- 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
Before this change, Cleaner performs cleaning of old file versions and then stores the deleted files in .clean files.
With this setup, we will not be able to track file deletions if a cleaner fails after deleting files but before writing .clean metadata.
This is fine for regular file-system view generation but Incremental timeline syncing relies on clean/commit/compaction metadata to keep a consistent file-system view.
Cleaner state transitions is now similar to that of compaction.
1. Requested : HoodieWriteClient.scheduleClean() selects the list of files that needs to be deleted and stores them in metadata
2. Inflight : HoodieWriteClient marks the state to be inflight before it starts deleting
3. Completed : HoodieWriteClient marks the state after completing the deletion according to the cleaner plan
- 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
- 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
