[SPARK-34605][SQL] Support `java.time.Duration` as an external type of the day-time interval type by MaxGekk · Pull Request #31729 · apache/spark

MaxGekk · 2021-03-03T20:44:02Z

What changes were proposed in this pull request?

In the PR, I propose to extend Spark SQL API to accept java.time.Duration as an external type of recently added new Catalyst type - DayTimeIntervalType (see #31614). The Java class java.time.Duration has similar semantic to ANSI SQL day-time interval type, and it is the most suitable to be an external type for DayTimeIntervalType. In more details:

Added DurationConverter which converts java.time.Duration instances to/from internal representation of the Catalyst type DayTimeIntervalType (to Long type). The DurationConverter object uses new methods of IntervalUtils:
- durationToMicros() converts the input duration to the total length in microseconds. If this duration is too large to fit Long, the method throws the exception ArithmeticException. Note:the input duration has nanosecond precision, the method casts the nanos part to microseconds by dividing by 1000.
- microsToDuration() obtains a java.time.Duration representing a number of microseconds.
Support new type DayTimeIntervalType in RowEncoder via the methods createDeserializerForDuration() and createSerializerForJavaDuration().
Extended the Literal API to construct literals from java.time.Duration instances.

Why are the changes needed?

To allow users parallelization of java.time.Duration collections, and construct day-time interval columns. Also to collect such columns back to the driver side.
This will allow to write tests in other sub-tasks of SPARK-27790.

Does this PR introduce any user-facing change?

The PR extends existing functionality. So, users can parallelize instances of the java.time.Duration class and collect them back:

scala>valds=Seq(java.time.Duration.ofDays(10)).toDS
ds: org.apache.spark.sql.Dataset[java.time.Duration] = [value: daytimeinterval]
scala> ds.collect
res0:Array[java.time.Duration] =Array(PT240H)

How was this patch tested?

Added a few tests to CatalystTypeConvertersSuite to check conversion from/to java.time.Duration.
Checking row encoding by new tests in RowEncoderSuite.
Making literals of DayTimeIntervalType are tested in LiteralExpressionSuite
Check collecting by DatasetSuite and JavaDatasetSuite.

SparkQA · 2021-03-03T21:54:19Z

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SparkQA · 2021-03-03T22:21:22Z

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SparkQA · 2021-03-04T01:48:31Z

Test build #135721 has finished for PR 31729 at commit b5b021e.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

MaxGekk · 2021-03-04T06:06:48Z

@cloud-fan @HyukjinKwon @dongjoon-hyun @viirya @maropu @yaooqinn Could you review this PR, please.

yaooqinn · 2021-03-04T06:15:35Z

I believe that Duration fits ANSI day-time interval well. But not related directly to this PR, what will we use for the year-month?

MaxGekk · 2021-03-04T06:19:32Z

what will we use for the year-month?

@yaooqinn I think of java.time.Period (https://docs.oracle.com/javase/8/docs/api/java/time/Period.html)

yaooqinn · 2021-03-04T06:27:11Z

what will we use for the year-month?
@yaooqinn I think of java.time.Period (https://docs.oracle.com/javase/8/docs/api/java/time/Period.html)

Does it mean that we only use the period with year and month filed and fail for the day part?

BTW, what is the behavior of Dataframe.show(), will it be something like PT1H2H3S

MaxGekk · 2021-03-04T06:38:14Z

Does it mean that we only use the period with year and month filed ...

Yes, we will use only year and month fields.

and fail for the day part?

Let's discuss this in https://issues.apache.org/jira/browse/SPARK-34615

BTW, what is the behavior of Dataframe.show(), will it be something like PT1H2H3S

No-no. It will be in the format that conforms to the ANSI SQL standard like:

INTERVAL ‘12 45:20:59.123’ DAY TO SECOND

BTW, the format PT1H2H3S is from the ISO-8601 standard.

cloud-fan · 2021-03-04T07:05:01Z

+ Seq(
+ "PT20.123456S",
+ "P2DT3H4M",
+ "P2D").foreach { intervalStr =>


I think many people are not familiar with this format. Can we add comments or use a different way to create Duration?

Cam we add some negative cases?

@cloud-fan I created durations using another Duration methods. Also added negative tests.

cloud-fan · 2021-03-04T07:05:16Z

+ }
+
+ test("SPARK-34605: construct literals from arrays of java.time.Duration") {
+ val duration0 = Duration.parse("P2DT3H4M")


yaooqinn · 2021-03-04T07:40:44Z

It's better we update the sql-ref-datatypes.md within this PR or create a separate JIRA to do later.

MaxGekk · 2021-03-04T11:00:36Z

It's better we update the sql-ref-datatypes.md

@yaooqinn Let's update docs separately. I opened the sub-task SPARK-34619 for that.

SparkQA · 2021-03-04T11:48:59Z

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SparkQA · 2021-03-04T11:57:29Z

Kubernetes integration test status failure
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SparkQA · 2021-03-04T15:54:19Z

Test build #135752 has finished for PR 31729 at commit b826afd.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

cloud-fan · 2021-03-04T16:58:25Z

thanks, merging to master!

Support java.time.Duration as an external type of DayTimeIntervalType
b5b021e

github-actionsBot added the SQL label Mar 3, 2021

MaxGekk changed the title ~~[WIP][SPARK-34605][SQL] Support java.time.Duration as an external type of the day-time interval type~~[SPARK-34605][SQL] Support java.time.Duration as an external type of the day-time interval typeMar 4, 2021

cloud-fan reviewed Mar 4, 2021
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MaxGekk added 3 commits March 4, 2021 13:33

Add tests to IntervalUtilsSuite
737a55f

Add tests to CatalystTypeConvertersSuite
bb0f6cd

Add tests to LiteralExpressionSuite
b826afd

cloud-fan approved these changes Mar 4, 2021
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cloud-fan closed this in 17601e0Mar 4, 2021

MaxGekk mentioned this pull request Jun 8, 2021
[SPARK-35664][SQL] Support java.time.LocalDateTime as an external type of TimestampWithoutTZ type #32814
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What changes were proposed in this pull request?

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MaxGekk commented Mar 3, 2021•
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