explain(): Unit // (1)
explain(extended: Boolean): Unit
-
Calls
explain
withextended
flag disabled
Dataset.explain
is a high-level operator that prints the logical and (with extended
flag enabled) physical plans to the console.
val records = spark.
readStream.
format("rate").
load
scala> records.explain
== Physical Plan ==
StreamingRelation rate, [timestamp#0, value#1L]
scala> records.explain(extended = true)
== Parsed Logical Plan ==
StreamingRelation DataSource(org.apache.spark.sql.SparkSession@4071aa13,rate,List(),None,List(),None,Map(),None), rate, [timestamp#0, value#1L]
== Analyzed Logical Plan ==
timestamp: timestamp, value: bigint
StreamingRelation DataSource(org.apache.spark.sql.SparkSession@4071aa13,rate,List(),None,List(),None,Map(),None), rate, [timestamp#0, value#1L]
== Optimized Logical Plan ==
StreamingRelation DataSource(org.apache.spark.sql.SparkSession@4071aa13,rate,List(),None,List(),None,Map(),None), rate, [timestamp#0, value#1L]
== Physical Plan ==
StreamingRelation rate, [timestamp#0, value#1L]
Internally, explain
creates a ExplainCommand
runnable command with the logical plan and extended
flag.
explain
then executes the plan with ExplainCommand
runnable command and collects the results that are printed out to the standard output.
Note
|
import org.apache.spark.sql.execution.command.ExplainCommand
val explain = ExplainCommand(...)
spark.sessionState.executePlan(explain) |
For streaming Datasets, ExplainCommand
command simply creates a IncrementalExecution for the SparkSession
and the logical plan.
Note
|
For the purpose of explain , IncrementalExecution is created with the output mode Append , checkpoint location <unknown> , run id a random number, current batch id 0 and offset metadata empty. They do not really matter when explaining the load-part of a streaming query.
|