I am trying to execute my databricks note book and linked service as execution Pool type of connection, also I have upload the Append libraries option for wheel format library in ADF but unable to execute our notebook via ADF and getting below error.
Run result unavailable: job failed with error message Library installation failed for library due to user error for whl:
"dbfs:/FileStore/jars/xxxxxxxxxxxxxxxxxxxx/prophet-1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"
. Error messages: Library installation attempted on the driver node of
cluster 1129-161441-xwjfzl6k and failed. Please refer to the following
error message to fix the library or contact Databricks support. Error
Code: DRIVER_LIBRARY_INSTALLATION_FAILURE. Error Message:
org.apache.spark.SparkException: Process List(bash,
/local_disk0/.ephemeral_nfs/cluster_libraries/python/python_start_clusterwide.sh,
/local_disk0/.ephemeral_nfs/cluster_libraries/python/bin/pip, install,
--upgrade, --find-links=/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages,
/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/prophet-1.1-cp38-cp38-manylinux_2_17_x86_6
... *WARNING: message truncated. Skipped 195 bytes of output
Kindly help us. and in linked in service, there is three types of option we have(Select cluster),
1.new job cluster
2.exixting interactive cluster
3.Existing instance pool
in production perspective which is the best, we do not have any job created in databricks and plan note book needs to trigger in adf to success the execution. please advice
Make sure you install the wheel onto the interactive cluster (option 2). This has nothing to do with Azure Data Bricks.
Installing local .whl files on Databricks cluster
See the above article for details.
Karthik from the error it is complaining about the library . This is what i could have done .
Cross check & make sure that the ADF is pointing the correct cluster .
If The cluster is correct , move on the cluster and open the notebook which you are trying to refer from ADF . try to execute that .
If the notebook works fine , go and stop the cluster and restart it again and run the notebook .
My guess is that once the cluster goes into the idle mode and shutsdown and then when ADF starts the cluster , it is not able to find the library it needs .
Related
We have a Databricks job that has suddenly started to consistently fail. Sometimes it runs for an hour, other times it fails after a few minutes.
The inner exception is
ERROR MicroBatchExecution: Query [id = xyz, runId = abc] terminated with error
shaded.databricks.org.apache.hadoop.fs.azure.AzureException: hadoop_azure_shaded.com.microsoft.azure.storage.StorageException: Could not verify copy source.
The job targets a notebook which consumes from event-hub with PySpark structured streaming, calculates some values based on the data, and streams data back to another event-hub topic.
The cluster is a pool with 2 workers and 1 driver running on standard Databricks 9.1 ML.
We've tried to restart job many times, also with clean input data and checkpoint location.
We struggle to determine what is causing this error.
We cannot see any 403 Forbidden errors in logs, which is sometimes mentioned on forums as a reason
.
Any assistance is greatly appreciated.
Issue resolved by moving checkpointing (used internally by Spark) location from standard storage to premium. I don't know why it suddenly started failing after months of running hardly without hiccup.
Premium storage might be a better place for checkpointing anyway since I/O is cheaper.
First, I am a complete newbie with Flink. I have installed Apache Flink on Windows.
I start Flink with start-cluster.bat. It prints out
Starting a local cluster with one JobManager process and one
TaskManager process. You can terminate the processes via CTRL-C in the
spawned shell windows. Web interface by default on
http://localhost:8081/.
Anyway, when I submit the job, I have a bunch of messages:
DEBUG org.apache.flink.runtime.rest.RestClient - Received response
{"status":{"id":"IN_PROGRESS"}}.
In the log in the web UI at http://localhost:8081/, I see:
2019-02-15 16:04:23.571 [flink-akka.actor.default-dispatcher-4] WARN
akka.remote.ReliableDeliverySupervisor
flink-akka.remote.default-remote-dispatcher-6 - Association with
remote system [akka.tcp://flink#127.0.0.1:56404] has failed, address
is now gated for [50] ms. Reason: [Disassociated]
If I go to the Task Manager tab, it is empty.
I tried to find if any port needed by flink was in use but it does not seem to be the case.
Any idea to solve this?
So I was running Flink locally using Intelij
Using ArchType that gives you ready to go examples
https://ci.apache.org/projects/flink/flink-docs-stable/dev/projectsetup/java_api_quickstart.html
You not necessary have to install it unless you are using Flink as a service on cluster.
Code editor will compile it just fine for spot instance of Flink for one code run.
I have installed a DSX 3 node cluster on RHEL 7.4, all notebooks and r-studio code work fine. However, model creation gives this error:
Load Data
Error: The provided kernel id was not found. Verify the input spark service credentials
All kubernetes pods seem to be up and running. Any ideas on how to fix this?
If you are in the Sept release, suggest stop kernels and restart. There was a limit of of 10 kernels in that release. You will see the active green button across notebooks/models with option to stop.
I have a question in regard to deploying a spark application on a standalone EC-2 Cluster. I have followed the tutorial by Spark ans was able to successfully deploy a standalone EC-2 cluster. I verified that by connecting to the clusrer UI and making sure that everything is as it supposed to be. I developed a simple application and tested it locally. Everything works fine. When I submit it to the cluster (just changing --master local[4] into --masers spark://.... ) I get the following error: ERROR TaskSchedulerImpl: Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up. Does any one know how to overcome this problem. my deploy-mode is client.
Make sure that you have provided the correct url to the master.
Basically, the exact spark master URL is displayed on the page when you connected to the Web UI.
URL on the page is something like: Spark Master at spark://IPAddress:port
Also you may notice that web UI and the Spark running port numbers may be different
I am trying to create a small cluster for testing purposes on EC2 using Cloudera Manager 5.
These are the directions I am following, http://www.cloudera.com/content/cloudera-content/cloudera-docs/CM4Ent/4.7.1/Cloudera-Manager-Installation-Guide/cmig_install_on_EC2.html.
It is getting to the point where it executes, "Execute command SparkUploadJarServiceCommand on service spark" and it fails.
The error is "Upload Spark Jar failed on spark_master".
What is going wrong and how can I fix this?
Thanks for your help.
Adding the findings as an answer.
You have to open all the required ports for your Cloudera Manager to install it's components correctly.
For a complete guide of ports you need to open refer to:
http://www.cloudera.com/content/cloudera-content/cloudera-docs/CM4Ent/latest/Cloudera-Manager-Installation-Guide/cmig_ports_cdh4.html
If you are running Cloudera Manager in EC2 you can create a security group that allows all traffic/ports between the Cloudera Manager and its nodes.