Aerospike Connect for Spark version 3.0.2 was released on June 2, 2021.
- Tested with Apache Spark 3.0.0, Scala 2.12.11, & Python 3.7.
- Minimum supported Aerospike Server version 5.0.
- Supported until June 30, 2022.
Improvements
- This library is an uber shaded jar.
Bug Fixes
- [CONNECTOR-208] - Spark connector with default timeout settings is timing out after 1 second.
- [CONNECTOR-205] - Filter out records that breach write block size in Aerospike via Spark Connector.
- [CONNECTOR-212] - Handle nulls in full record writes (REPLACE, REPLACE_ONLY, and CREATE_ONLY).
Known Issues
- This release does not support Aerospike 5.6 boolean bin and quota features.
- DataSource v2 API does not support the SQL statement
INSERT INTO
a temp view. Use DataFrame syntax for equivalent functionality. - Streaming write does not work with Apache Spark 3.1.0.
- Streaming update trait
SupportsStreamingUpdate
from Spark 3.0.0 has been renamed toSupportsStreamingUpdateAsAppend
in Spark 3.1.0. - [CONNECTOR-312] - Update spark connectors with latest java clients to address CLIENT-1637 (“partition unavailable” errors occur). Fixed in version 3.0.3 .
Updates
- The default value of flag
aerospike.partition.factor
have changed from 12 to 8. Please update your application accordingly.