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CompactParquetFiles
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| # Read the S3 folder as glue dynamic data frames | |
| input_dyf = glueContext.create_dynamic_frame_from_options("s3", { | |
| "paths": [ inputPath ], | |
| "recurse": True, | |
| "groupFiles": "inPartition" | |
| }, | |
| format = "parquet" | |
| ) | |
| # Repartition them as required | |
| repartitionedDYF = input_dyf.repartition(numberOfPartitions) | |
| # Write them as glue parquet files to boost performance. | |
| # Note: glueparquet files are compatible with parquet files and can be read | |
| # by any tool that reads a parquet file. | |
| glueContext.write_dynamic_frame.from_options( | |
| frame = repartitionedDYF, | |
| connection_type = "s3", | |
| connection_options = {"path": outputPath}, | |
| format = "glueparquet" | |
| ) |
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As per the aws documentation(https://docs.aws.amazon.com/glue/latest/dg/grouping-input-files.html), groupFiles is supported for DynamicFrames created from the following data formats: csv, ion, grokLog, json, and xml. This option is not supported for avro, parquet, and orc. Did your code work?