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Posted to issues-all@impala.apache.org by "Quanlong Huang (JIRA)" <ji...@apache.org> on 2019/02/18 08:06:00 UTC
[jira] [Updated] (IMPALA-8210) Support reading/writing tiny RDBMS
tables
[ https://issues.apache.org/jira/browse/IMPALA-8210?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Quanlong Huang updated IMPALA-8210:
-----------------------------------
Description:
It'd be quite helpful if Impala can read/write some tiny RDBMS(MySQL/PostgreSQL/SQLServer) tables. Parallelism or efficiency can be ignored since the target tables are all tiny. Some use cases:
* Some dimension tables in Hive are snapshots of RDBMS tables. Users want to query the difference between the snapshot in Hive and the latest data in RDBMS.
* Users want to run queries joining Hive fact tables and the latest data in RDBMS.
* Users hope their query results can be ingested into MySQL directly
Implement an "External Data Source" as a generic JDBC wrapper for RDBMS data sources could be a solution. The drawback is that "External Data Source" requires users to create tables in Impala for each RDBMS table they want to access. Users can't list tables (show tables) of a schema(database).
There're other solutions that support RDBMS directly. For example [https://www.slideshare.net/liuknag/cloudera-impala-postgre-sql-29025605]
was:
It'd be quite helpful if Impala can read/write some tiny RDBMS(MySQL/Postgres/SQLServer) tables. Parallelism or efficiency can be ignored since the target tables are all tiny. Some use cases:
* Some dimension tables in Hive are snapshots of RDBMS tables. Users want to query the difference between the snapshot in Hive and the latest data in RDBMS.
* Users want to run queries joining Hive fact tables and the latest data in RDBMS.
* Users hope their query results can be ingested into MySQL directly
Implement an "External Data Source" as a generic JDBC wrapper for RDBMS data sources could be a solution. The drawback is that "External Data Source" requires users to create tables in Impala for each RDBMS table they want to access. Users can't list tables (show tables) of a schema(database).
There're other solutions that support RDBMS directly. For example https://www.slideshare.net/liuknag/cloudera-impala-postgre-sql-29025605
> Support reading/writing tiny RDBMS tables
> -----------------------------------------
>
> Key: IMPALA-8210
> URL: https://issues.apache.org/jira/browse/IMPALA-8210
> Project: IMPALA
> Issue Type: New Feature
> Reporter: Quanlong Huang
> Priority: Major
>
> It'd be quite helpful if Impala can read/write some tiny RDBMS(MySQL/PostgreSQL/SQLServer) tables. Parallelism or efficiency can be ignored since the target tables are all tiny. Some use cases:
> * Some dimension tables in Hive are snapshots of RDBMS tables. Users want to query the difference between the snapshot in Hive and the latest data in RDBMS.
> * Users want to run queries joining Hive fact tables and the latest data in RDBMS.
> * Users hope their query results can be ingested into MySQL directly
> Implement an "External Data Source" as a generic JDBC wrapper for RDBMS data sources could be a solution. The drawback is that "External Data Source" requires users to create tables in Impala for each RDBMS table they want to access. Users can't list tables (show tables) of a schema(database).
> There're other solutions that support RDBMS directly. For example [https://www.slideshare.net/liuknag/cloudera-impala-postgre-sql-29025605]
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