gengliangwang commented on code in PR #52517:
URL: https://github.com/apache/spark/pull/52517#discussion_r2409509442
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sql/connect/server/src/test/scala/org/apache/spark/sql/connect/pipelines/PythonPipelineSuite.scala:
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@@ -694,6 +695,86 @@ class PythonPipelineSuite
parameters = Map.empty)
}
+ test("table with string schema") {
+ val graph = buildGraph("""
+ |from pyspark.sql.functions import lit
+ |
+ |@dp.materialized_view(schema="id LONG, name STRING")
+ |def table_with_string_schema():
+ | return spark.range(5).withColumn("name", lit("test"))
+ |""".stripMargin)
+ .resolve()
+ .validate()
+
+ assert(graph.flows.size == 1)
+ assert(graph.tables.size == 1)
+
+ val table = graph.table(graphIdentifier("table_with_string_schema"))
+ assert(table.specifiedSchema.isDefined)
Review Comment:
nit: shall we simply compare `table.specifiedSchema` with an expected schema
(for example, `StructType.fromDDL(id LONG, name STRING)`)
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