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Version: 1.26.0

1.1.0 - 2023-08-23

Added

  • Flink: create Openlineage configuration based on Flink configuration #2033 @pawel-big-lebowski
    Flink configuration entries starting with openlineage.* are passed to the Openlineage client.
  • Java: add Javadocs to the Java client #2004 @julienledem
    The client was missing some Javadocs.
  • Spark: append output dataset name to a job name #2036 @pawel-big-lebowski
    Solves the problem of multiple jobs writing to different datasets while having the same job name. The feature is enabled by default and results in different job names. It can be disabled by setting spark.openlineage.jobName.appendDatasetName to false.
    Unifies job names generated on the Databricks platform (using a dot job part separator instead of an underscore). The default behaviour can be altered with spark.openlineage.jobName.replaceDotWithUnderscore.
  • Spark: support Spark 3.4.1 #2057 @pawel-big-lebowski
    Bumps the latest Spark version to be covered in integration tests.

Fixed

  • Airflow: do not use database as fallback when no schema parsed #2023 @mobuchowski
    Sets the schema to None in TablesHierarchy to skip filtering on the schema level in the information schema query.
  • Flink: fix a bug when getting schema for KafkaSink #2042 @pentium3
    Fixes the incomplete schema from KafkaSinkVisitor by changing the KafkaSinkWrapper to catch schemas of type AvroSerializationSchema.
  • Spark: filter CreateView events #1968#1987 @pawel-big-lebowski
    Clears events generated by logical plans having CreateView nodes as root.
  • Spark: fix MERGE INTO for delta tables identified by physical locations #2026 @pawel-big-lebowski
    Delta tables identified by physical locations were not properly recognized.
  • Spark: fix incorrect naming of JDBC datasets #2035 @mobuchowski
    Makes the namespace generated by the JDBC/Spark connector conform to the naming schema in the spec.
  • Spark: fix ignored event adaptive_spark_plan in Databricks #2061 @algorithmy1
    Removes adaptive_spark_plan from the excludedNodes in DatabricksEventFilter.