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[SPARK-6145][SQL] fix ORDER BY on nested fields #4904

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[SPARK-6145][SQL] fix ORDER BY on nested fields #4904

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8d6b324
fix 6145 completely
cloud-fan Mar 6, 2015
e383154
handle special cases
cloud-fan Mar 6, 2015
187d97e
feedback for marmbrus
cloud-fan Mar 7, 2015
eab0b43
fix hive tests caused by a mistake
cloud-fan Mar 8, 2015
7b56fb9
minor enhance
cloud-fan Mar 16, 2015
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19 changes: 15 additions & 4 deletions sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,6 @@ package org.apache.spark.sql.catalyst.analysis

import org.apache.spark.util.collection.OpenHashSet
import org.apache.spark.sql.AnalysisException
import org.apache.spark.sql.catalyst.errors.TreeNodeException
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.plans.logical._
import org.apache.spark.sql.catalyst.rules._
Expand Down Expand Up @@ -257,11 +256,24 @@ class Analyzer(catalog: Catalog,

case q: LogicalPlan =>
logTrace(s"Attempting to resolve ${q.simpleString}")
q transformExpressionsUp {
q transformExpressionsUp {
case u @ UnresolvedAttribute(name) if resolver(name, VirtualColumn.groupingIdName) &&
q.isInstanceOf[GroupingAnalytics] =>
// Resolve the virtual column GROUPING__ID for the operator GroupingAnalytics
q.asInstanceOf[GroupingAnalytics].gid
case u @ UnresolvedAttribute(name) if q.isInstanceOf[Sort] =>
val s = q.asInstanceOf[Sort]
val newChild = s.child match {
case Project(list, c) =>
val newList = list.filter {
case Alias(g: GetField, _) => false
case Alias(g: GetItem, _) => false
case _ => true
}
Project(newList, c)
case other => other
}
Sort(s.order, s.global, newChild).resolveChildren(name, resolver).getOrElse(u)
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@yhuai yhuai Mar 25, 2015

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I think it will not work when we have a order by in a subquery and the outer query block try to access the those filtered out fields.

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@yhuai yhuai Mar 25, 2015

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I see. You are creating a fake Sort node in order to resolve the attribute. If the attribute is resolved, use the resolved one to replace the unresolved one.

case u @ UnresolvedAttribute(name) =>
// Leave unchanged if resolution fails. Hopefully will be resolved next round.
val result = q.resolveChildren(name, resolver).getOrElse(u)
Expand Down Expand Up @@ -321,8 +333,7 @@ class Analyzer(catalog: Catalog,
if !s.resolved && p.resolved =>
val unresolved = ordering.flatMap(_.collect { case UnresolvedAttribute(name) => name })
val resolved = unresolved.flatMap(child.resolve(_, resolver))
val requiredAttributes =
AttributeSet(resolved.flatMap(_.collect { case a: Attribute => a }))
val requiredAttributes = AttributeSet(resolved)

val missingInProject = requiredAttributes -- p.output
if (missingInProject.nonEmpty) {
Expand Down
19 changes: 14 additions & 5 deletions sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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Expand Up @@ -1053,10 +1053,19 @@ class SQLQuerySuite extends QueryTest with BeforeAndAfterAll {
test("SPARK-6145: ORDER BY test for nested fields") {
jsonRDD(sparkContext.makeRDD(
"""{"a": {"b": 1, "a": {"a": 1}}, "c": [{"d": 1}]}""" :: Nil)).registerTempTable("nestedOrder")
// These should be successfully analyzed
sql("SELECT 1 FROM nestedOrder ORDER BY a.b").queryExecution.analyzed
sql("SELECT a.b FROM nestedOrder ORDER BY a.b").queryExecution.analyzed
sql("SELECT 1 FROM nestedOrder ORDER BY a.a.a").queryExecution.analyzed
sql("SELECT 1 FROM nestedOrder ORDER BY c[0].d").queryExecution.analyzed

checkAnswer(sql("SELECT 1 FROM nestedOrder ORDER BY a.b"), Row(1))
checkAnswer(sql("SELECT a.b FROM nestedOrder ORDER BY a.b"), Row(1))
checkAnswer(sql("SELECT 1 FROM nestedOrder ORDER BY a.a.a"), Row(1))
checkAnswer(sql("SELECT a.a.a FROM nestedOrder ORDER BY a.a.a"), Row(1))
checkAnswer(sql("SELECT 1 FROM nestedOrder ORDER BY c[0].d"), Row(1))
checkAnswer(sql("SELECT c[0].d FROM nestedOrder ORDER BY c[0].d"), Row(1))
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@yhuai yhuai Mar 25, 2015

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Can you try SELECT d FROM (SELECT c[0].d FROM nestedOrder ORDER BY c[0].d) as tmp?

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@yhuai yhuai Mar 25, 2015

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Please ignore the above comment

}

test("SPARK-6145: special cases") {
jsonRDD(sparkContext.makeRDD(
"""{"a": {"b": [1]}, "b": [{"a": 1}], "c0": {"a": 1}}""" :: Nil)).registerTempTable("t")
checkAnswer(sql("SELECT a.b[0] FROM t ORDER BY c0.a"), Row(1))
checkAnswer(sql("SELECT b[0].a FROM t ORDER BY c0.a"), Row(1))
}
}