spark package 源码

  • 2022-10-20
  • 浏览 (284)

spark package 代码

文件路径:/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/package.scala

/*
 * 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

import java.io._
import java.nio.charset.Charset
import java.nio.charset.StandardCharsets.UTF_8
import java.util.concurrent.atomic.AtomicBoolean

import com.google.common.io.ByteStreams

import org.apache.spark.internal.Logging
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.types.{MetadataBuilder, NumericType, StringType}
import org.apache.spark.unsafe.types.UTF8String
import org.apache.spark.util.Utils

package object util extends Logging {

  /** Silences output to stderr or stdout for the duration of f */
  def quietly[A](f: => A): A = {
    val origErr = System.err
    val origOut = System.out
    try {
      System.setErr(new PrintStream((_: Int) => {}))
      System.setOut(new PrintStream((_: Int) => {}))

      f
    } finally {
      System.setErr(origErr)
      System.setOut(origOut)
    }
  }

  def fileToString(file: File, encoding: Charset = UTF_8): String = {
    val inStream = new FileInputStream(file)
    try {
      new String(ByteStreams.toByteArray(inStream), encoding)
    } finally {
      inStream.close()
    }
  }

  def resourceToBytes(
      resource: String,
      classLoader: ClassLoader = Utils.getSparkClassLoader): Array[Byte] = {
    val inStream = classLoader.getResourceAsStream(resource)
    try {
      ByteStreams.toByteArray(inStream)
    } finally {
      inStream.close()
    }
  }

  def resourceToString(
      resource: String,
      encoding: String = UTF_8.name(),
      classLoader: ClassLoader = Utils.getSparkClassLoader): String = {
    new String(resourceToBytes(resource, classLoader), encoding)
  }

  def stringToFile(file: File, str: String): File = {
    Utils.tryWithResource(new PrintWriter(file)) { out =>
      out.write(str)
    }
    file
  }

  def sideBySide(left: String, right: String): Seq[String] = {
    sideBySide(left.split("\n"), right.split("\n"))
  }

  def sideBySide(left: Seq[String], right: Seq[String]): Seq[String] = {
    val maxLeftSize = left.map(_.length).max
    val leftPadded = left ++ Seq.fill(math.max(right.size - left.size, 0))("")
    val rightPadded = right ++ Seq.fill(math.max(left.size - right.size, 0))("")

    leftPadded.zip(rightPadded).map {
      case (l, r) => (if (l == r) " " else "!") + l + (" " * ((maxLeftSize - l.length) + 3)) + r
    }
  }

  def stackTraceToString(t: Throwable): String = {
    val out = new java.io.ByteArrayOutputStream
    Utils.tryWithResource(new PrintWriter(out)) { writer =>
      t.printStackTrace(writer)
      writer.flush()
    }
    new String(out.toByteArray, UTF_8)
  }

  // Replaces attributes, string literals, complex type extractors with their pretty form so that
  // generated column names don't contain back-ticks or double-quotes.
  def usePrettyExpression(e: Expression): Expression = e transform {
    case a: Attribute => new PrettyAttribute(a)
    case Literal(s: UTF8String, StringType) => PrettyAttribute(s.toString, StringType)
    case Literal(v, t: NumericType) if v != null => PrettyAttribute(v.toString, t)
    case Literal(null, dataType) => PrettyAttribute("NULL", dataType)
    case e: GetStructField =>
      val name = e.name.getOrElse(e.childSchema(e.ordinal).name)
      PrettyAttribute(usePrettyExpression(e.child).sql + "." + name, e.dataType)
    case e: GetArrayStructFields =>
      PrettyAttribute(usePrettyExpression(e.child) + "." + e.field.name, e.dataType)
    case r: InheritAnalysisRules =>
      PrettyAttribute(r.makeSQLString(r.parameters.map(toPrettySQL)), r.dataType)
    case c: Cast if !c.getTagValue(Cast.USER_SPECIFIED_CAST).getOrElse(false) =>
      PrettyAttribute(usePrettyExpression(c.child).sql, c.dataType)
    case p: PythonUDF => PrettyPythonUDF(p.name, p.dataType, p.children)
  }

  def quoteIdentifier(name: String): String = {
    // Escapes back-ticks within the identifier name with double-back-ticks, and then quote the
    // identifier with back-ticks.
    "`" + name.replace("`", "``") + "`"
  }

  def quoteNameParts(name: Seq[String]): String = {
    name.map(part => quoteIdentifier(part)).mkString(".")
  }

  def quoteIfNeeded(part: String): String = {
    if (part.matches("[a-zA-Z0-9_]+") && !part.matches("\\d+")) {
      part
    } else {
      s"`${part.replace("`", "``")}`"
    }
  }

  def toPrettySQL(e: Expression): String = usePrettyExpression(e).sql

  def escapeSingleQuotedString(str: String): String = {
    val builder = new StringBuilder

    str.foreach {
      case '\'' => builder ++= s"\\\'"
      case ch => builder += ch
    }

    builder.toString()
  }

  /** Whether we have warned about plan string truncation yet. */
  private val truncationWarningPrinted = new AtomicBoolean(false)

  /**
   * Format a sequence with semantics similar to calling .mkString(). Any elements beyond
   * maxNumToStringFields will be dropped and replaced by a "... N more fields" placeholder.
   *
   * @return the trimmed and formatted string.
   */
  def truncatedString[T](
      seq: Seq[T],
      start: String,
      sep: String,
      end: String,
      maxFields: Int): String = {
    if (seq.length > maxFields) {
      if (truncationWarningPrinted.compareAndSet(false, true)) {
        logWarning(
          "Truncated the string representation of a plan since it was too large. This " +
            s"behavior can be adjusted by setting '${SQLConf.MAX_TO_STRING_FIELDS.key}'.")
      }
      val numFields = math.max(0, maxFields - 1)
      seq.take(numFields).mkString(
        start, sep, sep + "... " + (seq.length - numFields) + " more fields" + end)
    } else {
      seq.mkString(start, sep, end)
    }
  }

  /** Shorthand for calling truncatedString() without start or end strings. */
  def truncatedString[T](seq: Seq[T], sep: String, maxFields: Int): String = {
    truncatedString(seq, "", sep, "", maxFields)
  }

  val METADATA_COL_ATTR_KEY = "__metadata_col"

  implicit class MetadataColumnHelper(attr: Attribute) {
    /**
     * If set, this metadata column can only be accessed with qualifiers, e.g. `qualifiers.col` or
     * `qualifiers.*`. If not set, metadata columns cannot be accessed via star.
     */
    val QUALIFIED_ACCESS_ONLY = "__qualified_access_only"

    def isMetadataCol: Boolean = attr.metadata.contains(METADATA_COL_ATTR_KEY) &&
      attr.metadata.getBoolean(METADATA_COL_ATTR_KEY)

    def qualifiedAccessOnly: Boolean = attr.isMetadataCol &&
      attr.metadata.contains(QUALIFIED_ACCESS_ONLY) &&
      attr.metadata.getBoolean(QUALIFIED_ACCESS_ONLY)

    def markAsQualifiedAccessOnly(): Attribute = attr.withMetadata(
      new MetadataBuilder()
        .withMetadata(attr.metadata)
        .putBoolean(METADATA_COL_ATTR_KEY, true)
        .putBoolean(QUALIFIED_ACCESS_ONLY, true)
        .build()
    )
  }
}

相关信息

spark 源码目录

相关文章

spark ArrayBasedMapBuilder 源码

spark ArrayBasedMapData 源码

spark ArrayData 源码

spark BadRecordException 源码

spark CharVarcharUtils 源码

spark CompressionCodecs 源码

spark DataTypeJsonUtils 源码

spark DateFormatter 源码

spark DateTimeFormatterHelper 源码

spark DateTimeUtils 源码

0  赞