mirror of https://github.com/minio/minio.git
4752323e1c
Currently, listing directories on HDFS incurs a per-entry remote Stat() call penalty, the cost of which can really blow up on directories with many entries (+1,000) especially when considered in addition to peripheral calls (such as validation) and the fact that minio is an intermediary to the client (whereas other clients listed below can query HDFS directly). Because listing directories this way is expensive, the Golang HDFS library provides the [`Client.Open()`] function which creates a [`FileReader`] that is able to batch multiple calls together through the [`Readdir()`] function. This is substantially more efficient for very large directories. In one case we were witnessing about +20 seconds to list a directory with 1,500 entries, admittedly large, but the Java hdfs ls utility as well as the HDFS library sample ls utility were much faster. Hadoop HDFS DFS (4.02s): λ ~/code/minio → use-readdir » time hdfs dfs -ls /directory/with/1500/entries/ … hdfs dfs -ls 5.81s user 0.49s system 156% cpu 4.020 total Golang HDFS library (0.47s): λ ~/code/hdfs → master » time ./hdfs ls -lh /directory/with/1500/entries/ … ./hdfs ls -lh 0.13s user 0.14s system 56% cpu 0.478 total mc and minio **without** optimization (16.96s): λ ~/code/minio → master » time mc ls myhdfs/directory/with/1500/entries/ … ./mc ls 0.22s user 0.29s system 3% cpu 16.968 total mc and minio **with** optimization (0.40s): λ ~/code/minio → use-readdir » time mc ls myhdfs/directory/with/1500/entries/ … ./mc ls 0.13s user 0.28s system 102% cpu 0.403 total [`Client.Open()`]: https://godoc.org/github.com/colinmarc/hdfs#Client.Open [`FileReader`]: https://godoc.org/github.com/colinmarc/hdfs#FileReader [`Readdir()`]: https://godoc.org/github.com/colinmarc/hdfs#FileReader.Readdir |
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azure | ||
gcs | ||
hdfs | ||
nas | ||
s3 | ||
gateway.go |