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195 lines
7.6 KiB
C++
195 lines
7.6 KiB
C++
#include <Interpreters/InterpreterInsertQuery.h>
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#include <DataStreams/AddingDefaultBlockOutputStream.h>
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#include <DataStreams/AddingDefaultsBlockInputStream.h>
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#include <DataStreams/CheckConstraintsBlockOutputStream.h>
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#include <DataStreams/ConvertingBlockInputStream.h>
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#include <DataStreams/CountingBlockOutputStream.h>
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#include <DataStreams/InputStreamFromASTInsertQuery.h>
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#include <DataStreams/NullAndDoCopyBlockInputStream.h>
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#include <DataStreams/OwningBlockInputStream.h>
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#include <DataStreams/PushingToViewsBlockOutputStream.h>
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#include <DataStreams/SquashingBlockOutputStream.h>
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#include <DataStreams/copyData.h>
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#include <IO/ConcatReadBuffer.h>
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#include <IO/ReadBufferFromMemory.h>
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#include <Interpreters/InterpreterSelectWithUnionQuery.h>
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#include <Parsers/ASTFunction.h>
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#include <Parsers/ASTInsertQuery.h>
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#include <Parsers/ASTSelectWithUnionQuery.h>
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#include <Storages/Kafka/StorageKafka.h>
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#include <TableFunctions/TableFunctionFactory.h>
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#include <Common/checkStackSize.h>
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int NO_SUCH_COLUMN_IN_TABLE;
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extern const int READONLY;
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extern const int ILLEGAL_COLUMN;
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extern const int DUPLICATE_COLUMN;
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}
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InterpreterInsertQuery::InterpreterInsertQuery(
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const ASTPtr & query_ptr_, const Context & context_, bool allow_materialized_, bool no_squash_, bool no_destination_)
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: query_ptr(query_ptr_)
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, context(context_)
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, allow_materialized(allow_materialized_)
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, no_squash(no_squash_)
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, no_destination(no_destination_)
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{
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checkStackSize();
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}
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StoragePtr InterpreterInsertQuery::getTable(const ASTInsertQuery & query)
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{
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if (query.table_function)
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{
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const auto * table_function = query.table_function->as<ASTFunction>();
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const auto & factory = TableFunctionFactory::instance();
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TableFunctionPtr table_function_ptr = factory.get(table_function->name, context);
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return table_function_ptr->execute(query.table_function, context, table_function_ptr->getName());
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}
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/// Into what table to write.
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return context.getTable(query.database, query.table);
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}
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Block InterpreterInsertQuery::getSampleBlock(const ASTInsertQuery & query, const StoragePtr & table)
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{
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Block table_sample_non_materialized = table->getSampleBlockNonMaterialized();
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/// If the query does not include information about columns
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if (!query.columns)
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{
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if (no_destination)
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return table->getSampleBlockWithVirtuals();
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else
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return table_sample_non_materialized;
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}
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Block table_sample = table->getSampleBlock();
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/// Form the block based on the column names from the query
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Block res;
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for (const auto & identifier : query.columns->children)
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{
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std::string current_name = identifier->getColumnName();
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/// The table does not have a column with that name
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if (!table_sample.has(current_name))
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throw Exception("No such column " + current_name + " in table " + query.table, ErrorCodes::NO_SUCH_COLUMN_IN_TABLE);
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if (!allow_materialized && !table_sample_non_materialized.has(current_name))
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throw Exception("Cannot insert column " + current_name + ", because it is MATERIALIZED column.", ErrorCodes::ILLEGAL_COLUMN);
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if (res.has(current_name))
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throw Exception("Column " + current_name + " specified more than once", ErrorCodes::DUPLICATE_COLUMN);
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res.insert(ColumnWithTypeAndName(table_sample.getByName(current_name).type, current_name));
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}
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return res;
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}
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BlockIO InterpreterInsertQuery::execute()
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{
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const auto & query = query_ptr->as<ASTInsertQuery &>();
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checkAccess(query);
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StoragePtr table = getTable(query);
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auto table_lock = table->lockStructureForShare(true, context.getInitialQueryId());
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/// We create a pipeline of several streams, into which we will write data.
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BlockOutputStreamPtr out;
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/// NOTE: we explicitly ignore bound materialized views when inserting into Kafka Storage.
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/// Otherwise we'll get duplicates when MV reads same rows again from Kafka.
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if (table->noPushingToViews() && !no_destination)
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out = table->write(query_ptr, context);
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else
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out = std::make_shared<PushingToViewsBlockOutputStream>(query.database, query.table, table, context, query_ptr, no_destination);
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/// Do not squash blocks if it is a sync INSERT into Distributed, since it lead to double bufferization on client and server side.
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/// Client-side bufferization might cause excessive timeouts (especially in case of big blocks).
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if (!(context.getSettingsRef().insert_distributed_sync && table->isRemote()) && !no_squash)
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{
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out = std::make_shared<SquashingBlockOutputStream>(
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out, out->getHeader(), context.getSettingsRef().min_insert_block_size_rows, context.getSettingsRef().min_insert_block_size_bytes);
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}
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auto query_sample_block = getSampleBlock(query, table);
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/// Actually we don't know structure of input blocks from query/table,
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/// because some clients break insertion protocol (columns != header)
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out = std::make_shared<AddingDefaultBlockOutputStream>(
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out, query_sample_block, out->getHeader(), table->getColumns().getDefaults(), context);
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if (const auto & constraints = table->getConstraints(); !constraints.empty())
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out = std::make_shared<CheckConstraintsBlockOutputStream>(query.table,
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out, query_sample_block, table->getConstraints(), context);
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auto out_wrapper = std::make_shared<CountingBlockOutputStream>(out);
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out_wrapper->setProcessListElement(context.getProcessListElement());
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out = std::move(out_wrapper);
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BlockIO res;
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/// What type of query: INSERT or INSERT SELECT?
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if (query.select)
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{
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/// Passing 1 as subquery_depth will disable limiting size of intermediate result.
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InterpreterSelectWithUnionQuery interpreter_select{query.select, context, SelectQueryOptions(QueryProcessingStage::Complete, 1)};
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/// BlockIO may hold StoragePtrs to temporary tables
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res = interpreter_select.execute();
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res.out = nullptr;
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res.in = std::make_shared<ConvertingBlockInputStream>(context, res.in, out->getHeader(), ConvertingBlockInputStream::MatchColumnsMode::Position);
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res.in = std::make_shared<NullAndDoCopyBlockInputStream>(res.in, out);
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if (!allow_materialized)
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{
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Block in_header = res.in->getHeader();
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for (const auto & column : table->getColumns())
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if (column.default_desc.kind == ColumnDefaultKind::Materialized && in_header.has(column.name))
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throw Exception("Cannot insert column " + column.name + ", because it is MATERIALIZED column.", ErrorCodes::ILLEGAL_COLUMN);
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}
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}
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else if (query.data && !query.has_tail) /// can execute without additional data
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{
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res.in = std::make_shared<InputStreamFromASTInsertQuery>(query_ptr, nullptr, query_sample_block, context, nullptr);
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res.in = std::make_shared<NullAndDoCopyBlockInputStream>(res.in, out);
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}
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else
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res.out = std::move(out);
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res.pipeline.addStorageHolder(table);
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return res;
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}
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void InterpreterInsertQuery::checkAccess(const ASTInsertQuery & query)
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{
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const Settings & settings = context.getSettingsRef();
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auto readonly = settings.readonly;
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if (!readonly || (query.database.empty() && context.tryGetExternalTable(query.table) && readonly >= 2))
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{
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return;
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}
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throw Exception("Cannot insert into table in readonly mode", ErrorCodes::READONLY);
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}
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std::pair<String, String> InterpreterInsertQuery::getDatabaseTable() const
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{
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const auto & query = query_ptr->as<ASTInsertQuery &>();
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return {query.database, query.table};
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}
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}
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