Created on 01-06-2016 06:01 AM - edited 09-16-2022 02:55 AM
Hello,
Impala/ is having better performances on partitioned tables (if they are big enough).
However, I use Impala on an external HBase table. My HBase table is partitioned.
Therefore, I wonder if I can match the HBase partitions with the Impala/Hive ones?
If yes, How can I do this?
Thank you!
Created 01-06-2016 11:27 PM
Hi!
HBase tables are range partitioned by the key and Impala will do the equivalent of "partition pruning" for HBase resions if suitable predicates are available in the query. The "PARTITION" concept of HDFS tables is not really applicable to HBase tables. The docs explain this in more detail, including how to interpred Impala's explain plan to see whether region pruning is taking place or not:
Does that answer your question?
Created 01-06-2016 11:27 PM
Hi!
HBase tables are range partitioned by the key and Impala will do the equivalent of "partition pruning" for HBase resions if suitable predicates are available in the query. The "PARTITION" concept of HDFS tables is not really applicable to HBase tables. The docs explain this in more detail, including how to interpred Impala's explain plan to see whether region pruning is taking place or not:
Does that answer your question?
Created 01-17-2017 05:18 PM
The input data set consists of three tables as shown with the following table creation statements in Impala SQL dialect
Created 01-17-2017 05:42 PM
Yes. Use a spark-hbase-connector.