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Allow using Alias column type for KafkaEngine
``` create table kafka ( a UInt32, a_str String Alias toString(a) ) engine = Kafka; create table data ( a UInt32; a_str String ) engine = MergeTree order by tuple(); create materialized view data_mv to data ( a UInt32, a_str String ) as select a, a_str from kafka; ``` Alias type works as expected in comparison with MATERIALIZED/EPHEMERAL or column with default expression. Ref: https://github.com/ClickHouse/ClickHouse/pull/47138 Co-authored-by: Azat Khuzhin <a3at.mail@gmail.com>
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@ -19,8 +19,8 @@ Kafka lets you:
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``` sql
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CREATE TABLE [IF NOT EXISTS] [db.]table_name [ON CLUSTER cluster]
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(
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name1 [type1],
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name2 [type2],
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name1 [type1] [ALIAS expr1],
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name2 [type2] [ALIAS expr2],
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...
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) ENGINE = Kafka()
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SETTINGS
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@ -383,15 +383,6 @@ NamesAndTypesList ColumnsDescription::getEphemeral() const
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return ret;
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}
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NamesAndTypesList ColumnsDescription::getWithDefaultExpression() const
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{
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NamesAndTypesList ret;
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for (const auto & col : columns)
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if (col.default_desc.expression)
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ret.emplace_back(col.name, col.type);
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return ret;
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}
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NamesAndTypesList ColumnsDescription::getAll() const
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{
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NamesAndTypesList ret;
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@ -132,7 +132,6 @@ public:
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NamesAndTypesList getInsertable() const; /// ordinary + ephemeral
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NamesAndTypesList getAliases() const;
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NamesAndTypesList getEphemeral() const;
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NamesAndTypesList getWithDefaultExpression() const; // columns with default expression, for example set by `CREATE TABLE` statement
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NamesAndTypesList getAllPhysical() const; /// ordinary + materialized.
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NamesAndTypesList getAll() const; /// ordinary + materialized + aliases + ephemeral
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/// Returns .size0/.null/...
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@ -41,6 +41,7 @@
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#include <Common/setThreadName.h>
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#include <Formats/FormatFactory.h>
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#include "Storages/ColumnDefault.h"
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#include "config_version.h"
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#include <Common/CurrentMetrics.h>
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@ -966,9 +967,18 @@ void registerStorageKafka(StorageFactory & factory)
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{
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throw Exception(ErrorCodes::BAD_ARGUMENTS, "kafka_poll_max_batch_size can not be lower than 1");
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}
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if (args.columns.getOrdinary() != args.columns.getAll() || !args.columns.getWithDefaultExpression().empty())
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NamesAndTypesList supported_columns;
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for (const auto & column : args.columns)
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{
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throw Exception(ErrorCodes::BAD_ARGUMENTS, "KafkaEngine doesn't support DEFAULT/MATERIALIZED/EPHEMERAL/ALIAS expressions for columns. "
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if (column.default_desc.kind == ColumnDefaultKind::Alias)
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supported_columns.emplace_back(column.name, column.type);
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if (column.default_desc.kind == ColumnDefaultKind::Default && !column.default_desc.expression)
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supported_columns.emplace_back(column.name, column.type);
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}
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// Kafka engine allows only ordinary columns without default expression or alias columns.
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if (args.columns.getAll() != supported_columns)
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{
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throw Exception(ErrorCodes::BAD_ARGUMENTS, "KafkaEngine doesn't support DEFAULT/MATERIALIZED/EPHEMERAL expressions for columns. "
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"See https://clickhouse.com/docs/en/engines/table-engines/integrations/kafka/#configuration");
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}
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@ -285,11 +285,11 @@ def avro_confluent_message(schema_registry_client, value):
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# Tests
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def test_kafka_prohibited_column_types(kafka_cluster):
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def test_kafka_column_types(kafka_cluster):
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def assert_returned_exception(e):
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assert e.value.returncode == 36
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assert (
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"KafkaEngine doesn't support DEFAULT/MATERIALIZED/EPHEMERAL/ALIAS expressions for columns."
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"KafkaEngine doesn't support DEFAULT/MATERIALIZED/EPHEMERAL expressions for columns."
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in str(e.value)
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)
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@ -314,17 +314,39 @@ def test_kafka_prohibited_column_types(kafka_cluster):
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assert_returned_exception(exception)
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# check ALIAS
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with pytest.raises(QueryRuntimeException) as exception:
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instance.query(
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"""
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CREATE TABLE test.kafka (a Int, b String Alias toString(a))
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ENGINE = Kafka('{kafka_broker}:19092', '{kafka_topic_new}', '{kafka_group_name_new}', '{kafka_format_json_each_row}', '\\n')
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SETTINGS kafka_commit_on_select = 1;
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"""
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)
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assert_returned_exception(exception)
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messages = []
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for i in range(5):
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messages.append(json.dumps({"a": i}))
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kafka_produce(kafka_cluster, "new", messages)
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result = ""
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expected = TSV(
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"""
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0\t0
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1\t1
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2\t2
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3\t3
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4\t4
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"""
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)
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retries = 50
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while retries > 0:
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result += instance.query("SELECT a, b FROM test.kafka", ignore_error=True)
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if TSV(result) == expected:
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break
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retries -= 1
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assert TSV(result) == expected
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instance.query("DROP TABLE test.kafka SYNC")
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# check MATERIALIZED
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# check ALIAS
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with pytest.raises(QueryRuntimeException) as exception:
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instance.query(
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"""
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