0.15.2

Deployed: 18-09-2025

Latest feature and fixes for Data Catering include:

• Various performance improvements
• Don't call df.rdd when zipping with index in foreign key logic
• Don't call df.rdd when checking for unique values
• When passing metadata to nested fields, don't re-create dataframe
• Use unionByName instead of checking if dataframe is empty then running union
• Set enableSinkMetadata to false by default
  • Check configuration documentation here
• New unique value checking logic using bloom filters
  • Add uniqueBloomFilterNumItems to generation config
  • Add uniqueBloomFilterFalsePositiveProbability to generation config
  • Check unique generation tuning documentation here
• Update default Spark memory settings
• Update netty and jsonsmart libraries due to vulnerabilities
• Add enableUniqueCheckOnlyInBatch to Scala and Java API
• Check configuration documentation here