We have the following code which we used to load data to BigQuery table after reading the parquet files from Azure Data Lake Storage:df.write.format("bigquery").option( "parentProject", gcp_project_id ).option("table", f"{bq_table_name}").option( "te...
Hi all,I need to do a batch load from sql server into Databricks. I have CC enabled on some tables. The simple appears to be union CDC and regular table to get a single set of records to load, but this appears to be fraught with risk of out of sequen...
The trials succeed when the cell in the notebook is executed manually:However, the same process fails when executed as a Workflow: The error simply says that there's an issue with the objective function. However how can that be the case if I'm able t...
spark is case sensitive?Spark is not case sensitive by default. If you have same column name in different case (Name, name), if you try to select either "Name" or "name" column you will get column ambiguity error.There is a way to handle this issue b...
Hi I had similar issues with parquet files when trying to query athena, fix was i had to inspect the parquet file since it contained columns such as "Name", "name" which the aws crawler / athena would interpret as a duplicate column since it would se...
Hi team,I have a dataframe with 1269408570800 rows . I need to write this data to unity catalog table.How can I upload huge quantity of data ?I'm using databricks i runtime 15.4 LTS with 4 workers and each worker type is i3.4xlarge and driver of type...
Hey @Nagarathna @Lucas_TBrabo I’d like to share my opinion and some tips that might help:1. You should try to avoud filtering by spark_partition_id because you can create skewed partitions, you should use with repartition() and spark can optimize t...
I performed a POC where i have to check that can we create a new delta table which contains only particular version of data of normal delta table without copying the data and if we make changes or perform any operation(insert/delete/truncate/records)...
Thanks. It really helps me a lot But there is also an issue in shallow clone. We can only clone the full table data, particular delta version data using timestamp/version from the normal table using shallow clone but we can not clone the table data b...
Hi,I am trying to ingest abfss://datalake@datalakename.dfs.core.windows.net/Delta/Project1/sales_table but when writting the table schema on the yamls, I uncorrectly wrote this table in other unit catalog table:---kind: SinkDeltaTablemetadata: name:...
Hey @ep208 ,From the error message you’re seeing (LOCATION_OVERLAP), it seems that Unity Catalog is still tracking a table or volume that points to the same path you’re now trying to reuse:abfss://datalake@datalakename.dfs.core.windows.net/Delta/Proj...
We're looking to implement scd2 for tables in our lakehouse and we need to keep track of records that are being deleted in the source. Does anyone have a similar use case and can they outline some of the challenges they faced and workarounds they imp...
Hi @KG_777 Tracking deleted records in an SCD Type 2 implementation for a lakehouse architecture is indeed a challenging but common requirement.Here's an overview of approaches, challenges, and workarounds based on industry experience:Common Approach...
Hello, I have python code that collects data in json, and sends it to an S3 bucket, everything works fine. But when there is a lot of data, it causes memory overflow.So I want to save locally, for example in /tmp or dbfs:/tmp and after sending it to ...
I am experiencing the same problem. I create a file in /tmp and can verify that it exists. But when an attempt is made to open the file using pyspark, the file is not found. I noticed that the path I used to create the file is /tmp/foobar.parquet and...
Hi Community Experts,I hope this message finds you well. Our team is currently working on enhancing data quality within our Databricks environment and we are utilizing the Databricks DQX framework for this purpose. We are seeking detailed guidance an...
Hi shubham,How are you doing today?, It’s great to see your team focusing on data quality using the DQX framework—it’s a solid tool for keeping your data clean and reliable. To get started, I’d suggest beginning with simple checks like NOT NULL, IN R...
While running queries, both in SQL or notebooks, we get this error message below:INTERNAL_ERROR: Unexpected error when trying to access the statement result. Missing credentials to access the DBFS root storage container in Azure.The access connector ...
Hi @CJOkpala This error suggests an issue with the credentials needed to access your Azure storage container from Databricks. Let's troubleshoot this methodically since there seems to be a disconnect between your configured access connector and the a...
I have a python script which gets run in a databricks workflow job task run using the git integration. Originally, in the repo contained a git submodule with a library (not supported by databricks). Therefore I need to copy the library repo (which I ...
Thank you @lingareddy_Alva for your reply. Is it possible to have the path identification and copying done in a bash init script? I'd like to keep my run file clean as it is supposed to run also on other environments.
Hello,I have created a job with no timeout-seconds provided. But I am getting Error: Timed out within 20 minutes. I am running the below commands using Bash@3 task in ADO Pipeline yaml file. The code for the same is given belowtask: Bash@3 timeoutIn...
I am also facing the same issue, can you please let me know where to change the default timeout ?
Hi Team,Just wondering, how can I add a column to an existing table.I'd tried the below script but giving me an error:ParseException: [PARSE_SYNTAX_ERROR] Syntax error at or near '<'(line 1, pos 121)ALTER TABLE table_clone ADD COLUMNS col_name1 STRUC...
To add a STRUCT column to an existing table, use the correct syntax without $ symbols, such as ALTER TABLE table_clone ADD COLUMNS (col_name1 STRUCT<type: STRING, values: ARRAY<STRING>>)
Is there a Databricks Spark connector for Java, just like we have for Snowflake (reference of Snowflake spark connector - https://docs.snowflake.com/en/user-guide/spark-connector-use)Essentially, the use case is to transfer data from S3 to a Databric...
You don't need a separate Spark connector ,Databricks natively supports writing to Delta tables using standard Spark APIs. Instead of using JDBC, you can use df.write().format("delta") to efficiently write data from S3 to Databricks tables.
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