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Jher12
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Joined 8 months ago
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Warning When Attempting to Dynamically Name the Destination File During Export
Hi, I am using a Copy activity to extract data from a Lakehouse table by executing a SQL query in the Source section, and I am exporting the results as a CSV file. When I attempt to dynamically assign a name to the output file, I receive the warning shown in the image below. What are the best practices or supported methods for handling dynamic file names in this scenario? Any assistance would be appreciated.Solved734Views0likes4CommentsPipeline error - Can't access the pipeline
Hello, Whenever I try to access the pipelines I’m currently working on, I receive the error shown below. These pipelines are still in development, and some activities are deactivated. I usually have access to these pipelines and can work on them; however, as of today, I’m unable to do so. I would greatly appreciate any assistance. Error: Failed to open resourceCould not load resource 'test pipeline - external file'. Please ensure no mistakes in the JSON and that referenced resources exist. Status: UnknownError, Possible reason: TypeError: Cannot read properties of undefined (reading 'referenceName')Solved2.2KViews0likes7CommentsRe: Mismatch Between Table Name Case in Lakehouse Explorer and SQL Analytics Endpoint
Thank you suparnababu8, your quick response helped guide me to a solution. I was able to resolve the issue by recreating the tables loading them from another data lakehouse while ensuring the table names retained their original casing by using the code below to create the tables. Code: spark.conf.set('spark.sql.caseSensitive', True) df.write.format("delta").mode("overwrite").save(path) spark.sql(f"CREATE TABLE `{table_name}` USING DELTA LOCATION '{path}'")1.5KViews2likes1CommentMismatch Between Table Name Case in Lakehouse Explorer and SQL Analytics Endpoint
Why does the Lakehouse Explorer display table names in all lowercase, while the SQL Analytics Endpoint Explorer shows them in the intended letter case? Whenever I create notebooks that use the spark.catalog function, the table names are returned in lowercase instead of their original mixed-case format. How can I fix this? Any assistance would be greatly appreciated. Thank you in advance.Solved1.6KViews0likes7Comments
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