From: | Смирнов Денис <sd(at)arenadata(dot)io> |
---|---|
To: | pgsql-hackers(at)postgresql(dot)org |
Subject: | PoC Refactor AM analyse API |
Date: | 2020-12-07 13:23:42 |
Message-ID: | C7CFE16B-F192-4124-BEBB-7864285E0FF7@arenadata.io |
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Lists: | pgsql-hackers |
Hello all!
I suggest a refactoring of analyze AM API as it is too much heap specific at the moment. The problem was inspired by Greenplum’s analyze improvement for append-optimized row and column AM with variable size compressed blocks.
Currently we do analyze in two steps.
1. Sample fix size blocks with algorithm S from Knuth (BlockSampler function)
2. Collect tuples into reservoir with algorithm Z from Vitter.
So this doesn’t work for AMs using variable sized physical blocks for example. They need weight random sampling (WRS) algorithms like A-Chao or logical blocks to follow S-Knuth (and have a problem with RelationGetNumberOfBlocks() estimating a physical number of blocks). Another problem with columns - they are not passed to analyze begin scan and can’t benefit from column storage at ANALYZE TABLE (COL).
The suggestion is to replace table_scan_analyze_next_block() and table_scan_analyze_next_tuple() with a single function: table_acquire_sample_rows(). The AM implementation of table_acquire_sample_rows() can use the BlockSampler functions if it wants to, but if the AM is not block-oriented, it could do something else. This suggestion also passes VacAttrStats to table_acquire_sample_rows() for column-oriented AMs and removes PROGRESS_ANALYZE_BLOCKS_TOTAL and PROGRESS_ANALYZE_BLOCKS_DONE definitions as not all AMs can be block-oriented.
Best regards,
Denis Smirnov | Developer
sd(at)arenadata(dot)io
Arenadata | Godovikova 9-17, Moscow 129085 Russia
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