[CARBONDATA-3526]Fix cache issue during update and query

Problem:
When multiple updates happen on table, cache is loaded
during update operation, but since on second update the
horizontal compaction happens inside the segment, already
loaded into cache are invalid. So if we do clean files,
physical deletion of horizontal compacted takes place,
but still the cache contains old files. So when select
 query is fired, query fails with file not found exception.

Solution:
once after horizontal compaction is finished, new compacted
files are generated, so the segments inside cache are now invalid,
so clear the cache of invalid segment after horizontal compaction.
During drop cache command, clear the cache of segmentMap also.

This closes #3385
2 files changed
tree: c5567365b80937f96c33b44e96731ae27667025c
  1. .github/
  2. assembly/
  3. bin/
  4. build/
  5. common/
  6. conf/
  7. core/
  8. datamap/
  9. dev/
  10. docs/
  11. examples/
  12. format/
  13. hadoop/
  14. integration/
  15. licenses-binary/
  16. processing/
  17. store/
  18. streaming/
  19. tools/
  20. .gitignore
  21. LICENSE
  22. NOTICE
  23. pom.xml
  24. README.md
README.md

Apache CarbonData is an indexed columnar data store solution for fast analytics on big data platform, e.g.Apache Hadoop, Apache Spark, etc.

You can find the latest CarbonData document and learn more at: http://carbondata.apache.org

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Status

Spark2.2: Build Status Coverage Status

Features

CarbonData file format is a columnar store in HDFS, it has many features that a modern columnar format has, such as splittable, compression schema ,complex data type etc, and CarbonData has following unique features:

  • Stores data along with index: it can significantly accelerate query performance and reduces the I/O scans and CPU resources, where there are filters in the query. CarbonData index consists of multiple level of indices, a processing framework can leverage this index to reduce the task it needs to schedule and process, and it can also do skip scan in more finer grain unit (called blocklet) in task side scanning instead of scanning the whole file.
  • Operable encoded data :Through supporting efficient compression and global encoding schemes, can query on compressed/encoded data, the data can be converted just before returning the results to the users, which is “late materialized”.
  • Supports for various use cases with one single Data format : like interactive OLAP-style query, Sequential Access (big scan), Random Access (narrow scan).

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CarbonData is built using Apache Maven, to build CarbonData

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Apache CarbonData is an open source project of The Apache Software Foundation (ASF).