yaooqinn opened a new pull request #29577:
URL: https://github.com/apache/spark/pull/29577
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### What changes were proposed in this pull request?
This PR adds extended information of a function including arguments,
examples, notes and the since field to the SparkGetFunctionOperation
### Why are the changes needed?
better user experience, it will help JDBC users to have a better
understanding of our builtin functions
### Does this PR introduce _any_ user-facing change?
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Yes, BI tools and JDBC users will get full information on a spark function
instead of only fragmentary usage info.
e.g. date_part
#### before
```
date_part(field, source) - Extracts a part of the date/timestamp or interval
source.
```
#### after
```
Usage:
date_part(field, source) - Extracts a part of the date/timestamp or
interval source.
Arguments:
* field - selects which part of the source should be extracted, and
supported string values are as same as the fields of the equivalent function
`EXTRACT`.
* source - a date/timestamp or interval column from where `field`
should be extracted
Examples:
> SELECT date_part('YEAR', TIMESTAMP '2019-08-12 01:00:00.123456');
2019
> SELECT date_part('week', timestamp'2019-08-12 01:00:00.123456');
33
> SELECT date_part('doy', DATE'2019-08-12');
224
> SELECT date_part('SECONDS', timestamp'2019-10-01 00:00:01.000001');
1.000001
> SELECT date_part('days', interval 1 year 10 months 5 days);
5
> SELECT date_part('seconds', interval 5 hours 30 seconds 1
milliseconds 1 microseconds);
30.001001
Note:
The date_part function is equivalent to the SQL-standard function
`EXTRACT(field FROM source)`
Since: 3.0.0
```
### How was this patch tested?
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New tests
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