Skip to content

1.1.0
Compare
Choose a tag to compare
@amunra amunra released this 04 Jan 18:17
· 39 commits to main since this release
v1.1.0
4f72915
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode.

What's Changed

Features

  • High-performance ingestion of Pandas dataframes into QuestDB via ILP. We now support most Pandas column types. The logic is implemented in native code and is orders of magnitude faster than iterating the dataframe in Python and calling the Buffer.row() or Sender.row() methods: The Buffer can be written from Pandas at hundreds of MiB/s per CPU core. The new dataframe() method continues working with the auto_flush feature. See API documentation and examples for the new dataframe() method available on both the Sender and Buffer classes.

  • New TimestampNanos.now() and TimestampMicros.now() methods. These are the new recommended way of getting the current timestamp.

  • The Python GIL is now released during calls to Sender.flush() and when auto_flush is triggered. This should improve throughput when using the Sender from multiple threads.

Errata

  • In previous releases the documentation for the from_datetime() methods of the TimestampNanos and TimestampMicros types recommended calling datetime.datetime.utcnow() to get the current timestamp. This is incorrect as it will (confusingly) return object with the local timezone instead of UTC. This documentation has been corrected and now recommends calling datetime.datetime.now(tz=datetime.timezone.utc) or (more efficiently) the new TimestampNanos.now() and TimestampMicros.now() methods.

Full Changelog: v1.0.2...v1.1.0

Assets 2
Loading