Skip to content

[SPARK-28321][DOCS][FOLLOW-UP] Update migration guide by 0-args Java UDF's internal behaviour change #25224

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
HyukjinKwon wants to merge 2 commits into from
Closed

[SPARK-28321][DOCS][FOLLOW-UP] Update migration guide by 0-args Java UDF's internal behaviour change #25224

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
3aaec73
Update migration guide by 0-args Java UDF's internal behaviour change
HyukjinKwon Jul 22, 2019
be8ae40
fix a typo while I am here.
HyukjinKwon Jul 22, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 3 additions & 1 deletion docs/sql-migration-guide-upgrade.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -151,7 +151,9 @@ license: |

- Since Spark 3.0, substitution order of nested WITH clauses is changed and an inner CTE definition takes precedence over an outer. In version 2.4 and earlier, `WITH t AS (SELECT 1), t2 AS (WITH t AS (SELECT 2) SELECT * FROM t) SELECT * FROM t2` returns `1` while in version 3.0 it returns `2`. The previous behaviour can be restored by setting `spark.sql.legacy.ctePrecedence.enabled` to `true`.

- Since Spark 3.0, the `add_months` function does not adjust the resulting date to a last day of month if the original date is a last day of months. For example, `select add_months(DATE'2019-02-28', 1)` results `2019-03-28`. In Spark version 2.4 and earlier, the resulting date is adjusted when the original date is a last day of months. For example, adding a month to `2019-02-28` resultes in `2019-03-31`.
- Since Spark 3.0, the `add_months` function does not adjust the resulting date to a last day of month if the original date is a last day of months. For example, `select add_months(DATE'2019-02-28', 1)` results `2019-03-28`. In Spark version 2.4 and earlier, the resulting date is adjusted when the original date is a last day of months. For example, adding a month to `2019-02-28` results in `2019-03-31`.
Copy link
Member Author

@HyukjinKwon HyukjinKwon Jul 22, 2019

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Just a typo fix from resultes -> results.


- Since Spark 3.0, 0-argument Java UDF is executed in the executor side identically with other UDFs. In Spark version 2.4 and earlier, 0-argument Java UDF alone was executed in the driver side, and the result was propagated to executors, which might be more performant in some cases but caused inconsistency with a correctness issue in some cases.

## Upgrading from Spark SQL 2.4 to 2.4.1

Expand Down