In [T|C]SVWithNames formats start using column information from header

This commit is contained in:
Alexander Kazakov 2019-04-22 16:31:17 +03:00 committed by akazz
parent 7a6365dbf1
commit d90bab5e33
11 changed files with 577 additions and 196 deletions

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@ -153,7 +153,8 @@ struct Settings
\ \
M(SettingBool, add_http_cors_header, false, "Write add http CORS header.") \ M(SettingBool, add_http_cors_header, false, "Write add http CORS header.") \
\ \
M(SettingBool, input_format_skip_unknown_fields, false, "Skip columns with unknown names from input data (it works for JSONEachRow and TSKV formats).") \ M(SettingBool, input_format_skip_unknown_fields, false, "Skip columns with unknown names from input data (it works for JSONEachRow, CSVWithNames, TSVWithNames and TSKV formats).") \
M(SettingBool, input_format_with_names_use_header, false, "For TSVWithNames and CSVWithNames input formats this controls whether format parser is to assume that column data appear in the input exactly as they are specified in the header.") \
M(SettingBool, input_format_import_nested_json, false, "Map nested JSON data to nested tables (it works for JSONEachRow format).") \ M(SettingBool, input_format_import_nested_json, false, "Map nested JSON data to nested tables (it works for JSONEachRow format).") \
M(SettingBool, input_format_defaults_for_omitted_fields, false, "For input data calculate default expressions for omitted fields (it works for JSONEachRow format).") \ M(SettingBool, input_format_defaults_for_omitted_fields, false, "For input data calculate default expressions for omitted fields (it works for JSONEachRow format).") \
\ \

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@ -19,17 +19,7 @@ namespace ErrorCodes
} }
CSVRowInputStream::CSVRowInputStream(ReadBuffer & istr_, const Block & header_, bool with_names_, const FormatSettings & format_settings) static inline void skipEndOfLine(ReadBuffer & istr)
: istr(istr_), header(header_), with_names(with_names_), format_settings(format_settings)
{
size_t num_columns = header.columns();
data_types.resize(num_columns);
for (size_t i = 0; i < num_columns; ++i)
data_types[i] = header.safeGetByPosition(i).type;
}
static void skipEndOfLine(ReadBuffer & istr)
{ {
/// \n (Unix) or \r\n (DOS/Windows) or \n\r (Mac OS Classic) /// \n (Unix) or \r\n (DOS/Windows) or \n\r (Mac OS Classic)
@ -53,7 +43,7 @@ static void skipEndOfLine(ReadBuffer & istr)
} }
static void skipDelimiter(ReadBuffer & istr, const char delimiter, bool is_last_column) static inline void skipDelimiter(ReadBuffer & istr, const char delimiter, bool is_last_column)
{ {
if (is_last_column) if (is_last_column)
{ {
@ -99,37 +89,148 @@ static void skipRow(ReadBuffer & istr, const FormatSettings::CSV & settings, siz
} }
CSVRowInputStream::CSVRowInputStream(ReadBuffer & istr_, const Block & header_, bool with_names_, const FormatSettings & format_settings)
: istr(istr_), header(header_), with_names(with_names_), format_settings(format_settings)
{
const auto num_columns = header.columns();
data_types.resize(num_columns);
column_indexes_by_names.reserve(num_columns);
for (size_t i = 0; i < num_columns; ++i)
{
const auto & column_info = header.getByPosition(i);
data_types[i] = column_info.type;
column_indexes_by_names.emplace(column_info.name, i);
}
input_fields_with_indexes.reserve(num_columns);
read_columns.assign(num_columns, false);
}
void CSVRowInputStream::setupAllColumnsByTableSchema()
{
read_columns.assign(header.columns(), true);
input_fields_with_indexes.resize(header.columns());
for (size_t i = 0; i < input_fields_with_indexes.size(); ++i)
{
input_fields_with_indexes[i] = i;
}
}
void CSVRowInputStream::addInputColumn(const String & column_name) {
const auto column_it = column_indexes_by_names.find(column_name);
if (column_it == column_indexes_by_names.end())
{
if (format_settings.skip_unknown_fields)
{
input_fields_with_indexes.push_back(std::nullopt);
return;
}
throw Exception(
"Unknown field found in CSV header: '" + column_name + "' " +
"at position " + std::to_string(input_fields_with_indexes.size()) +
"\nSet the 'input_format_skip_unknown_fields' parameter explicitly to ignore and proceed",
ErrorCodes::INCORRECT_DATA
);
}
const auto column_index = column_it->second;
if (read_columns[column_index])
throw Exception("Duplicate field found while parsing CSV header: " + column_name, ErrorCodes::INCORRECT_DATA);
read_columns[column_index] = true;
input_fields_with_indexes.emplace_back(column_index);
}
void CSVRowInputStream::fillUnreadColumnsWithDefaults(MutableColumns & columns, RowReadExtension & row_read_extension)
{
/// It is safe to memorize this on the first run - the format guarantees this does not change
if (unlikely(row_num == 1))
{
columns_to_fill_with_default_values.clear();
for (size_t index = 0; index < read_columns.size(); ++index)
if (read_columns[index] == 0)
columns_to_fill_with_default_values.push_back(index);
}
for (const auto column_index : columns_to_fill_with_default_values)
data_types[column_index]->insertDefaultInto(*columns[column_index]);
row_read_extension.read_columns = read_columns;
}
void CSVRowInputStream::readPrefix() void CSVRowInputStream::readPrefix()
{ {
/// In this format, we assume, that if first string field contain BOM as value, it will be written in quotes, /// In this format, we assume, that if first string field contain BOM as value, it will be written in quotes,
/// so BOM at beginning of stream cannot be confused with BOM in first string value, and it is safe to skip it. /// so BOM at beginning of stream cannot be confused with BOM in first string value, and it is safe to skip it.
skipBOMIfExists(istr); skipBOMIfExists(istr);
size_t num_columns = data_types.size();
String tmp;
if (with_names) if (with_names)
skipRow(istr, format_settings.csv, num_columns); {
if (format_settings.with_names_use_header)
{
do
{
String column_name;
skipWhitespacesAndTabs(istr);
readCSVString(column_name, istr, format_settings.csv);
skipWhitespacesAndTabs(istr);
addInputColumn(column_name);
}
while(checkChar(format_settings.csv.delimiter, istr));
skipDelimiter(istr, format_settings.csv.delimiter, true);
}
else
{
setupAllColumnsByTableSchema();
skipRow(istr, format_settings.csv, input_fields_with_indexes.size());
}
}
else
{
setupAllColumnsByTableSchema();
}
} }
bool CSVRowInputStream::read(MutableColumns & columns, RowReadExtension &) bool CSVRowInputStream::read(MutableColumns & columns, RowReadExtension & ext)
{ {
if (istr.eof()) if (istr.eof())
return false; return false;
updateDiagnosticInfo(); updateDiagnosticInfo();
size_t size = data_types.size(); String tmp;
for (size_t input_position = 0; input_position < input_fields_with_indexes.size(); ++input_position)
for (size_t i = 0; i < size; ++i) {
const auto & column_index = input_fields_with_indexes[input_position];
if (column_index)
{ {
skipWhitespacesAndTabs(istr); skipWhitespacesAndTabs(istr);
data_types[i]->deserializeAsTextCSV(*columns[i], istr, format_settings); data_types[*column_index]->deserializeAsTextCSV(*columns[*column_index], istr, format_settings);
skipWhitespacesAndTabs(istr); skipWhitespacesAndTabs(istr);
skipDelimiter(istr, format_settings.csv.delimiter, i + 1 == size);
} }
else
{
readCSVString(tmp, istr, format_settings.csv);
}
skipDelimiter(istr, format_settings.csv.delimiter, input_position + 1 == input_fields_with_indexes.size());
}
fillUnreadColumnsWithDefaults(columns, ext);
return true; return true;
} }
@ -202,18 +303,22 @@ bool OPTIMIZE(1) CSVRowInputStream::parseRowAndPrintDiagnosticInfo(MutableColumn
{ {
const char delimiter = format_settings.csv.delimiter; const char delimiter = format_settings.csv.delimiter;
size_t size = data_types.size(); for (size_t input_position = 0; input_position < input_fields_with_indexes.size(); ++input_position)
for (size_t i = 0; i < size; ++i)
{ {
if (i == 0 && istr.eof()) if (input_position == 0 && istr.eof())
{ {
out << "<End of stream>\n"; out << "<End of stream>\n";
return false; return false;
} }
out << "Column " << i << ", " << std::string((i < 10 ? 2 : i < 100 ? 1 : 0), ' ') if (input_fields_with_indexes[input_position].has_value())
<< "name: " << header.safeGetByPosition(i).name << ", " << std::string(max_length_of_column_name - header.safeGetByPosition(i).name.size(), ' ') {
<< "type: " << data_types[i]->getName() << ", " << std::string(max_length_of_data_type_name - data_types[i]->getName().size(), ' '); const auto & column_index = *input_fields_with_indexes[input_position];
const auto & current_column_type = data_types[column_index];
out << "Column " << input_position << ", " << std::string((input_position < 10 ? 2 : input_position < 100 ? 1 : 0), ' ')
<< "name: " << header.safeGetByPosition(column_index).name << ", " << std::string(max_length_of_column_name - header.safeGetByPosition(column_index).name.size(), ' ')
<< "type: " << current_column_type->getName() << ", " << std::string(max_length_of_data_type_name - current_column_type->getName().size(), ' ');
BufferBase::Position prev_position = istr.position(); BufferBase::Position prev_position = istr.position();
BufferBase::Position curr_position = istr.position(); BufferBase::Position curr_position = istr.position();
@ -223,7 +328,7 @@ bool OPTIMIZE(1) CSVRowInputStream::parseRowAndPrintDiagnosticInfo(MutableColumn
{ {
skipWhitespacesAndTabs(istr); skipWhitespacesAndTabs(istr);
prev_position = istr.position(); prev_position = istr.position();
data_types[i]->deserializeAsTextCSV(*columns[i], istr, format_settings); current_column_type->deserializeAsTextCSV(*columns[column_index], istr, format_settings);
curr_position = istr.position(); curr_position = istr.position();
skipWhitespacesAndTabs(istr); skipWhitespacesAndTabs(istr);
} }
@ -235,14 +340,14 @@ bool OPTIMIZE(1) CSVRowInputStream::parseRowAndPrintDiagnosticInfo(MutableColumn
if (curr_position < prev_position) if (curr_position < prev_position)
throw Exception("Logical error: parsing is non-deterministic.", ErrorCodes::LOGICAL_ERROR); throw Exception("Logical error: parsing is non-deterministic.", ErrorCodes::LOGICAL_ERROR);
if (isNumber(data_types[i]) || isDateOrDateTime(data_types[i])) if (isNumber(current_column_type) || isDateOrDateTime(current_column_type))
{ {
/// An empty string instead of a value. /// An empty string instead of a value.
if (curr_position == prev_position) if (curr_position == prev_position)
{ {
out << "ERROR: text "; out << "ERROR: text ";
verbosePrintString(prev_position, std::min(prev_position + 10, istr.buffer().end()), out); verbosePrintString(prev_position, std::min(prev_position + 10, istr.buffer().end()), out);
out << " is not like " << data_types[i]->getName() << "\n"; out << " is not like " << current_column_type->getName() << "\n";
return false; return false;
} }
} }
@ -252,9 +357,9 @@ bool OPTIMIZE(1) CSVRowInputStream::parseRowAndPrintDiagnosticInfo(MutableColumn
if (exception) if (exception)
{ {
if (data_types[i]->getName() == "DateTime") if (current_column_type->getName() == "DateTime")
out << "ERROR: DateTime must be in YYYY-MM-DD hh:mm:ss or NNNNNNNNNN (unix timestamp, exactly 10 digits) format.\n"; out << "ERROR: DateTime must be in YYYY-MM-DD hh:mm:ss or NNNNNNNNNN (unix timestamp, exactly 10 digits) format.\n";
else if (data_types[i]->getName() == "Date") else if (current_column_type->getName() == "Date")
out << "ERROR: Date must be in YYYY-MM-DD format.\n"; out << "ERROR: Date must be in YYYY-MM-DD format.\n";
else else
out << "ERROR\n"; out << "ERROR\n";
@ -263,25 +368,36 @@ bool OPTIMIZE(1) CSVRowInputStream::parseRowAndPrintDiagnosticInfo(MutableColumn
out << "\n"; out << "\n";
if (data_types[i]->haveMaximumSizeOfValue()) if (current_column_type->haveMaximumSizeOfValue())
{ {
if (*curr_position != '\n' && *curr_position != '\r' && *curr_position != delimiter) if (*curr_position != '\n' && *curr_position != '\r' && *curr_position != delimiter)
{ {
out << "ERROR: garbage after " << data_types[i]->getName() << ": "; out << "ERROR: garbage after " << current_column_type->getName() << ": ";
verbosePrintString(curr_position, std::min(curr_position + 10, istr.buffer().end()), out); verbosePrintString(curr_position, std::min(curr_position + 10, istr.buffer().end()), out);
out << "\n"; out << "\n";
if (data_types[i]->getName() == "DateTime") if (current_column_type->getName() == "DateTime")
out << "ERROR: DateTime must be in YYYY-MM-DD hh:mm:ss or NNNNNNNNNN (unix timestamp, exactly 10 digits) format.\n"; out << "ERROR: DateTime must be in YYYY-MM-DD hh:mm:ss or NNNNNNNNNN (unix timestamp, exactly 10 digits) format.\n";
else if (data_types[i]->getName() == "Date") else if (current_column_type->getName() == "Date")
out << "ERROR: Date must be in YYYY-MM-DD format.\n"; out << "ERROR: Date must be in YYYY-MM-DD format.\n";
return false; return false;
} }
} }
}
else
{
static const String skipped_column_str = "<SKIPPED COLUMN>";
out << "Column " << input_position << ", " << std::string((input_position < 10 ? 2 : input_position < 100 ? 1 : 0), ' ')
<< "name: " << skipped_column_str << ", " << std::string(max_length_of_column_name - skipped_column_str.length(), ' ')
<< "type: " << skipped_column_str << ", " << std::string(max_length_of_data_type_name - skipped_column_str.length(), ' ');
String tmp;
readCSVString(tmp, istr, format_settings.csv);
}
/// Delimiters /// Delimiters
if (i + 1 == size) if (input_position + 1 == input_fields_with_indexes.size())
{ {
if (istr.eof()) if (istr.eof())
return false; return false;

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@ -21,7 +21,7 @@ public:
*/ */
CSVRowInputStream(ReadBuffer & istr_, const Block & header_, bool with_names_, const FormatSettings & format_settings); CSVRowInputStream(ReadBuffer & istr_, const Block & header_, bool with_names_, const FormatSettings & format_settings);
bool read(MutableColumns & columns, RowReadExtension &) override; bool read(MutableColumns & columns, RowReadExtension & ext) override;
void readPrefix() override; void readPrefix() override;
bool allowSyncAfterError() const override { return true; } bool allowSyncAfterError() const override { return true; }
void syncAfterError() override; void syncAfterError() override;
@ -36,6 +36,19 @@ private:
const FormatSettings format_settings; const FormatSettings format_settings;
using IndexesMap = std::unordered_map<String, size_t>;
IndexesMap column_indexes_by_names;
using OptionalIndexes = std::vector<std::optional<size_t>>;
OptionalIndexes input_fields_with_indexes;
std::vector<UInt8> read_columns;
std::vector<size_t> columns_to_fill_with_default_values;
void addInputColumn(const String & column_name);
void setupAllColumnsByTableSchema();
void fillUnreadColumnsWithDefaults(MutableColumns & columns, RowReadExtension& ext);
/// For convenient diagnostics in case of an error. /// For convenient diagnostics in case of an error.
size_t row_num = 0; size_t row_num = 0;

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@ -40,6 +40,7 @@ BlockInputStreamPtr FormatFactory::getInput(const String & name, ReadBuffer & bu
format_settings.csv.allow_single_quotes = settings.format_csv_allow_single_quotes; format_settings.csv.allow_single_quotes = settings.format_csv_allow_single_quotes;
format_settings.csv.allow_double_quotes = settings.format_csv_allow_double_quotes; format_settings.csv.allow_double_quotes = settings.format_csv_allow_double_quotes;
format_settings.values.interpret_expressions = settings.input_format_values_interpret_expressions; format_settings.values.interpret_expressions = settings.input_format_values_interpret_expressions;
format_settings.with_names_use_header = settings.input_format_with_names_use_header;
format_settings.skip_unknown_fields = settings.input_format_skip_unknown_fields; format_settings.skip_unknown_fields = settings.input_format_skip_unknown_fields;
format_settings.import_nested_json = settings.input_format_import_nested_json; format_settings.import_nested_json = settings.input_format_import_nested_json;
format_settings.date_time_input_format = settings.date_time_input_format; format_settings.date_time_input_format = settings.date_time_input_format;

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@ -48,6 +48,7 @@ struct FormatSettings
Values values; Values values;
bool skip_unknown_fields = false; bool skip_unknown_fields = false;
bool with_names_use_header = false;
bool write_statistics = true; bool write_statistics = true;
bool import_nested_json = false; bool import_nested_json = false;

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@ -1,3 +1,5 @@
#include <string>
#include <Core/Defines.h> #include <Core/Defines.h>
#include <IO/ReadHelpers.h> #include <IO/ReadHelpers.h>
@ -20,49 +22,17 @@ namespace ErrorCodes
} }
TabSeparatedRowInputStream::TabSeparatedRowInputStream( static void skipTSVRow(ReadBuffer & istr, const size_t num_columns)
ReadBuffer & istr_, const Block & header_, bool with_names_, bool with_types_, const FormatSettings & format_settings)
: istr(istr_), header(header_), with_names(with_names_), with_types(with_types_), format_settings(format_settings)
{ {
size_t num_columns = header.columns(); NullSink null_sink;
data_types.resize(num_columns);
for (size_t i = 0; i < num_columns; ++i)
data_types[i] = header.safeGetByPosition(i).type;
}
void TabSeparatedRowInputStream::readPrefix()
{
size_t num_columns = header.columns();
String tmp;
if (with_names || with_types)
{
/// In this format, we assume that column name or type cannot contain BOM,
/// so, if format has header,
/// then BOM at beginning of stream cannot be confused with name or type of field, and it is safe to skip it.
skipBOMIfExists(istr);
}
if (with_names)
{
for (size_t i = 0; i < num_columns; ++i) for (size_t i = 0; i < num_columns; ++i)
{ {
readEscapedString(tmp, istr); readEscapedStringInto(null_sink, istr);
assertChar(i == num_columns - 1 ? '\n' : '\t', istr); assertChar(i == num_columns - 1 ? '\n' : '\t', istr);
} }
} }
if (with_types)
{
for (size_t i = 0; i < num_columns; ++i)
{
readEscapedString(tmp, istr);
assertChar(i == num_columns - 1 ? '\n' : '\t', istr);
}
}
}
/** Check for a common error case - usage of Windows line feed. /** Check for a common error case - usage of Windows line feed.
*/ */
@ -77,23 +47,154 @@ static void checkForCarriageReturn(ReadBuffer & istr)
} }
bool TabSeparatedRowInputStream::read(MutableColumns & columns, RowReadExtension &) TabSeparatedRowInputStream::TabSeparatedRowInputStream(
ReadBuffer & istr_, const Block & header_, bool with_names_, bool with_types_, const FormatSettings & format_settings)
: istr(istr_), header(header_), with_names(with_names_), with_types(with_types_), format_settings(format_settings)
{
const auto num_columns = header.columns();
data_types.resize(num_columns);
column_indexes_by_names.reserve(num_columns);
for (size_t i = 0; i < num_columns; ++i)
{
const auto & column_info = header.getByPosition(i);
data_types[i] = column_info.type;
column_indexes_by_names.emplace(column_info.name, i);
}
input_fields_with_indexes.reserve(num_columns);
read_columns.assign(num_columns, false);
}
void TabSeparatedRowInputStream::setupAllColumnsByTableSchema()
{
read_columns.assign(header.columns(), true);
input_fields_with_indexes.resize(header.columns());
for (size_t i = 0; i < input_fields_with_indexes.size(); ++i)
input_fields_with_indexes[i] = i;
}
void TabSeparatedRowInputStream::addInputColumn(const String & column_name) {
const auto column_it = column_indexes_by_names.find(column_name);
if (column_it == column_indexes_by_names.end())
{
if (format_settings.skip_unknown_fields)
{
input_fields_with_indexes.push_back(std::nullopt);
return;
}
throw Exception(
"Unknown field found in TSV header: '" + column_name + "' " +
"at position " + std::to_string(input_fields_with_indexes.size()) +
"\nSet the 'input_format_skip_unknown_fields' parameter explicitly to ignore and proceed",
ErrorCodes::INCORRECT_DATA
);
}
const auto column_index = column_it->second;
if (read_columns[column_index])
throw Exception("Duplicate field found while parsing TSV header: " + column_name, ErrorCodes::INCORRECT_DATA);
read_columns[column_index] = true;
input_fields_with_indexes.emplace_back(column_index);
}
void TabSeparatedRowInputStream::fillUnreadColumnsWithDefaults(MutableColumns & columns, RowReadExtension & row_read_extension)
{
/// It is safe to memorize this on the first run - the format guarantees this does not change
if (unlikely(row_num == 1))
{
columns_to_fill_with_default_values.clear();
for (size_t index = 0; index < read_columns.size(); ++index)
if (read_columns[index] == 0)
columns_to_fill_with_default_values.push_back(index);
}
for (const auto column_index : columns_to_fill_with_default_values)
data_types[column_index]->insertDefaultInto(*columns[column_index]);
row_read_extension.read_columns = read_columns;
}
void TabSeparatedRowInputStream::readPrefix()
{
if (with_names || with_types)
{
/// In this format, we assume that column name or type cannot contain BOM,
/// so, if format has header,
/// then BOM at beginning of stream cannot be confused with name or type of field, and it is safe to skip it.
skipBOMIfExists(istr);
}
if (with_names)
{
if (format_settings.with_names_use_header)
{
do
{
String column_name;
readEscapedString(column_name, istr);
addInputColumn(column_name);
}
while(checkChar('\t', istr));
if (!istr.eof())
{
checkForCarriageReturn(istr);
assertChar('\n', istr);
}
}
else
{
setupAllColumnsByTableSchema();
skipTSVRow(istr, input_fields_with_indexes.size());
}
}
else
setupAllColumnsByTableSchema();
if (with_types)
{
skipTSVRow(istr, input_fields_with_indexes.size());
}
}
bool TabSeparatedRowInputStream::read(MutableColumns & columns, RowReadExtension & ext)
{ {
if (istr.eof()) if (istr.eof())
return false; return false;
updateDiagnosticInfo(); updateDiagnosticInfo();
size_t size = data_types.size(); for (size_t input_position = 0; input_position < input_fields_with_indexes.size(); ++input_position)
for (size_t i = 0; i < size; ++i)
{ {
data_types[i]->deserializeAsTextEscaped(*columns[i], istr, format_settings); const auto & column_index = input_fields_with_indexes[input_position];
if (column_index)
{
data_types[*column_index]->deserializeAsTextEscaped(*columns[*column_index], istr, format_settings);
}
else
{
NullSink null_sink;
readEscapedStringInto(null_sink, istr);
}
/// skip separators /// skip separators
if (i + 1 == size) if (input_position + 1 < input_fields_with_indexes.size())
{ {
if (!istr.eof()) assertChar('\t', istr);
}
else if (!istr.eof())
{ {
if (unlikely(row_num == 1)) if (unlikely(row_num == 1))
checkForCarriageReturn(istr); checkForCarriageReturn(istr);
@ -101,9 +202,8 @@ bool TabSeparatedRowInputStream::read(MutableColumns & columns, RowReadExtension
assertChar('\n', istr); assertChar('\n', istr);
} }
} }
else
assertChar('\t', istr); fillUnreadColumnsWithDefaults(columns, ext);
}
return true; return true;
} }
@ -135,7 +235,7 @@ String TabSeparatedRowInputStream::getDiagnosticInfo()
if (header.safeGetByPosition(i).type->getName().size() > max_length_of_data_type_name) if (header.safeGetByPosition(i).type->getName().size() > max_length_of_data_type_name)
max_length_of_data_type_name = header.safeGetByPosition(i).type->getName().size(); max_length_of_data_type_name = header.safeGetByPosition(i).type->getName().size();
/// Roll back the cursor to the beginning of the previous or current line and pars all over again. But now we derive detailed information. /// Roll back the cursor to the beginning of the previous or current line and parse all over again. But now we derive detailed information.
if (pos_of_prev_row) if (pos_of_prev_row)
{ {
@ -173,25 +273,29 @@ String TabSeparatedRowInputStream::getDiagnosticInfo()
bool OPTIMIZE(1) TabSeparatedRowInputStream::parseRowAndPrintDiagnosticInfo( bool OPTIMIZE(1) TabSeparatedRowInputStream::parseRowAndPrintDiagnosticInfo(
MutableColumns & columns, WriteBuffer & out, size_t max_length_of_column_name, size_t max_length_of_data_type_name) MutableColumns & columns, WriteBuffer & out, size_t max_length_of_column_name, size_t max_length_of_data_type_name)
{ {
size_t size = data_types.size(); for (size_t input_position = 0; input_position < input_fields_with_indexes.size(); ++input_position)
for (size_t i = 0; i < size; ++i)
{ {
if (i == 0 && istr.eof()) if (input_position == 0 && istr.eof())
{ {
out << "<End of stream>\n"; out << "<End of stream>\n";
return false; return false;
} }
out << "Column " << i << ", " << std::string((i < 10 ? 2 : i < 100 ? 1 : 0), ' ') if (input_fields_with_indexes[input_position].has_value())
<< "name: " << header.safeGetByPosition(i).name << ", " << std::string(max_length_of_column_name - header.safeGetByPosition(i).name.size(), ' ') {
<< "type: " << data_types[i]->getName() << ", " << std::string(max_length_of_data_type_name - data_types[i]->getName().size(), ' '); const auto & column_index = *input_fields_with_indexes[input_position];
const auto & current_column_type = data_types[column_index];
out << "Column " << input_position << ", " << std::string((input_position < 10 ? 2 : input_position < 100 ? 1 : 0), ' ')
<< "name: " << header.safeGetByPosition(column_index).name << ", " << std::string(max_length_of_column_name - header.safeGetByPosition(column_index).name.size(), ' ')
<< "type: " << current_column_type->getName() << ", " << std::string(max_length_of_data_type_name - current_column_type->getName().size(), ' ');
auto prev_position = istr.position(); auto prev_position = istr.position();
std::exception_ptr exception; std::exception_ptr exception;
try try
{ {
data_types[i]->deserializeAsTextEscaped(*columns[i], istr, format_settings); current_column_type->deserializeAsTextEscaped(*columns[column_index], istr, format_settings);
} }
catch (...) catch (...)
{ {
@ -203,14 +307,14 @@ bool OPTIMIZE(1) TabSeparatedRowInputStream::parseRowAndPrintDiagnosticInfo(
if (curr_position < prev_position) if (curr_position < prev_position)
throw Exception("Logical error: parsing is non-deterministic.", ErrorCodes::LOGICAL_ERROR); throw Exception("Logical error: parsing is non-deterministic.", ErrorCodes::LOGICAL_ERROR);
if (isNumber(data_types[i]) || isDateOrDateTime(data_types[i])) if (isNumber(current_column_type) || isDateOrDateTime(current_column_type))
{ {
/// An empty string instead of a value. /// An empty string instead of a value.
if (curr_position == prev_position) if (curr_position == prev_position)
{ {
out << "ERROR: text "; out << "ERROR: text ";
verbosePrintString(prev_position, std::min(prev_position + 10, istr.buffer().end()), out); verbosePrintString(prev_position, std::min(prev_position + 10, istr.buffer().end()), out);
out << " is not like " << data_types[i]->getName() << "\n"; out << " is not like " << current_column_type->getName() << "\n";
return false; return false;
} }
} }
@ -220,9 +324,9 @@ bool OPTIMIZE(1) TabSeparatedRowInputStream::parseRowAndPrintDiagnosticInfo(
if (exception) if (exception)
{ {
if (data_types[i]->getName() == "DateTime") if (current_column_type->getName() == "DateTime")
out << "ERROR: DateTime must be in YYYY-MM-DD hh:mm:ss or NNNNNNNNNN (unix timestamp, exactly 10 digits) format.\n"; out << "ERROR: DateTime must be in YYYY-MM-DD hh:mm:ss or NNNNNNNNNN (unix timestamp, exactly 10 digits) format.\n";
else if (data_types[i]->getName() == "Date") else if (current_column_type->getName() == "Date")
out << "ERROR: Date must be in YYYY-MM-DD format.\n"; out << "ERROR: Date must be in YYYY-MM-DD format.\n";
else else
out << "ERROR\n"; out << "ERROR\n";
@ -231,25 +335,36 @@ bool OPTIMIZE(1) TabSeparatedRowInputStream::parseRowAndPrintDiagnosticInfo(
out << "\n"; out << "\n";
if (data_types[i]->haveMaximumSizeOfValue()) if (current_column_type->haveMaximumSizeOfValue())
{ {
if (*curr_position != '\n' && *curr_position != '\t') if (*curr_position != '\n' && *curr_position != '\t')
{ {
out << "ERROR: garbage after " << data_types[i]->getName() << ": "; out << "ERROR: garbage after " << current_column_type->getName() << ": ";
verbosePrintString(curr_position, std::min(curr_position + 10, istr.buffer().end()), out); verbosePrintString(curr_position, std::min(curr_position + 10, istr.buffer().end()), out);
out << "\n"; out << "\n";
if (data_types[i]->getName() == "DateTime") if (current_column_type->getName() == "DateTime")
out << "ERROR: DateTime must be in YYYY-MM-DD hh:mm:ss or NNNNNNNNNN (unix timestamp, exactly 10 digits) format.\n"; out << "ERROR: DateTime must be in YYYY-MM-DD hh:mm:ss or NNNNNNNNNN (unix timestamp, exactly 10 digits) format.\n";
else if (data_types[i]->getName() == "Date") else if (current_column_type->getName() == "Date")
out << "ERROR: Date must be in YYYY-MM-DD format.\n"; out << "ERROR: Date must be in YYYY-MM-DD format.\n";
return false; return false;
} }
} }
}
else
{
static const String skipped_column_str = "<SKIPPED COLUMN>";
out << "Column " << input_position << ", " << std::string((input_position < 10 ? 2 : input_position < 100 ? 1 : 0), ' ')
<< "name: " << skipped_column_str << ", " << std::string(max_length_of_column_name - skipped_column_str.length(), ' ')
<< "type: " << skipped_column_str << ", " << std::string(max_length_of_data_type_name - skipped_column_str.length(), ' ');
NullSink null_sink;
readEscapedStringInto(null_sink, istr);
}
/// Delimiters /// Delimiters
if (i + 1 == size) if (input_position + 1 == input_fields_with_indexes.size())
{ {
if (!istr.eof()) if (!istr.eof())
{ {

View File

@ -1,5 +1,8 @@
#pragma once #pragma once
#include <optional>
#include <unordered_map>
#include <Core/Block.h> #include <Core/Block.h>
#include <Formats/FormatSettings.h> #include <Formats/FormatSettings.h>
#include <Formats/IRowInputStream.h> #include <Formats/IRowInputStream.h>
@ -22,7 +25,7 @@ public:
TabSeparatedRowInputStream( TabSeparatedRowInputStream(
ReadBuffer & istr_, const Block & header_, bool with_names_, bool with_types_, const FormatSettings & format_settings); ReadBuffer & istr_, const Block & header_, bool with_names_, bool with_types_, const FormatSettings & format_settings);
bool read(MutableColumns & columns, RowReadExtension &) override; bool read(MutableColumns & columns, RowReadExtension & ext) override;
void readPrefix() override; void readPrefix() override;
bool allowSyncAfterError() const override { return true; } bool allowSyncAfterError() const override { return true; }
void syncAfterError() override; void syncAfterError() override;
@ -37,6 +40,19 @@ private:
const FormatSettings format_settings; const FormatSettings format_settings;
DataTypes data_types; DataTypes data_types;
using IndexesMap = std::unordered_map<String, size_t>;
IndexesMap column_indexes_by_names;
using OptionalIndexes = std::vector<std::optional<size_t>>;
OptionalIndexes input_fields_with_indexes;
std::vector<UInt8> read_columns;
std::vector<size_t> columns_to_fill_with_default_values;
void addInputColumn(const String & column_name);
void setupAllColumnsByTableSchema();
void fillUnreadColumnsWithDefaults(MutableColumns & columns, RowReadExtension& ext);
/// For convenient diagnostics in case of an error. /// For convenient diagnostics in case of an error.
size_t row_num = 0; size_t row_num = 0;

View File

@ -0,0 +1,21 @@
2019-04-18 42 Line1
2019-04-18 42 Line2
2019-04-18 42 Line3
2019-04-18 42 Line4
2019-04-18 42 Line5
2019-04-18 42 Line6
2019-04-18 42 Line7
2019-04-18 42 Line8
2019-04-18 42 Line9
2019-04-18 1 Line10
2019-04-18 2 Line11
2019-04-18 1 Line12
2019-04-18 2 Line13
2019-04-18 1
2019-04-18 2
0000-00-00 1 Line16
0000-00-00 2 Line17
2019-04-18 0 Line18
2019-04-18 0 Line19
0000-00-00 0
0000-00-00 0

View File

@ -0,0 +1,38 @@
#!/usr/bin/env bash
#CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
#. $CURDIR/../shell_config.sh
CLICKHOUSE_CLIENT=./clickhouse-client
$CLICKHOUSE_CLIENT --query="DROP TABLE IF EXISTS test.csv"
$CLICKHOUSE_CLIENT --query="CREATE TABLE test.csv (d Date, u UInt8, str String) ENGINE = TinyLog"
INSERT_QUERY='$CLICKHOUSE_CLIENT --query="INSERT INTO test.csv FORMAT CSVWithNames"'
USE_HEADER='--input_format_with_names_use_header=1'
SKIP_UNKNOWN='--input_format_skip_unknown_fields=1'
# - Simple check for parsing
echo -ne 'd,u,str\n2019-04-18,42,Line1\n2019-04-18,42,Line2' | eval $INSERT_QUERY
echo -ne 'd,u,str\n2019-04-18,42,Line3\n2019-04-18,42,Line4' | eval $INSERT_QUERY $USE_HEADER
echo -ne 'd,u,str\n2019-04-18,42,Line5\n2019-04-18,42,Line6' | eval $INSERT_QUERY $USE_HEADER $SKIP_UNKNOWN
# - Check random order of fields
echo -ne 'u,d,str\n42,2019-04-18,Line7\n' | eval $INSERT_QUERY $USE_HEADER
echo -ne 'u,str,d\n42,Line8,2019-04-18\n' | eval $INSERT_QUERY $USE_HEADER
echo -ne 'str,u,d\nLine9,42,2019-04-18\n' | eval $INSERT_QUERY $USE_HEADER
# - Check excessive fields
echo -ne 'd,u,str,more,unknown,fields\n2019-04-18,1,Line10,,,\n2019-04-18,2,Line11,,,\n' \
| eval $INSERT_QUERY $USE_HEADER $SKIP_UNKNOWN
echo -ne 'd,unknown,str,more,u,fields\n2019-04-18,blahblah,Line12,,1,\n2019-04-18,,Line13,blahblah,2,\n' \
| eval $INSERT_QUERY $USE_HEADER $SKIP_UNKNOWN
# - Check missing fields (defaults)
echo -ne 'd,u\n2019-04-18,1\n2019-04-18,2\n' | eval $INSERT_QUERY $USE_HEADER
echo -ne 'str,u\nLine16,1\nLine17,2\n' | eval $INSERT_QUERY $USE_HEADER
echo -ne 'd,str\n2019-04-18,Line18\n2019-04-18,Line19\n'| eval $INSERT_QUERY $USE_HEADER
echo -ne 'unknown\n\n\n' | eval $INSERT_QUERY $USE_HEADER $SKIP_UNKNOWN
$CLICKHOUSE_CLIENT --query="SELECT * FROM test.csv"
$CLICKHOUSE_CLIENT --query="DROP TABLE IF EXISTS test.csv"

View File

@ -0,0 +1,21 @@
2019-04-18 42 Line1
2019-04-18 42 Line2
2019-04-18 42 Line3
2019-04-18 42 Line4
2019-04-18 42 Line5
2019-04-18 42 Line6
2019-04-18 42 Line7
2019-04-18 42 Line8
2019-04-18 42 Line9
2019-04-18 1 Line10
2019-04-18 2 Line11
2019-04-18 1 Line12
2019-04-18 2 Line13
2019-04-18 1
2019-04-18 2
0000-00-00 1 Line16
0000-00-00 2 Line17
2019-04-18 0 Line18
2019-04-18 0 Line19
0000-00-00 0
0000-00-00 0

View File

@ -0,0 +1,38 @@
#!/usr/bin/env bash
#CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
#. $CURDIR/../shell_config.sh
CLICKHOUSE_CLIENT=./clickhouse-client
$CLICKHOUSE_CLIENT --query="DROP TABLE IF EXISTS test.tsv"
$CLICKHOUSE_CLIENT --query="CREATE TABLE test.tsv (d Date, u UInt8, str String) ENGINE = TinyLog"
INSERT_QUERY='$CLICKHOUSE_CLIENT --query="INSERT INTO test.tsv FORMAT TSVWithNames"'
USE_HEADER='--input_format_with_names_use_header=1'
SKIP_UNKNOWN='--input_format_skip_unknown_fields=1'
# - Simple check for parsing
echo -ne 'd\tu\tstr\n2019-04-18\t42\tLine1\n2019-04-18\t42\tLine2' | eval $INSERT_QUERY
echo -ne 'd\tu\tstr\n2019-04-18\t42\tLine3\n2019-04-18\t42\tLine4' | eval $INSERT_QUERY $USE_HEADER
echo -ne 'd\tu\tstr\n2019-04-18\t42\tLine5\n2019-04-18\t42\tLine6' | eval $INSERT_QUERY $USE_HEADER $SKIP_UNKNOWN
# - Check random order of fields
echo -ne 'u\td\tstr\n42\t2019-04-18\tLine7\n' | eval $INSERT_QUERY $USE_HEADER
echo -ne 'u\tstr\td\n42\tLine8\t2019-04-18\n' | eval $INSERT_QUERY $USE_HEADER
echo -ne 'str\tu\td\nLine9\t42\t2019-04-18\n' | eval $INSERT_QUERY $USE_HEADER
# - Check excessive fields
echo -ne 'd\tu\tstr\tmore\tunknown\tfields\n2019-04-18\t1\tLine10\t\t\t\n2019-04-18\t2\tLine11\t\t\t\n' \
| eval $INSERT_QUERY $USE_HEADER $SKIP_UNKNOWN
echo -ne 'd\tunknown\tstr\tmore\tu\tfields\n2019-04-18\tblahblah\tLine12\t\t1\t\n2019-04-18\t\tLine13\tblahblah\t2\t\n' \
| eval $INSERT_QUERY $USE_HEADER $SKIP_UNKNOWN
# - Check missing fields (defaults)
echo -ne 'd\tu\n2019-04-18\t1\n2019-04-18\t2\n' | eval $INSERT_QUERY $USE_HEADER
echo -ne 'str\tu\nLine16\t1\nLine17\t2\n' | eval $INSERT_QUERY $USE_HEADER
echo -ne 'd\tstr\n2019-04-18\tLine18\n2019-04-18\tLine19\n'| eval $INSERT_QUERY $USE_HEADER
echo -ne 'unknown\n\n\n' | eval $INSERT_QUERY $USE_HEADER $SKIP_UNKNOWN
$CLICKHOUSE_CLIENT --query="SELECT * FROM test.tsv"
$CLICKHOUSE_CLIENT --query="DROP TABLE IF EXISTS test.tsv"