cloud-fan commented on code in PR #36983:
URL: https://github.com/apache/spark/pull/36983#discussion_r906998878
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sql/core/src/test/scala/org/apache/spark/sql/internal/CatalogSuite.scala:
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@@ -749,4 +749,22 @@ class CatalogSuite extends SharedSparkSession with
AnalysisTest with BeforeAndAf
assert(spark.catalog.currentCatalog().equals("spark_catalog"))
assert(spark.catalog.listCatalogs().collect().map(c => c.name).toSet ==
Set("testcat"))
}
+
+ test("SPARK-39583: Make RefreshTable be compatible with 3 layer namespace") {
+ val catalogName = "testcat"
+ val dbName = "default"
+ val tableName = "my_table"
+ val tableSchema = new StructType().add("i", "int")
+ val description = "this is a test table"
+ val fullTableName = "testcat.default.my_table"
+
+ createTable(tableName, dbName, catalogName,
classOf[FakeV2Provider].getName, tableSchema,
+ Map.empty[String, String], description)
+ spark.catalog.refreshTable(fullTableName)
+ assert(!spark.catalog.isCached(fullTableName))
+
+ spark.catalog.cacheTable(fullTableName)
+ spark.catalog.refreshTable(fullTableName)
+ assert(spark.catalog.isCached(fullTableName))
Review Comment:
We can use `spark.table(...).collect` to fetch the data. If we add/remove
files, we can simply check the number of rows.
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