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#!/usr/bin/env bash
# vim:ts=4:sts=4:sw=4:et
#
# Author: Hari Sekhon
# Date: 2019-12-10 11:33:52 +0000 (Tue, 10 Dec 2019)
#
# https://github.com/harisekhon/bash-tools
#
# License: see accompanying Hari Sekhon LICENSE file
#
# If you're using my code you're welcome to connect with me on LinkedIn and optionally send me feedback to help steer this or other code I publish
#
# https://www.linkedin.com/in/harisekhon
#
# Print each table's DDL metadata field eg. Location
#
# FILTER environment variable will restrict to matching fully qualified tables (<db>.<table>)
#
# Caveats:
#
# Hive is more reliable as Impala breaks on some table metadata definitions where Hive doesn't
#
# Impala is faster than Hive for the first ~1000 tables but then slows down
# so if you have a lot of tables I recommend you use the Hive version of this instead
#
# Tested on Impala 2.7.0, 2.12.0 on CDH 5.10, 5.16 with Kerberos and SSL
#
# For more documentation see the comments at the top of impala_shell.sh
# For a better version written in Python see DevOps Python tools repo:
#
# https://github.com/harisekhon/devops-python-tools
# you will almost certainly have to comment out / remove '-o pipefail' to skip authorization errors such as that documented in impala_list_tables.sh
set -eu # -o pipefail
[ -n "${DEBUG:-}" ] && set -x
srcdir="$(dirname "$0")"
usage(){
echo "usage: ${0##*/} <metadata_field> [impala_shell_options]"
exit 3
}
for arg; do
if [[ "$arg" =~ -h|--help ]]; then
usage
fi
done
if [ $# -lt 1 ]; then
usage
fi
field="$1"
shift
query_template="describe formatted {table}"
# exit the loop subshell if you Control-C
trap 'exit 130' INT
"$srcdir/impala_list_tables.sh" "$@" |
while read -r db table; do
printf '%s.%s\t' "$db" "$table"
query="${query_template//\{db\}/\`$db\`}"
query="${query//\{table\}/\`$table\`}"
{ "$srcdir/impala_shell.sh" --quiet -Bq "USE \`$db\`; $query" "$@" || echo "ERROR running query: $query" >&2; } |
{ grep "^$field" || echo UNKNOWN; } |
sed "s/^$field:[[:space:]]*//; s/[[:space:]]*NULL[[:space:]]*$//"
done
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