Skip to content

[spark] Fix analyze failure for timestamp ntz columns #9485

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

Merged
JingsongLi merged 1 commit into from
Sep 2, 2026
+28 −1
Merged

[spark] Fix analyze failure for timestamp ntz columns #9485

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
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 ...mon/src/main/scala/org/apache/paimon/spark/commands/PaimonAnalyzeTableColumnCommand.scala
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ import org.apache.spark.sql.catalyst.plans.logical.ColumnStat
import org.apache.spark.sql.catalyst.util.DateTimeUtils
import org.apache.spark.sql.connector.catalog.{Identifier, TableCatalog}
import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation
import org.apache.spark.sql.types.{DataType, Decimal, DecimalType, TimestampType}
import org.apache.spark.sql.types.{DataType, Decimal, DecimalType, TimestampNTZType, TimestampType}

import java.util

Expand Down Expand Up @@ -162,6 +162,8 @@ case class PaimonAnalyzeTableColumnCommand(
case _: TimestampType =>
val l = o.asInstanceOf[Long]
org.apache.paimon.data.Timestamp.fromSQLTimestamp(DateTimeUtils.toJavaTimestamp(l))
case _: TimestampNTZType =>
org.apache.paimon.data.Timestamp.fromMicros(o.asInstanceOf[Long])
case _ => o
}
}
Expand Down
25 changes: 25 additions & 0 deletions ...ark/paimon-spark-ut/src/test/scala/org/apache/paimon/spark/sql/AnalyzeTableTestBase.scala
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -326,6 +326,31 @@ abstract class AnalyzeTableTestBase extends PaimonSparkTestBase {
colStats.get("varchar_col"))
}

test("Paimon analyze: timestamp ntz column") {
assume(gteqSpark3_4)

spark.sql("CREATE TABLE T (ts TIMESTAMP_NTZ) USING PAIMON")
spark.sql(s"""INSERT INTO T VALUES
|(TIMESTAMP_NTZ '2020-01-01 00:00:00.123456'),
|(TIMESTAMP_NTZ '2020-01-02 00:00:00.654321')
|""".stripMargin)

spark.sql("ANALYZE TABLE T COMPUTE STATISTICS FOR COLUMNS ts")

val colStats = loadTable("T").statistics().get().colStats()
Assertions.assertEquals(
ColStats.newColStats(
0,
2,
DateTimeUtils.parseTimestampData("2020-01-01 00:00:00.123456", 6),
DateTimeUtils.parseTimestampData("2020-01-02 00:00:00.654321", 6),
0,
8,
8),
colStats.get("ts")
)
}

test("Paimon analyze: analyze unsupported cols") {
spark.sql(
s"""
Expand Down
Loading