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Resolved! Support for Parquet brotli compression or a work around
Spark 3.3.1 supports the brotli compression codec, but when I use it to read parquet files from S3, I get:INVALID_ARGUMENT: Unsupported codec for Parquet page: BROTLIExample code:df = (spark.read.format("parquet") .option("compression", "brotli")...
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Given the new information I appended, I looked into the Delta caching and I can disable it:.option("spark.databricks.io.cache.enabled", False)This works as a work around while I read these files in to save them locally in DBFS, but does it have perfo...
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How can I change the parquet compression algorithm from gzip to something else?
Spark, by default, uses gzip to store parquet files. I would like to change the compression algorithm from gzip to snappy or lz4.
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