* [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
* [HUDI-1944] Support Hudi to read from committed offset
* [HUDI-1944] Adding group option to KafkaResetOffsetStrategies
* [HUDI-1944] Update Exception msg
[global-hive-sync-tool] Add a global hive sync tool to sync hudi table across clusters. Add a way to rollback the replicated time stamp if we fail to sync or if we partly sync
Co-authored-by: Jagmeet Bali <jsbali@uber.com>
As discussed in RFC-14, this change implements the first phase of JDBC incremental puller.
It consists following changes:
- JdbcSource: This class extends RowSource and implements
fetchNextBatch(Option<String> lastCkptStr, long sourceLimit)
- SqlQueryBuilder: A simple utility class to build sql queries fluently.
- Implements two modes of fetching: full and incremental.
Full is a complete scan of RDBMS table.
Incremental is delta since last checkpoint.
Incremental mode falls back to full fetch in case of any exception.
Main functions:
Support create table for hoodie.
Support CTAS.
Support Insert for hoodie. Including dynamic partition and static partition insert.
Support MergeInto for hoodie.
Support DELETE
Support UPDATE
Both support spark2 & spark3 based on DataSourceV1.
Main changes:
Add sql parser for spark2.
Add HoodieAnalysis for sql resolve and logical plan rewrite.
Add commands implementation for CREATE TABLE、INSERT、MERGE INTO & CTAS.
In order to push down the update&insert logical to the HoodieRecordPayload for MergeInto, I make same change to the
HoodieWriteHandler and other related classes.
1、Add the inputSchema for parser the incoming record. This is because the inputSchema for MergeInto is different from writeSchema as there are some transforms in the update& insert expression.
2、Add WRITE_SCHEMA to HoodieWriteConfig to pass the write schema for merge into.
3、Pass properties to HoodieRecordPayload#getInsertValue to pass the insert expression and table schema.
Verify this pull request
Add TestCreateTable for test create hoodie tables and CTAS.
Add TestInsertTable for test insert hoodie tables.
Add TestMergeIntoTable for test merge hoodie tables.
Add TestUpdateTable for test update hoodie tables.
Add TestDeleteTable for test delete hoodie tables.
Add TestSqlStatement for test supported ddl/dml currently.
* Reduces log level for too verbose messages from info to debug level.
* Sort config output.
* Code Review : Small restructuring + rebasing to master
- Fixing flaky multi delta streamer test
- Using isDebugEnabled() checks
- Some changes to shorten log message without moving to DEBUG
Co-authored-by: volodymyr.burenin <volodymyr.burenin@cloudkitchens.com>
Co-authored-by: Vinoth Chandar <vinoth@apache.org>
* [HUDI-845] Added locking capability to allow multiple writers
1. Added LockProvider API for pluggable lock methodologies
2. Added Resolution Strategy API to allow for pluggable conflict resolution
3. Added TableService client API to schedule table services
4. Added Transaction Manager for wrapping actions within transactions
- Add a config to allow parsing custom date format in `DatePartitionPathSelector`. Currently it assumes date partition string in the format of `yyyy-MM-dd`.
- Fix a bug where `UnsupportedOperationException` was thrown when sort `eligibleFiles` in-place. Changed to sort it and store in a new list.
* [HUDI-1481] add structured streaming and delta streamer clustering unit test
* [HUDI-1399] support a independent clustering spark job to asynchronously clustering
* [HUDI-1399] support a independent clustering spark job to asynchronously clustering
* [HUDI-1498] Read clustering plan from requested file for inflight instant (#2389)
* [HUDI-1399] support a independent clustering spark job with schedule generate instant time
Co-authored-by: satishkotha <satishkotha@uber.com>
