TimescaleDB 2.11.1 released, a time series database based on PostgreSQL

TimescaleDB is an open source database designed to make SQL scalable to time series data, built on PostgreSQL, and packaged as a PostgreSQL extension, providing automatic partitioning across time and space, and full SQL support.

This release contains bug fixes since version 2.11.0 , notable updates include:

characteristic

  • #5679  Update loader to add support for OSM extensions (for   data layering on Timescale )

Bug fixes

  • #5705  Scheduler delete_jobis unexpectedly killed when called
  • #5742  Fix Result node handling issue using ConstraintAwareAppend on compressed chunks
  • #5750  Ensure tlist exists in decompress chunk plan
  • #5754  Fix handling of NULL values ​​in bookend_sfunc
  • #5798  Fixed batch look ahead issue in compression sort merge
  • #5804  Mark cagg_watermark function as PARALLEL RESTRICTED
  • #5807  Copy job config JSONB structure into current MemoryContext
  • #5824  Improve continuous aggregation query block exclusion

 Update instructions: https://github.com/timescale/timescaledb/releases/tag/2.11.1

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