I am
reading
src/main/scala/org/apache/livy/server/interactive/InteractiveSession.scala
I see line 467 if livyConf.isRunningOnYarn() it will create spark app. Also
line 491 client.get.submit sends a dummy job. So it is related to line 120
how client was created and how we initiate InteractiveSessionServlet
with LivyConf.
This is the config I used to run EMR
```
{
"Classification": "livy-conf",
"Properties": {
"livy.server.session.timeout": "24h",
"livy.server.session.timeout-check": "false",
"livy.spark.master": "yarn-cluster"
}
},
```
btw, in the EMR cluster where can I check those server side logs.
On Mon, Mar 18, 2024 at 8:38 PM Guanyao Huang <[email protected]> wrote:
> The final log
>
> ```
> {'appId': None,
> 'appInfo': {'driverLogUrl': None, 'sparkUiUrl': None},
> 'id': 0,
> 'kind': 'spark',
> 'log': ['\tat '
>
> 'org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment(SparkSubmit.scala:257)',
> '\tat '
> 'org.apache.spark.deploy.SparkSubmit.org
> $apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:1010)',
> '\tat '
> 'org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:194)',
> '\tat '
> 'org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:217)',
> '\tat '
> 'org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:91)',
> '\tat '
>
> 'org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1167)',
> '\tat '
> 'org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1176)',
> '\tat org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)',
> '\nYARN Diagnostics: ', 'spark-submit start failed'],
> 'name': None,
> 'owner': None,
> 'proxyUser': None,
> 'state': 'dead'}
> ```
> Why is spark-submit triggered?
>
> On Mon, Mar 18, 2024 at 8:16 PM Guanyao Huang <[email protected]> wrote:
>
>> Hello
>>
>> Sorry to bother you. This is my first time using livy with Python in EMR.
>> My code is as simple as below:
>>
>> ```
>> import json, pprint, requests, textwrap, time
>>
>> def lambda_handler(event, context):
>> start_time = time.time()
>>
>> ip = event['ip']
>> host = 'http://{0}:8998'.format(ip)
>> data = {'kind': 'spark'}
>> headers = {'Content-Type': 'application/json'}
>> r = requests.post(host + '/sessions', data=json.dumps(data),
>> headers=headers)
>> pprint.pprint(r.json(), compact=True)
>> pprint.pprint(r.headers, compact=True)
>>
>> session_url = host + r.headers['location']
>> ready = False
>> while not ready:
>> r = requests.get(session_url, headers=headers)
>> resp = r.json()
>> ready = resp['state'] == 'idle'
>> print('checking session creation')
>> pprint.pprint(r.json(), compact=True)
>> time.sleep(2)
>>
>> session_ready = time.time() - start_time
>> print('{0} elapsed to create
>> session'.format(time.strftime("%H:%M:%S", time.gmtime(session_ready))))
>> ```
>>
>> I basically post create a session and repeatedly wait 2s to get its
>> status.
>>
>> I only got it working once. For the rest of times, the session got
>> shutting_down very early like below logs:
>>
>> ```
>> 2024-03-19T02:50:51.218Z {'appId': None,
>> 2024-03-19T02:50:51.218Z 'appInfo': {'driverLogUrl': None, 'sparkUiUrl':
>> None},
>> 2024-03-19T02:50:51.218Z 'id': 3,
>> 2024-03-19T02:50:51.218Z 'kind': 'spark',
>> 2024-03-19T02:50:51.218Z 'log': ['\tat '
>> 2024-03-19T02:50:51.218Z
>> 'org.apache.spark.deploy.SparkSubmit.error(SparkSubmit.scala:1093)',
>> 2024-03-19T02:50:51.218Z '\tat '
>> 2024-03-19T02:50:51.218Z
>> 'org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment(SparkSubmit.scala:257)',
>> 2024-03-19T02:50:51.218Z '\tat '
>> 2024-03-19T02:50:51.218Z 'org.apache.spark.deploy.SparkSubmit.org
>> $apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:1010)',
>> 2024-03-19T02:50:51.218Z '\tat '
>> 2024-03-19T02:50:51.218Z
>> 'org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:194)',
>> 2024-03-19T02:50:51.218Z '\tat '
>> 2024-03-19T02:50:51.218Z
>> 'org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:217)',
>> 2024-03-19T02:50:51.218Z '\tat '
>> 2024-03-19T02:50:51.218Z
>> 'org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:91)',
>> 2024-03-19T02:50:51.218Z '\tat '
>> 2024-03-19T02:50:51.218Z
>> 'org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1167)',
>> 2024-03-19T02:50:51.218Z '\tat '
>> 2024-03-19T02:50:51.218Z
>> 'org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1176)',
>> 2024-03-19T02:50:51.218Z '\tat
>> org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)',
>> 2024-03-19T02:50:51.218Z '\nYARN Diagnostics: '],
>> 2024-03-19T02:50:51.218Z 'name': None,
>> 2024-03-19T02:50:51.218Z 'owner': None,
>> 2024-03-19T02:50:51.218Z 'proxyUser': None,
>> 2024-03-19T02:50:51.218Z
>> 'state': 'shutting_down'}
>> ```
>>
>> Why does it sound like it wants me to provide runnable jars or pyFiles?
>> How can get a complete log? From examples in
>> https://livy.apache.org/examples/ and
>> https://github.com/apache/incubator-livy/blob/f615f272e9130d02170024832ea308516b907195/dev/docker/README.md?plain=1#L74,
>> I thought the real job is submitted via statement endpoint.
>>
>> Thanks.
>>
>
