2021-05-20 14:14:55 +00:00
|
|
|
<test>
|
2020-05-06 15:52:56 +00:00
|
|
|
<create_query>
|
|
|
|
CREATE TABLE hits_wide AS hits_10m_single ENGINE = MergeTree()
|
|
|
|
PARTITION BY toYYYYMM(EventDate)
|
|
|
|
ORDER BY (CounterID, EventDate, intHash32(UserID))
|
|
|
|
SAMPLE BY intHash32(UserID)
|
|
|
|
SETTINGS min_rows_for_wide_part = 0, min_bytes_for_wide_part = 0
|
|
|
|
</create_query>
|
|
|
|
<create_query>
|
|
|
|
CREATE TABLE hits_compact AS hits_10m_single ENGINE = MergeTree()
|
|
|
|
PARTITION BY toYYYYMM(EventDate)
|
|
|
|
ORDER BY (CounterID, EventDate, intHash32(UserID))
|
|
|
|
SAMPLE BY intHash32(UserID)
|
|
|
|
SETTINGS min_bytes_for_wide_part = '10M'
|
|
|
|
</create_query>
|
|
|
|
<create_query>
|
|
|
|
CREATE TABLE hits_buffer AS hits_10m_single
|
2020-07-03 06:11:46 +00:00
|
|
|
ENGINE = Buffer(default, hits_wide, 1, 0, 0, 10000, 10000, 0, 0)
|
2020-05-06 15:52:56 +00:00
|
|
|
</create_query>
|
|
|
|
|
2020-06-11 16:14:22 +00:00
|
|
|
<!-- Emulate writing many parts with 100 rows, because single insert query is too fast -->
|
|
|
|
<settings>
|
|
|
|
<max_block_size>100</max_block_size>
|
|
|
|
<min_insert_block_size_rows>100</min_insert_block_size_rows>
|
|
|
|
</settings>
|
2020-05-06 15:52:56 +00:00
|
|
|
|
2020-06-11 21:33:30 +00:00
|
|
|
<!-- 100 parts -->
|
2024-01-03 17:24:15 +00:00
|
|
|
<query>INSERT INTO hits_wide(UserID) SELECT rand() FROM numbers(10000)</query>
|
|
|
|
<query>INSERT INTO hits_compact(UserID) SELECT rand() FROM numbers(10000)</query>
|
2020-07-03 08:46:29 +00:00
|
|
|
<query>INSERT INTO hits_buffer(UserID) SELECT rand() FROM numbers(10000)</query>
|
2020-05-06 15:52:56 +00:00
|
|
|
|
|
|
|
<drop_query>DROP TABLE IF EXISTS hits_wide</drop_query>
|
|
|
|
<drop_query>DROP TABLE IF EXISTS hits_compact</drop_query>
|
|
|
|
<drop_query>DROP TABLE IF EXISTS hits_buffer</drop_query>
|
|
|
|
</test>
|