File Format Benchmark - Avro, JSON, ORC & Parquet
File Format Benchmark - Avro, JSON, ORC & ParquetAI-enhanced description This document summarizes a benchmark study of file formats for Hadoop, including Avro, JSON, ORC, and Parquet. It found that ORC with zlib compression generally performed best for full table scans. However, Avro with Snappy compression worked better for datasets with many shared strings. The document recommends experimenting
File Format Benchmarks - Avro, JSON, ORC, & Parquet
File Format Benchmarks - Avro, JSON, ORC, & ParquetAI-enhanced description The document evaluates the performance of various file formats for Hadoop, including Avro, JSON, ORC, and Parquet, using real datasets to ascertain strengths and weaknesses. It provides benchmark analyses on data size, read performance, and compression effectiveness, concluding that JSON is less efficient for processing, wh
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