Hi Folks,I've requirement to show the week number as ww format. Please see the below codeselect weekofyear(date_add(to_date(current_date, 'yyyyMMdd'), +35)). also plz refre the screen shot for result.
I have a dataframe like below with col2 as key-value pairs. I would like to filter col2 to only the rows with a valid schema. There could be many of pairs, sometimes less, sometimes more and this is fine as long as the structure is fine. Nulls in col...
@Bartosz Wachocki - Thank you for sharing your solution and marking it as best.
Would like to better understand the advantage of writing a python notebook in pyspark vs pandas. Does the entire notebook need to be written in pyspark to realize the performance benefits. I currently have a script using pandas for all my transformat...
You can use the free Community Edition of Databricks that includes 10.0 runtime.
I tried to log some run in my Databricks Workspace and I'm facing the following error: RESOURCE_ALREADY_EXISTS when I try to log any run.I could replicate the error with the following code:import mlflow import mlflow.sklearn from mlflow.tracking impo...
Hi @Miguel Ángel Fernández it’s not recommended to “link” the Databricks and AML workspaces, as we are seeing more problems. You can refer to the instructions found below for using MLflow with AML. https://docs.microsoft.com/en-us/azure/machine-l...
I have a xlsx file which has a single column ;percentage30%40%50%-10%0.00%0%0.10%110%99.99%99.98%-99.99%-99.98%when i read this using Apache-Spark out put i get is,|percentage|+----------+| 0.3|| 0.4|| 0.5|| -0.1|| 0.0|| ...
Affirmative. This is how excel stores percentages. What you see is just cell formatting.Databricks notebooks do not (yet?) have the possibility to format the output.But it is easy to use a BI tool on top of Databricks, where you can change the for...
solution :- i don't need to add any executor or driver memory all i had to do in my case was add this : - option("maxRowsInMemory", 1000). Before i could n't even read a 9mb file now i just read a 50mb file without any error.{ val df = spark.read .f...
can you try without: .set("spark.driver.memory","4g") .set("spark.executor.memory", "6g")It is clearly show that there is no 4gb free on driver and 6gb free on executor (you can share hardware cluster details also).You can not also allocate 100% for ...
Hi,How we can pass a list as parameter in data bricks notebook to run the notebook parallelly for list of values.Thank you
another another way (in databricks you can achieve everything many ways) is to encode list using json library:import json print type(json.dumps([1, 2, 3])) #>> <type 'str'>
Hello, All - I'm working on a project using the SQL DataWarehouse connector built into Databricks (https://docs.databricks.com/data/data-sources/azure/synapse-analytics.html). From there, I'm trying to extract information from the logical plan / logi...
@Werner Stinckens Thanks for the reply! The SQL DW Connector itself is working just fine and I can retrieve the results from the SQL DW. I'm trying to extract the metadata (i.e. the Server, Database, and Table name) from the logical plan (or throu...
I am learning Pyspark on Community edition for a like month. It's been great until I am facing issues while creating a cluster for 3-4 Days.Sometimes it is taking 30 minutes to 60 minutes to create a Cluster and sometimes it is not even creating a Cl...
@Dileep Vidyadara - If your question was fully answered by @Hubert Dudek, would you be happy to mark his answer as best?
I am working with time-series data, where each day is a separate csv file. I have tried to load a zip file to FileStore but then cannot use the magic command to unzip, most likely because it is in the tmp folder. Is there a workaround for this proble...
I've been trying to use the Community edition for the past 3 days without success.I go to run a Notebook and it begins to allocated the Cluster, but it it never finishes. Sometimes it times out after 15 minutes.Waiting for cluster to start: Finding i...
@Dileep Vidyadara - There did seem to be a problem during the time you posted. For future reference, when you're having trouble, you can check what's going on by going to the AWS Databricks Status Page.Let us know if you have any other questions.
In short, we aim to add a step to a CI job that would run tests in a container, which supposedly should mimic DBR of our clusters – currently we use 7.3 . We consider using one of databricksruntime images (possibly a standard:7.x for now, https://hub...
Hi @Sepideh Ebrahimi , since cluster is Databricks proprietary, you ca not run it locally. as @Werner Stinckens said, you can build your own image but that has to be run in cluster. but there is databricks connect (https://docs.databricks.com/dev-...
Hi,With the help of Databricks-connect i was able to connect the cluster to my local IDE like Pycharm and Rstudio desktop version and able to develop the application and committed the code in Git.When i try to add that repo to the Databricks workspac...
may be you will be interested our db connect . not sure if that resolve your issue to connect with 3rd party tool and setup ur supported IDE notebook serverhttps://docs.databricks.com/dev-tools/databricks-connect.html
After dropping a delta table using DROP command in databricks, is there a way to drop the s3 files in databricks without using rm command? Looking for a solution where junior developers can safely drop a table wihout messing with the rm command where...
Hi @Alina Bella ,Like @Hubert Dudek mentioned, we have a best practice guide for dropping managed tables. You can find the docs here
I have a streaming job running a groupBy query with a Window of 3 days. The query is searching for different types of events.The stream is configured with runOnce and there is a job scheduled for every hour.Now, I'm not sure what data is processed ea...
Hi @itay k ,You will need to take a look at the Progress Reporter. This will show the Micro-batch JSON metrics. For example, the metric called "numInputRows" which will display the number of input rows that it processed for the micro-batch. You will...
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