* [HUDI-2154] Add index key field to HoodieKey
* [HUDI-2157] Add the bucket index and its read/write implemention of Spark engine.
* revert HUDI-2154 add index key field to HoodieKey
* fix all comments and introduce a new tricky way to get index key at runtime
support double insert for bucket index
* revert spark read optimizer based on bucket index
* add the storage layout
* index tag, hash function and add ut
* fix ut
* address partial comments
* Code review feedback
* add layout config and docs
* fix ut
* rename hoodie.layout and rebase master
Co-authored-by: Vinoth Chandar <vinoth@apache.org>
* Update Hive sync timestamp when change detected
Only update the last commit timestamp on the Hive table when the table schema
has changed or a partition is created/updated.
When using AWS Glue Data Catalog as the metastore for Hive this will ensure
that table versions are substantive (including schema and/or partition
changes). Prior to this change when a Hive sync is performed without schema
or partition changes the table in the Glue Data Catalog would have a new
version published with the only change being the timestamp property.
https://issues.apache.org/jira/browse/HUDI-1932
* add conditional sync flag
* fix testSyncWithoutDiffs
* fix HiveSyncConfig
Co-authored-by: Raymond Xu <2701446+xushiyan@users.noreply.github.com>
* [HUDI-2285] Adding Synchronous updates to metadata before completion of commits in data timelime.
- This patch adds synchronous updates to metadata table. In other words, every write is first committed to metadata table followed by data table. While reading metadata table, we ignore any delta commits that are present only in metadata table and not in data table timeline.
- Compaction of metadata table is fenced by the condition that we trigger compaction only when there are no inflight requests in datatable. This ensures that all base files in metadata table is always in sync with data table(w/o any holes) and only there could be some extra invalid commits among delta log files in metadata table.
- Due to this, archival of data table also fences itself up until compacted instant in metadata table.
All writes to metadata table happens within the datatable lock. So, metadata table works in one writer mode only. This might be tough to loosen since all writers write to same FILES partition and so, will result in a conflict anyways.
- As part of this, have added acquiring locks in data table for those operations which were not before while committing (rollback, clean, compaction, cluster). To note, we were not doing any conflict resolution. All we are doing here is to commit by taking a lock. So that all writes to metadata table is always a single writer.
- Also added building block to add buckets for partitions, which will be leveraged by other indexes like record level index, etc. For now, FILES partition has only one bucket. In general, any number of buckets per partition is allowed and each partition has a fixed fileId prefix with incremental suffix for each bucket within each partition.
Have fixed [HUDI-2476]. This fix is about retrying a failed compaction if it succeeded in metadata for first time, but failed w/ data table.
- Enabling metadata table by default.
- Adding more tests for metadata table
Co-authored-by: Prashant Wason <pwason@uber.com>
* [HUDI-1848] Adding support for HMS for running DDL queries in hive-sync-tool
* [HUDI-1848] Fixing test cases
* [HUDI-1848] CR changes
* [HUDI-1848] Fix checkstyle violations
* [HUDI-1848] Fixed a bug when metastore api fails for complex schemas with multiple levels.
* [HUDI-1848] Adding the complex schema and resolving merge conflicts
* [HUDI-1848] Adding some more javadocs
* [HUDI-1848] Added javadocs for DDLExecutor impls
* [HUDI-1848] Fixed style issue
