* [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>
- Added commit metadata infra to test table so that we can test entire metadata using test table itself. These tests don't care about the contents of files as such and hence we should be able to test all code paths for metadata using test table.
Co-authored-by: Sivabalan Narayanan <n.siva.b@gmail.com>
- Inserts go into logs, hashed by Kafka and Hudi partitions
- Fixed issues with the setupKafka script
- Bumped up the default commit interval to 300 seconds
- Minor renaming
- This patch introduces rollback plan and rollback.requested instant. Rollback will be done in two phases, namely rollback plan and rollback action. In planning, we prepare the rollback plan and serialize it to rollback.requested. In the rollback action phase, we fetch details from the plan and just delete the files as per the plan. This will ensure final rollback commit metadata will contain all files that got rolled back even if rollback failed midway and retried again.
- Fixing packaging, naming of classes
- Use of log4j over slf4j for uniformity
- More follow-on fixes
- Added a version to control/coordinator events.
- Eliminated the config added to write config
- Fixed fetching of checkpoints based on table type
- Clean up of naming, code placement
Co-authored-by: Rajesh Mahindra <rmahindra@Rajeshs-MacBook-Pro.local>
Co-authored-by: Vinoth Chandar <vinoth@apache.org>
Update Azure CI ubuntu from 16.04 to 18.04 due to 16.04 will be removed soon
Fixed some consistently failed tests
* fix TestCOWDataSourceStorage TestMORDataSourceStorage
* reset mocks
Also update readme badge
Co-authored-by: Raymond Xu <2701446+xushiyan@users.noreply.github.com>
* [HUDI-1989] Refactor clustering tests for MoR table
* refactor assertion helper
* add CheckedFunction
* SparkClientFunctionalTestHarness.java
* put back original test case
* move testcases out from TestHoodieMergeOnReadTable.java
* add TestHoodieSparkMergeOnReadTableRollback.java
* use SparkClientFunctionalTestHarness
* add tag
- Added upgrade and downgrade step to and from 0.9.0. Upgrade adds few table properties. Downgrade recreates timeline server based marker files if any.
- Rollback infers the directory structure and does rollback based on the strategy used while markers were written. "write markers type" in write config is used to determine marker strategy only for new writes.
* [HUDI-2119] Ensure the rolled-back instance was previously synced to the Metadata Table when syncing a Rollback Instant.
If the rolled-back instant was synced to the Metadata Table, a corresponding deltacommit with the same timestamp should have been created on the Metadata Table timeline. To ensure we can always perfomr this check, the Metadata Table instants should not be archived until their corresponding instants are present in the dataset timeline. But ensuring this requires a large number of instants to be kept on the metadata table.
In this change, the metadata table will keep atleast the number of instants that the main dataset is keeping. If the instant being rolled back was before the metadata table timeline, the code will throw an exception and the metadata table will have to be re-bootstrapped. This should be a very rare occurance and should occur only when the dataset is being repaired by rolling back multiple commits or restoring to an much older time.
* Fixed checkstyle
* Improvements from review comments.
Fixed checkstyle
Replaced explicit null check with Option.ofNullable
Removed redundant function getSynedInstantTime
* Renamed getSyncedInstantTime and getSyncedInstantTimeForReader.
Sync is confusing so renamed to getUpdateTime() and getReaderTime().
* Removed getReaderTime which is only for testing as the same method can be accessed during testing differently without making it part of the public interface.
* Fix compilation error
* Reverting changes to HoodieMetadataFileSystemView
Co-authored-by: Vinoth Chandar <vinoth@apache.org>
* [HUDI-1292] Created a config to enable/disable syncing of metadata table.
- Metadata Table should only be synced from a single pipeline to prevent conflicts.
- Skip syncing metadata table for clustering and compaction
- Renamed useFileListingMetadata
Co-authored-by: Vinoth Chandar <vinoth@apache.org>
Registry.add() API adds the new value to existing metric value. For some use-cases We need a API to set/replace the existing value.
Metadata Table is synced in preWrite() and postWrite() functions of commit. As part of the sync, the current sizes and basefile/logfile counts are published as metrics. If we use the Registry.add() API, the count and sizes are incorrectly published as sum of the two values. This is corrected by using the Registry.set() API instead.
