ResolveRelations Logical Resolution Rule¶

ResolveRelations is a logical resolution rule that the logical query plan analyzer uses to <> (in a logical query plan), i.e.

• Resolves UnresolvedRelation.md[UnresolvedRelation] logical operators (in InsertIntoTable.md[InsertIntoTable] operators)

• Other uses of UnresolvedRelation

ResolveRelations is a Catalyst rule for transforming logical plans, i.e. Rule[LogicalPlan].

ResolveRelations is part of Resolution fixed-point batch of rules.

Example¶

// Example: InsertIntoTable with UnresolvedRelation
import org.apache.spark.sql.catalyst.dsl.plans._
val plan = table("t1").insertInto(tableName = "t2", overwrite = true)
scala> println(plan.numberedTreeString)
00 'InsertIntoTable 'UnresolvedRelation `t2`, true, false
01 +- 'UnresolvedRelation `t1`

// Register the tables so the following resolution works
sql("CREATE TABLE IF NOT EXISTS t1(id long)")
sql("CREATE TABLE IF NOT EXISTS t2(id long)")

// ResolveRelations is a Scala object of the Analyzer class
// We need an instance of the Analyzer class to access it
import spark.sessionState.analyzer.ResolveRelations
val resolvedPlan = ResolveRelations(plan)
scala> println(resolvedPlan.numberedTreeString)
00 'InsertIntoTable 'UnresolvedRelation `t2`, true, false
01 +- 'SubqueryAlias t1
02    +- 'UnresolvedCatalogRelation `default`.`t1`, org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe

// Example: Other uses of UnresolvedRelation
// Use a temporary view
val v1 = spark.range(1).createOrReplaceTempView("v1")
scala> spark.catalog.listTables.filter($"name" === "v1").show
+----+--------+-----------+---------+-----------+
|name|database|description|tableType|isTemporary|
+----+--------+-----------+---------+-----------+
|  v1|    null|       null|TEMPORARY|       true|
+----+--------+-----------+---------+-----------+

import org.apache.spark.sql.catalyst.dsl.expressions._
val plan = table("v1").select(star())
scala> println(plan.numberedTreeString)
00 'Project [*]
01 +- 'UnresolvedRelation `v1`

val resolvedPlan = ResolveRelations(plan)
scala> println(resolvedPlan.numberedTreeString)
00 'Project [*]
01 +- SubqueryAlias v1
02    +- Range (0, 1, step=1, splits=Some(8))

// Example
import org.apache.spark.sql.catalyst.dsl.plans._
val plan = table(db = "db1", ref = "t1")
scala> println(plan.numberedTreeString)
00 'UnresolvedRelation `db1`.`t1`

// Register the database so the following resolution works
sql("CREATE DATABASE IF NOT EXISTS db1")

val resolvedPlan = ResolveRelations(plan)
scala> println(resolvedPlan.numberedTreeString)
00 'SubqueryAlias t1
01 +- 'UnresolvedCatalogRelation `db1`.`t1`, org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe

=== [[apply]] Applying ResolveRelations to Logical Plan -- apply Method

[source, scala]¶

apply( plan: LogicalPlan): LogicalPlan

NOTE: apply is part of catalyst/Rule.md#apply[Rule Contract] to execute a rule on a spark-sql-LogicalPlan.md[logical plan].

For a InsertIntoTable.md[InsertIntoTable] logical operator with a UnresolvedRelation.md[UnresolvedRelation] child operator, apply <> and executes the EliminateSubqueryAliases.md[EliminateSubqueryAliases] optimization rule.

For a View.md[View] operator, apply substitutes the resolved table for the InsertIntoTable.md[InsertIntoTable] operator (that will be no longer a UnresolvedRelation next time the rule is executed). For View.md[View] operator, apply fail analysis with the exception:

Inserting into a view is not allowed. View: [identifier].

For UnresolvedRelation.md[UnresolvedRelation] logical operators, apply simply <>.

=== [[resolveRelation]] Resolving Relation -- resolveRelation Method

[source, scala]¶

resolveRelation( plan: LogicalPlan): LogicalPlan

resolveRelation...FIXME

NOTE: resolveRelation is used when ResolveRelations rule is <> (for a UnresolvedRelation.md[UnresolvedRelation] logical operator).

=== [[isRunningDirectlyOnFiles]] isRunningDirectlyOnFiles Internal Method

[source, scala]¶

isRunningDirectlyOnFiles(table: TableIdentifier): Boolean¶

isRunningDirectlyOnFiles is enabled (i.e. true) when all of the following conditions hold:

• The database of the input table is defined

• spark.sql.runSQLOnFiles internal configuration property is enabled

• The table is not a temporary table

• The database or the table do not exist (in the SessionCatalog)

NOTE: isRunningDirectlyOnFiles is used exclusively when ResolveRelations <> (as a UnresolvedRelation.md[UnresolvedRelation] leaf logical operator for a table reference).

=== [[lookupTableFromCatalog]] Finding Table in Session-Scoped Catalog of Relational Entities -- lookupTableFromCatalog Internal Method

[source, scala]¶

lookupTableFromCatalog( u: UnresolvedRelation, defaultDatabase: Option[String] = None): LogicalPlan

lookupTableFromCatalog simply requests SessionCatalog to find the table in relational catalogs.

NOTE: lookupTableFromCatalog requests Analyzer for the current SessionCatalog.

NOTE: The table is described using UnresolvedRelation.md#tableIdentifier[TableIdentifier] of the input UnresolvedRelation.

lookupTableFromCatalog fails the analysis phase (by reporting a AnalysisException) when the table or the table's database cannot be found.

NOTE: lookupTableFromCatalog is used when ResolveRelations is <> (for InsertIntoTable.md[InsertIntoTable] with UnresolvedRelation operators) or <> (for "standalone" UnresolvedRelation.md[UnresolvedRelations]).