codope commented on code in PR #7818:
URL: https://github.com/apache/hudi/pull/7818#discussion_r1094211652
##########
hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestInsertTable.scala:
##########
@@ -1159,4 +1161,68 @@ class TestInsertTable extends HoodieSparkSqlTestBase {
)
}
}
+
+ /**
+ * This test is to make sure that bulk insert doesn't create a bunch of tiny
files if
+ * hoodie.bulkinsert.user.defined.partitioner.sort.columns doesn't start
with the partition columns
+ *
+ * NOTE: Additionally, this test serves as a smoke test making sure that all
of the bulk-insert
+ * modes work
+ */
+ test(s"Test Bulk Insert with all sort-modes") {
+ withTempDir { basePath =>
+ BulkInsertSortMode.values().foreach { sortMode =>
+ val tableName = generateTableName
+ // Remove these with [HUDI-5419]
+ spark.sessionState.conf.unsetConf("hoodie.datasource.write.operation")
+
spark.sessionState.conf.unsetConf("hoodie.datasource.write.insert.drop.duplicates")
+
spark.sessionState.conf.unsetConf("hoodie.merge.allow.duplicate.on.inserts")
+
spark.sessionState.conf.unsetConf("hoodie.datasource.write.keygenerator.consistent.logical.timestamp.enabled")
+ // Default parallelism is 200 which means in global sort, each record
will end up in a different spark partition so
+ // 9 files would be created. Setting parallelism to 3 so that each
spark partition will contain a hudi partition.
+ val parallelism = if
(sortMode.name.equals(BulkInsertSortMode.GLOBAL_SORT.name())) {
+ "hoodie.bulkinsert.shuffle.parallelism = 3,"
+ } else {
+ ""
+ }
+ spark.sql(
+ s"""
+ |create table $tableName (
+ | id int,
+ | name string,
+ | price double,
+ | dt string
+ |) using hudi
+ | tblproperties (
+ | primaryKey = 'id',
+ | preCombineField = 'name',
+ | type = 'cow',
+ | $parallelism
+ | hoodie.bulkinsert.sort.mode = '${sortMode.name}'
+ | )
+ | partitioned by (dt)
+ | location '${basePath.getCanonicalPath}/$tableName'
+ """.stripMargin)
+
+ spark.sql("set hoodie.sql.bulk.insert.enable = true")
+ spark.sql("set hoodie.sql.insert.mode = non-strict")
+
+ spark.sql(
+ s"""insert into $tableName values
+ |(5, 'a', 35, '2021-05-21'),
+ |(1, 'a', 31, '2021-01-21'),
+ |(3, 'a', 33, '2021-03-21'),
+ |(4, 'b', 16, '2021-05-21'),
+ |(2, 'b', 18, '2021-01-21'),
+ |(6, 'b', 17, '2021-03-21'),
+ |(8, 'a', 21, '2021-05-21'),
+ |(9, 'a', 22, '2021-01-21'),
+ |(7, 'a', 23, '2021-03-21')
+ |""".stripMargin)
+
+ // TODO re-enable
+ //assertResult(3)(spark.sql(s"select distinct _hoodie_file_name from
$tableName").count())
Review Comment:
Why this has been disabled?
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