commit | e50bfa8376400d4b4159b38aaaa75cc2a81e88ec | [log] [tgz] |
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author | wzhou-code <wzhou@cloudera.com> | Sat Mar 23 17:18:35 2024 -0700 |
committer | Impala Public Jenkins <impala-public-jenkins@cloudera.com> | Fri Apr 05 09:16:53 2024 +0000 |
tree | b07353711947927d09389d0b87ae467f7a986e4c | |
parent | 4be5fd8896dcd445a6379bdcda4bdcf318f24511 [diff] |
IMPALA-12925: Fix decimal data type for external JDBC table Decimal type is a primitive data type for Impala. Current code returns wrong values for columns with decimal data type in external JDBC tables. This patch fixes wrong values returned from JDBC data source, and supports pushing down decimal type of predicates to remote database and remote Impala. The decimal precision and scale of the columns in external JDBC table must be no less than the decimal precision and scale of the corresponding columns in the table of remote database. Otherwise, Impala fails with an error since it may cause truncation of decimal data. Testing: - Added Planner test for pushing down decimal type of predicates. - Added end-to-end unit-tests for tables with decimal type of columns for Postgres, MySQL, and Impala-to-Impala. - Passed core-tests. Change-Id: I8c9d2e0667c42c0e52436b158e3dfe3ec14b9e3b Reviewed-on: http://gerrit.cloudera.org:8080/21218 Reviewed-by: Michael Smith <michael.smith@cloudera.com> Reviewed-by: Abhishek Rawat <arawat@cloudera.com> Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Lightning-fast, distributed SQL queries for petabytes of data stored in open data and table formats.
Impala is a modern, massively-distributed, massively-parallel, C++ query engine that lets you analyze, transform and combine data from a variety of data sources:
The fastest way to try out Impala is a quickstart Docker container. You can try out running queries and processing data sets in Impala on a single machine without installing dependencies. It can automatically load test data sets into Apache Kudu and Apache Parquet formats and you can start playing around with Apache Impala SQL within minutes.
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