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[spark] Respect blob-compaction.enabled in Spark compact procedure #9165

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Merged
JingsongLi merged 1 commit into from
Aug 11, 2026
+30 −1
Merged

[spark] Respect blob-compaction.enabled in Spark compact procedure #9165

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6 changes: 5 additions & 1 deletion ...paimon-spark-common/src/main/java/org/apache/paimon/spark/procedure/CompactProcedure.java
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Original file line number Diff line number Diff line change
Expand Up @@ -526,7 +526,11 @@ private void compactDataEvolutionTable(
}
DataEvolutionCompactCoordinator compactCoordinator =
new DataEvolutionCompactCoordinator(
table, partitionPredicate, false, false, snapshot);
table,
partitionPredicate,
table.coreOptions().blobCompactionEnabled(),
false,
snapshot);
CommitMessageSerializer messageSerializerser = new CommitMessageSerializer();
String commitUser = createCommitUser(table.coreOptions().toConfiguration());
try {
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25 changes: 25 additions & 0 deletions paimon-spark/paimon-spark-ut/src/test/scala/org/apache/paimon/spark/sql/BlobTestBase.scala
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Expand Up @@ -704,6 +704,31 @@ class BlobTestBase extends PaimonSparkTestBase {
}
}

test("Blob: test compaction with blob compaction enabled") {
withTable("t") {
sql(
"CREATE TABLE t (id INT, data STRING, picture BINARY) TBLPROPERTIES ('row-tracking.enabled'='true', 'data-evolution.enabled'='true', 'blob-field'='picture', 'blob-compaction.enabled'='true')")
for (i <- 1 to 10) {
sql("INSERT INTO t VALUES (" + i + ", 'paimon', X'48656C6C6F')")
}
sql("INSERT INTO t VALUES (1, 'paimon', X'48656C6C6F')")

checkAnswer(
sql("SELECT COUNT(*) FROM `t$files`"),
Seq(Row(22))
)
sql("CALL paimon.sys.compact('t')").collect()
checkAnswer(
sql("SELECT COUNT(*) FROM `t$files`"),
Seq(Row(2))
)
checkAnswer(
sql("SELECT *, _ROW_ID, _SEQUENCE_NUMBER FROM t LIMIT 1"),
Seq(Row(1, "paimon", Array[Byte](72, 101, 108, 108, 111), 0, 11))
)
}
}

test("Blob: merge-into updates non-blob column on raw blob table with split blob files") {
withTable("s", "t") {
sql(
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