- Add spotless format fixing to project
- One time reformatting for conformity
- Build fails for formatting changes and mvn spotless:apply autofixes them
1. Remove LICENSE and NOTICE files in hoodie child modules.
2. Remove developers and contributor section from pom
3. Also ensure any failures in validation script is reported appropriately
4. Make hoodie parent pom consistent with that of its parent apache-21 (https://github.com/apache/maven-apache-parent/blob/apache-21/pom.xml)
1. Remove dnl utils jar from git
2. Add LICENSE Headers in missing files
3. Fix NOTICE and LICENSE in all HUDI packages and in top-level
4. Fix License wording in certain HUDI source files
5. Include non java/scala code in RAT licensing check
6. Use whitelist to include dependencies as part of timeline-server bundling
- Documented principles applied for redesign at packaging/README.md
- No longer depends on incl commons-codec, commons-io, commons-pool, commons-dbcp, commons-lang, commons-logging, avro-mapred
- Introduce new FileIOUtils & added checkstyle rule for illegal import of above
- Parquet, Avro dependencies moved to provided scope to enable being picked up from Hive/Spark/Presto instead
- Pickup jackson jars for Hive sync tool from HIVE_HOME & unbundling jackson everywhere
- Remove hive-jdbc standalone jar from being bundled in Spark/Hive/Utilities bundles
- 6.5x reduced number of classes across bundles
- [HUDI-172] Cleanup Maven POM/Classpath
- Fix ordering of dependencies in poms, to enable better resolution
- Idea is to place more specific ones at the top
- And place dependencies which use them below them
- [HUDI-68] : Automate demo steps on docker setup
- Move hive queries from hive cli to beeline
- Standardize on taking query input from text command files
- Deltastreamer ingest, also does hive sync in a single step
- Spark Incremental Query materialized as a derived Hive table using datasource
- Fix flakiness in HDFS spin up and output comparison
- Code cleanup around streamlining and loc reduction
- Also fixed pom to not shade some hive classs in spark, to enable hive sync
