mirror of
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e6167d6b36
Reasons:
1. The original Gorilla paper proposed a compression schema for pairs of
time stamps and double-precision FP values. ClickHouse's Gorilla
codec only implements compression of the latter and it does not
impose any data type restrictions.
- Data types != Float* or (U)Int* (e.g. Decimal, Point etc.) are
definitely not supposed to be used with Gorilla.
- (U)Int* types are debatable. The paper only considers
integers-stored-as-FP-values, a practical use case for which
Gorilla works well. Standalone integers are not considered which
makes them at least suspicious.
2. Achieve consistency with FPC, another specialized floating-point
timeseries codec, which rejects non-float data.
3. On practical datasets, ZSTD is often "good enough" (**) so it should
be okay to disincentive non-ZSTD codecs a little bit. If needed,
Delta and DoubleDelta codecs are viable alternative for slowly
changing (time-series-like) integer sequences.
Since on-prem and hosted users may still have Gorilla-compressed
non-float data, this combination is only deprecated for now. No warning
or error will be emitted. Users are encouraged to migrate
Gorilla-compressed non-float data to an alternative codec. It is planned
to treat Gorilla-compressed non-float columns as "suspicious" six months
after this commit (i.e. in v23.6). Even then, it will still be possible
to set "allow_suspicious_codecs = true" and read and write
Gorilla-compressed non-float data.
(*) Sec. 4.1.2, "Gorilla restricts the value element in its tuple to a
double floating point type.", https://doi.org/10.14778/2824032.2824078
(**) https://clickhouse.com/blog/optimize-clickhouse-codecs-compression-schema
54 lines
2.0 KiB
XML
54 lines
2.0 KiB
XML
<test>
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<settings>
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<allow_suspicious_codecs>1</allow_suspicious_codecs>
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</settings>
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<substitutions>
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<substitution>
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<name>codec</name>
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<values>
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<value>NONE</value> <!-- as a baseline -->
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<value>LZ4</value>
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<value>ZSTD</value>
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<value>Delta</value>
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<value>T64</value>
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<value>DoubleDelta</value>
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</values>
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</substitution>
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<substitution>
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<name>type</name>
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<values>
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<value>UInt64</value>
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</values>
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</substitution>
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<substitution>
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<name>seq_type</name>
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<values>
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<value>seq</value>
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<value>mon</value>
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<value>rnd</value>
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</values>
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</substitution>
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<substitution>
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<name>num_rows</name>
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<values>
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<value>20000000</value>
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</values>
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</substitution>
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</substitutions>
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<create_query>CREATE TABLE IF NOT EXISTS codec_{seq_type}_{type}_{codec} (n {type} CODEC({codec}))
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ENGINE = MergeTree PARTITION BY tuple() ORDER BY tuple()
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SETTINGS parts_to_delay_insert = 5000, parts_to_throw_insert = 5000;</create_query>
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<create_query>system stop merges</create_query>
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<!-- Using limit to make query finite, allowing it to be run multiple times in a loop, reducing mean error -->
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<query>INSERT INTO codec_seq_{type}_{codec} (n) SELECT number FROM system.numbers LIMIT {num_rows} SETTINGS max_threads=1</query>
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<query>INSERT INTO codec_mon_{type}_{codec} (n) SELECT number*512+(intHash64(number)%512) FROM system.numbers LIMIT {num_rows} SETTINGS max_threads=1</query>
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<query>INSERT INTO codec_rnd_{type}_{codec} (n) SELECT intHash64(number) FROM system.numbers LIMIT {num_rows} SETTINGS max_threads=1</query>
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<drop_query>system start merges</drop_query>
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<drop_query>DROP TABLE IF EXISTS codec_{seq_type}_{type}_{codec}</drop_query>
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</test>
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