Write data to one CSV file in Databricks
- Chen Hirsh
- Jan 26
- 1 min read
Updated: Jan 27
Exporting data to a CSV file in Databricks can sometimes result in multiple files, odd filenames, and unnecessary metadata—issues that aren't ideal when sharing data externally. This guide explores two practical solutions: using Pandas for small datasets and leveraging Spark's coalesce to consolidate partitions into a single, clean file. Learn how to choose the right approach for your use case and ensure your CSV exports are efficient, shareable, and hassle-free.
See the full post on my blog - https://chenhirsh.com/write-data-to-one-csv-file-in-databricks/
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Writing data to a single CSV file in Databricks involves combining data into one partition before saving. This ensures all output is stored in one file. With CapCut APK, users can create short tutorials or explainers, using clean visuals and text overlays to guide viewers through each step of the process.
To write data to one CSV file in Databricks, use .coalesce(1).write.csv("path") to combine partitions into a single output file. CapCut APK Pro can help create clear tutorials—add code visuals, captions, and transitions to explain the process effectively for data professionals and students learning data engineering.