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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/06/01 17:31:01 UTC

[GitHub] [spark] MaxGekk opened a new pull request #28696: [SPARK-31888][SQL] Support `java.time.Instant` in Parquet filter pushdown

MaxGekk opened a new pull request #28696:
URL: https://github.com/apache/spark/pull/28696


   ### What changes were proposed in this pull request?
   1. Modified `ParquetFilters.valueCanMakeFilterOn()` to accept filters with `java.time.Instant` attributes.
   2. Added `ParquetFilters.timestampToMicros()` to support both types `java.sql.Timestamp` and `java.time.Instant` in conversions to microseconds.
   3. Re-used `timestampToMicros` in constructing of Parquet filters. 
   
   ### Why are the changes needed?
   To support pushed down filters with `java.time.Instant` attributes. Before the changes, date filters are not pushed down to Parquet datasource when `spark.sql.datetime.java8API.enabled` is `true`.
   
   ### Does this PR introduce any user-facing change?
   No
   
   ### How was this patch tested?
   Modified tests to `ParquetFilterSuite` to check the case when Java 8 API is enabled.


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[GitHub] [spark] SparkQA commented on pull request #28696: [SPARK-31888][SQL] Support `java.time.Instant` in Parquet filter pushdown

Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #28696:
URL: https://github.com/apache/spark/pull/28696#issuecomment-637488316


   **[Test build #123422 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/123422/testReport)** for PR 28696 at commit [`a0a5923`](https://github.com/apache/spark/commit/a0a5923325592424ce78f5881573b337b8e4e300).
    * This patch passes all tests.
    * This patch merges cleanly.
    * This patch adds no public classes.


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[GitHub] [spark] MaxGekk commented on pull request #28696: [SPARK-31888][SQL] Support `java.time.Instant` in Parquet filter pushdown

Posted by GitBox <gi...@apache.org>.
MaxGekk commented on pull request #28696:
URL: https://github.com/apache/spark/pull/28696#issuecomment-637003249


   The changes are similar to https://github.com/apache/spark/pull/28259. @cloud-fan @HyukjinKwon Please, review this PR.


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[GitHub] [spark] MaxGekk commented on pull request #28696: [SPARK-31888][SQL] Support `java.time.Instant` in Parquet filter pushdown

Posted by GitBox <gi...@apache.org>.
MaxGekk commented on pull request #28696:
URL: https://github.com/apache/spark/pull/28696#issuecomment-637339865


   jenkins, retest this, please


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URL: https://github.com/apache/spark/pull/28696#issuecomment-637335205


   **[Test build #123420 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/123420/testReport)** for PR 28696 at commit [`a0a5923`](https://github.com/apache/spark/commit/a0a5923325592424ce78f5881573b337b8e4e300).
    * This patch **fails due to an unknown error code, -9**.
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[GitHub] [spark] cloud-fan commented on pull request #28696: [SPARK-31888][SQL] Support `java.time.Instant` in Parquet filter pushdown

Posted by GitBox <gi...@apache.org>.
cloud-fan commented on pull request #28696:
URL: https://github.com/apache/spark/pull/28696#issuecomment-637490443


   thanks, merging to master!


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   **[Test build #123385 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/123385/testReport)** for PR 28696 at commit [`eca11d4`](https://github.com/apache/spark/commit/eca11d474873ad58b5a1f057e6a46cea4cf50c58).
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[GitHub] [spark] cloud-fan edited a comment on pull request #28696: [SPARK-31888][SQL] Support `java.time.Instant` in Parquet filter pushdown

Posted by GitBox <gi...@apache.org>.
cloud-fan edited a comment on pull request #28696:
URL: https://github.com/apache/spark/pull/28696#issuecomment-637490443


   thanks, merging to master/3.0!


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[GitHub] [spark] cloud-fan closed pull request #28696: [SPARK-31888][SQL] Support `java.time.Instant` in Parquet filter pushdown

Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/spark/pull/28696


   


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[GitHub] [spark] cloud-fan commented on a change in pull request #28696: [SPARK-31888][SQL] Support `java.time.Instant` in Parquet filter pushdown

Posted by GitBox <gi...@apache.org>.
cloud-fan commented on a change in pull request #28696:
URL: https://github.com/apache/spark/pull/28696#discussion_r433580261



##########
File path: sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
##########
@@ -588,36 +602,41 @@ abstract class ParquetFilterSuite extends QueryTest with ParquetTest with Shared
   }
 
   test("filter pushdown - timestamp") {
-    // spark.sql.parquet.outputTimestampType = TIMESTAMP_MILLIS
-    val millisData = Seq(
-      Timestamp.valueOf("1000-06-14 08:28:53.123"),
-      Timestamp.valueOf("1582-06-15 08:28:53.001"),
-      Timestamp.valueOf("1900-06-16 08:28:53.0"),
-      Timestamp.valueOf("2018-06-17 08:28:53.999"))
-    withSQLConf(SQLConf.PARQUET_OUTPUT_TIMESTAMP_TYPE.key ->
-      ParquetOutputTimestampType.TIMESTAMP_MILLIS.toString) {
-      testTimestampPushdown(millisData)
-    }
-
-    // spark.sql.parquet.outputTimestampType = TIMESTAMP_MICROS
-    val microsData = Seq(
-      Timestamp.valueOf("1000-06-14 08:28:53.123456"),
-      Timestamp.valueOf("1582-06-15 08:28:53.123456"),
-      Timestamp.valueOf("1900-06-16 08:28:53.123456"),
-      Timestamp.valueOf("2018-06-17 08:28:53.123456"))
-    withSQLConf(SQLConf.PARQUET_OUTPUT_TIMESTAMP_TYPE.key ->
-      ParquetOutputTimestampType.TIMESTAMP_MICROS.toString) {
-      testTimestampPushdown(microsData)
-    }
-
-    // spark.sql.parquet.outputTimestampType = INT96 doesn't support pushdown
-    withSQLConf(SQLConf.PARQUET_OUTPUT_TIMESTAMP_TYPE.key ->
-      ParquetOutputTimestampType.INT96.toString) {
-      import testImplicits._
-      withParquetDataFrame(millisData.map(i => Tuple1(i)).toDF()) { implicit df =>
-        val schema = new SparkToParquetSchemaConverter(conf).convert(df.schema)
-        assertResult(None) {
-          createParquetFilters(schema).createFilter(sources.IsNull("_1"))
+    Seq(true).foreach { java8Api =>

Review comment:
       Seq(true, false)?




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