You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hudi.apache.org by "leesf (via GitHub)" <gi...@apache.org> on 2023/01/31 01:16:28 UTC
[GitHub] [hudi] leesf commented on a diff in pull request #7793: [HUDI-5317] Fix insert overwrite table for partitioned table
leesf commented on code in PR #7793:
URL: https://github.com/apache/hudi/pull/7793#discussion_r1091326307
##########
hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestInsertTable.scala:
##########
@@ -443,112 +440,14 @@ class TestInsertTable extends HoodieSparkSqlTestBase {
checkAnswer(s"select id, name, price, ts from $tblNonPartition")(
Seq(2, "a2", 10.0, 1000)
)
- })
- }
-
- test("Test Insert Overwrite Table for V2 Table") {
- withSQLConf("hoodie.schema.on.read.enable" -> "true") {
- withRecordType()(withTempDir { tmp =>
- if (HoodieSparkUtils.gteqSpark3_2) {
- val tableName = generateTableName
- // Create a partitioned table
- spark.sql(
- s"""
- |create table $tableName (
- | id int,
- | name string,
- | price double,
- | ts long,
- | dt string
- |) using hudi
- | tblproperties (primaryKey = 'id', preCombineField='dt')
- | partitioned by (dt)
- | location '${tmp.getCanonicalPath}/$tableName'
- """.stripMargin)
-
- // Test insert overwrite table
- spark.sql(
- s"""
- | insert overwrite table $tableName
- | values(1, 'a1', 10.0, 1000, '2021-01-05')
- """.stripMargin)
- checkAnswer(s"select id, name, price, ts, dt from $tableName")(
- Seq(1, "a1", 10.0, 1000, "2021-01-05")
- )
-
- // Insert overwrite table
- spark.sql(
- s"""
- | insert overwrite table $tableName
- | values (2, 'a2', 10.0, 1000, '2021-01-06')
- """.stripMargin)
- checkAnswer(s"select id, name, price, ts, dt from $tableName order by id")(
- Seq(2, "a2", 10.0, 1000, "2021-01-06")
- )
-
- // Insert overwrite static partition
- spark.sql(
- s"""
- | insert overwrite table $tableName partition(dt = '2021-01-05')
- | select * from (select 2 , 'a2', 12.0, 1000) limit 10
- """.stripMargin)
- checkAnswer(s"select id, name, price, ts, dt from $tableName order by dt")(
- Seq(2, "a2", 12.0, 1000, "2021-01-05"),
- Seq(2, "a2", 10.0, 1000, "2021-01-06")
- )
-
- // Insert data from another table
- val tblNonPartition = generateTableName
- spark.sql(
- s"""
- | create table $tblNonPartition (
- | id int,
- | name string,
- | price double,
- | ts long
- | ) using hudi
- | tblproperties (primaryKey = 'id')
- | location '${tmp.getCanonicalPath}/$tblNonPartition'
- """.stripMargin)
- spark.sql(s"insert into $tblNonPartition select 1, 'a1', 10.0, 1000")
- spark.sql(
- s"""
- | insert overwrite table $tableName partition(dt ='2021-01-04')
- | select * from $tblNonPartition limit 10
- """.stripMargin)
- checkAnswer(s"select id, name, price, ts, dt from $tableName order by id,dt")(
- Seq(1, "a1", 10.0, 1000, "2021-01-04"),
- Seq(2, "a2", 12.0, 1000, "2021-01-05"),
- Seq(2, "a2", 10.0, 1000, "2021-01-06")
- )
-
- // Insert overwrite partitioned table, all partitions will be truncated
- spark.sql(
- s"""
- | insert overwrite table $tableName
- | select id + 2, name, price, ts , '2021-01-04' from $tblNonPartition limit 10
- """.stripMargin)
- checkAnswer(s"select id, name, price, ts, dt from $tableName " +
- s"where dt >='2021-01-04' and dt <= '2021-01-06' order by id,dt")(
- Seq(3, "a1", 10.0, 1000, "2021-01-04")
- )
-
- // Test insert overwrite non-partitioned table
- spark.sql(s"insert overwrite table $tblNonPartition select 2, 'a2', 10.0, 1000")
- checkAnswer(s"select id, name, price, ts from $tblNonPartition")(
- Seq(2, "a2", 10.0, 1000)
- )
- spark.sql(s"insert overwrite table $tblNonPartition select 2, 'a2', 10.0, 2000")
- checkAnswer(s"select id, name, price, ts from $tblNonPartition")(
- Seq(2, "a2", 10.0, 2000)
- )
- }
- })
- }
+ spark.sql(s"insert overwrite table $tblNonPartition select 3, 'a3', 10, 1000")
Review Comment:
is there test case for insert overwrite partitioned table?
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: commits-unsubscribe@hudi.apache.org
For queries about this service, please contact Infrastructure at:
users@infra.apache.org