An Azure service that provides an enterprise-wide hyper-scale repository for big data analytic workloads and is integrated with Azure Blob Storage.
How to identify corrupt Parquet Files
How can I detect corrupt Parquet files? I recently ran a Synapse Pipeline/Data Flow, and when I previewed the data in the source data flow component, I received the following error: "Synapse Pipeline ADF at Source Job aborted due to stage failure: Task 0 in stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0 (TID 204) (vm-70b97998 executor 1): org.apache.spark.SparkException: Exception thrown in awaitResult: at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:301)"
I think the error indicates one or more corrupt Parquet files. The data source container/folder contains around 300 Parquet files. How do I iterate through these files and identify the corrupt Parquet files?
Azure Data Lake Storage
Azure Synapse Analytics
An Azure analytics service that brings together data integration, enterprise data warehousing, and big data analytics. Previously known as Azure SQL Data Warehouse.
Azure Data Factory
An Azure service for ingesting, preparing, and transforming data at scale.
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