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75 lines
1.8 KiB
Bash
75 lines
1.8 KiB
Bash
#!/usr/bin/env bash
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# vim:ts=4:sts=4:sw=4:et
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#
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# Author: Hari Sekhon
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# Date: 2019-11-27 16:09:34 +0000 (Wed, 27 Nov 2019)
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#
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# https://github.com/HariSekhon/DevOps-Bash-tools
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#
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# License: see accompanying Hari Sekhon LICENSE file
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#
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# If you're using my code you're welcome to connect with me on LinkedIn and optionally send me feedback
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#
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# https://www.linkedin.com/in/HariSekhon
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#
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set -euo pipefail
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[ -n "${DEBUG:-}" ] && set -x
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usage(){
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cat <<EOF
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Recurses HDFS path arguments outputting HDFS MD5-of-MD5 checksums for each file
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Calls HDFS command which is assumed to be in \$PATH
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Capture stdout > file.txt for comparisons
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Make sure to kinit before running this if using a production Kerberized cluster
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Setting environment variable SKIP_ZERO_BYTE_FILES to any value will skip files with zero bytes to save time since
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they always return the same anyway: MD5-of-0MD5-of-0CRC32 00000000000000000000000070bc8f4b72a86921468bf8e8441dce5
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Caveats:
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This is slow because the HDFS command startup is slow and is called once per file path so doesn't scale well
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If you want to skip zero byte files, set environment variable \$SKIP_ZERO_BYTE_FILES
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See Also:
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hadoop_hdfs_files_native_checksums.jy
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from the adjacent GitHub repo:
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https://github.com/HariSekhon/DevOps-Python-tools
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I would have written this version in Python but the Snakebite library doesn't support checksum extraction
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usage: ${0##*/} <file_or_directory_paths>
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EOF
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exit 3
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}
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if [[ "${1:-}" =~ ^- ]]; then
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usage
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fi
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skip_zero_byte_files(){
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if [ -n "${SKIP_ZERO_BYTE_FILES:-}" ]; then
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awk '{if($5 != 0) print }'
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else
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cat
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fi
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}
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hdfs dfs -ls -R "$@" |
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grep -v '^d' |
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skip_zero_byte_files |
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awk '{ $1=$2=$3=$4=$5=$6=$7=""; print }' |
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#sed 's/^[[:space:]]*//' |
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while read -r filepath; do
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hdfs dfs -checksum "$filepath"
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done
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