commit | 8a3c8a4be3ca0738014e4caf772515ed0c80b6fd | [log] [tgz] |
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author | ajantha-bhat <ajanthabhat@gmail.com> | Wed May 06 13:33:21 2020 +0530 |
committer | kunal642 <kunalkapoor642@gmail.com> | Wed May 13 09:58:25 2020 +0530 |
tree | e253fc4e9432b16c0594e1b0e953edcd19205caf | |
parent | c063610c6f021ca45abf7b065ff6aa24f01bb24e [diff] |
[CARBONDATA-3799] Fix inverted index cannot work with adaptive encoding Why is this PR needed? After PR #3638, Inverted index cannot work with adaptive encoding. two issues are present a) For Byte adaptive type (Not DirectByteBuffer), Encoded column page has wrong result, as position() is used instead of limit() b) For short adaptive type (DirectByteBuffer), result.array() will fail as it is unsupported for direct byte buffer. What changes were proposed in this PR? For problem a) use limit() instead of position() b) write byte by byte instead of .array() This closes #3746
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
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:
CarbonData is built using Apache Maven, to build CarbonData
This is an active open source project for everyone, and we are always open to people who want to use this system or contribute to it. This guide document introduce how to contribute to CarbonData.
To get involved in CarbonData:
Apache CarbonData is an open source project of The Apache Software Foundation (ASF).