* [HUDI-2443] Hudi KVComparator for all HFile writer usages
- Hudi relies on custom class shading for Hbase's KeyValue.KVComparator to
avoid versioning and class loading issues. There are few places which are
still using the Hbase's comparator class directly and version upgrades
would make them obsolete. Refactoring the HoodieKVComparator and making
all HFile writer creation using the same shaded class.
* [HUDI-2443] Hudi KVComparator for all HFile writer usages
- Moving HoodieKVComparator from common.bootstrap.index to common.util
* [HUDI-2443] Hudi KVComparator for all HFile writer usages
- Retaining the old HoodieKVComparatorV2 for boostrap case. Adding the
new comparator as HoodieKVComparatorV2 to differentiate from the old
one.
* [HUDI-2443] Hudi KVComparator for all HFile writer usages
- Renamed HoodieKVComparatorV2 to HoodieMetadataKVComparator and moved it
under the package org.apache.hudi.metadata.
* Make comparator classname configurable
* Revert new config and address other review comments
Co-authored-by: Sagar Sumit <sagarsumit09@gmail.com>
* [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
* Disable validation check on instant time for compaction and adjust configs
* Add javadocs
* Add clustering and compaction config
* Fix transaction causing missing records in the target table
* Add debugging logs
* Fix kafka offset sync in participant
* Adjust how clustering and compaction are configured in kafka-connect
* Fix clustering strategy
* Remove irrelevant changes from other published PRs
* Update clustering logic and others
* Update README
* Fix test failures
* Fix indentation
* Fix clustering config
* Add JavaCustomColumnsSortPartitioner and make async compaction enabled by default
* Add test for JavaCustomColumnsSortPartitioner
* Add more changes after IDE sync
* Update README with clarification
* Fix clustering logic after rebasing
* Remove unrelated changes
* [HUDI-1937] Rollback unfinished replace commit to allow updates while clustering
* Revert and delete requested replacecommit too
* Rollback pending clustering instants transactionally
* No double locking and add a config to enable rollback
* Update config to be clear about rollback only on conflict
- Adds support for generating commit timestamps with millisecs granularity.
- Older commit timestamps (in secs granularity) will be suffixed with 999 and parsed with millisecs format.
* [HUDI-1870] Add more Spark CI build tasks
- build for spark3.0.x
- build for spark-shade-unbundle-avro
- fix build failures
- delete unnecessary assertion for spark 3.0.x
- use AvroConversionUtils#convertAvroSchemaToStructType instead of calling SchemaConverters#toSqlType directly to solve the compilation failures with spark-shade-unbundle-avro (#5)
Co-authored-by: Yann <biyan900116@gmail.com>
* [HUDI-2795] Add mechanism to safely update,delete and recover table properties
- Fail safe mechanism, that lets queries succeed off a backup file
- Readers who are not upgraded to this version of code will just fail until recovery is done.
- Added unit tests that exercises all these scenarios.
- Adding CLI for recovery, updation to table command.
- [Pending] Add some hash based verfication to ensure any rare partial writes for HDFS
* Fixing upgrade/downgrade infrastructure to use new updation method
- Metadata table today has virtual keys disabled, thereby populating the metafields
for each record written out and increasing the overall storage space used. Hereby
adding virtual keys support for metadata table so that metafields are disabled
for metadata table records.
- Adding a custom KeyGenerator for Metadata table so as to not rely on the
default Base/SimpleKeyGenerators which currently look for record key
and partition field set in the table config.
- AbstractHoodieLogRecordReader's version of processing next data block and
createHoodieRecord() will be a generic version and making the derived class
HoodieMetadataMergedLogRecordReader take care of the special creation of
records from explictly passed in partition names.
* Enabling timeline server based markers
* Enabling timeline server based markers and marker based rollback
* Removing constraint that timeline server can be enabled only for hdfs
* Fixing tests
* [HUDI-2634] Improved the metadata table bootstrap for very large tables.
Following improvements are implemented:
1. Memory overhead reduction:
- Existing code caches FileStatus for each file in memory.
- Created a new class DirectoryInfo which is used to cache a director's file list with parts of the FileStatus (only filename and file len). This reduces the memory requirements.
2. Improved parallelism:
- Existing code collects all the listing to the Driver and then creates HoodieRecord on the Driver.
- This takes a long time for large tables (11million HoodieRecords to be created)
- Created a new function in SparkRDDWriteClient specifically for bootstrap commit. In it, the HoodieRecord creation is parallelized across executors so it completes fast.
3. Fixed setting to limit the number of parallel listings:
- Existing code had a bug wherein 1500 executors were hardcoded to perform listing. This leads to exception due to limit in the spark's result memory.
- Corrected the use of the config.
Result:
Dataset has 1299 partitions and 12Million files.
file listing time=1.5mins
HoodieRecord creation time=13seconds
deltacommit duration=2.6mins
Co-authored-by: Sivabalan Narayanan <n.siva.b@gmail.com>
