Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/3269#discussion_r20587290
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/parquet/newParquet.scala ---
@@ -0,0 +1,291 @@
+/*
+ * 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.parquet
+
+import java.util.{List => JList}
+
+import org.apache.hadoop.fs.{FileStatus, FileSystem, Path}
+import org.apache.hadoop.conf.{Configurable, Configuration}
+import org.apache.hadoop.io.Writable
+import org.apache.hadoop.mapreduce.{JobContext, InputSplit, Job}
+
+import parquet.hadoop.ParquetInputFormat
+import parquet.hadoop.util.ContextUtil
+
+import org.apache.spark.annotation.DeveloperApi
+import org.apache.spark.{Partition => SparkPartition, Logging}
+import org.apache.spark.rdd.{NewHadoopPartition, RDD}
+
+import org.apache.spark.sql.{SQLConf, Row, SQLContext}
+import org.apache.spark.sql.catalyst.expressions.{SpecificMutableRow, And,
Expression, Attribute}
+import org.apache.spark.sql.catalyst.types.{IntegerType, StructField,
StructType}
+import org.apache.spark.sql.sources._
+
+import scala.collection.JavaConversions._
+
+/**
+ * Allows creation of parquet based tables using the syntax
+ * `CREATE TABLE ... USING org.apache.spark.sql.parquet`. Currently the
only option required
+ * is `path`, which is should be the location of a collection of,
optionally partitioned,
+ * parquet files.
+ */
+class DefaultSource extends RelationProvider {
+ /** Returns a new base relation with the given parameters. */
+ override def createRelation(
+ sqlContext: SQLContext,
+ parameters: Map[String, String]): BaseRelation = {
+ val path =
+ parameters.getOrElse("path", sys.error("'path' must be specifed for
parquet tables."))
+
+ ParquetRelation2(path)(sqlContext)
+ }
+}
+
+private[parquet] case class Partition(partitionValues: Map[String, Any],
files: Seq[FileStatus])
+
+/**
+ * An alternative to [[ParquetRelation]] that plugs in using the data
sources API. This class is
+ * currently not intended as a full replacement of the parquet support in
Spark SQL though it is
+ * likely that it will eventually subsume the existing physical plan
implementation.
+ *
+ * Compared with the current implementation, this class has the following
notable differences:
+ *
+ * Partitioning: Partitions are auto discovered and must be in the form of
directories `key=value/`
+ * located at `path`. Currently only a single partitioning column is
supported and it must
+ * be an integer. This class supports both fully self-describing data,
which contains the partition
+ * key, and data where the partition key is only present in the folder
structure. The presence
+ * of the partitioning key in the data is also auto-detected.
--- End diff --
Should also mention null partition value is not supported yet.
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