Rework of #4761
This diff introduces following changes:
- Write stats are converted to metadata index records during the commit. Making them use the HoodieData type so that the record generation scales up with needs.
- Metadata index init support for bloom filter and column stats partitions.
- When building the BloomFilter from the index records, using the type param stored in the payload instead of hardcoded type.
- Delta writes can change column ranges and the column stats index need to be properly updated with new ranges to be consistent with the table dataset. This fix add column stats index update support for the delta writes.
Co-authored-by: Manoj Govindassamy <manoj.govindassamy@gmail.com>
- This change makes sure MT records are updated appropriately on HDFS: previously after Log File append operations MT records were updated w/ just the size of the deltas being appended to the original files, which have been found to be the cause of issues in case of Rollbacks that were instead updating MT with records bearing the full file-size.
- To make sure that we hedge against similar issues going f/w, this PR alleviates this discrepancy and streamlines the flow of MT table always ingesting records bearing full file-sizes.
* [HUDI-3445] Clustering Command Based on Call Procedure Command for Spark SQL
* [HUDI-3445] Clustering Command Based on Call Procedure Command for Spark SQL
* [HUDI-3445] Clustering Command Based on Call Procedure Command for Spark SQL
Co-authored-by: shibei <huberylee.li@alibaba-inc.com>
* Bootstrapping initial support for Metadata Table in Spark Datasource
- Consolidated Avro/Row conversion utilities to center around Spark's AvroDeserializer ; removed duplication
- Bootstrapped HoodieBaseRelation
- Updated HoodieMergeOnReadRDD to be able to handle Metadata Table
- Modified MOR relations to be able to read different Base File formats (Parquet, HFile)
Fix dependency conflict
Fix repairs command
Implement putIfAbsent for DDB lock provider
Add upgrade step and validate while fetching configs
Validate checksum for latest table version only while fetching config
Move generateChecksum to BinaryUtil
Rebase and resolve conflict
Fix table version check
Currently, HadoopFsRelation will use the value of the real partition path as the value of the partition field. However, different from the normal table, Hudi will persist the partition value in the parquet file. And in some cases, it's different between the value of the real partition path and the value of the partition field.
So here we implement BaseFileOnlyViewRelation which lets Hudi manage its own relation.
- This adds a restore plan and serializes it to restore.requested meta file in timeline. This also means that we are introducing schedule and execution phases for restore which was not present before.
- This adds support in spark-datasource to just schedule table services inline so that users can leverage async execution w/o the need for lock service providers.
