{"action":"created","comment":{"url":"https://api.github.com/repos/apache/spark/pulls/comments/51953075","id":51953075,"diff_hunk":"@@ -0,0 +1,141 @@\n+/*\n+ * Licensed to the Apache Software Foundation (ASF) under one or more\n+ * contributor license agreements.  See the NOTICE file distributed with\n+ * this work for additional information regarding copyright ownership.\n+ * The ASF licenses this file to You under the Apache License, Version 2.0\n+ * (the \"License\"); you may not use this file except in compliance with\n+ * the License.  You may obtain a copy of the License at\n+ *\n+ *    http://www.apache.org/licenses/LICENSE-2.0\n+ *\n+ * Unless required by applicable law or agreed to in writing, software\n+ * distributed under the License is distributed on an \"AS IS\" BASIS,\n+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+ * See the License for the specific language governing permissions and\n+ * limitations under the License.\n+ */\n+\n+package org.apache.spark.sql.execution.streaming\n+\n+import java.io.{BufferedWriter, OutputStreamWriter}\n+\n+import scala.collection.mutable.ArrayBuffer\n+\n+import org.apache.hadoop.fs.{FileStatus, FileSystem, Path}\n+\n+import org.apache.spark.Logging\n+import org.apache.spark.sql.{DataFrame, SQLContext}\n+import org.apache.spark.sql.types.{StringType, StructType}\n+import org.apache.spark.util.collection.OpenHashSet\n+\n+/**\n+ * A very simple source that reads text files from the given directory as they appear.\n+ */\n+class FileStreamSource(\n+    sqlContext: SQLContext,\n+    metadataPath: String,\n+    path: String,\n+    dataSchema: Option[StructType],\n+    dataFrameBuilder: Array[String] => DataFrame) extends Source with Logging {\n+\n+  import sqlContext.implicits._\n+\n+  /** Returns the schema of the data from this source */\n+  override def schema: StructType = dataSchema.getOrElse(new StructType().add(\"value\", StringType))","path":"sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSource.scala","position":null,"original_position":44,"commit_id":"2af6fc81368ba9ec273b6d8c25076e989907db80","original_commit_id":"6a90c55beece97af10af5aa01f004ac85fda02a4","user":{"login":"zsxwing","id":1000778,"avatar_url":"https://avatars.githubusercontent.com/u/1000778?v=3","gravatar_id":"","url":"https://api.github.com/users/zsxwing","html_url":"https://github.com/zsxwing","followers_url":"https://api.github.com/users/zsxwing/followers","following_url":"https://api.github.com/users/zsxwing/following{/other_user}","gists_url":"https://api.github.com/users/zsxwing/gists{/gist_id}","starred_url":"https://api.github.com/users/zsxwing/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zsxwing/subscriptions","organizations_url":"https://api.github.com/users/zsxwing/orgs","repos_url":"https://api.github.com/users/zsxwing/repos","events_url":"https://api.github.com/users/zsxwing/events{/privacy}","received_events_url":"https://api.github.com/users/zsxwing/received_events","type":"User","site_admin":false},"body":"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.","created_at":"2016-02-04T23:07:21Z","updated_at":"2016-02-04T23:07:21Z","html_url":"https://github.com/apache/spark/pull/11034#discussion_r51953075","pull_request_url":"https://api.github.com/repos/apache/spark/pulls/11034","_links":{"self":{"href":"https://api.github.com/repos/apache/spark/pulls/comments/51953075"},"html":{"href":"https://github.com/apache/spark/pull/11034#discussion_r51953075"},"pull_request":{"href":"https://api.github.com/repos/apache/spark/pulls/11034"}}},"pull_request":{"url":"https://api.github.com/repos/apache/spark/pulls/11034","id":58062944,"html_url":"https://github.com/apache/spark/pull/11034","diff_url":"https://github.com/apache/spark/pull/11034.diff","patch_url":"https://github.com/apache/spark/pull/11034.patch","issue_url":"https://api.github.com/repos/apache/spark/issues/11034","number":11034,"state":"open","locked":false,"title":"[SPARK-13149][SQL]Add FileStreamSource","user":{"login":"zsxwing","id":1000778,"avatar_url":"https://avatars.githubusercontent.com/u/1000778?v=3","gravatar_id":"","url":"https://api.github.com/users/zsxwing","html_url":"https://github.com/zsxwing","followers_url":"https://api.github.com/users/zsxwing/followers","following_url":"https://api.github.com/users/zsxwing/following{/other_user}","gists_url":"https://api.github.com/users/zsxwing/gists{/gist_id}","starred_url":"https://api.github.com/users/zsxwing/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zsxwing/subscriptions","organizations_url":"https://api.github.com/users/zsxwing/orgs","repos_url":"https://api.github.com/users/zsxwing/repos","events_url":"https://api.github.com/users/zsxwing/events{/privacy}","received_events_url":"https://api.github.com/users/zsxwing/received_events","type":"User","site_admin":false},"body":"`FileStreamSource` is an implementation of `org.apache.spark.sql.execution.streaming.Source`. It takes advantage of the existing `HadoopFsRelationProvider` to support various file formats. It remembers files in each batch and stores it into the metadata files so as to recover them when restarting. The metadata files are stored in the file system. There will be a further PR to clean up the metadata files periodically. \r\n\r\nThis is based on the initial work from 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