org.apache.spark.sql.catalyst.expressions.regexpExpressions.scala Maven / Gradle / Ivy
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.catalyst.expressions
import java.util.Locale
import java.util.regex.{Matcher, MatchResult, Pattern}
import scala.collection.JavaConverters._
import scala.collection.mutable.ArrayBuffer
import org.apache.commons.text.StringEscapeUtils
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.{TypeCheckFailure, TypeCheckSuccess}
import org.apache.spark.sql.catalyst.expressions.codegen._
import org.apache.spark.sql.catalyst.expressions.codegen.Block._
import org.apache.spark.sql.catalyst.util.{GenericArrayData, StringUtils}
import org.apache.spark.sql.types._
import org.apache.spark.unsafe.types.UTF8String
abstract class StringRegexExpression extends BinaryExpression
with ImplicitCastInputTypes with NullIntolerant {
def escape(v: String): String
def matches(regex: Pattern, str: String): Boolean
override def dataType: DataType = BooleanType
override def inputTypes: Seq[DataType] = Seq(StringType, StringType)
// try cache foldable pattern
private lazy val cache: Pattern = right match {
case p: Expression if p.foldable =>
compile(p.eval().asInstanceOf[UTF8String].toString)
case _ => null
}
protected def compile(str: String): Pattern = if (str == null) {
null
} else {
// Let it raise exception if couldn't compile the regex string
Pattern.compile(escape(str))
}
protected def pattern(str: String) = if (cache == null) compile(str) else cache
protected override def nullSafeEval(input1: Any, input2: Any): Any = {
val regex = pattern(input2.asInstanceOf[UTF8String].toString)
if(regex == null) {
null
} else {
matches(regex, input1.asInstanceOf[UTF8String].toString)
}
}
override def sql: String = s"${left.sql} ${prettyName.toUpperCase(Locale.ROOT)} ${right.sql}"
}
// scalastyle:off line.contains.tab
/**
* Simple RegEx pattern matching function
*/
@ExpressionDescription(
usage = "str _FUNC_ pattern[ ESCAPE escape] - Returns true if str matches `pattern` with " +
"`escape`, null if any arguments are null, false otherwise.",
arguments = """
Arguments:
* str - a string expression
* pattern - a string expression. The pattern is a string which is matched literally, with
exception to the following special symbols:
_ matches any one character in the input (similar to . in posix regular expressions)
% matches zero or more characters in the input (similar to .* in posix regular
expressions)
Since Spark 2.0, string literals are unescaped in our SQL parser. For example, in order
to match "\abc", the pattern should be "\\abc".
When SQL config 'spark.sql.parser.escapedStringLiterals' is enabled, it fallbacks
to Spark 1.6 behavior regarding string literal parsing. For example, if the config is
enabled, the pattern to match "\abc" should be "\abc".
* escape - an character added since Spark 3.0. The default escape character is the '\'.
If an escape character precedes a special symbol or another escape character, the
following character is matched literally. It is invalid to escape any other character.
""",
examples = """
Examples:
> SELECT _FUNC_('Spark', '_park');
true
> SET spark.sql.parser.escapedStringLiterals=true;
spark.sql.parser.escapedStringLiterals true
> SELECT '%SystemDrive%\Users\John' _FUNC_ '\%SystemDrive\%\\Users%';
true
> SET spark.sql.parser.escapedStringLiterals=false;
spark.sql.parser.escapedStringLiterals false
> SELECT '%SystemDrive%\\Users\\John' _FUNC_ '\%SystemDrive\%\\\\Users%';
true
> SELECT '%SystemDrive%/Users/John' _FUNC_ '/%SystemDrive/%//Users%' ESCAPE '/';
true
""",
note = """
Use RLIKE to match with standard regular expressions.
""",
since = "1.0.0")
// scalastyle:on line.contains.tab
case class Like(left: Expression, right: Expression, escapeChar: Char)
extends StringRegexExpression {
def this(left: Expression, right: Expression) = this(left, right, '\\')
override def escape(v: String): String = StringUtils.escapeLikeRegex(v, escapeChar)
override def matches(regex: Pattern, str: String): Boolean = regex.matcher(str).matches()
override def toString: String = escapeChar match {
case '\\' => s"$left LIKE $right"
case c => s"$left LIKE $right ESCAPE '$c'"
}
override protected def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val patternClass = classOf[Pattern].getName
val escapeFunc = StringUtils.getClass.getName.stripSuffix("$") + ".escapeLikeRegex"
if (right.foldable) {
val rVal = right.eval()
if (rVal != null) {
val regexStr =
StringEscapeUtils.escapeJava(escape(rVal.asInstanceOf[UTF8String].toString()))
val pattern = ctx.addMutableState(patternClass, "patternLike",
v => s"""$v = $patternClass.compile("$regexStr");""")
// We don't use nullSafeCodeGen here because we don't want to re-evaluate right again.
val eval = left.genCode(ctx)
ev.copy(code = code"""
${eval.code}
boolean ${ev.isNull} = ${eval.isNull};
${CodeGenerator.javaType(dataType)} ${ev.value} = ${CodeGenerator.defaultValue(dataType)};
if (!${ev.isNull}) {
${ev.value} = $pattern.matcher(${eval.value}.toString()).matches();
}
""")
} else {
ev.copy(code = code"""
boolean ${ev.isNull} = true;
${CodeGenerator.javaType(dataType)} ${ev.value} = ${CodeGenerator.defaultValue(dataType)};
""")
}
} else {
val pattern = ctx.freshName("pattern")
val rightStr = ctx.freshName("rightStr")
// We need to escape the escapeChar to make sure the generated code is valid.
// Otherwise we'll hit org.codehaus.commons.compiler.CompileException.
val escapedEscapeChar = StringEscapeUtils.escapeJava(escapeChar.toString)
nullSafeCodeGen(ctx, ev, (eval1, eval2) => {
s"""
String $rightStr = $eval2.toString();
$patternClass $pattern = $patternClass.compile(
$escapeFunc($rightStr, '$escapedEscapeChar'));
${ev.value} = $pattern.matcher($eval1.toString()).matches();
"""
})
}
}
}
sealed abstract class MultiLikeBase
extends UnaryExpression with ImplicitCastInputTypes with NullIntolerant {
protected def patterns: Seq[UTF8String]
protected def isNotSpecified: Boolean
override def inputTypes: Seq[DataType] = StringType :: Nil
override def dataType: DataType = BooleanType
override def nullable: Boolean = true
protected lazy val hasNull: Boolean = patterns.contains(null)
protected lazy val cache = patterns.filterNot(_ == null)
.map(s => Pattern.compile(StringUtils.escapeLikeRegex(s.toString, '\\')))
protected lazy val matchFunc = if (isNotSpecified) {
(p: Pattern, inputValue: String) => !p.matcher(inputValue).matches()
} else {
(p: Pattern, inputValue: String) => p.matcher(inputValue).matches()
}
protected def matches(exprValue: String): Any
override def eval(input: InternalRow): Any = {
val exprValue = child.eval(input)
if (exprValue == null) {
null
} else {
matches(exprValue.toString)
}
}
}
/**
* Optimized version of LIKE ALL, when all pattern values are literal.
*/
sealed abstract class LikeAllBase extends MultiLikeBase {
override def matches(exprValue: String): Any = {
if (cache.forall(matchFunc(_, exprValue))) {
if (hasNull) null else true
} else {
false
}
}
override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val eval = child.genCode(ctx)
val patternClass = classOf[Pattern].getName
val javaDataType = CodeGenerator.javaType(child.dataType)
val pattern = ctx.freshName("pattern")
val valueArg = ctx.freshName("valueArg")
val patternCache = ctx.addReferenceObj("patternCache", cache.asJava)
val checkNotMatchCode = if (isNotSpecified) {
s"$pattern.matcher($valueArg.toString()).matches()"
} else {
s"!$pattern.matcher($valueArg.toString()).matches()"
}
ev.copy(code =
code"""
|${eval.code}
|boolean ${ev.isNull} = false;
|boolean ${ev.value} = true;
|if (${eval.isNull}) {
| ${ev.isNull} = true;
|} else {
| $javaDataType $valueArg = ${eval.value};
| for ($patternClass $pattern: $patternCache) {
| if ($checkNotMatchCode) {
| ${ev.value} = false;
| break;
| }
| }
| if (${ev.value} && $hasNull) ${ev.isNull} = true;
|}
""".stripMargin)
}
}
case class LikeAll(child: Expression, patterns: Seq[UTF8String]) extends LikeAllBase {
override def isNotSpecified: Boolean = false
}
case class NotLikeAll(child: Expression, patterns: Seq[UTF8String]) extends LikeAllBase {
override def isNotSpecified: Boolean = true
}
/**
* Optimized version of LIKE ANY, when all pattern values are literal.
*/
sealed abstract class LikeAnyBase extends MultiLikeBase {
override def matches(exprValue: String): Any = {
if (cache.exists(matchFunc(_, exprValue))) {
true
} else {
if (hasNull) null else false
}
}
override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val eval = child.genCode(ctx)
val patternClass = classOf[Pattern].getName
val javaDataType = CodeGenerator.javaType(child.dataType)
val pattern = ctx.freshName("pattern")
val valueArg = ctx.freshName("valueArg")
val patternCache = ctx.addReferenceObj("patternCache", cache.asJava)
val checkMatchCode = if (isNotSpecified) {
s"!$pattern.matcher($valueArg.toString()).matches()"
} else {
s"$pattern.matcher($valueArg.toString()).matches()"
}
ev.copy(code =
code"""
|${eval.code}
|boolean ${ev.isNull} = false;
|boolean ${ev.value} = false;
|if (${eval.isNull}) {
| ${ev.isNull} = true;
|} else {
| $javaDataType $valueArg = ${eval.value};
| for ($patternClass $pattern: $patternCache) {
| if ($checkMatchCode) {
| ${ev.value} = true;
| break;
| }
| }
| if (!${ev.value} && $hasNull) ${ev.isNull} = true;
|}
""".stripMargin)
}
}
case class LikeAny(child: Expression, patterns: Seq[UTF8String]) extends LikeAnyBase {
override def isNotSpecified: Boolean = false
}
case class NotLikeAny(child: Expression, patterns: Seq[UTF8String]) extends LikeAnyBase {
override def isNotSpecified: Boolean = true
}
// scalastyle:off line.contains.tab
@ExpressionDescription(
usage = "str _FUNC_ regexp - Returns true if `str` matches `regexp`, or false otherwise.",
arguments = """
Arguments:
* str - a string expression
* regexp - a string expression. The regex string should be a Java regular expression.
Since Spark 2.0, string literals (including regex patterns) are unescaped in our SQL
parser. For example, to match "\abc", a regular expression for `regexp` can be
"^\\abc$".
There is a SQL config 'spark.sql.parser.escapedStringLiterals' that can be used to
fallback to the Spark 1.6 behavior regarding string literal parsing. For example,
if the config is enabled, the `regexp` that can match "\abc" is "^\abc$".
""",
examples = """
Examples:
> SET spark.sql.parser.escapedStringLiterals=true;
spark.sql.parser.escapedStringLiterals true
> SELECT '%SystemDrive%\Users\John' _FUNC_ '%SystemDrive%\\Users.*';
true
> SET spark.sql.parser.escapedStringLiterals=false;
spark.sql.parser.escapedStringLiterals false
> SELECT '%SystemDrive%\\Users\\John' _FUNC_ '%SystemDrive%\\\\Users.*';
true
""",
note = """
Use LIKE to match with simple string pattern.
""",
since = "1.0.0")
// scalastyle:on line.contains.tab
case class RLike(left: Expression, right: Expression) extends StringRegexExpression {
override def escape(v: String): String = v
override def matches(regex: Pattern, str: String): Boolean = regex.matcher(str).find(0)
override def toString: String = s"$left RLIKE $right"
override protected def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val patternClass = classOf[Pattern].getName
if (right.foldable) {
val rVal = right.eval()
if (rVal != null) {
val regexStr =
StringEscapeUtils.escapeJava(rVal.asInstanceOf[UTF8String].toString())
val pattern = ctx.addMutableState(patternClass, "patternRLike",
v => s"""$v = $patternClass.compile("$regexStr");""")
// We don't use nullSafeCodeGen here because we don't want to re-evaluate right again.
val eval = left.genCode(ctx)
ev.copy(code = code"""
${eval.code}
boolean ${ev.isNull} = ${eval.isNull};
${CodeGenerator.javaType(dataType)} ${ev.value} = ${CodeGenerator.defaultValue(dataType)};
if (!${ev.isNull}) {
${ev.value} = $pattern.matcher(${eval.value}.toString()).find(0);
}
""")
} else {
ev.copy(code = code"""
boolean ${ev.isNull} = true;
${CodeGenerator.javaType(dataType)} ${ev.value} = ${CodeGenerator.defaultValue(dataType)};
""")
}
} else {
val rightStr = ctx.freshName("rightStr")
val pattern = ctx.freshName("pattern")
nullSafeCodeGen(ctx, ev, (eval1, eval2) => {
s"""
String $rightStr = $eval2.toString();
$patternClass $pattern = $patternClass.compile($rightStr);
${ev.value} = $pattern.matcher($eval1.toString()).find(0);
"""
})
}
}
}
/**
* Splits str around matches of the given regex.
*/
@ExpressionDescription(
usage = "_FUNC_(str, regex, limit) - Splits `str` around occurrences that match `regex`" +
" and returns an array with a length of at most `limit`",
arguments = """
Arguments:
* str - a string expression to split.
* regex - a string representing a regular expression. The regex string should be a
Java regular expression.
* limit - an integer expression which controls the number of times the regex is applied.
* limit > 0: The resulting array's length will not be more than `limit`,
and the resulting array's last entry will contain all input
beyond the last matched regex.
* limit <= 0: `regex` will be applied as many times as possible, and
the resulting array can be of any size.
""",
examples = """
Examples:
> SELECT _FUNC_('oneAtwoBthreeC', '[ABC]');
["one","two","three",""]
> SELECT _FUNC_('oneAtwoBthreeC', '[ABC]', -1);
["one","two","three",""]
> SELECT _FUNC_('oneAtwoBthreeC', '[ABC]', 2);
["one","twoBthreeC"]
""",
since = "1.5.0")
case class StringSplit(str: Expression, regex: Expression, limit: Expression)
extends TernaryExpression with ImplicitCastInputTypes with NullIntolerant {
override def dataType: DataType = ArrayType(StringType)
override def inputTypes: Seq[DataType] = Seq(StringType, StringType, IntegerType)
override def children: Seq[Expression] = str :: regex :: limit :: Nil
def this(exp: Expression, regex: Expression) = this(exp, regex, Literal(-1));
override def nullSafeEval(string: Any, regex: Any, limit: Any): Any = {
val strings = string.asInstanceOf[UTF8String].split(
regex.asInstanceOf[UTF8String], limit.asInstanceOf[Int])
new GenericArrayData(strings.asInstanceOf[Array[Any]])
}
override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val arrayClass = classOf[GenericArrayData].getName
nullSafeCodeGen(ctx, ev, (str, regex, limit) => {
// Array in java is covariant, so we don't need to cast UTF8String[] to Object[].
s"""${ev.value} = new $arrayClass($str.split($regex,$limit));""".stripMargin
})
}
override def prettyName: String = "split"
}
/**
* Replace all substrings of str that match regexp with rep.
*
* NOTE: this expression is not THREAD-SAFE, as it has some internal mutable status.
*/
// scalastyle:off line.size.limit
@ExpressionDescription(
usage = "_FUNC_(str, regexp, rep[, position]) - Replaces all substrings of `str` that match `regexp` with `rep`.",
arguments = """
Arguments:
* str - a string expression to search for a regular expression pattern match.
* regexp - a string representing a regular expression. The regex string should be a
Java regular expression.
Since Spark 2.0, string literals (including regex patterns) are unescaped in our SQL
parser. For example, to match "\abc", a regular expression for `regexp` can be
"^\\abc$".
There is a SQL config 'spark.sql.parser.escapedStringLiterals' that can be used to
fallback to the Spark 1.6 behavior regarding string literal parsing. For example,
if the config is enabled, the `regexp` that can match "\abc" is "^\abc$".
* rep - a string expression to replace matched substrings.
* position - a positive integer literal that indicates the position within `str` to begin searching.
The default is 1. If position is greater than the number of characters in `str`, the result is `str`.
""",
examples = """
Examples:
> SELECT _FUNC_('100-200', '(\\d+)', 'num');
num-num
""",
since = "1.5.0")
// scalastyle:on line.size.limit
case class RegExpReplace(subject: Expression, regexp: Expression, rep: Expression, pos: Expression)
extends QuaternaryExpression with ImplicitCastInputTypes with NullIntolerant {
def this(subject: Expression, regexp: Expression, rep: Expression) =
this(subject, regexp, rep, Literal(1))
override def checkInputDataTypes(): TypeCheckResult = {
if (!pos.foldable) {
return TypeCheckFailure(s"Position expression must be foldable, but got $pos")
}
val posEval = pos.eval()
if (posEval == null || posEval.asInstanceOf[Int] > 0) {
TypeCheckSuccess
} else {
TypeCheckFailure(s"Position expression must be positive, but got: $posEval")
}
}
// last regex in string, we will update the pattern iff regexp value changed.
@transient private var lastRegex: UTF8String = _
// last regex pattern, we cache it for performance concern
@transient private var pattern: Pattern = _
// last replacement string, we don't want to convert a UTF8String => java.langString every time.
@transient private var lastReplacement: String = _
@transient private var lastReplacementInUTF8: UTF8String = _
// result buffer write by Matcher
@transient private lazy val result: StringBuffer = new StringBuffer
override def nullSafeEval(s: Any, p: Any, r: Any, i: Any): Any = {
if (!p.equals(lastRegex)) {
// regex value changed
lastRegex = p.asInstanceOf[UTF8String].clone()
pattern = Pattern.compile(lastRegex.toString)
}
if (!r.equals(lastReplacementInUTF8)) {
// replacement string changed
lastReplacementInUTF8 = r.asInstanceOf[UTF8String].clone()
lastReplacement = lastReplacementInUTF8.toString
}
val source = s.toString()
val position = i.asInstanceOf[Int] - 1
if (position < source.length) {
val m = pattern.matcher(source)
m.region(position, source.length)
result.delete(0, result.length())
while (m.find) {
m.appendReplacement(result, lastReplacement)
}
m.appendTail(result)
UTF8String.fromString(result.toString)
} else {
s
}
}
override def dataType: DataType = StringType
override def inputTypes: Seq[AbstractDataType] =
Seq(StringType, StringType, StringType, IntegerType)
override def children: Seq[Expression] = subject :: regexp :: rep :: pos :: Nil
override def prettyName: String = "regexp_replace"
override protected def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val termResult = ctx.freshName("termResult")
val classNamePattern = classOf[Pattern].getCanonicalName
val classNameStringBuffer = classOf[java.lang.StringBuffer].getCanonicalName
val matcher = ctx.freshName("matcher")
val source = ctx.freshName("source")
val position = ctx.freshName("position")
val termLastRegex = ctx.addMutableState("UTF8String", "lastRegex")
val termPattern = ctx.addMutableState(classNamePattern, "pattern")
val termLastReplacement = ctx.addMutableState("String", "lastReplacement")
val termLastReplacementInUTF8 = ctx.addMutableState("UTF8String", "lastReplacementInUTF8")
val setEvNotNull = if (nullable) {
s"${ev.isNull} = false;"
} else {
""
}
nullSafeCodeGen(ctx, ev, (subject, regexp, rep, pos) => {
s"""
if (!$regexp.equals($termLastRegex)) {
// regex value changed
$termLastRegex = $regexp.clone();
$termPattern = $classNamePattern.compile($termLastRegex.toString());
}
if (!$rep.equals($termLastReplacementInUTF8)) {
// replacement string changed
$termLastReplacementInUTF8 = $rep.clone();
$termLastReplacement = $termLastReplacementInUTF8.toString();
}
String $source = $subject.toString();
int $position = $pos - 1;
if ($position < $source.length()) {
$classNameStringBuffer $termResult = new $classNameStringBuffer();
java.util.regex.Matcher $matcher = $termPattern.matcher($source);
$matcher.region($position, $source.length());
while ($matcher.find()) {
$matcher.appendReplacement($termResult, $termLastReplacement);
}
$matcher.appendTail($termResult);
${ev.value} = UTF8String.fromString($termResult.toString());
$termResult = null;
} else {
${ev.value} = $subject;
}
$setEvNotNull
"""
})
}
}
object RegExpReplace {
def apply(subject: Expression, regexp: Expression, rep: Expression): RegExpReplace =
new RegExpReplace(subject, regexp, rep)
}
object RegExpExtractBase {
def checkGroupIndex(groupCount: Int, groupIndex: Int): Unit = {
if (groupIndex < 0) {
throw new IllegalArgumentException("The specified group index cannot be less than zero")
} else if (groupCount < groupIndex) {
throw new IllegalArgumentException(
s"Regex group count is $groupCount, but the specified group index is $groupIndex")
}
}
}
abstract class RegExpExtractBase
extends TernaryExpression with ImplicitCastInputTypes with NullIntolerant {
def subject: Expression
def regexp: Expression
def idx: Expression
// last regex in string, we will update the pattern iff regexp value changed.
@transient private var lastRegex: UTF8String = _
// last regex pattern, we cache it for performance concern
@transient private var pattern: Pattern = _
override def inputTypes: Seq[AbstractDataType] = Seq(StringType, StringType, IntegerType)
override def children: Seq[Expression] = subject :: regexp :: idx :: Nil
protected def getLastMatcher(s: Any, p: Any): Matcher = {
if (p != lastRegex) {
// regex value changed
lastRegex = p.asInstanceOf[UTF8String].clone()
pattern = Pattern.compile(lastRegex.toString)
}
pattern.matcher(s.toString)
}
}
/**
* Extract a specific(idx) group identified by a Java regex.
*
* NOTE: this expression is not THREAD-SAFE, as it has some internal mutable status.
*/
@ExpressionDescription(
usage = """
_FUNC_(str, regexp[, idx]) - Extract the first string in the `str` that match the `regexp`
expression and corresponding to the regex group index.
""",
arguments = """
Arguments:
* str - a string expression.
* regexp - a string representing a regular expression. The regex string should be a
Java regular expression.
Since Spark 2.0, string literals (including regex patterns) are unescaped in our SQL
parser. For example, to match "\abc", a regular expression for `regexp` can be
"^\\abc$".
There is a SQL config 'spark.sql.parser.escapedStringLiterals' that can be used to
fallback to the Spark 1.6 behavior regarding string literal parsing. For example,
if the config is enabled, the `regexp` that can match "\abc" is "^\abc$".
* idx - an integer expression that representing the group index. The regex maybe contains
multiple groups. `idx` indicates which regex group to extract. The group index should
be non-negative. The minimum value of `idx` is 0, which means matching the entire
regular expression. If `idx` is not specified, the default group index value is 1. The
`idx` parameter is the Java regex Matcher group() method index.
""",
examples = """
Examples:
> SELECT _FUNC_('100-200', '(\\d+)-(\\d+)', 1);
100
""",
since = "1.5.0")
case class RegExpExtract(subject: Expression, regexp: Expression, idx: Expression)
extends RegExpExtractBase {
def this(s: Expression, r: Expression) = this(s, r, Literal(1))
override def nullSafeEval(s: Any, p: Any, r: Any): Any = {
val m = getLastMatcher(s, p)
if (m.find) {
val mr: MatchResult = m.toMatchResult
val index = r.asInstanceOf[Int]
RegExpExtractBase.checkGroupIndex(mr.groupCount, index)
val group = mr.group(index)
if (group == null) { // Pattern matched, but it's an optional group
UTF8String.EMPTY_UTF8
} else {
UTF8String.fromString(group)
}
} else {
UTF8String.EMPTY_UTF8
}
}
override def dataType: DataType = StringType
override def prettyName: String = "regexp_extract"
override protected def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val classNamePattern = classOf[Pattern].getCanonicalName
val classNameRegExpExtractBase = classOf[RegExpExtractBase].getCanonicalName
val matcher = ctx.freshName("matcher")
val matchResult = ctx.freshName("matchResult")
val termLastRegex = ctx.addMutableState("UTF8String", "lastRegex")
val termPattern = ctx.addMutableState(classNamePattern, "pattern")
val setEvNotNull = if (nullable) {
s"${ev.isNull} = false;"
} else {
""
}
nullSafeCodeGen(ctx, ev, (subject, regexp, idx) => {
s"""
if (!$regexp.equals($termLastRegex)) {
// regex value changed
$termLastRegex = $regexp.clone();
$termPattern = $classNamePattern.compile($termLastRegex.toString());
}
java.util.regex.Matcher $matcher =
$termPattern.matcher($subject.toString());
if ($matcher.find()) {
java.util.regex.MatchResult $matchResult = $matcher.toMatchResult();
$classNameRegExpExtractBase.checkGroupIndex($matchResult.groupCount(), $idx);
if ($matchResult.group($idx) == null) {
${ev.value} = UTF8String.EMPTY_UTF8;
} else {
${ev.value} = UTF8String.fromString($matchResult.group($idx));
}
$setEvNotNull
} else {
${ev.value} = UTF8String.EMPTY_UTF8;
$setEvNotNull
}"""
})
}
}
/**
* Extract all specific(idx) groups identified by a Java regex.
*
* NOTE: this expression is not THREAD-SAFE, as it has some internal mutable status.
*/
@ExpressionDescription(
usage = """
_FUNC_(str, regexp[, idx]) - Extract all strings in the `str` that match the `regexp`
expression and corresponding to the regex group index.
""",
arguments = """
Arguments:
* str - a string expression.
* regexp - a string representing a regular expression. The regex string should be a
Java regular expression.
Since Spark 2.0, string literals (including regex patterns) are unescaped in our SQL
parser. For example, to match "\abc", a regular expression for `regexp` can be
"^\\abc$".
There is a SQL config 'spark.sql.parser.escapedStringLiterals' that can be used to
fallback to the Spark 1.6 behavior regarding string literal parsing. For example,
if the config is enabled, the `regexp` that can match "\abc" is "^\abc$".
* idx - an integer expression that representing the group index. The regex may contains
multiple groups. `idx` indicates which regex group to extract. The group index should
be non-negative. The minimum value of `idx` is 0, which means matching the entire
regular expression. If `idx` is not specified, the default group index value is 1. The
`idx` parameter is the Java regex Matcher group() method index.
""",
examples = """
Examples:
> SELECT _FUNC_('100-200, 300-400', '(\\d+)-(\\d+)', 1);
["100","300"]
""",
since = "3.1.0")
case class RegExpExtractAll(subject: Expression, regexp: Expression, idx: Expression)
extends RegExpExtractBase {
def this(s: Expression, r: Expression) = this(s, r, Literal(1))
override def nullSafeEval(s: Any, p: Any, r: Any): Any = {
val m = getLastMatcher(s, p)
val matchResults = new ArrayBuffer[UTF8String]()
while(m.find) {
val mr: MatchResult = m.toMatchResult
val index = r.asInstanceOf[Int]
RegExpExtractBase.checkGroupIndex(mr.groupCount, index)
val group = mr.group(index)
if (group == null) { // Pattern matched, but it's an optional group
matchResults += UTF8String.EMPTY_UTF8
} else {
matchResults += UTF8String.fromString(group)
}
}
new GenericArrayData(matchResults.toArray.asInstanceOf[Array[Any]])
}
override def dataType: DataType = ArrayType(StringType)
override def prettyName: String = "regexp_extract_all"
override protected def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val classNamePattern = classOf[Pattern].getCanonicalName
val classNameRegExpExtractBase = classOf[RegExpExtractBase].getCanonicalName
val arrayClass = classOf[GenericArrayData].getName
val matcher = ctx.freshName("matcher")
val matchResult = ctx.freshName("matchResult")
val matchResults = ctx.freshName("matchResults")
val termLastRegex = ctx.addMutableState("UTF8String", "lastRegex")
val termPattern = ctx.addMutableState(classNamePattern, "pattern")
val setEvNotNull = if (nullable) {
s"${ev.isNull} = false;"
} else {
""
}
nullSafeCodeGen(ctx, ev, (subject, regexp, idx) => {
s"""
| if (!$regexp.equals($termLastRegex)) {
| // regex value changed
| $termLastRegex = $regexp.clone();
| $termPattern = $classNamePattern.compile($termLastRegex.toString());
| }
| java.util.regex.Matcher $matcher = $termPattern.matcher($subject.toString());
| java.util.ArrayList $matchResults = new java.util.ArrayList();
| while ($matcher.find()) {
| java.util.regex.MatchResult $matchResult = $matcher.toMatchResult();
| $classNameRegExpExtractBase.checkGroupIndex($matchResult.groupCount(), $idx);
| if ($matchResult.group($idx) == null) {
| $matchResults.add(UTF8String.EMPTY_UTF8);
| } else {
| $matchResults.add(UTF8String.fromString($matchResult.group($idx)));
| }
| }
| ${ev.value} =
| new $arrayClass($matchResults.toArray(new UTF8String[$matchResults.size()]));
| $setEvNotNull
"""
})
}
}
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