amaliujia commented on code in PR #38406:
URL: https://github.com/apache/spark/pull/38406#discussion_r1006399748
##########
connector/connect/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala:
##########
@@ -30,181 +36,140 @@ import
org.apache.spark.sql.catalyst.plans.logical.LocalRelation
*/
class SparkConnectProtoSuite extends PlanTest with SparkConnectPlanTest {
- lazy val connectTestRelation = createLocalRelationProto(Seq($"id".int,
$"name".string))
+ lazy val connectTestRelation =
+ createLocalRelationProto(
+ Seq(AttributeReference("id", IntegerType)(), AttributeReference("name",
StringType)()))
- lazy val connectTestRelation2 = createLocalRelationProto(
- Seq($"key".int, $"value".int, $"name".string))
+ lazy val connectTestRelation2 =
+ createLocalRelationProto(
+ Seq(AttributeReference("id", IntegerType)(), AttributeReference("name",
StringType)()))
- lazy val sparkTestRelation: LocalRelation = LocalRelation($"id".int,
$"name".string)
+ lazy val sparkTestRelation: LocalRelation =
+ LocalRelation(
+ AttributeReference("id", IntegerType)(),
+ AttributeReference("name", StringType)())
lazy val sparkTestRelation2: LocalRelation =
- LocalRelation($"key".int, $"value".int, $"name".string)
+ LocalRelation(
+ AttributeReference("id", IntegerType)(),
+ AttributeReference("name", StringType)())
test("Basic select") {
- val connectPlan = {
- // TODO: Scala only allows one implicit per scope so we keep proto
implicit imports in
- // this scope. Need to find a better way to make two implicits work in
the same scope.
- import org.apache.spark.sql.connect.dsl.expressions._
- import org.apache.spark.sql.connect.dsl.plans._
- transform(connectTestRelation.select("id".protoAttr))
- }
- val sparkPlan = sparkTestRelation.select($"id")
- comparePlans(connectPlan.analyze, sparkPlan.analyze, false)
+ val connectPlan = connectTestRelation.select("id".protoAttr)
+ val sparkPlan = sparkTestRelation.select("id")
Review Comment:
Done. Just use `spark.createDataFrame` which returns the DataFrame. Later if
there is a need we can also use this API to populate some data and then test
result.
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