diff --git a/sql/core/pom.xml b/sql/core/pom.xml
index b2752638bebd5..7ccae20f993d9 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -126,6 +126,12 @@
       <groupId>org.apache.xbean</groupId>
       <artifactId>xbean-asm5-shaded</artifactId>
       <scope>test</scope>
+    </dependency>
+	<dependency>
+      <groupId>com.sparkjava</groupId>
+      <artifactId>spark-core</artifactId>
+      <version>2.5</version>
+      <scope>test</scope>
     </dependency>
   </dependencies>
   <build>
diff --git a/sql/core/src/main/resources/META-INF/services/org.apache.spark.sql.sources.DataSourceRegister b/sql/core/src/main/resources/META-INF/services/org.apache.spark.sql.sources.DataSourceRegister
index 27d32b5dca431..48a61c3f6745d 100644
--- a/sql/core/src/main/resources/META-INF/services/org.apache.spark.sql.sources.DataSourceRegister
+++ b/sql/core/src/main/resources/META-INF/services/org.apache.spark.sql.sources.DataSourceRegister
@@ -5,3 +5,4 @@ org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat
 org.apache.spark.sql.execution.datasources.text.TextFileFormat
 org.apache.spark.sql.execution.streaming.ConsoleSinkProvider
 org.apache.spark.sql.execution.streaming.TextSocketSourceProvider
+org.apache.spark.sql.execution.streaming.HttpStreamSink
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HttpStreamSink.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HttpStreamSink.scala
new file mode 100644
index 0000000000000..d9e8f642a2149
--- /dev/null
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HttpStreamSink.scala
@@ -0,0 +1,97 @@
+/*
+ * 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.{BufferedReader, InputStreamReader, PrintWriter}
+import java.net.{URL, URLConnection}
+
+import org.apache.spark.internal.Logging
+import org.apache.spark.sql._
+import org.apache.spark.sql.sources.{DataSourceRegister, StreamSinkProvider}
+import org.apache.spark.sql.streaming.OutputMode
+import org.apache.spark.sql.types.{StringType, StructType}
+
+
+class HttpStreamSink extends StreamSinkProvider with DataSourceRegister{
+  override def createSink(
+      sqlContext: SQLContext,
+      parameters: Map[String, String],
+      partitionColumns: Seq[String],
+      outputMode: OutputMode): Sink = {
+    if (!parameters.contains("url")) {
+      throw new AnalysisException("Http url should be set: .option(\"url\", \"...\").")
+    }
+    new HttpSink(parameters)
+  }
+
+  override def shortName(): String = "http"
+}
+
+/**
+ * A sink that outputs streaming query results through sending http post request. Each [[Row]]
+ * in batch will be post to a http url.
+ * Each [[Row]] in batch must only have one single column, and the column type should be
+ * [[StringType]].
+ */
+class HttpSink(options: Map[String, String]) extends Sink with Logging {
+  override def addBatch(batchId: Long, data: DataFrame): Unit = synchronized {
+    verifySchema(data.schema)
+    data.collect().foreach(dataSeq => {
+        post(dataSeq.get(0).toString)
+    })
+  }
+  private def verifySchema(schema: StructType): Unit = {
+    if (schema.size != 1) {
+      throw new AnalysisException(
+        s"Http data sink supports only a single column, and you have ${schema.size} columns.")
+    }
+    val tpe = schema(0).dataType
+    if (tpe != StringType) {
+      throw new AnalysisException(
+        s"Http data sink supports only a string column, but you have ${tpe.simpleString}.")
+    }
+  }
+  private def post(data: String): Unit = {
+    val url: URL = new URL(options.get("url").get)
+    val connection: URLConnection = url.openConnection
+    connection.setDoInput(true)
+    connection.setDoOutput(true)
+    val writer = new PrintWriter(connection.getOutputStream)
+    try {
+      writer.print(data)
+      writer.flush()
+    } catch {
+      case cause: Throwable => logError("Post http request error: ", cause)
+    } finally {
+      writer.close()
+    }
+    val reader = new BufferedReader(new InputStreamReader(connection.getInputStream))
+    try {
+      val it = reader.lines().iterator()
+      var lines: String = ""
+      while (it.hasNext()) {
+        lines += it.next()
+      }
+      logTrace(s"Http request post result: ${lines}.")
+    } catch {
+      case cause: Throwable => logError("Read http result error: ", cause)
+    } finally {
+      reader.close()
+    }
+  }
+}
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/HttpStreamSinkSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/HttpStreamSinkSuite.scala
new file mode 100644
index 0000000000000..90ceca7d441a7
--- /dev/null
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/HttpStreamSinkSuite.scala
@@ -0,0 +1,35 @@
+package org.apache.spark.sql.execution.streaming
+
+import spark.{Response, Request, Route, Spark}
+
+import org.apache.spark.sql.Row
+import org.apache.spark.sql.streaming.StreamTest
+import org.apache.spark.sql.test.SharedSQLContext
+import org.scalatest.BeforeAndAfter
+
+class HttpStreamSinkSuite extends StreamTest with SharedSQLContext with BeforeAndAfter{
+  import testImplicits._
+  after {
+    sqlContext.streams.active.foreach(_.stop())
+  }
+  test("http sink"){
+    var output: String = ""
+    Spark.port(3775)
+    Spark.get("/welcome/:vistor", new Route{
+      override def handle(req: Request, resp: Response) : Object = {
+        val name: String = req.params(":vistor")
+        output = name
+        return s"welcome $name"
+      }
+    })
+    val input = MemoryStream[String]
+    val query = input.toDF().writeStream
+      .outputMode("complete")
+      .format("http")
+      .option("url", "http://localhost:3775/welcome")
+      .start()
+    input.addData("Jerry")
+    CheckAnswer(Row(output))
+    query.awaitTermination()
+  }
+}