- Docs were talking about storage types before, cWiki moved to "Table"
- Most of code already has HoodieTable, HoodieTableMetaClient - correct naming
- Replacing renaming use of dataset across code/comments
- Few usages in comments and use of Spark SQL DataSet remain unscathed
- Provides ability to perform hard deletes by writing delete marker records into the source data
- if the record contains a special field _hoodie_delete_marker set to true, deletes are performed
- Add a transformer class, that adds `Op` fiels if not found in input frame
- Add a payload implementation, that issues deletes when Op=D
- Remove Parquet as a top level source type, consolidate with RowSource
- Made delta streamer work without a property file, simply using overridden cli options
- Unit tests for transformer/payload classes
- 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
- This will be used in Quickstart guide (Doc changes to follow in a seperate PR). The intention is to simplify quickstart to showcase hudi APIs by writing and reading using spark datasources.
- This is located in hudi-spark module intentionally to bring all the necessary classes in hudi-spark-bundle finally.
- spark 2.4 onwards, spark has built in support. shading to avoid conflicts
- spark 2.3 still needs this bundled, so that dropping bundle into jars folder would work
- Redo all classes based on org.parquet only
- remove unuused dependencies like parquet-hadoop, common-configuration2
- timeline-service does not build a fat jar anymore
- Fix utilities and hadoop-mr bundles based on above
- [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
