Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/11034#discussion_r51953075
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSource.scala
---
@@ -0,0 +1,141 @@
+/*
+ * 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.streaming
+
+import java.io.{BufferedWriter, OutputStreamWriter}
+
+import scala.collection.mutable.ArrayBuffer
+
+import org.apache.hadoop.fs.{FileStatus, FileSystem, Path}
+
+import org.apache.spark.Logging
+import org.apache.spark.sql.{DataFrame, SQLContext}
+import org.apache.spark.sql.types.{StringType, StructType}
+import org.apache.spark.util.collection.OpenHashSet
+
+/**
+ * A very simple source that reads text files from the given directory as
they appear.
+ */
+class FileStreamSource(
+ sqlContext: SQLContext,
+ metadataPath: String,
+ path: String,
+ dataSchema: Option[StructType],
+ dataFrameBuilder: Array[String] => DataFrame) extends Source with
Logging {
+
+ import sqlContext.implicits._
+
+ /** Returns the schema of the data from this source */
+ override def schema: StructType = dataSchema.getOrElse(new
StructType().add("value", StringType))
--- End diff --
Updated the logic here. Now if there are any existing files, it will use
them to infer the schema. And also added a test for it.
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