- HoodieLogFormat V2 has support for LogFormat evolution through versioning
- LogVersion is associated with a LogBlock not a LogFile
- Based on a version for a LogBlock, approporiate code path is executed
- Implemented LazyReading of Hoodie Log Blocks with Memory / IO tradeoff
- Implemented Reverse pointer to be able to traverse the log in reverse
- Introduce new MAGIC for backwards compatibility with logs without versions
Use FastDateFormat for thread safety, this is to fix an exception when a
job is used to ingest multiple tables. An example exception:
```
Caused by: java.lang.NumberFormatException: multiple points
at sun.misc.FloatingDecimal.readJavaFormatString(FloatingDecimal.java:1890)
at sun.misc.FloatingDecimal.parseDouble(FloatingDecimal.java:110)
at java.lang.Double.parseDouble(Double.java:538)
at java.text.DigitList.getDouble(DigitList.java:169)
at java.text.DecimalFormat.parse(DecimalFormat.java:2056)
at java.text.SimpleDateFormat.subParse(SimpleDateFormat.java:1867)
at java.text.SimpleDateFormat.parse(SimpleDateFormat.java:1514)
at java.text.DateFormat.parse(DateFormat.java:364)
at com.uber.hoodie.HoodieWriteClient.commit(HoodieWriteClient.java:442)
```
- Fallback to old way of rollback by listing all partitions
- Added null check to ensure only partitions which are to be rolledback are considered
- Added location (committime) to workload stat
- Added checks in CompactedScanner to guard against task retries
- Introduce new logic for rollback (bounded by instant_time and target_instant time)
- Reversed logfiles order
- When append() is not supported, rollover to new file always (instead of failing)
- Provide way to configure archive log folder (avoids small files inside .hoodie)
- Datasets written via Spark datasource archive to .hoodie/archived
- HoodieClientExample will now retain only 2,3 commits to exercise archival path during dev cycles
- Few tweaks to code structure around CommitArchiveLog
- Reviving PR 191, to make FileSystem creation off actual path
- Streamline all filesystem access to HoodieTableMetaClient
- Hadoop Conf from Spark Context serialized & passed to executor code too
- Pick up env vars prefixed with HOODIE_ENV_ into Configuration object
- Cleanup usage of FSUtils.getFS, piggybacking off HoodieTableMetaClient.getFS
- Adding s3a to supported schemes & support escaping "." in env vars
- Tests use HoodieTestUtils.getDefaultHadoopConf
- Write with COW/MOR paths work fully
- Read with RO view works on both storages*
- Incremental view supported on COW
- Refactored out HoodieReadClient methods, to just contain key based access
- HoodieDataSourceHelpers class can be now used to construct inputs to datasource
- Tests in hoodie-client using new helpers and mechanisms
- Basic tests around save modes & insert/upserts (more to follow)
- Bumped up scala to 2.11, since 2.10 is deprecated & complains with scalatest
- Updated documentation to describe usage
- New sample app written using the DataSource API
Guava deprecated hashString(String) in v15, and removed it in v16.
Replace call with hashUnencodedString(String), which replace it, to
be compatible with newer versions of Guava.
