[TASK] Speed up functional data set imports - #743
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CSV data set imports currently perform full Doctrine schema introspection for every imported table. PostgreSQL additionally queries several system catalog tables before synchronizing each auto-increment sequence. Use TYPO3's cached schema information to obtain column types and identify the auto-increment column. Skip sequence handling for tables without such a column. Pass the known column name to the sequence reset helper and use PG_GET_SERIAL_SEQUENCE() to synchronize PostgreSQL sequences in a single query. Retain the existing catalog lookup as a fallback for callers that do not provide column metadata. In a complete PostgreSQL functional suite run with the same ten-way split as CI, aggregate runtime decreased from 2:26:36.598 to 2:14:04.534, saving 12:32.064 or 8.55%. The slowest chunk improved from 16:04.463 to 14:47.040, saving 8.03%. All 12,484 tests passed.
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CSV data set imports currently perform full Doctrine schema introspection for every imported table. PostgreSQL additionally queries several system catalog tables before synchronizing each auto-increment sequence.
Use TYPO3's cached schema information to obtain column types and identify the auto-increment column. Skip sequence handling for tables without such a column.
Pass the known column name to the sequence reset helper and use PG_GET_SERIAL_SEQUENCE() to synchronize PostgreSQL sequences in a single query. Retain the existing catalog lookup as a fallback for callers that do not provide column metadata.
In a complete PostgreSQL functional suite run with the same ten-way split as CI, aggregate runtime decreased from 2:26:36.598 to 2:14:04.534, saving 12:32.064 or 8.55%. The slowest chunk improved from 16:04.463 to 14:47.040, saving 8.03%. All 12,484 tests passed.