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Hi all, i have some questions related to the handling of many smalls files and possible improvements and augmentations. We have many small xml files. These files are previously processed by another system that puts them in our datalake, but as an add...
Hi @Bauke Brenninkmeijer Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best ...
Hi, looking for the right solution pattern for this scenario: We have millions of relatively small XML files (currently sitting in ADLS) that we have to load into delta lake. Each XML file has to be read, parsed, and pivoted before writing to a delta...
Hi @Steph Swierenga Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answe...
Even after maven library installation using the Auto installation.spark.read.option("rowTag", "tag").xml("dbfs:/mnt/dev/bronze/xml/fileName.xml")not working.
At present DLT does not support installing the maven library from the DLT pipeline. In the future this feature will come for sure so please wait for some time and keep checking data bricks runtime release docs https://docs.databricks.com/release-note...
I'm using spark version 3.2.1 on databricks (DBR 10.4 LTS), and I'm trying to convert sql server sql query to a new sql query that runs on a spark cluster using spark sql in sql syntax. However, spark sql does not seem to support XML PATH as a functi...
Posting the solution that I ended up using:%sql
DROP TABLE if exists UserCountry;
CREATE TABLE if not exists UserCountry (
UserID INT,
Country VARCHAR(5000)
);
INSERT INTO UserCountry
SELECT
L.UserID AS UserID,
CONCAT_WS(',', co...
Hi community,I'm trying to read XML data from Azure Datalake Gen 2 using com.databricks:spark-xml_2.12:0.12.0:spark.read.format('XML').load('abfss://[CONTAINER]@[storageaccount].dfs.core.windows.net/PATH/TO/FILE.xml')The code above gives the followin...
The issue was also raised here: https://github.com/databricks/spark-xml/issues/591A fix is to use the "spark.hadoop" prefix in front of the fs.azure spark config keys:spark.hadoop.fs.azure.account.oauth2.client.id.nubulosdpdlsdev01.dfs.core.windows.n...
File.json from the below code contains huge JSON data with each key containing namespace prefix(This JSON file converted from the XML file).I could able to retrieve if JSON does not contain namespaces but what could be the approach to retrieve record...
I have a set of xml files where the row tags change dynamically. How can we achieve this scenario in databricks.df1=spark.read.format('xml').option('rootTag','XRoot').option('rowTag','PL1PLLL').load("dbfs:/FileStore/tables/ins/")We need to pass a val...
If it is dynamically for the whole file, you can just use variabletag = 'PL1PLLL'
df1=spark.read.format('xml').option('rootTag','XRoot').option('rowTag' ,tag).load("dbfs:/FileStore/tables/ins/file.xml")
Hi All,I have few questions using the community edition 1) max file size that is allowed to be uploaded (data file) in community edition ?2) is XML file supported as well ? Regards,Rakesh
e.g.dataframe is having firstname,lastname,middlename,id,salaryI need to convert dataframe in xml file but in nested format.output as nested xml<Name> <firatname> <middlename> <lastname> </Name><id></id><salary></salary>Anyone has ides ho...
databricks has a xml connector:https://docs.databricks.com/data/data-sources/xml.htmlBasically you just define a df with the correct structure and write it to xml.To create a nested df, here you can find some info.
I have to write the extracted data from XML to DB , i am using Dataframe for transformation and trying to load that to DB.I have installed these libraries,com.databricks:spark-xml_2.12:0.15.0com.microsoft.azure:spark-mssql-connector_2.11_2.4:1.0.2and...
Hi @shafana Roohi Jahubar Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. We'd love to hear from ...
Hi team, we are trying to read multiple tiny XML files, able to parse them using the data bricks XML jar, but is there any way to read these files in parallel and distribute the load across the cluster? right now our job is taking 90% of the time rea...
Thank you @Hubert Dudek for the suggestion. Similar to your recommendation, we added a step in our pipeline to merge the small files to large files and make them available for the spark job.
I have 8gb of XML data loaded into different dataframes, there are two dataframes which has 24 lakh and 82 lakh data to be written to a 2 SQL server tables which is taking so 2 hrs and 5 hrs of time to write it. I am using the below cluster configura...
When writing unit tests with unittest / pytest in PySpark, reading mockup datasources with built-in datatypes like csv, json (spark.read.format("json")) works just fine.But when reading XML´s with spark.read.format("com.databricks.spark.xml") in the ...
Please install spark-xml from Maven. As it is from Maven you need to install it for cluster which you are using in cluster settings (alternatively using API or CLI)https://mvnrepository.com/artifact/com.databricks/spark-xml
Hello,We have a large XML file (9 GB) that we can't read.We have this error : VM size limitBut how can we change the VM size limit ?We have tested many clusters, but no one can read this file.Thank you for your help.
Hi @Salah K.,Just a friendly follow-up. Did any of the responses help you to resolve your question? if it did, please mark it as best. Otherwise, please let us know if you still need help.
