Hi Cao Lu, I suggest to mention the following information. 1. table creation modify schema.thrift, add optional partitioner information to TableSchema
2. alter table add/drop partition 3. data loading of partition table use partitioner information of TableSchema to generate the table partitioner, then use this partitioner to repartition input RDD, finally reuse loadDataFrame flow. use partition id to replace task no in carbondata/inde file name, so no need to store partition information in footer and index file, 4. detail query on partition table with partition column filter. use partition column filter to get partition id list, use partition id list to filter BTree. 5. partition tables join on partition column -- View this message in context: http://apache-carbondata-mailing-list-archive.1130556.n5.nabble.com/Discussion-Implement-Partition-Table-Feature-tp10938p11139.html Sent from the Apache CarbonData Mailing List archive mailing list archive at Nabble.com.
