Github user dongjoon-hyun commented on a diff in the pull request: https://github.com/apache/spark/pull/19651#discussion_r149310585 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcUtils.scala --- @@ -0,0 +1,370 @@ +/* + * 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.execution.datasources.orc + +import java.io.IOException + +import scala.collection.JavaConverters._ +import scala.collection.mutable.ArrayBuffer + +import org.apache.hadoop.conf.Configuration +import org.apache.hadoop.fs.{FileStatus, Path} +import org.apache.hadoop.io._ +import org.apache.orc.{OrcFile, TypeDescription} +import org.apache.orc.mapred.{OrcList, OrcMap, OrcStruct, OrcTimestamp} +import org.apache.orc.storage.common.`type`.HiveDecimal +import org.apache.orc.storage.serde2.io.{DateWritable, HiveDecimalWritable} + +import org.apache.spark.deploy.SparkHadoopUtil +import org.apache.spark.internal.Logging +import org.apache.spark.sql.SparkSession +import org.apache.spark.sql.catalyst.InternalRow +import org.apache.spark.sql.catalyst.analysis.Resolver +import org.apache.spark.sql.catalyst.expressions.SpecificInternalRow +import org.apache.spark.sql.catalyst.parser.CatalystSqlParser +import org.apache.spark.sql.catalyst.util._ +import org.apache.spark.sql.types._ +import org.apache.spark.unsafe.types.UTF8String + +object OrcUtils extends Logging { + + def listOrcFiles(pathStr: String, conf: Configuration): Seq[Path] = { + val origPath = new Path(pathStr) + val fs = origPath.getFileSystem(conf) + val paths = SparkHadoopUtil.get.listLeafStatuses(fs, origPath) + .filterNot(_.isDirectory) + .map(_.getPath) + .filterNot(_.getName.startsWith("_")) + .filterNot(_.getName.startsWith(".")) + paths + } + + private[orc] def readSchema(file: Path, conf: Configuration): Option[TypeDescription] = { + try { + val fs = file.getFileSystem(conf) + val readerOptions = OrcFile.readerOptions(conf).filesystem(fs) + val reader = OrcFile.createReader(file, readerOptions) + val schema = reader.getSchema + if (schema.getFieldNames.size == 0) { + None + } else { + Some(schema) + } + } catch { + case _: IOException => None + } + } + + private[orc] def readSchema(sparkSession: SparkSession, files: Seq[FileStatus]) + : Option[StructType] = { + val conf = sparkSession.sparkContext.hadoopConfiguration + files.map(_.getPath).flatMap(readSchema(_, conf)).headOption.map { schema => --- End diff -- Later, I will implement schema merging in a parallel manner like Parquet.
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