[
https://issues.apache.org/jira/browse/SPARK-10868?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Martin Senne updated SPARK-10868:
---------------------------------
Description:
With SPARK-7135 and https://github.com/apache/spark/pull/5709
`monotonicallyIncreasingID()` allows to create an index column with unique ids.
The indexing always starts at 0 (no offset).
*Feature wish*
Having a parameter `offset`, such that the function can be used as
{{monotonicallyIncreasingID( offset )}}
and indexing *starts at `offset` instead of 0*.
*Use-case*
Add rows to a DataFrame that is already written to a DB (via
_.write.jdbc(...)_).
In detail:
- A DataFrame *A* (containing an ID column) and having indices from 0 to 199 in
that column is existent in DB.
- New rows need to be added to *A*. This included
-- Creating a DataFrame *A'* with new rows, but without id column
-- Add the index column to *A'* - this time starting at *200*, as there are
already entries with id's from 0 to 199 (*here, monotonicallyInreasingID( 200 )
is required.*)
-- union *A* and *A'*
-- store into DB
was:
With SPARK-7135 and https://github.com/apache/spark/pull/5709
`monotonicallyIncreasingID()` allows to create an index column with unique ids.
The indexing always starts at 0 (no offset).
**Feature wish**: Having a parameter `offset`, such that the function can be
used as
{{monotonicallyIncreasingID( offset )}}
and indexing *starts at `offset` instead of 0*.
**Background and justification**:
Add rows to a DataFrame that is already written to a DB (via .jdbc).
In detail:
- A DataFrame A (containing an ID column) and having indices from 0 to 199 in
that column is existent in DB.
- New rows need to be added to A. This included
-- Creating a DataFrame **A'** with new rows, but without id column
-- Add the index column to **A'** - this time starting at **200**, as there are
already entries with id's from 0 to 199 (**here is where
monotonicallyInreasingID( 200 ) is required.**)
-- union **A** and **A'**
-- store into DB
> monotonicallyIncreasingId() supports offset for indexing
> --------------------------------------------------------
>
> Key: SPARK-10868
> URL: https://issues.apache.org/jira/browse/SPARK-10868
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Martin Senne
>
> With SPARK-7135 and https://github.com/apache/spark/pull/5709
> `monotonicallyIncreasingID()` allows to create an index column with unique
> ids. The indexing always starts at 0 (no offset).
> *Feature wish*
> Having a parameter `offset`, such that the function can be used as
> {{monotonicallyIncreasingID( offset )}}
> and indexing *starts at `offset` instead of 0*.
> *Use-case*
> Add rows to a DataFrame that is already written to a DB (via
> _.write.jdbc(...)_).
> In detail:
> - A DataFrame *A* (containing an ID column) and having indices from 0 to 199
> in that column is existent in DB.
> - New rows need to be added to *A*. This included
> -- Creating a DataFrame *A'* with new rows, but without id column
> -- Add the index column to *A'* - this time starting at *200*, as there are
> already entries with id's from 0 to 199 (*here, monotonicallyInreasingID( 200
> ) is required.*)
> -- union *A* and *A'*
> -- store into DB
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
