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new 6dbe197334dc [SPARK-52812][SQL] Make Spark Connect Catalog.createTable
eager
6dbe197334dc is described below
commit 6dbe197334dccf0e339fa35532be187dee91a2b7
Author: rishav23 <[email protected]>
AuthorDate: Tue May 26 10:53:34 2026 -0400
[SPARK-52812][SQL] Make Spark Connect Catalog.createTable eager
### What changes were proposed in this pull request?
This PR makes Spark Connect Catalog.createTable eager. Previously,
createTable() only constructed a lazy DataFrame, requiring users to explicitly
trigger an action such as .collect() for the table creation to actually
execute. This change eagerly executes the command internally while preserving
the existing return type. A regression test has also been added to verify that
tables are created immediately without requiring an explicit action.
### Why are the changes needed?
Catalog.createTable() is a side-effecting operation and should execute
eagerly to match expected Catalog API semantics.
### Does this PR introduce _any_ user-facing change?
Yes. Previously spark.catalog.createTable(....) did not immediately create
the table in Spark Connect unless an action was triggered. Now the table is
created eagerly.
### How was this patch tested?
- Added a regression test in CatalogSuite
- Ran build/sbt compile
### Was this patch authored or co-authored using generative AI tooling?
No
Closes #56064 from rishav23/fix-spark-52812-createtable-eager-v2.
Authored-by: rishav23 <[email protected]>
Signed-off-by: Herman van Hövell <[email protected]>
---
.../apache/spark/sql/connect/CatalogSuite.scala | 26 ++++++++++++++++------
.../org/apache/spark/sql/connect/Catalog.scala | 11 +++------
2 files changed, 22 insertions(+), 15 deletions(-)
diff --git
a/sql/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/CatalogSuite.scala
b/sql/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/CatalogSuite.scala
index 61c4502b256d..e8ccc9f083c6 100644
---
a/sql/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/CatalogSuite.scala
+++
b/sql/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/CatalogSuite.scala
@@ -99,12 +99,12 @@ class CatalogSuite extends ConnectFunSuite with
RemoteSparkSession with SQLHelpe
import session.implicits._
val df1 = Seq("Bob", "Alice", "Nico", "Bob", "Alice").toDF("name")
df1.write.parquet(table1Dir.getPath)
- spark.catalog.createTable(parquetTableName,
table1Dir.getPath).collect()
+ spark.catalog.createTable(parquetTableName, table1Dir.getPath)
withTable(orcTableName, jsonTableName) {
withTempPath { table2Dir =>
val df2 = Seq("Bob", "Alice", "Nico", "Bob",
"Alice").zipWithIndex.toDF("name", "id")
df2.write.orc(table2Dir.getPath)
- spark.catalog.createTable(orcTableName, table2Dir.getPath,
"orc").collect()
+ spark.catalog.createTable(orcTableName, table2Dir.getPath, "orc")
val orcTable = spark.catalog.getTable(orcTableName)
assert(!orcTable.isTemporary)
assert(orcTable.name == orcTableName)
@@ -117,7 +117,6 @@ class CatalogSuite extends ConnectFunSuite with
RemoteSparkSession with SQLHelpe
val schema = new StructType().add("id", LongType).add("a",
DoubleType)
spark.catalog
.createTable(jsonTableName, "json", schema, Map.empty[String,
String])
- .collect()
val jsonTable = spark.catalog.getTable("default", jsonTableName)
assert(!jsonTable.isTemporary)
assert(jsonTable.name == jsonTableName)
@@ -151,6 +150,19 @@ class CatalogSuite extends ConnectFunSuite with
RemoteSparkSession with SQLHelpe
assert(spark.catalog.listTables().collect().isEmpty)
}
+ test("createTable should be eager") {
+ val tableName = "eager_table"
+ withTable(tableName) {
+ withTempPath { dir =>
+ val session = spark
+ import session.implicits._
+ Seq((1, "a")).toDF("id", "value").write.parquet(dir.getPath)
+ spark.catalog.createTable(tableName, dir.getPath)
+ assert(spark.catalog.tableExists(tableName))
+ }
+ }
+ }
+
test("Cache Table APIs") {
val parquetTableName = "parquet_table"
withTable(parquetTableName) {
@@ -159,7 +171,7 @@ class CatalogSuite extends ConnectFunSuite with
RemoteSparkSession with SQLHelpe
import session.implicits._
val df1 = Seq("Bob", "Alice", "Nico", "Bob", "Alice").toDF("name")
df1.write.parquet(table1Dir.getPath)
- spark.catalog.createTable(parquetTableName,
table1Dir.getPath).collect()
+ spark.catalog.createTable(parquetTableName, table1Dir.getPath)
// Test cache and uncacheTable
spark.catalog.cacheTable(parquetTableName)
@@ -375,7 +387,7 @@ class CatalogSuite extends ConnectFunSuite with
RemoteSparkSession with SQLHelpe
val session = spark
import session.implicits._
Seq(1).toDF("id").write.parquet(dir.getPath)
- spark.catalog.createTable(tbl, dir.getPath).collect()
+ spark.catalog.createTable(tbl, dir.getPath)
assert(spark.catalog.tableExists(tbl))
spark.catalog.dropTable(tbl)
assert(!spark.catalog.tableExists(tbl))
@@ -445,7 +457,7 @@ class CatalogSuite extends ConnectFunSuite with
RemoteSparkSession with SQLHelpe
val session = spark
import session.implicits._
Seq(1).toDF("id").write.parquet(dir.getPath)
- spark.catalog.createTable(t, dir.getPath).collect()
+ spark.catalog.createTable(t, dir.getPath)
val ddl = spark.catalog.getCreateTableString(t)
assert(ddl.nonEmpty &&
ddl.toLowerCase(java.util.Locale.ROOT).contains("create"))
}
@@ -470,7 +482,7 @@ class CatalogSuite extends ConnectFunSuite with
RemoteSparkSession with SQLHelpe
val session = spark
import session.implicits._
Seq(1).toDF("id").write.parquet(dir.getPath)
- spark.catalog.createTable(t, dir.getPath).collect()
+ spark.catalog.createTable(t, dir.getPath)
spark.catalog.analyzeTable(t, noScan = true)
}
}
diff --git
a/sql/connect/common/src/main/scala/org/apache/spark/sql/connect/Catalog.scala
b/sql/connect/common/src/main/scala/org/apache/spark/sql/connect/Catalog.scala
index ea4bc3e7ad60..2324ca05d7b7 100644
---
a/sql/connect/common/src/main/scala/org/apache/spark/sql/connect/Catalog.scala
+++
b/sql/connect/common/src/main/scala/org/apache/spark/sql/connect/Catalog.scala
@@ -392,13 +392,7 @@ class Catalog(sparkSession: SparkSession) extends
catalog.Catalog {
* @since 3.5.0
*/
override def createTable(tableName: String, path: String): DataFrame = {
- sparkSession.newDataFrame { builder =>
- builder.getCatalogBuilder.getCreateTableBuilder
- .setTableName(tableName)
- .setSchema(DataTypeProtoConverter.toConnectProtoType(new StructType))
- .setDescription("")
- .putOptions("path", path)
- }
+ createTable(tableName, path, "parquet")
}
/**
@@ -484,7 +478,7 @@ class Catalog(sparkSession: SparkSession) extends
catalog.Catalog {
schema: StructType,
description: String,
options: Map[String, String]): DataFrame = {
- sparkSession.newDataFrame { builder =>
+ sparkSession.execute { builder =>
val createTableBuilder = builder.getCatalogBuilder.getCreateTableBuilder
.setTableName(tableName)
.setSource(source)
@@ -494,6 +488,7 @@ class Catalog(sparkSession: SparkSession) extends
catalog.Catalog {
createTableBuilder.putOptions(k, v)
}
}
+ sparkSession.table(tableName)
}
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