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Forum Posts

BorislavBlagoev
by Valued Contributor III
  • 3797 Views
  • 5 replies
  • 7 kudos

Resolved! Delete from delta table

What is the best way to delete from the delta table? In my case, I want to read a table from the MySQL database (without a soft delete column) and then store that table in Azure as a Delta table. When the ids are equal I will update the Delta table w...

  • 3797 Views
  • 5 replies
  • 7 kudos
Latest Reply
Krish-685291
New Contributor III
  • 7 kudos

Hi have the similar issue, I don't see the solution is provided here. I want to perform upcert operation. But along with upcert, I want to delete the records which are missing in source table, but present in the target table. You can think it as a ma...

  • 7 kudos
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Kyle
by New Contributor II
  • 13967 Views
  • 5 replies
  • 4 kudos

Resolved! What's the best way to manage multiple versions of the same datasets?

We have use cases that require multiple versions of the same datasets to be available. For example, we have a knowledge graph made of entities of relations, and we have multiple versions of the knowledge graph that's distinguished by schema names ri...

  • 13967 Views
  • 5 replies
  • 4 kudos
Latest Reply
Anonymous
Not applicable
  • 4 kudos

Hey there @Kyle Gao​ Hope you are doing well. Thank you for posting your query.Just wanted to check in if you were able to resolve your issue or do you need more help? We'd love to hear from you.Cheers!

  • 4 kudos
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AmanSehgal
by Honored Contributor III
  • 3835 Views
  • 5 replies
  • 15 kudos

Resolved! What's the best way to run a databricks notebook from AWS Lambda ?

I have a trigger in lambda that gets triggered when a new file arrives in S3. I want this file to be straightaway processed using a notebook to Upsert all the data into a delta table.I'm looking for a solution with minimum latency.

  • 3835 Views
  • 5 replies
  • 15 kudos
Latest Reply
Kaniz
Community Manager
  • 15 kudos

Hi @Aman Sehgal​ , Just a friendly follow-up. Do you still need help, or do the above responses help you find the solution? Please let us know.

  • 15 kudos
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User16826992666
by Valued Contributor
  • 1164 Views
  • 3 replies
  • 2 kudos

Resolved! What is the best method for bringing an already trained model into MLflow?

I already have a trained and saved model that was created outside of MLflow. What is the best way to handle it if I want this model to be added to an MLflow experiment?

  • 1164 Views
  • 3 replies
  • 2 kudos
Latest Reply
Anonymous
Not applicable
  • 2 kudos

Hi @Trevor Bishop​ Just wanted to check in if you were able to resolve your issue or do you need more help? We'd love to hear from you.Thanks!

  • 2 kudos
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PJ
by New Contributor III
  • 1906 Views
  • 10 replies
  • 0 kudos

Please bring back "Right Click > Clone" functionality within Databricks Repos! After this was removed, the best way to replicate this fun...

Please bring back "Right Click > Clone" functionality within Databricks Repos!After this was removed, the best way to replicate this functionality was to:Export the file in .dbc format Import the .dbc file back in. New file has a suffix of " (1)"As o...

  • 1906 Views
  • 10 replies
  • 0 kudos
Latest Reply
PJ
New Contributor III
  • 0 kudos

Hello! Just to update the group on this question, the clone right-click functionality is working again in Repos for me I believe this fix came with a new databricks upgrade on 2022-04-20 / 2022-04-21

  • 0 kudos
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Hayley
by New Contributor III
  • 2382 Views
  • 2 replies
  • 2 kudos

What is the best way to do EDA in Databricks?

Are there example notebooks to quickstart the exploratory data analysis?

  • 2382 Views
  • 2 replies
  • 2 kudos
Latest Reply
Hayley
New Contributor III
  • 2 kudos

A quick way to start exploratory data analysis is to use the EDA notebook that is created when you use Databricks AutoML. Then you can use the notebook generated as is, or as a starting point for modeling. You’ll need a cluster with Databricks Runtim...

  • 2 kudos
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User16857281869
by New Contributor II
  • 988 Views
  • 1 replies
  • 1 kudos

Resolved! What is the best way to do time series analysis and forecasting with Spark?

We have developed a library on spark which makes typical operations on time series much simpler. You can check the repo in Github for more info. You could also check out one of our blogs which demos an implementation of a forecasting usecase with S...

  • 988 Views
  • 1 replies
  • 1 kudos
Latest Reply
Hubert-Dudek
Esteemed Contributor III
  • 1 kudos

Currently on databricks there is MLFlow with forecasting option - please check it.

  • 1 kudos
Ayman
by New Contributor
  • 3329 Views
  • 4 replies
  • 0 kudos
  • 3329 Views
  • 4 replies
  • 0 kudos
Latest Reply
jose_gonzalez
Moderator
  • 0 kudos

Hi @Ayman Alneser​ ,Did Huaming.lu's response worked for you? if it did, could you marked as the best solution so that other can quickly find it in the future.

  • 0 kudos
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User16868770416
by Contributor
  • 3302 Views
  • 1 replies
  • 0 kudos

What is the best way to decode protobuf using pyspark?

I am using spark structured streaming to read a protobuf encoded message from the event hub. We use a lot of Delta tables, but there isn't a simple way to integrate this. We are currently using K-SQL to transform into avro on the fly and then use Dat...

  • 3302 Views
  • 1 replies
  • 0 kudos
Latest Reply
jose_gonzalez
Moderator
  • 0 kudos

hi @Will Block​ ,I think there is a related question being asked in the past. I think it was this one I found this library, I hope it helps.

  • 0 kudos
User16783853501
by New Contributor II
  • 783 Views
  • 2 replies
  • 0 kudos

Delta Optimistic Transactions Resolution and Exceptions

What is the best way to deal with concurrent exceptions in Delta when you have multiple writers on the same delta table ?

  • 783 Views
  • 2 replies
  • 0 kudos
Latest Reply
sajith_appukutt
Honored Contributor II
  • 0 kudos

While you can try-catch-retry , it would be expensive to retry as the underlying table snapshot would have changed. So the best approach is to avoid conflicts using partitioning and disjoint command conditions as much as possible.

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User16137833804
by New Contributor III
  • 912 Views
  • 1 replies
  • 1 kudos
  • 912 Views
  • 1 replies
  • 1 kudos
Latest Reply
sajith_appukutt
Honored Contributor II
  • 1 kudos

You could have the single node cluster where proxy is installed monitored by one of the tools like cloudwatch, azure monitor, datadog etc and have it configured to send alerts on node failure

  • 1 kudos
Srikanth_Gupta_
by Valued Contributor
  • 861 Views
  • 2 replies
  • 0 kudos

I have several thousands of Delta tables in my Production, what is the best way to get counts

if I might need a dashboard to see increase in number of rows on day to day basis, also a dashboard that shows size of Parquet/Delta files in my Lake?

  • 861 Views
  • 2 replies
  • 0 kudos
Latest Reply
User16869510359
Esteemed Contributor
  • 0 kudos

val db = "database_name" spark.sessionState.catalog.listTables(db).map(table=>spark.sessionState.catalog.externalCatalog.getTable(table.database.get,table.table)).filter(x=>x.provider.toString().toLowerCase.contains("delta"))The above code snippet wi...

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HowardWong
by New Contributor II
  • 386 Views
  • 0 replies
  • 0 kudos

How do you handle Kafka offsets in a DR scenario?

If on one region running a structured streaming job with a checkpoint fails for whatever reason, DR kicks in to run a job in another region. What is the best way for the pick up the offset to continue where the failed job stopped?

  • 386 Views
  • 0 replies
  • 0 kudos
User16752240150
by New Contributor II
  • 817 Views
  • 1 replies
  • 0 kudos

What's the best way to use hyperopt to train a spark.ml model and track automatically with mlflow?

I've read this article, which covers:Using CrossValidator or TrainValidationSplit to track hyperparameter tuning (no hyperopt). Only random/grid searchparallel "single-machine" model training with hyperopt using hyperopt.SparkTrials (not spark.ml)"Di...

  • 817 Views
  • 1 replies
  • 0 kudos
Latest Reply
sean_owen
Honored Contributor II
  • 0 kudos

It's actually pretty simple: use hyperopt, but use "Trials" not "SparkTrials". You get parallelism from Spark, not from the tuning process.

  • 0 kudos
Anonymous
by Not applicable
  • 930 Views
  • 1 replies
  • 1 kudos

What's the best way to develop Apache Spark Jobs from an IDE (such as IntelliJ/Pycharm)?

A number of people like developing locally using an IDE and then deploying. What are the recommended ways to do that with Databricks jobs?

  • 930 Views
  • 1 replies
  • 1 kudos
Latest Reply
Anonymous
Not applicable
  • 1 kudos

The Databricks Runtime and Apache Spark use the same base API. One can create Spark jobs that run locally and have them run on Databricks with all available Databricks features.It is required that one uses SparkSession.builder.getOrCreate() to create...

  • 1 kudos
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