File Format Benchmark - Avro, JSON, ORC & Parquet
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 with the benchmarks, as performance can vary based on data characteristic
File Format Benchmarks - Avro, JSON, ORC, & Parquet
File Format Benchmarks - Avro, JSON, ORC, & Parquet 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, while ORC and Parquet are
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
