Releases: databricks/iceberg-kafka-connect
Releases · databricks/iceberg-kafka-connect
0.4.11
Adds support for loading Hadoop's hdfs-site.xml
if it is on the classpath
0.4.10
Adds support for storage on Azure
0.4.9
- Updates delta writers to only write ID fields to delete files
- Updates Kafka libraries to 3.5.1
0.4.8
- Adds more permissive parsing of timestamp string offsets
- Updates Hadoop dependencies to resolve some newly reported vulnerabilities
- Updates README
0.4.7
Fixes an issue that was requiring all fields from the Iceberg table be present in the Kafka message when using message schemas.
0.4.6
- Adds a new project for SMTs with a new SMT to copy a value to a new field.
- Tracks offsets for records even when the record isn't written to a table.
- Updates to readme.
0.4.5
Includes libraries required for writing to Google Cloud Storage in the distributions.
0.4.4
Adds a work-around for a memory leak in Iceberg's Avro deserializer.
0.4.3
Adds support for setting the Iceberg catalog name, and for using the catalog type property.
NOTE: This release makes a backward-incompatible change to setting catalog properties. The iceberg.catalog
property is now for setting the catalog name, and it is optional. If not set it defaults to iceberg
. The catalog implementation is set either via iceberg.catalog.type
or iceberg.catalog.catalog-impl
, which is more consistent with Iceberg configuration in other platforms.
0.4.2
Include Hive metastore client v2.3.9 in the Hive distribution for better compatibility