How to submit batch jar Spark jobs by livy Programmatic API
1
I want to submit batch jar Spark jobs using livy Programmatic API, like using rest API batches, I have the json data
{
"className": "org.apache.spark.examples.SparkPi",
"queue": "default",
"name": "SparkPi by Livy",
"proxyUser": "hadoop",
"executorMemory": "5g",
"args": [2000],
"file": "hdfs://host:port/resources/spark-examples_2.11-2.1.1.jar"
}
but I cannot find any document about this, is this possible? how?
java scala apache-spark livy
asked Nov 21 '18 at 3:34
寒江雪
64
add a comment |
1
I want to submit batch jar Spark jobs using livy Programmatic API, like using rest API batches, I have the json data
{
"className": "org.apache.spark.examples.SparkPi",
"queue": "default",
"name": "SparkPi by Livy",
"proxyUser": "hadoop",
"executorMemory": "5g",
"args": [2000],
"file": "hdfs://host:port/resources/spark-examples_2.11-2.1.1.jar"
}
but I cannot find any document about this, is this possible? how?
java scala apache-spark livy
asked Nov 21 '18 at 3:34
寒江雪
64
add a comment |
1
1
1
1
I want to submit batch jar Spark jobs using livy Programmatic API, like using rest API batches, I have the json data
{
"className": "org.apache.spark.examples.SparkPi",
"queue": "default",
"name": "SparkPi by Livy",
"proxyUser": "hadoop",
"executorMemory": "5g",
"args": [2000],
"file": "hdfs://host:port/resources/spark-examples_2.11-2.1.1.jar"
}
but I cannot find any document about this, is this possible? how?
java scala apache-spark livy
asked Nov 21 '18 at 3:34
寒江雪
64
I want to submit batch jar Spark jobs using livy Programmatic API, like using rest API batches, I have the json data
{
"className": "org.apache.spark.examples.SparkPi",
"queue": "default",
"name": "SparkPi by Livy",
"proxyUser": "hadoop",
"executorMemory": "5g",
"args": [2000],
"file": "hdfs://host:port/resources/spark-examples_2.11-2.1.1.jar"
}
but I cannot find any document about this, is this possible? how?
java scala apache-spark livy
java scala apache-spark livy
asked Nov 21 '18 at 3:34
寒江雪
64
asked Nov 21 '18 at 3:34
寒江雪
64
asked Nov 21 '18 at 3:34
寒江雪
64
asked Nov 21 '18 at 3:34
寒江雪
64
asked Nov 21 '18 at 3:34
寒江雪
64
64
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
1
Yes, you can submit spark jobs via rest API using Livy. Please follow the below steps,
- First build spark application and create the assembly jar and upload the application jar on the cluster storage (HDFS) of the hadoop cluster.
- Submit job using either curl (for testing) and implement using http client api.
Sample code to submit spark job using http client in scala
import org.apache.http.client.methods.{CloseableHttpResponse, HttpGet,
HttpPost, HttpPut}
import org.apache.http.entity.StringEntity
import org.apache.http.impl.client.{CloseableHttpClient, HttpClientBuilder}
import org.apache.http.util.EntityUtils
import scala.util.parsing.json.{JSON, JSONObject}
def submitJob(className: String, jarPath:String, extraArgs: List[String]) : JSONObject = {
val jobSubmitRequest = new HttpPost(s"${clusterConfig.livyserver}/batches")
val data = Map(
"className"-> className,
"file" -> jarPath,
"driverMemory" -> "2g",
"name" -> "LivyTest",
"proxyUser" -> "hadoop")
if(extraArgs != null && !extraArgs.isEmpty) {
data + ( "args" -> extraArgs)
}
val json = new JSONObject(data)
println(json.toString())
val params = new StringEntity(json.toString(),"UTF-8")
params.setContentType("application/json")
jobSubmitRequest.addHeader("Content-Type", "application/json")
jobSubmitRequest.addHeader("Accept", "*/*")
jobSubmitRequest.setEntity(params)
val client: CloseableHttpClient = HttpClientBuilder.create().build()
val response: CloseableHttpResponse = client.execute(jobSubmitRequest)
HttpReqUtil.parseHttpResponse(response)._2
}
Please refer the post for more details
https://www.linkedin.com/pulse/submitting-spark-jobs-remote-cluster-via-livy-rest-api-ramasamy/
Sample project in the following link
https://github.com/ravikramesh/spark-rest-service
answered Nov 29 '18 at 16:34
Ravikumar
5871216
@寒江雪 : if you are okay with the answer pls care to accept this as owner!
– Ram Ghadiyaram
Nov 30 '18 at 2:46
add a comment |
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1 Answer
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1 Answer
1
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oldest
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active
oldest
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active
oldest
votes
1
Yes, you can submit spark jobs via rest API using Livy. Please follow the below steps,
- First build spark application and create the assembly jar and upload the application jar on the cluster storage (HDFS) of the hadoop cluster.
- Submit job using either curl (for testing) and implement using http client api.
Sample code to submit spark job using http client in scala
import org.apache.http.client.methods.{CloseableHttpResponse, HttpGet,
HttpPost, HttpPut}
import org.apache.http.entity.StringEntity
import org.apache.http.impl.client.{CloseableHttpClient, HttpClientBuilder}
import org.apache.http.util.EntityUtils
import scala.util.parsing.json.{JSON, JSONObject}
def submitJob(className: String, jarPath:String, extraArgs: List[String]) : JSONObject = {
val jobSubmitRequest = new HttpPost(s"${clusterConfig.livyserver}/batches")
val data = Map(
"className"-> className,
"file" -> jarPath,
"driverMemory" -> "2g",
"name" -> "LivyTest",
"proxyUser" -> "hadoop")
if(extraArgs != null && !extraArgs.isEmpty) {
data + ( "args" -> extraArgs)
}
val json = new JSONObject(data)
println(json.toString())
val params = new StringEntity(json.toString(),"UTF-8")
params.setContentType("application/json")
jobSubmitRequest.addHeader("Content-Type", "application/json")
jobSubmitRequest.addHeader("Accept", "*/*")
jobSubmitRequest.setEntity(params)
val client: CloseableHttpClient = HttpClientBuilder.create().build()
val response: CloseableHttpResponse = client.execute(jobSubmitRequest)
HttpReqUtil.parseHttpResponse(response)._2
}
Please refer the post for more details
https://www.linkedin.com/pulse/submitting-spark-jobs-remote-cluster-via-livy-rest-api-ramasamy/
Sample project in the following link
https://github.com/ravikramesh/spark-rest-service
answered Nov 29 '18 at 16:34
Ravikumar
5871216
@寒江雪 : if you are okay with the answer pls care to accept this as owner!
– Ram Ghadiyaram
Nov 30 '18 at 2:46
add a comment |
1
Yes, you can submit spark jobs via rest API using Livy. Please follow the below steps,
- First build spark application and create the assembly jar and upload the application jar on the cluster storage (HDFS) of the hadoop cluster.
- Submit job using either curl (for testing) and implement using http client api.
Sample code to submit spark job using http client in scala
import org.apache.http.client.methods.{CloseableHttpResponse, HttpGet,
HttpPost, HttpPut}
import org.apache.http.entity.StringEntity
import org.apache.http.impl.client.{CloseableHttpClient, HttpClientBuilder}
import org.apache.http.util.EntityUtils
import scala.util.parsing.json.{JSON, JSONObject}
def submitJob(className: String, jarPath:String, extraArgs: List[String]) : JSONObject = {
val jobSubmitRequest = new HttpPost(s"${clusterConfig.livyserver}/batches")
val data = Map(
"className"-> className,
"file" -> jarPath,
"driverMemory" -> "2g",
"name" -> "LivyTest",
"proxyUser" -> "hadoop")
if(extraArgs != null && !extraArgs.isEmpty) {
data + ( "args" -> extraArgs)
}
val json = new JSONObject(data)
println(json.toString())
val params = new StringEntity(json.toString(),"UTF-8")
params.setContentType("application/json")
jobSubmitRequest.addHeader("Content-Type", "application/json")
jobSubmitRequest.addHeader("Accept", "*/*")
jobSubmitRequest.setEntity(params)
val client: CloseableHttpClient = HttpClientBuilder.create().build()
val response: CloseableHttpResponse = client.execute(jobSubmitRequest)
HttpReqUtil.parseHttpResponse(response)._2
}
Please refer the post for more details
https://www.linkedin.com/pulse/submitting-spark-jobs-remote-cluster-via-livy-rest-api-ramasamy/
Sample project in the following link
https://github.com/ravikramesh/spark-rest-service
answered Nov 29 '18 at 16:34
Ravikumar
5871216
@寒江雪 : if you are okay with the answer pls care to accept this as owner!
– Ram Ghadiyaram
Nov 30 '18 at 2:46
add a comment |
1
1
1
Yes, you can submit spark jobs via rest API using Livy. Please follow the below steps,
- First build spark application and create the assembly jar and upload the application jar on the cluster storage (HDFS) of the hadoop cluster.
- Submit job using either curl (for testing) and implement using http client api.
Sample code to submit spark job using http client in scala
import org.apache.http.client.methods.{CloseableHttpResponse, HttpGet,
HttpPost, HttpPut}
import org.apache.http.entity.StringEntity
import org.apache.http.impl.client.{CloseableHttpClient, HttpClientBuilder}
import org.apache.http.util.EntityUtils
import scala.util.parsing.json.{JSON, JSONObject}
def submitJob(className: String, jarPath:String, extraArgs: List[String]) : JSONObject = {
val jobSubmitRequest = new HttpPost(s"${clusterConfig.livyserver}/batches")
val data = Map(
"className"-> className,
"file" -> jarPath,
"driverMemory" -> "2g",
"name" -> "LivyTest",
"proxyUser" -> "hadoop")
if(extraArgs != null && !extraArgs.isEmpty) {
data + ( "args" -> extraArgs)
}
val json = new JSONObject(data)
println(json.toString())
val params = new StringEntity(json.toString(),"UTF-8")
params.setContentType("application/json")
jobSubmitRequest.addHeader("Content-Type", "application/json")
jobSubmitRequest.addHeader("Accept", "*/*")
jobSubmitRequest.setEntity(params)
val client: CloseableHttpClient = HttpClientBuilder.create().build()
val response: CloseableHttpResponse = client.execute(jobSubmitRequest)
HttpReqUtil.parseHttpResponse(response)._2
}
Please refer the post for more details
https://www.linkedin.com/pulse/submitting-spark-jobs-remote-cluster-via-livy-rest-api-ramasamy/
Sample project in the following link
https://github.com/ravikramesh/spark-rest-service
answered Nov 29 '18 at 16:34
Ravikumar
5871216
Yes, you can submit spark jobs via rest API using Livy. Please follow the below steps,
- First build spark application and create the assembly jar and upload the application jar on the cluster storage (HDFS) of the hadoop cluster.
- Submit job using either curl (for testing) and implement using http client api.
Sample code to submit spark job using http client in scala
import org.apache.http.client.methods.{CloseableHttpResponse, HttpGet,
HttpPost, HttpPut}
import org.apache.http.entity.StringEntity
import org.apache.http.impl.client.{CloseableHttpClient, HttpClientBuilder}
import org.apache.http.util.EntityUtils
import scala.util.parsing.json.{JSON, JSONObject}
def submitJob(className: String, jarPath:String, extraArgs: List[String]) : JSONObject = {
val jobSubmitRequest = new HttpPost(s"${clusterConfig.livyserver}/batches")
val data = Map(
"className"-> className,
"file" -> jarPath,
"driverMemory" -> "2g",
"name" -> "LivyTest",
"proxyUser" -> "hadoop")
if(extraArgs != null && !extraArgs.isEmpty) {
data + ( "args" -> extraArgs)
}
val json = new JSONObject(data)
println(json.toString())
val params = new StringEntity(json.toString(),"UTF-8")
params.setContentType("application/json")
jobSubmitRequest.addHeader("Content-Type", "application/json")
jobSubmitRequest.addHeader("Accept", "*/*")
jobSubmitRequest.setEntity(params)
val client: CloseableHttpClient = HttpClientBuilder.create().build()
val response: CloseableHttpResponse = client.execute(jobSubmitRequest)
HttpReqUtil.parseHttpResponse(response)._2
}
Please refer the post for more details
https://www.linkedin.com/pulse/submitting-spark-jobs-remote-cluster-via-livy-rest-api-ramasamy/
Sample project in the following link
https://github.com/ravikramesh/spark-rest-service
answered Nov 29 '18 at 16:34
Ravikumar
5871216
answered Nov 29 '18 at 16:34
Ravikumar
5871216
answered Nov 29 '18 at 16:34
Ravikumar
5871216
answered Nov 29 '18 at 16:34
Ravikumar
5871216
5871216
@寒江雪 : if you are okay with the answer pls care to accept this as owner!
– Ram Ghadiyaram
Nov 30 '18 at 2:46
add a comment |
@寒江雪 : if you are okay with the answer pls care to accept this as owner!
– Ram Ghadiyaram
Nov 30 '18 at 2:46
@寒江雪 : if you are okay with the answer pls care to accept this as owner!
– Ram Ghadiyaram
Nov 30 '18 at 2:46
@寒江雪 : if you are okay with the answer pls care to accept this as owner!
– Ram Ghadiyaram
Nov 30 '18 at 2:46
add a comment |
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