mirror of
https://github.com/hanzoai/datastore.git
synced 2026-09-26 13:55:07 +00:00
Raúl Marín
064130bb36
Most performance tests already disable JIT via `compile_expressions=0`, `compile_aggregate_expressions=0` and `compile_sort_description=0` in `perf-comparison-tweaks-users.xml`. Tests that explicitly opt back into JIT were still bimodal: the JIT cache is global and shared across queries, so whether the first measured runs hit it or not depends on what ran before. Set `min_count_to_compile_expression`, `min_count_to_compile_aggregate_expression` and `min_count_to_compile_sort_description` to 0 in the same profile so that when a test does enable JIT, compilation happens on the very first call and the existing prewarm run populates the cache before measurements start. Drop now-redundant per-test overrides of the same settings.
297 lines
7.8 KiB
XML
297 lines
7.8 KiB
XML
<test>
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<settings>
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<compile_aggregate_expressions>1</compile_aggregate_expressions>
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</settings>
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<create_query>
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CREATE TABLE jit_test_memory (
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key UInt64,
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value_1 UInt64,
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value_2 UInt64,
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value_3 UInt64,
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value_4 UInt64,
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value_5 UInt64,
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predicate UInt8
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) Engine = Memory
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</create_query>
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<create_query>
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CREATE TABLE jit_test_merge_tree (
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key UInt64,
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value_1 UInt64,
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value_2 UInt64,
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value_3 UInt64,
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value_4 UInt64,
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value_5 UInt64,
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predicate UInt8
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) Engine = MergeTree
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ORDER BY key
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</create_query>
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<create_query>
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CREATE TABLE jit_test_memory_nullable (
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key UInt64,
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value_1 Nullable(UInt64),
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value_2 Nullable(UInt64),
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value_3 Nullable(UInt64),
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value_4 Nullable(UInt64),
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value_5 Nullable(UInt64),
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predicate UInt8
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) Engine = Memory
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</create_query>
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<create_query>
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CREATE TABLE jit_test_merge_tree_nullable (
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key UInt64,
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value_1 Nullable(UInt64),
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value_2 Nullable(UInt64),
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value_3 Nullable(UInt64),
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value_4 Nullable(UInt64),
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value_5 Nullable(UInt64),
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predicate UInt8
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) Engine = MergeTree
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ORDER BY key
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</create_query>
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<substitutions>
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<substitution>
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<name>function</name>
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<values>
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<value>sum</value>
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<value>min</value>
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<value>max</value>
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<value>avg</value>
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<value>any</value>
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<value>anyLast</value>
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<value>count</value>
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<value>groupBitOr</value>
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<value>groupBitAnd</value>
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<value>groupBitXor</value>
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</values>
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</substitution>
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<substitution>
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<name>table</name>
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<values>
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<value>jit_test_memory</value>
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<value>jit_test_merge_tree</value>
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<value>jit_test_memory_nullable</value>
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<value>jit_test_merge_tree_nullable</value>
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</values>
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</substitution>
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<substitution>
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<name>group_scale</name>
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<values>
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<value>1000000</value>
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</values>
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</substitution>
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</substitutions>
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<fill_query>
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INSERT INTO {table}
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SELECT
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number % 1000000,
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number,
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number,
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number,
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number,
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number,
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if (number % 2 == 0, 1, 0)
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FROM
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system.numbers_mt
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LIMIT 10000000
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</fill_query>
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<query>
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SELECT
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{function}(value_1),
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{function}(value_2),
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{function}(value_3)
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FROM {table}
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GROUP BY key
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(value_1),
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{function}(value_2),
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sum(toUInt256(value_3)),
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{function}(value_3)
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FROM {table}
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GROUP BY key
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}If(value_1, predicate),
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{function}If(value_2, predicate),
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{function}If(value_3, predicate)
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FROM {table}
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GROUP BY key
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}If(value_1, predicate),
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{function}If(value_2, predicate),
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sumIf(toUInt256(value_3), predicate),
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{function}If(value_3, predicate)
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FROM {table}
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GROUP BY key
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(value_1),
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{function}(value_2),
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{function}(value_3),
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{function}(value_4),
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{function}(value_5)
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FROM {table}
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GROUP BY key
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(value_1),
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{function}(value_2),
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sum(toUInt256(value_3)),
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{function}(value_3),
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{function}(value_4),
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{function}(value_5)
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FROM {table}
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GROUP BY key
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}If(value_1, predicate),
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{function}If(value_2, predicate),
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{function}If(value_3, predicate),
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{function}If(value_4, predicate),
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{function}If(value_5, predicate)
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FROM {table}
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GROUP BY key
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}If(value_1, predicate),
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{function}If(value_2, predicate),
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sumIf(toUInt256(value_3), predicate),
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{function}If(value_3, predicate),
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{function}If(value_4, predicate),
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{function}If(value_5, predicate)
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FROM {table}
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GROUP BY key
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(WatchID),
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{function}(CounterID),
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{function}(ClientIP)
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FROM hits_100m_single
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GROUP BY intHash32(UserID) % {group_scale}
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(WatchID),
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{function}(CounterID),
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sum(toUInt256(ClientIP)),
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{function}(ClientIP)
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FROM hits_100m_single
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GROUP BY intHash32(UserID) % {group_scale}
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(WatchID),
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{function}(CounterID),
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{function}(ClientIP),
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{function}(IPNetworkID),
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{function}(SearchEngineID)
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FROM hits_100m_single
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GROUP BY intHash32(UserID) % {group_scale}
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FORMAT Null
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</query>
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<query>
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SELECT
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{function}(WatchID),
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{function}(CounterID),
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sum(toUInt256(ClientIP)),
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{function}(ClientIP),
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{function}(IPNetworkID),
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{function}(SearchEngineID)
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FROM hits_100m_single
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GROUP BY intHash32(UserID) % {group_scale}
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FORMAT Null
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</query>
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<query>
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WITH (WatchID % 2 == 0) AS predicate
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SELECT
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{function}If(WatchID, predicate),
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{function}If(CounterID, predicate),
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{function}If(ClientIP, predicate)
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FROM hits_100m_single
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GROUP BY intHash32(UserID) % {group_scale}
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FORMAT Null
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</query>
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<query>
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WITH (WatchID % 2 == 0) AS predicate
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SELECT
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{function}If(WatchID, predicate),
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{function}If(CounterID, predicate),
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sumIf(toUInt256(ClientIP), predicate),
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{function}If(ClientIP, predicate)
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FROM hits_100m_single
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GROUP BY intHash32(UserID) % {group_scale}
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FORMAT Null
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</query>
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<query>
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WITH (WatchID % 2 == 0) AS predicate
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SELECT
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{function}If(WatchID, predicate),
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{function}If(CounterID, predicate),
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{function}If(ClientIP, predicate),
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{function}If(IPNetworkID, predicate),
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{function}If(SearchEngineID, predicate)
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FROM hits_100m_single
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GROUP BY intHash32(UserID) % {group_scale}
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FORMAT Null
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</query>
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<query>
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WITH (WatchID % 2 == 0) AS predicate
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SELECT
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{function}If(WatchID, predicate),
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{function}If(CounterID, predicate),
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sumIf(toUInt256(ClientIP), predicate),
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{function}If(ClientIP, predicate),
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{function}If(IPNetworkID, predicate),
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{function}If(SearchEngineID, predicate)
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FROM hits_100m_single
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GROUP BY intHash32(UserID) % {group_scale}
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FORMAT Null
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</query>
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<drop_query>DROP TABLE IF EXISTS {table}</drop_query>
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</test>
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