使用 ANALYZE 从 zero/scratch 重建 PostgreSQL 统计数据的最快方法是什么？
What is the fastest way to rebuild PostgreSQL statistics from zero/scratch with ANALYZE?
我有一个大约 100GB 大小的 PostgreSQL v10 数据库。
重建统计信息的最有效（最快）方法是什么，例如在主要版本升级之后？
ANALYZE 默认情况下没有参数更新整个数据库的统计信息——速度慢得令人痛苦！这似乎是一个单一的过程。
有什么方法可以并行化以加快速度吗？
您可以将 vacuumdb 与 pg_upgrade 建议的相同选项一起使用：
vacuumdb --all --analyze-in-stages
The documentation 描述了它的作用：
Only calculate statistics for use by the optimizer (no vacuum), like --analyze-only. Run several (currently three) stages of analyze
with different configuration settings, to produce usable statistics faster.
This option is useful to analyze a database that was newly populated from a restored dump or by pg_upgrade. This option will try to
create some statistics as fast as possible, to make the database usable, and then produce full statistics in the subsequent stages.
要计算多个并行进程的统计信息，您可以使用 vacuumdb 的选项 -j。
我有一个大约 100GB 大小的 PostgreSQL v10 数据库。
重建统计信息的最有效（最快）方法是什么，例如在主要版本升级之后？
ANALYZE 默认情况下没有参数更新整个数据库的统计信息——速度慢得令人痛苦！这似乎是一个单一的过程。
有什么方法可以并行化以加快速度吗？
您可以将 vacuumdb 与 pg_upgrade 建议的相同选项一起使用：
vacuumdb --all --analyze-in-stages
The documentation 描述了它的作用：
Only calculate statistics for use by the optimizer (no vacuum), like
--analyze-only. Run several (currently three) stages of analyze with different configuration settings, to produce usable statistics faster.This option is useful to analyze a database that was newly populated from a restored dump or by
pg_upgrade. This option will try to create some statistics as fast as possible, to make the database usable, and then produce full statistics in the subsequent stages.
要计算多个并行进程的统计信息，您可以使用 vacuumdb 的选项 -j。