[SPARK-19603][SS] Fix StreamingQuery explain command

## What changes were proposed in this pull request?

`StreamingQuery.explain` doesn't show the correct streaming physical plan right now because `ExplainCommand` receives a runtime batch plan and its `logicalPlan.isStreaming` is always false.

This PR adds `streaming` parameter to `ExplainCommand` to allow `StreamExecution` to specify that it's a streaming plan.

Examples of the explain outputs:

- streaming DataFrame.explain()
```
== Physical Plan ==
*HashAggregate(keys=[value#518], functions=[count(1)])
+- StateStoreSave [value#518], OperatorStateId(<unknown>,0,0), Append, 0
   +- *HashAggregate(keys=[value#518], functions=[merge_count(1)])
      +- StateStoreRestore [value#518], OperatorStateId(<unknown>,0,0)
         +- *HashAggregate(keys=[value#518], functions=[merge_count(1)])
            +- Exchange hashpartitioning(value#518, 5)
               +- *HashAggregate(keys=[value#518], functions=[partial_count(1)])
                  +- *SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true) AS value#518]
                     +- *MapElements <function1>, obj#517: java.lang.String
                        +- *DeserializeToObject value#513.toString, obj#516: java.lang.String
                           +- StreamingRelation MemoryStream[value#513], [value#513]
```

- StreamingQuery.explain(extended = false)
```
== Physical Plan ==
*HashAggregate(keys=[value#518], functions=[count(1)])
+- StateStoreSave [value#518], OperatorStateId(...,0,0), Complete, 0
   +- *HashAggregate(keys=[value#518], functions=[merge_count(1)])
      +- StateStoreRestore [value#518], OperatorStateId(...,0,0)
         +- *HashAggregate(keys=[value#518], functions=[merge_count(1)])
            +- Exchange hashpartitioning(value#518, 5)
               +- *HashAggregate(keys=[value#518], functions=[partial_count(1)])
                  +- *SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true) AS value#518]
                     +- *MapElements <function1>, obj#517: java.lang.String
                        +- *DeserializeToObject value#543.toString, obj#516: java.lang.String
                           +- LocalTableScan [value#543]
```

- StreamingQuery.explain(extended = true)
```
== Parsed Logical Plan ==
Aggregate [value#518], [value#518, count(1) AS count(1)#524L]
+- SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true) AS value#518]
   +- MapElements <function1>, class java.lang.String, [StructField(value,StringType,true)], obj#517: java.lang.String
      +- DeserializeToObject cast(value#543 as string).toString, obj#516: java.lang.String
         +- LocalRelation [value#543]

== Analyzed Logical Plan ==
value: string, count(1): bigint
Aggregate [value#518], [value#518, count(1) AS count(1)#524L]
+- SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true) AS value#518]
   +- MapElements <function1>, class java.lang.String, [StructField(value,StringType,true)], obj#517: java.lang.String
      +- DeserializeToObject cast(value#543 as string).toString, obj#516: java.lang.String
         +- LocalRelation [value#543]

== Optimized Logical Plan ==
Aggregate [value#518], [value#518, count(1) AS count(1)#524L]
+- SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true) AS value#518]
   +- MapElements <function1>, class java.lang.String, [StructField(value,StringType,true)], obj#517: java.lang.String
      +- DeserializeToObject value#543.toString, obj#516: java.lang.String
         +- LocalRelation [value#543]

== Physical Plan ==
*HashAggregate(keys=[value#518], functions=[count(1)], output=[value#518, count(1)#524L])
+- StateStoreSave [value#518], OperatorStateId(...,0,0), Complete, 0
   +- *HashAggregate(keys=[value#518], functions=[merge_count(1)], output=[value#518, count#530L])
      +- StateStoreRestore [value#518], OperatorStateId(...,0,0)
         +- *HashAggregate(keys=[value#518], functions=[merge_count(1)], output=[value#518, count#530L])
            +- Exchange hashpartitioning(value#518, 5)
               +- *HashAggregate(keys=[value#518], functions=[partial_count(1)], output=[value#518, count#530L])
                  +- *SerializeFromObject [staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType, fromString, input[0, java.lang.String, true], true) AS value#518]
                     +- *MapElements <function1>, obj#517: java.lang.String
                        +- *DeserializeToObject value#543.toString, obj#516: java.lang.String
                           +- LocalTableScan [value#543]
```

## How was this patch tested?

The updated unit test.

Author: Shixiong Zhu <shixiong@databricks.com>

Closes #16934 from zsxwing/SPARK-19603.

1 files changed, 24 insertions, 4 deletions

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamSuite.scala
index f31dc8add4..0296a2ade3 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamSuite.scala
@@ -22,7 +22,9 @@ import scala.util.control.ControlThrowable
 
 import org.apache.spark.sql._
 import org.apache.spark.sql.catalyst.streaming.InternalOutputModes
+import org.apache.spark.sql.execution.command.ExplainCommand
 import org.apache.spark.sql.execution.streaming._
+import org.apache.spark.sql.functions._
 import org.apache.spark.sql.sources.StreamSourceProvider
 import org.apache.spark.sql.types.{IntegerType, StructField, StructType}
 
@@ -277,10 +279,24 @@ class StreamSuite extends StreamTest {
 
   test("explain") {
     val inputData = MemoryStream[String]
-    val df = inputData.toDS().map(_ + "foo")
-    // Test `explain` not throwing errors
-    df.explain()
-    val q = df.writeStream.queryName("memory_explain").format("memory").start()
+    val df = inputData.toDS().map(_ + "foo").groupBy("value").agg(count("*"))
+
+    // Test `df.explain`
+    val explain = ExplainCommand(df.queryExecution.logical, extended = false)
+    val explainString =
+      spark.sessionState
+        .executePlan(explain)
+        .executedPlan
+        .executeCollect()
+        .map(_.getString(0))
+        .mkString("\n")
+    assert(explainString.contains("StateStoreRestore"))
+    assert(explainString.contains("StreamingRelation"))
+    assert(!explainString.contains("LocalTableScan"))
+
+    // Test StreamingQuery.display
+    val q = df.writeStream.queryName("memory_explain").outputMode("complete").format("memory")
+      .start()
       .asInstanceOf[StreamingQueryWrapper]
       .streamingQuery
     try {
@@ -294,12 +310,16 @@ class StreamSuite extends StreamTest {
       // `extended = false` only displays the physical plan.
       assert("LocalRelation".r.findAllMatchIn(explainWithoutExtended).size === 0)
       assert("LocalTableScan".r.findAllMatchIn(explainWithoutExtended).size === 1)
+      // Use "StateStoreRestore" to verify that it does output a streaming physical plan
+      assert(explainWithoutExtended.contains("StateStoreRestore"))
 
       val explainWithExtended = q.explainInternal(true)
       // `extended = true` displays 3 logical plans (Parsed/Optimized/Optimized) and 1 physical
       // plan.
       assert("LocalRelation".r.findAllMatchIn(explainWithExtended).size === 3)
       assert("LocalTableScan".r.findAllMatchIn(explainWithExtended).size === 1)
+      // Use "StateStoreRestore" to verify that it does output a streaming physical plan
+      assert(explainWithExtended.contains("StateStoreRestore"))
     } finally {
       q.stop()
     }