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[SPARK-18016][SQL] Code Generation: Constant Pool Limit - reduce entries for mutable state #19811

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d441794
update API of addMutableState
kiszk Nov 24, 2017
870d106
eliminate initialization with default value
kiszk Nov 25, 2017
24d7087
allocate a global Java array to store a lot of mutable state in a class
kiszk Nov 26, 2017
3eb5842
fix scala style error
kiszk Nov 26, 2017
074d711
fix test failure of ExpressionEncoderSuite.NestedArray
kiszk Nov 27, 2017
eafa3f8
rebase with master
kiszk Nov 30, 2017
90d15f3
address review comments
kiszk Nov 30, 2017
c456c07
add useFreshname parameter to addMutableState
kiszk Nov 30, 2017
9ca5ab3
rebase with master
kiszk Nov 30, 2017
5b36c61
fix test failures
kiszk Dec 1, 2017
fd51d75
drop to creat a loop for initialization
kiszk Dec 7, 2017
effe918
fix test failure
kiszk Dec 8, 2017
9df109c
update comments
kiszk Dec 8, 2017
634d494
address review comment
kiszk Dec 10, 2017
d3438fd
address review comment
kiszk Dec 12, 2017
f4f3754
address review comment
kiszk Dec 12, 2017
f1e1fca
address review comments except test case
kiszk Dec 13, 2017
0937ef2
rebase with master
kiszk Dec 13, 2017
4bfcc1a
Do not use compaction as possible for frequently-accessed variable
kiszk Dec 13, 2017
49119a9
exclude mutable state from argument list for ExpressionCodegn
kiszk Dec 13, 2017
24f49c5
fix test failures
kiszk Dec 14, 2017
15e967e
address review comments
kiszk Dec 14, 2017
d6c1a97
address review comments
kiszk Dec 14, 2017
a9d40e9
address review comments
kiszk Dec 14, 2017
31914c0
address review comments
kiszk Dec 15, 2017
0e45c19
address review comments
kiszk Dec 19, 2017
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Original file line number Diff line number Diff line change
Expand Up @@ -119,8 +119,7 @@ abstract class Expression extends TreeNode[Expression] {
// TODO: support whole stage codegen too
if (eval.code.trim.length > 1024 && ctx.INPUT_ROW != null && ctx.currentVars == null) {
val setIsNull = if (eval.isNull != "false" && eval.isNull != "true") {
val globalIsNull = ctx.freshName("globalIsNull")
ctx.addMutableState(ctx.JAVA_BOOLEAN, globalIsNull)
val globalIsNull = ctx.addMutableState(ctx.JAVA_BOOLEAN, "globalIsNull")
val localIsNull = eval.isNull
eval.isNull = globalIsNull
s"$globalIsNull = $localIsNull;"
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -65,10 +65,8 @@ case class MonotonicallyIncreasingID() extends LeafExpression with Nondeterminis
}

override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val countTerm = ctx.freshName("count")
val partitionMaskTerm = ctx.freshName("partitionMask")
ctx.addMutableState(ctx.JAVA_LONG, countTerm)
ctx.addMutableState(ctx.JAVA_LONG, partitionMaskTerm)
val countTerm = ctx.addMutableState(ctx.JAVA_LONG, "count")
val partitionMaskTerm = ctx.addMutableState(ctx.JAVA_LONG, "partitionMask")
ctx.addPartitionInitializationStatement(s"$countTerm = 0L;")
ctx.addPartitionInitializationStatement(s"$partitionMaskTerm = ((long) partitionIndex) << 33;")

Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -43,8 +43,7 @@ case class SparkPartitionID() extends LeafExpression with Nondeterministic {
override protected def evalInternal(input: InternalRow): Int = partitionId

override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val idTerm = ctx.freshName("partitionId")
ctx.addMutableState(ctx.JAVA_INT, idTerm)
val idTerm = ctx.addMutableState(ctx.JAVA_INT, "partitionId")
ctx.addPartitionInitializationStatement(s"$idTerm = partitionIndex;")
ev.copy(code = s"final ${ctx.javaType(dataType)} ${ev.value} = $idTerm;", isNull = "false")
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -602,8 +602,7 @@ case class Least(children: Seq[Expression]) extends Expression {

override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val evalChildren = children.map(_.genCode(ctx))
val tmpIsNull = ctx.freshName("leastTmpIsNull")
ctx.addMutableState(ctx.JAVA_BOOLEAN, tmpIsNull)
val tmpIsNull = ctx.addMutableState(ctx.JAVA_BOOLEAN, "leastTmpIsNull")
val evals = evalChildren.map(eval =>
s"""
|${eval.code}
Expand Down Expand Up @@ -683,8 +682,7 @@ case class Greatest(children: Seq[Expression]) extends Expression {

override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val evalChildren = children.map(_.genCode(ctx))
val tmpIsNull = ctx.freshName("greatestTmpIsNull")
ctx.addMutableState(ctx.JAVA_BOOLEAN, tmpIsNull)
val tmpIsNull = ctx.addMutableState(ctx.JAVA_BOOLEAN, "greatestTmpIsNull")
val evals = evalChildren.map(eval =>
s"""
|${eval.code}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -138,21 +138,50 @@ class CodegenContext {

/**
* Holding expressions' mutable states like `MonotonicallyIncreasingID.count` as a
* 3-tuple: java type, variable name, code to init it.
* As an example, ("int", "count", "count = 0;") will produce code:
* 2-tuple: java type, variable name.
* As an example, ("int", "count") will produce code:
* {{{
* private int count;
* }}}
* as a member variable, and add
* {{{
* count = 0;
* }}}
* to the constructor.
* as a member variable
*
* They will be kept as member variables in generated classes like `SpecificProjection`.
*/
val mutableStates: mutable.ArrayBuffer[(String, String, String)] =
mutable.ArrayBuffer.empty[(String, String, String)]
val mutableStates: mutable.ArrayBuffer[(String, String)] =
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rename it to inlinedMutableStates?

mutable.ArrayBuffer.empty[(String, String)]

// An map keyed by mutable states' types holds the status of mutableStateArray
val mutableStateArrayMap: mutable.Map[String, MutableStateArrays] =
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arrayCompactedMutaleStates?

mutable.Map.empty[String, MutableStateArrays]

// An array holds the code that will initialize each state
val mutableStateInitCodes: mutable.ArrayBuffer[String] =
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nit: since code is uncountable, maybe we can rename to mutableStatesInitCode

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You are right in English. We are seeing some codes variable in source files. Is this renaming a big deal?
WDYT?

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I don't think it is a big deal, but I remember a note by @gatorsmile who advised not to use it anymore.

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yea let's use code, I picked codes previously by mistake, you can also fix all of them.

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Sure, I would appreciate it if you put the link to a note

mutable.ArrayBuffer.empty[String]

// Holding names and current index of mutableStateArrays for a certain type
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The comment is too simple. Let's explain it more.

class MutableStateArrays {
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Can we add a java type string into this as parameter. So we can let the array name with type info?

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do we need to? the generated code looks like

String[] mutableStateArray1 = ...

So the type info is already there.

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oh, right.

val arrayNames = mutable.ListBuffer.empty[String]
createNewArray()

private[this] var currentIndex = 0

private def createNewArray() = arrayNames.append(freshName("mutableStateArray"))

def getCurrentIndex: Int = currentIndex

def getNextSlot(): String = {
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/**
 * Returns the reference of next available slot in current compacted array. The size of each compacted array
 * is controlled by the config `CodeGenerator.MUTABLESTATEARRAY_SIZE_LIMIT`. Once reaching the
 * threshold, new compacted array is created.
 */

if (currentIndex < CodeGenerator.MUTABLESTATEARRAY_SIZE_LIMIT) {
val res = s"${arrayNames.last}[$currentIndex]"
currentIndex += 1
res
} else {
createNewArray()
currentIndex = 1
s"${arrayNames.last}[0]"
}
}

}

/**
* Add a mutable state as a field to the generated class. c.f. the comments above.
Expand All @@ -163,11 +192,49 @@ class CodegenContext {
* the list of default imports available.
* Also, generic type arguments are accepted but ignored.
* @param variableName Name of the field.
* @param initCode The statement(s) to put into the init() method to initialize this field.
* @param initFunc Function includes statement(s) to put into the init() method to initialize
* this field. The argument is the name of the mutable state variable.
* If left blank, the field will be default-initialized.
* @param forceInline whether the declaration and initialization code may be inlined rather than
* compacted. Please set `true` into forceInline, if you want to access the
* status fast (e.g. frequently accessed) or if you want to use the original
* variable name
* @param useFreshName If false and inline is true, the name is not changed
* @return the name of the mutable state variable, which is either the original name if the
* variable is inlined to the outer class, or an array access if the variable is to be
* stored in an array of variables of the same type and initialization.
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of same type and initialization

* There are two use cases. One is to use the original name for global variable instead
* of fresh name. Second is to use the original initialization statement since it is
* complex (e.g. allocate multi-dimensional array or object constructor has varibles).
* Primitive type variables will be inlined into outer class when the total number of
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Some sentences here are not related to return doc. We should put it to proper place, maybe move them above the param doc.

* mutable variables is less than `CodeGenerator.OUTER_CLASS_VARIABLES_THRESHOLD`
* the max size of an array for compaction is given by
* `CodeGenerator.MUTABLESTATEARRAY_SIZE_LIMIT`.
*/
def addMutableState(javaType: String, variableName: String, initCode: String = ""): Unit = {
mutableStates += ((javaType, variableName, initCode))
def addMutableState(
javaType: String,
variableName: String,
initFunc: String => String = _ => "",
forceInline: Boolean = false,
useFreshName: Boolean = true): String = {
val varName = if (useFreshName) freshName(variableName) else variableName
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instead of calling freshName here and adding a useFreshName parameter, can we follow the previous style and ask the caller side to guarantee the given name is unique? i.e. call freshName at caller side

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Since I noticed that most of caller sides executes freshName, I decided to use the new style that can simply caller code. If a developer want to guarantee the given name is unique at caller site (currently, they are only several cases), it is OK by using useFreshName = true.

Do we need redundant code at caller side? WDYT? @cloud-fan

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isn't it an existing problem? Let's fix it in another PR to make this PR more consistent with the previous code.

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Sure, let us discuss in another PR.

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I think this can be moved in the if for clarity

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Good catch


// want to put a primitive type variable at outerClass for performance
val canInlinePrimitive = isPrimitiveType(javaType) &&
(mutableStates.length < CodeGenerator.OUTER_CLASS_VARIABLES_THRESHOLD)
if (forceInline || canInlinePrimitive || javaType.contains("[][]")) {
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Explain what conditions we do inline the state in comment.

val initCode = initFunc(varName)
mutableStates += ((javaType, varName))
mutableStateInitCodes += initCode
varName
} else {
val arrays = mutableStateArrayMap.getOrElseUpdate(javaType, new MutableStateArrays)
val element = arrays.getNextSlot()

val initCode = initFunc(element)
mutableStateInitCodes += initCode
element
}
}

/**
Expand All @@ -176,8 +243,7 @@ class CodegenContext {
* data types like: UTF8String, ArrayData, MapData & InternalRow.
*/
def addBufferedState(dataType: DataType, variableName: String, initCode: String): ExprCode = {
val value = freshName(variableName)
addMutableState(javaType(dataType), value, "")
val value = addMutableState(javaType(dataType), variableName)
val code = dataType match {
case StringType => s"$value = $initCode.clone();"
case _: StructType | _: ArrayType | _: MapType => s"$value = $initCode.copy();"
Expand All @@ -189,15 +255,37 @@ class CodegenContext {
def declareMutableStates(): String = {
// It's possible that we add same mutable state twice, e.g. the `mergeExpressions` in
// `TypedAggregateExpression`, we should call `distinct` here to remove the duplicated ones.
mutableStates.distinct.map { case (javaType, variableName, _) =>
val inlinedStates = mutableStates.distinct.map { case (javaType, variableName) =>
s"private $javaType $variableName;"
}.mkString("\n")
}

val arrayStates = mutableStateArrayMap.flatMap { case (javaType, mutableStateArrays) =>
val numArrays = mutableStateArrays.arrayNames.size
mutableStateArrays.arrayNames.zipWithIndex.map { case (arrayName, index) =>
val length = if (index + 1 == numArrays) {
mutableStateArrays.getCurrentIndex
} else {
CodeGenerator.MUTABLESTATEARRAY_SIZE_LIMIT
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why can't we always use mutableStateArrays.getCurrentIndex?

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one type can have multiple arrays if there are many global variables of this type. The getCurrentIndex is the index of the array to be filled, and other arrays are already full and their size is MUTABLESTATEARRAY_SIZE_LIMIT.

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sorry, stupid question.

}
if (javaType.contains("[]")) {
// initializer had an one-dimensional array variable
val baseType = javaType.substring(0, javaType.length - 2)
s"private $javaType[] $arrayName = new $baseType[$length][];"
} else {
// initializer had a scalar variable
s"private $javaType[] $arrayName = new $javaType[$length];"
}
}
}

(inlinedStates ++ arrayStates).mkString("\n")
}

def initMutableStates(): String = {
// It's possible that we add same mutable state twice, e.g. the `mergeExpressions` in
// `TypedAggregateExpression`, we should call `distinct` here to remove the duplicated ones.
val initCodes = mutableStates.distinct.map(_._3 + "\n")
val initCodes = mutableStateInitCodes.distinct

// The generated initialization code may exceed 64kb function size limit in JVM if there are too
// many mutable states, so split it into multiple functions.
splitExpressions(expressions = initCodes, funcName = "init", arguments = Nil)
Expand Down Expand Up @@ -1039,9 +1127,8 @@ class CodegenContext {
// 2. Less code.
// Currently, we will do this for all non-leaf only expression trees (i.e. expr trees with
// at least two nodes) as the cost of doing it is expected to be low.
addMutableState(JAVA_BOOLEAN, isNull, s"$isNull = false;")
addMutableState(javaType(expr.dataType), value,
s"$value = ${defaultValue(expr.dataType)};")
addMutableState(JAVA_BOOLEAN, isNull, forceInline = true, useFreshName = false)
addMutableState(javaType(expr.dataType), value, forceInline = true, useFreshName = false)
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can we do

val isNull = addMutableState(JAVA_BOOLEAN, "subExprIsNull")
val value = addMutableState(javaType(expr.dataType), "subExprValue")
val fn = ...

at the beginning?


subexprFunctions += s"${addNewFunction(fnName, fn)}($INPUT_ROW);"
val state = SubExprEliminationState(isNull, value)
Expand Down Expand Up @@ -1165,6 +1252,15 @@ object CodeGenerator extends Logging {
// class.
val GENERATED_CLASS_SIZE_THRESHOLD = 1000000

// This is the threshold for the number of global variables, whose types are primitive type or
// complex type (e.g. more than one-dimensional array), that will be placed at the outer class
val OUTER_CLASS_VARIABLES_THRESHOLD = 10000

// This is the maximum number of array elements to keep global variables in one Java array
// 32767 is the maximum integer value that does not require a constant pool entry in a Java
// bytecode instruction
val MUTABLESTATEARRAY_SIZE_LIMIT = 32768

/**
* Compile the Java source code into a Java class, using Janino.
*
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -57,41 +57,35 @@ object GenerateMutableProjection extends CodeGenerator[Seq[Expression], MutableP
case _ => true
}.unzip
val exprVals = ctx.generateExpressions(validExpr, useSubexprElimination)
val projectionCodes = exprVals.zip(index).map {
val projectionCodes: Seq[(String, String, String, Int)] = exprVals.zip(index).map {
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add a comment to explain this tuple-4

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Why needs to return column index?

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I see.

case (ev, i) =>
val e = expressions(i)
val value = ctx.addMutableState(ctx.javaType(e.dataType), "value")
if (e.nullable) {
val isNull = s"isNull_$i"
val value = s"value_$i"
ctx.addMutableState(ctx.JAVA_BOOLEAN, isNull, s"$isNull = true;")
ctx.addMutableState(ctx.javaType(e.dataType), value,
s"$value = ${ctx.defaultValue(e.dataType)};")
s"""
${ev.code}
$isNull = ${ev.isNull};
$value = ${ev.value};
"""
val isNull = ctx.addMutableState(ctx.JAVA_BOOLEAN, "isNull")
(s"""
|${ev.code}
|$isNull = ${ev.isNull};
|$value = ${ev.value};
""".stripMargin, isNull, value, i)
} else {
val value = s"value_$i"
ctx.addMutableState(ctx.javaType(e.dataType), value,
s"$value = ${ctx.defaultValue(e.dataType)};")
s"""
${ev.code}
$value = ${ev.value};
"""
(s"""
|${ev.code}
|$value = ${ev.value};
""".stripMargin, ev.isNull, value, i)
}
}

// Evaluate all the subexpressions.
val evalSubexpr = ctx.subexprFunctions.mkString("\n")

val updates = validExpr.zip(index).map {
case (e, i) =>
val ev = ExprCode("", s"isNull_$i", s"value_$i")
val updates = validExpr.zip(projectionCodes).map {
case (e, (_, isNull, value, i)) =>
val ev = ExprCode("", isNull, value)
ctx.updateColumn("mutableRow", e.dataType, i, ev, e.nullable)
}

val allProjections = ctx.splitExpressionsWithCurrentInputs(projectionCodes)
val allProjections = ctx.splitExpressionsWithCurrentInputs(projectionCodes.map(_._1))
val allUpdates = ctx.splitExpressionsWithCurrentInputs(updates)

val codeBody = s"""
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -73,9 +73,8 @@ object GenerateUnsafeProjection extends CodeGenerator[Seq[Expression], UnsafePro
bufferHolder: String,
isTopLevel: Boolean = false): String = {
val rowWriterClass = classOf[UnsafeRowWriter].getName
val rowWriter = ctx.freshName("rowWriter")
ctx.addMutableState(rowWriterClass, rowWriter,
s"$rowWriter = new $rowWriterClass($bufferHolder, ${inputs.length});")
val rowWriter = ctx.addMutableState(rowWriterClass, "rowWriter",
v => s"$v = new $rowWriterClass($bufferHolder, ${inputs.length});")

val resetWriter = if (isTopLevel) {
// For top level row writer, it always writes to the beginning of the global buffer holder,
Expand Down Expand Up @@ -186,9 +185,8 @@ object GenerateUnsafeProjection extends CodeGenerator[Seq[Expression], UnsafePro
// Puts `input` in a local variable to avoid to re-evaluate it if it's a statement.
val tmpInput = ctx.freshName("tmpInput")
val arrayWriterClass = classOf[UnsafeArrayWriter].getName
val arrayWriter = ctx.freshName("arrayWriter")
ctx.addMutableState(arrayWriterClass, arrayWriter,
s"$arrayWriter = new $arrayWriterClass();")
val arrayWriter = ctx.addMutableState(arrayWriterClass, "arrayWriter",
v => s"$v = new $arrayWriterClass();")
val numElements = ctx.freshName("numElements")
val index = ctx.freshName("index")

Expand Down Expand Up @@ -318,13 +316,12 @@ object GenerateUnsafeProjection extends CodeGenerator[Seq[Expression], UnsafePro
case _ => true
}

val result = ctx.freshName("result")
ctx.addMutableState("UnsafeRow", result, s"$result = new UnsafeRow(${expressions.length});")
val result = ctx.addMutableState("UnsafeRow", "result",
v => s"$v = new UnsafeRow(${expressions.length});")

val holder = ctx.freshName("holder")
val holderClass = classOf[BufferHolder].getName
ctx.addMutableState(holderClass, holder,
s"$holder = new $holderClass($result, ${numVarLenFields * 32});")
val holder = ctx.addMutableState(holderClass, "holder",
v => s"$v = new $holderClass($result, ${numVarLenFields * 32});")

val resetBufferHolder = if (numVarLenFields == 0) {
""
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -190,8 +190,7 @@ case class CaseWhen(
// It is initialized to `NOT_MATCHED`, and if it's set to `HAS_NULL` or `HAS_NONNULL`,
// We won't go on anymore on the computation.
val resultState = ctx.freshName("caseWhenResultState")
val tmpResult = ctx.freshName("caseWhenTmpResult")
ctx.addMutableState(ctx.javaType(dataType), tmpResult)
val tmpResult = ctx.addMutableState(ctx.javaType(dataType), "caseWhenTmpResult")

// these blocks are meant to be inside a
// do {
Expand Down
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