[SPARK-13751] [SQL] generate better code for Filter

## What changes were proposed in this pull request?

This PR improve the codegen of Filter by:

1. filter out the rows early if it have null value in it that will cause the condition result in null or false. After this, we could simplify the condition, because the input are not nullable anymore.

2. Split the condition as conjunctive predicates, then check them one by one.

Here is a piece of generated code for Filter in TPCDS Q55:
```java
/* 109 */       /*** CONSUME: Filter ((((isnotnull(d_moy#149) && isnotnull(d_year#147)) && (d_moy#149 = 11)) && (d_year#147 = 1999)) && isnotnull(d_date_sk#141)) */
/* 110 */       /* input[0, int] */
/* 111 */       boolean project_isNull2 = rdd_row.isNullAt(0);
/* 112 */       int project_value2 = project_isNull2 ? -1 : (rdd_row.getInt(0));
/* 113 */       /* input[1, int] */
/* 114 */       boolean project_isNull3 = rdd_row.isNullAt(1);
/* 115 */       int project_value3 = project_isNull3 ? -1 : (rdd_row.getInt(1));
/* 116 */       /* input[2, int] */
/* 117 */       boolean project_isNull4 = rdd_row.isNullAt(2);
/* 118 */       int project_value4 = project_isNull4 ? -1 : (rdd_row.getInt(2));
/* 119 */
/* 120 */       if (project_isNull3) continue;
/* 121 */       if (project_isNull4) continue;
/* 122 */       if (project_isNull2) continue;
/* 123 */
/* 124 */       /* (input[1, int] = 11) */
/* 125 */       boolean filter_value6 = false;
/* 126 */       filter_value6 = project_value3 == 11;
/* 127 */       if (!filter_value6) continue;
/* 128 */
/* 129 */       /* (input[2, int] = 1999) */
/* 130 */       boolean filter_value9 = false;
/* 131 */       filter_value9 = project_value4 == 1999;
/* 132 */       if (!filter_value9) continue;
/* 133 */
/* 134 */       filter_metricValue1.add(1);
/* 135 */
/* 136 */       /*** CONSUME: Project [d_date_sk#141] */
/* 137 */
/* 138 */       project_rowWriter1.write(0, project_value2);
/* 139 */       append(project_result1.copy());
```

## How was this patch tested?

Existing tests.

Author: Davies Liu <davies@databricks.com>

Closes #11585 from davies/gen_filter.

sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegen.scala

@@ -334,7 +334,7 @@ case class WholeStageCodegen(child: SparkPlan) extends UnaryNode with CodegenSup
 
     // try to compile, helpful for debug
     val cleanedSource = CodeFormatter.stripExtraNewLines(source)
-    // println(s"${CodeFormatter.format(cleanedSource)}")
+    logDebug(s"${CodeFormatter.format(cleanedSource)}")
     CodeGenerator.compile(cleanedSource)
 
     val rdds = child.asInstanceOf[CodegenSupport].upstreams()

sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala

@@ -74,8 +74,27 @@ case class Project(projectList: Seq[NamedExpression], child: SparkPlan)
 }
 
 
-case class Filter(condition: Expression, child: SparkPlan) extends UnaryNode with CodegenSupport {
-  override def output: Seq[Attribute] = child.output
+case class Filter(condition: Expression, child: SparkPlan)
+  extends UnaryNode with CodegenSupport with PredicateHelper {
+
+  // Split out all the IsNotNulls from condition.
+  private val (notNullPreds, otherPreds) = splitConjunctivePredicates(condition).partition {
+    case IsNotNull(a) if child.output.contains(a) => true
+    case _ => false
+  }
+
+  // The columns that will filtered out by `IsNotNull` could be considered as not nullable.
+  private val notNullAttributes = notNullPreds.flatMap(_.references)
+
+  override def output: Seq[Attribute] = {
+    child.output.map { a =>
+      if (a.nullable && notNullAttributes.contains(a)) {
+        a.withNullability(false)
+      } else {
+        a
+      }
+    }
+  }
 
   private[sql] override lazy val metrics = Map(
     "numOutputRows" -> SQLMetrics.createLongMetric(sparkContext, "number of output rows"))
@@ -90,20 +109,42 @@ case class Filter(condition: Expression, child: SparkPlan) extends UnaryNode wit
 
   override def doConsume(ctx: CodegenContext, input: Seq[ExprCode], row: String): String = {
     val numOutput = metricTerm(ctx, "numOutputRows")
-    val expr = ExpressionCanonicalizer.execute(
-      BindReferences.bindReference(condition, child.output))
+
+    // filter out the nulls
+    val filterOutNull = notNullAttributes.map { a =>
+      val idx = child.output.indexOf(a)
+      s"if (${input(idx).isNull}) continue;"
+    }.mkString("\n")
+
     ctx.currentVars = input
-    val eval = expr.gen(ctx)
-    val nullCheck = if (expr.nullable) {
-      s"!${eval.isNull} &&"
-    } else {
-      s""
+    val predicates = otherPreds.map { e =>
+      val bound = ExpressionCanonicalizer.execute(
+        BindReferences.bindReference(e, output))
+      val ev = bound.gen(ctx)
+      val nullCheck = if (bound.nullable) {
+        s"${ev.isNull} || "
+      } else {
+        s""
+      }
+      s"""
+         |${ev.code}
+         |if (${nullCheck}!${ev.value}) continue;
+       """.stripMargin
+    }.mkString("\n")
+
+    // Reset the isNull to false for the not-null columns, then the followed operators could
+    // generate better code (remove dead branches).
+    val resultVars = input.zipWithIndex.map { case (ev, i) =>
+      if (notNullAttributes.contains(child.output(i))) {
+        ev.isNull = "false"
+      }
+      ev
     }
     s"""
-       |${eval.code}
-       |if (!($nullCheck ${eval.value})) continue;
+       |$filterOutNull
+       |$predicates
        |$numOutput.add(1);
-       |${consume(ctx, ctx.currentVars)}
+       |${consume(ctx, resultVars)}
      """.stripMargin
   }
 

sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastNestedLoopJoin.scala

@@ -55,7 +55,9 @@ case class BroadcastNestedLoopJoin(
       UnsafeProjection.create(output, output)
     } else {
       // Always put the stream side on left to simplify implementation
-      UnsafeProjection.create(output, streamed.output ++ broadcast.output)
+      // both of left and right side could be null
+      UnsafeProjection.create(
+        output, (streamed.output ++ broadcast.output).map(_.withNullability(true)))
     }
   }