

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@ -0,0 +1,22 @@
DROP TABLE IF EXISTS map_extractKeyLike_test;
CREATE TABLE map_extractKeyLike_test (id UInt32, map Map(String, String)) Engine=MergeTree() ORDER BY id settings index_granularity=2;
INSERT INTO map_extractKeyLike_test VALUES (1, {'P1-K1':'1-V1','P2-K2':'1-V2'}),(2,{'P1-K1':'2-V1','P2-K2':'2-V2'});
INSERT INTO map_extractKeyLike_test VALUES (3, {'P1-K1':'3-V1','P2-K2':'3-V2'}),(4,{'P1-K1':'4-V1','P2-K2':'4-V2'});
INSERT INTO map_extractKeyLike_test VALUES (5, {'5-K1':'5-V1','5-K2':'5-V2'}),(6, {'P3-K1':'6-V1','P4-K2':'6-V2'});
SELECT 'The data of table:';
SELECT * FROM map_extractKeyLike_test ORDER BY id;
SELECT '';
SELECT 'The results of query: SELECT id, mapExtractKeyLike(map, \'P1%\') FROM map_extractKeyLike_test ORDER BY id;';
SELECT id, mapExtractKeyLike(map, 'P1%') FROM map_extractKeyLike_test ORDER BY id;
SELECT '';
SELECT 'The results of query: SELECT id, mapExtractKeyLike(map, \'5-K1\') FROM map_extractKeyLike_test ORDER BY id;';
SELECT id, mapExtractKeyLike(map, '5-K1') FROM map_extractKeyLike_test ORDER BY id;
DROP TABLE map_extractKeyLike_test;