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Hi, I have problems with displaying and saving a table in Databricks. Simple command can run for hours without any progress..Before that I am not doing any rocket science - code runs in less than a minute, I have one join at the end. I am using 7.3 ...
hi @Just Magy​ ,what is your data source? what type of lazy transformation and actions do you have in your code? Do you partition your data? Please provide more details.
I am using a framework and i have a query where i am doing,df = seg_df.select(*).write.option("compression", "gzip') and i am getting below error,When i don't do the write.option i am not getting below error. Why is it giving me repartition error. Wh...
hi @AMIT GADHAVI​ ,could you provide more details? for example, what is your data source? how do you repartition? etc
Currently, we are investigating how to effectively incorporate databricks latest feature for orchestration of tasks - Multi-task Jobs.The default behaviour is that a downstream task would not be executed if the previous one has failed for some reason...
Hi @Stefan V​ ,My name is Jan and I'm a product manager working on job orchestration. Thank you for your question. At the moment this is not something directly supported yet, this is however on our radar. If you are interested in having a short conve...
Dear community,I have the following problem:%fs mv '/FileStore/Tree_point_classification-1.dlpk' '/dbfs/mnt/group22/Tree_point_classification-1.dlpk'I have uploaded a file of a ML-model and have transferred it to the directory with When I now check ...
There is dbfs:/dbfs/ displayed maybe file is in /dbfs/dbfs directory? Please check it and try to open with open('/dbfs/dbfs. You can also use "data" from left menu to check what is in dbfs file system more easily.
Nore, I've tested with the same connection variable:locally with scala - works (via the same prod schema registry)in the cluster with python - worksin the cluster with scala - fails with 401 auth errordef setupSchemaRegistry(schemaRegistryUrl: String...
Found the issue: it's the uber package mangling some dependency resolving, which I fixedAnother issue, is that currently you can't use 6.* branch of confluent schema registry client in databricks, because the avro version is different then the one su...
We are using data-bricks. How do we know the default libraries installed in the databricks & what versions are being installed. I have ran pip list, but couldn't find the pyspark in the returned list.
Hi @karthick J​ ,If you would like to see all the libraries installed in your cluster and the version, then I will recommend to check the "Environment" tab. In there you will be able to find all the libraries installed in your cluster.Please follow t...
(This is a copy of a question I asked on stackoverflow here, but maybe this community is a better fit for the question):Setting: Delta-lake, Databricks SQL compute used by powerbi. I am wondering about the following scenario: We have a column `timest...
In query I would just query first by date (generated from timestamp which we want to query) and than by exact timestamp, so it will use partitioning benefit.
There are API endpoints to manage clusters. Official documentation: https://docs.databricks.com/dev-tools/api/latest/clusters.html. Here is example code which can be run from notebook:ctx = dbutils.notebook.entry_point.getDbutils().notebook().getCon...
When deleting a workspace from the Databricks Accounts Console, I noticed the AWS resources (VPC, NAT, etc.) are not removed. Should they be? And if not, is there a clean/simple way of cleaning up the residual AWS resources?
Thank you Prabakar - that's what I figured but didn't know if there was documentation on resource cleanup. I'll just go through and find everything the CF stack created and remove them.Regards,Brad
1. I have data x,I would like to create a new column with the condition that the value are 1, 2 or 32. The name of the column is SHIFT where this SHIFT column will be filled automatically if the TIME_CREATED column meets the conditions.3. the conditi...
You an do something like this in pandas. Note there could be a more performant way to do this too. import pandas as pd import numpy as np df = pd.DataFrame({'a':[1,2,3,4]}) df.head() > a > 0 1 > 1 2 > 2 3 > 3 4 conditions = [(df['a'] <=2...
Are there any plans / capabilities in place or approaches people are using for writing (logging) records failing constraint requirements to separate tables when using Delta Live Tables? Also, are there any plans / capabilities in place or approaches ...
According to the language reference documentation, I do not believe quarantining records is possible right now out of the box. But there are a few workarounds under the current functionality. Create a second table with the inverse of the expectations...
I have pdf files stored in azure adls.i want to parse pdf files in pyspark dataframeshow can i do that ?
If you have familiarity with Scala you can use Tika. Tika is a wrapper around PDFBox. In case you want to use it in Databricks I suggest you to go through this blog and Git repo. For python based codes you may want to use PyPDF2 as a pandas UDF in S...
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