You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Ruslan Dautkhanov (Jira)" <ji...@apache.org> on 2020/09/01 16:30:02 UTC

[jira] [Comment Edited] (SPARK-32760) Support for INET data type

    [ https://issues.apache.org/jira/browse/SPARK-32760?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17188612#comment-17188612 ] 

Ruslan Dautkhanov edited comment on SPARK-32760 at 9/1/20, 4:29 PM:
--------------------------------------------------------------------

[~smilegator] understood. Would be great to consider separating logical and physical datatypes like it is done in Parquet for example. It might be easier to add higher-level / logical data types then? IPv4 address for example fits nicely into parquet's _INT64_ physical data type. Feel free to close if it's not feasible near-term. Thanks.


was (Author: tagar):
[~smilegator] understood. Would be great to consider separating logical and physical datatypes like it is done in Parquet for example. It might be easier to add higher-level data types then? IPv4 address for example fits nicely into parquet's _INT64_ data type. Feel free to close if it's not feasible near-term. Thanks.

> Support for INET data type
> --------------------------
>
>                 Key: SPARK-32760
>                 URL: https://issues.apache.org/jira/browse/SPARK-32760
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Spark Core
>    Affects Versions: 2.4.0, 3.0.0, 3.1.0
>            Reporter: Ruslan Dautkhanov
>            Priority: Major
>
> PostgreSQL has support for `INET` data type 
> [https://www.postgresql.org/docs/9.1/datatype-net-types.html]
> We have a few customers that are interested in similar, native support for IP addresses, just like in PostgreSQL.
> The issue with storing IP addresses as strings, is that most of the matches (like if an IP address belong to a subnet) in most cases can't take leverage of parquet bloom filters. 



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org