1. Go through dependencies list one round to ensure compliance. Generated current NOTICE list in all submodules (other apache projects like flink does this).
To be on conservative side regarding licensing, NOTICE.txt lists all dependencies including transitive. Pending Compliance questions reported in https://issues.apache.org/jira/browse/LEGAL-461
2. Automate generating NOTICE.txt files to allow future package compliance issues be identified early as part of code-review process.
3. Added NOTICE.txt and LICENSE.txt to all HUDI jars
jira link https://issues.apache.org/jira/browse/HUDI-101
issue link https://github.com/apache/incubator-hudi/issues/516#issue-386048519
when using spark-shell with hoodie save data like :
```
./spark-shell --master yarn --jars /home/hdfs/software/spark/hoodie/hoodie-spark-bundle-0.4.8-SNAPSHOT.jar --conf spark.sql.hive.convertMetastoreParquet=false --packages com.databricks:spark-avro_2.11:4.0.0
```
and
```
inputDF.write.format("com.uber.hoodie")
.option("hoodie.insert.shuffle.parallelism", "1") // any hoodie client config can be passed like this
.option("hoodie.upsert.shuffle.parallelism", "1") // full list in HoodieWriteConfig & its package
.option(DataSourceWriteOptions.STORAGE_TYPE_OPT_KEY, HoodieTableType.COPY_ON_WRITE.name())
.option(DataSourceWriteOptions.OPERATION_OPT_KEY, DataSourceWriteOptions.UPSERT_OPERATION_OPT_VAL) // insert
.option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, "_row_key")
.option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY, "partition")
.option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY, "extend_deal_date")
.option(HoodieWriteConfig.TABLE_NAME, "c_upload_code")
.mode(SaveMode.Overwrite)
.save("/tmp/test/hoodie")
```
It also report error `Invalid signature file digest for Manifest main attributes`. Need to scan all infected dependency.
- hoodie-utilities can now be pulled in as compile time dependency
- Lets users test their DeltaStreamer transformers for e.g
- Tested the docker demo works & takes in the bundle
- Doc changes to follow, to move DeltaStreamer commands to bundle jar
- Join based on HoodieKey and not RecordKey during tagging
- Unit tests changed to run with duplicate keys
- Special casing GlobalBloom to still join by recordkey
1. Parquet Avro schema mismatch errors when ingesting are sometimes silently ignored due to race-condition in BoundedInMemoryExecutor. This was reproducible when running long-running delta-streamer with wrong schema and it caused data-loss
2. Fix behavior of Delta-Streamer to error out by default if there are any error records
3. Fix a bug in tracking write errors in WriteStats. Earlier the write errors were tracking sampled errors as opposed to total errors.
4. Delta Streamer does not commit the changes done as part of inline compaction as auto-commit is force disabled. Fix this behavior to always auto-commit inline compaction as it would not otherwise commit.
- Tackles the skew seen in sort based partitioning/checking
- Parameterized the HoodieBloomIndex test
- Config to turn on/off (on by default)
- Unit tests & also tested at scale
- Addresses issue where insert will combine and remove duplicates within batch
- Setting default insert combining to false (write client default)
- Set to true if filtering duplicates on insert/bulk_insert
