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[SDP] [SPARK-52576] Drop/recreate on full refresh and MV update #51280

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Original file line number Diff line number Diff line change
Expand Up @@ -178,12 +178,13 @@ object DatasetManager extends Logging {
}

// Wipe the data if we need to
if ((isFullRefresh || !table.isStreamingTableOpt.get) && existingTableOpt.isDefined) {
context.spark.sql(s"TRUNCATE TABLE ${table.identifier.quotedString}")
val dropTable = (isFullRefresh || !table.isStreamingTableOpt.get) && existingTableOpt.isDefined
if (dropTable) {
catalog.dropTable(identifier)
}

// Alter the table if we need to
if (existingTableOpt.isDefined) {
if (existingTableOpt.isDefined && !dropTable) {
val existingSchema = existingTableOpt.get.schema()

val targetSchema = if (table.isStreamingTableOpt.get && !isFullRefresh) {
Expand All @@ -198,7 +199,7 @@ object DatasetManager extends Logging {
}

// Create the table if we need to
if (existingTableOpt.isEmpty) {
if (dropTable || existingTableOpt.isEmpty) {
catalog.createTable(
identifier,
new TableInfo.Builder()
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -446,8 +446,9 @@ class MaterializeTablesSuite extends BaseCoreExecutionTest {

val table2 = catalog.loadTable(identifier)
assert(
table2.columns() sameElements CatalogV2Util
.structTypeToV2Columns(new StructType().add("y", IntegerType).add("x", BooleanType))
table2.columns().toSet == CatalogV2Util
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why do we need this change?

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The ordering of columns does not appear to be deterministic (at least across different catalog implementations). Is that unexpected?

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for a table, the column order matters. I think we should keep the test as it is and fix the issues we found.

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@sryza sryza Jun 26, 2025

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Are we able to get some help with fixing this? What I'm observing is that, with Hive, when I create a table using the following:

      catalog.createTable(
        identifier,
        new TableInfo.Builder()
          .withProperties(mergedProperties.asJava)
          .withColumns(CatalogV2Util.structTypeToV2Columns(outputSchema))
          .withPartitions(partitioning.toArray)
          .build()
      )

and then later fetch the columns using

catalog.loadTable(identifier).columns()

The columns are returned in a different order than they appear in outputSchema.

This happens only with Hive, not the default catalog.

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@szehon-ho szehon-ho Jun 26, 2025

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strange, i can take a look

I ran the test case in HiveDDLSuite a few times and cant reproduce it.

    val catalog = spark.sessionState.catalogManager.currentCatalog.asInstanceOf[TableCatalog]
    withTable("t1") {
      val identifier = Identifier.of(Array("default"), "t1")
      val outputSchema = new StructType()
        .add("a", IntegerType, true, "comment1")
        .add("b", IntegerType, true, "comment2")
        .add("c", IntegerType, true, "comment3")
        .add("d", IntegerType, true, "comment4")
      catalog.createTable(
        identifier,
        new TableInfo.Builder()
          .withProperties(Map.empty.asJava)
          .withColumns(CatalogV2Util.structTypeToV2Columns(outputSchema))
          .withPartitions(Array.empty)
          .build()
      )
      val cols = catalog.loadTable(identifier).columns()
      assert(cols.length == 4)
      assert(cols(0).name() == "a")
      assert(cols(1).name() == "b")
      assert(cols(2).name() == "c")
      assert(cols(3).name() == "d")
    }

Is it reproducible with this pr itself?

.structTypeToV2Columns(new StructType().add("x", BooleanType).add("y", IntegerType))
.toSet
)
assert(table2.partitioning().toSeq == Seq(Expressions.identity("x")))

Expand All @@ -468,8 +469,9 @@ class MaterializeTablesSuite extends BaseCoreExecutionTest {

val table3 = catalog.loadTable(identifier)
assert(
table3.columns() sameElements CatalogV2Util
.structTypeToV2Columns(new StructType().add("y", IntegerType).add("x", BooleanType))
table3.columns().toSet == CatalogV2Util
.structTypeToV2Columns(new StructType().add("x", BooleanType).add("y", IntegerType))
.toSet
)
assert(table3.partitioning().toSeq == Seq(Expressions.identity("x")))
}
Expand Down