commit | b8511b6279fb86f000c70ad00b109aba2ea2501a | [log] [tgz] |
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author | Mahesh Raju Somalaraju <mahesh.somalaraju@huawei.com> | Tue Jun 28 17:03:39 2022 +0530 |
committer | Indhumathi27 <indhumathim27@gmail.com> | Fri Jul 01 10:43:50 2022 +0530 |
tree | f78784d3ab327de1f79832f8eca84c7523d86689 | |
parent | 858afc7eb60508de1f9d5fc8df06099e83df3c15 [diff] |
[CARBONDATA-4345] update/delete operations failed when other format segemnt deleted from carbon table Why is this PR needed? Update/delete operations failed when other format segments deleted from carbon table Steps to reproduce: 1. create carbon table and load the data 2. create parquet/orc tables and load the data 3. add parquet/orc format segments in carbon table by alter add segment command 4. perform update/delete operations in carbon table and they will fail as table contains mixed format segments. This is expected behaviour only. 5. delete the other format segments which is added in step3 6. try to perform update/delete operation in carbon data. They should not fail For update/delete operations we are checking if other format segments present in table path. If found then carbon data throwing exception by saying mixed format segments exists even though the other format segments deleted from table. What changes were proposed in this PR? When we are checking other format segment present in carbon table then it should check only for SUCCESS/PARTIAL_SUCCESS segments. Does this PR introduce any user interface change? No Is any new testcase added? Yes This closes #4285
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
Some features are marked as experimental because the syntax/implementation might change in the future.
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