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59 lines
2.2 KiB
XML
59 lines
2.2 KiB
XML
<test>
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<settings>
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<allow_experimental_analyzer>1</allow_experimental_analyzer>
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<prefer_localhost_replica>0</prefer_localhost_replica>
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<prefer_global_in_and_join>1</prefer_global_in_and_join>
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<distributed_product_mode>global</distributed_product_mode>
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<max_rows_to_read>1000000000000</max_rows_to_read>
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<read_overflow_mode>break</read_overflow_mode>
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<max_threads>1</max_threads>
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</settings>
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<!-- two distributed tables that point to system.numbers on every shard -->
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<create_query>
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create table local_table_1 (id int) engine = MergeTree order by id
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</create_query>
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<create_query>
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create table local_table_2 (id int) engine = MergeTree order by id
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</create_query>
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<create_query>
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create table distributed_table_1 (id int) engine = Distributed(test_cluster_two_shard_three_replicas_localhost, currentDatabase(), local_table_1)
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</create_query>
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<create_query>
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create table distributed_table_2 (id int) engine = Distributed(test_cluster_two_shard_three_replicas_localhost, currentDatabase(), local_table_2)
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</create_query>
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<fill_query>
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insert into local_table_1 select number from numbers(100000000)
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</fill_query>
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<fill_query>
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insert into local_table_2 select 1 from numbers(100000000)
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</fill_query>
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<fill_query>
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insert into local_table_2 select 2 from numbers(100000000);
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</fill_query>
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<fill_query>
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insert into local_table_2 select 3 from numbers(100000000);
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</fill_query>
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<!-- 1. optimisation OFF -->
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<query>
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select id from distributed_table_1 where id in (select id from distributed_table_2) settings enable_add_distinct_to_in_subqueries = 0
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</query>
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<!-- 2. optimisation ON -->
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<query>
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select id from distributed_table_1 where id in (select id from distributed_table_2) settings enable_add_distinct_to_in_subqueries = 1
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</query>
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<drop_query>DROP TABLE IF EXISTS distributed_table_1</drop_query>
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<drop_query>DROP TABLE IF EXISTS distributed_table_2</drop_query>
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<drop_query>DROP TABLE IF EXISTS local_table_1</drop_query>
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<drop_query>DROP TABLE IF EXISTS local_table_2</drop_query>
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</test> |