我的文件位于 Hadoop 文件系统中；我需要对它们中的每一个运行phoenix批量导入。 现在我的 shell 脚本是这样的:
test.sh:
HADOOP_CLASSPATH=/usr/lib/hbase/lib/hbase-protocol-1.1.2.jar:/etc/hbase/conf hadoop jar /usr/lib/phoenix/lib/phoenix/phoenix-1.2.0-client.jar org.apache.phoenix.mapreduce.CsvBulkLoadTool --table NETWORK_HEALTH --input $1
hdfs dfs -ls/tmp/hbase-temp/tmp 的输出是:
-rw-r--r-- 2 root hadoop 405003334 2016-04-06 15:28 /tmp/hbase-temp/tmp/nodeHealth20160210-20160211.txt
-rw-r--r-- 2 root hadoop 1373330318 2016-04-06 15:28 /tmp/hbase-temp/tmp/nodeHealth20160211-20160212.txt
-rw-r--r-- 2 root hadoop 1303613420 2016-04-06 15:28 /tmp/hbase-temp/tmp/nodeHealth20160212-20160213.txt
-rw-r--r-- 2 root hadoop 1239413840 2016-04-06 15:28 /tmp/hbase-temp/tmp/nodeHealth20160214-20160215.txt
-rw-r--r-- 2 root hadoop 1342998954 2016-04-06 15:28 /tmp/hbase-temp/tmp/nodeHealth20160215-20160216.txt
-rw-r--r-- 2 root hadoop 1248737317 2016-04-06 15:29 /tmp/hbase-temp/tmp/nodeHealth20160216-20160217.txt
-rw-r--r-- 2 root hadoop 1146305115 2016-04-06 15:29 /tmp/hbase-temp/tmp/nodeHealth20160217-20160218.txt
-rw-r--r-- 2 root hadoop 1357281689 2016-04-06 15:29 /tmp/hbase-temp/tmp/nodeHealth20160218-20160219.txt
-rw-r--r-- 2 root hadoop 1113842508 2016-04-06 15:29 /tmp/hbase-temp/tmp/nodeHealth20160219-20160220.txt
-rw-r--r-- 2 root hadoop 1193977572 2016-04-06 15:29 /tmp/hbase-temp/tmp/nodeHealth20160220-20160221.txt
-rw-r--r-- 2 root hadoop 1005786711 2016-04-06 15:30 /tmp/hbase-temp/tmp/nodeHealth20160221-20160222.txt
-rw-r--r-- 2 root hadoop 1159168545 2016-04-06 15:30 /tmp/hbase-temp/tmp/nodeHealth20160222-20160223.txt
-rw-r--r-- 2 root hadoop 1163804889 2016-04-06 15:30 /tmp/hbase-temp/tmp/nodeHealth20160223-20160224.txt
-rw-r--r-- 2 root hadoop 1048950098 2016-04-06 15:30 /tmp/hbase-temp/tmp/nodeHealth20160224-20160225.txt
-rw-r--r-- 2 root hadoop 1251527803 2016-04-06 15:30 /tmp/hbase-temp/tmp/nodeHealth20160225-20160226.txt
-rw-r--r-- 2 root hadoop 1288661897 2016-04-06 15:31 /tmp/hbase-temp/tmp/nodeHealth20160226-20160227.txt
-rw-r--r-- 2 root hadoop 1226833581 2016-04-06 15:31 /tmp/hbase-temp/tmp/nodeHealth20160227-20160228.txt
-rw-r--r-- 2 root hadoop 1245110612 2016-04-06 15:31 /tmp/hbase-temp/tmp/nodeHealth20160228-20160229.txt
-rw-r--r-- 2 root hadoop 1321007542 2016-04-06 15:31 /tmp/hbase-temp/tmp/nodeHealth20160229-20160230.txt
-rw-r--r-- 2 root hadoop 1301010760 2016-04-06 15:31 /tmp/hbase-temp/tmp/nodeHealth20160301-20160302.txt
-rw-r--r-- 2 root hadoop 1121192190 2016-04-06 15:32 /tmp/hbase-temp/tmp/nodeHealth20160302-20160303.txt
-rw-r--r-- 2 root hadoop 1296388727 2016-04-06 15:32 /tmp/hbase-temp/tmp/nodeHealth20160303-20160304.txt
-rw-r--r-- 2 root hadoop 1280975648 2016-04-06 15:32 /tmp/hbase-temp/tmp/nodeHealth20160304-20160305.txt
-rw-r--r-- 2 root hadoop 1264795738 2016-04-06 15:32 /tmp/hbase-temp/tmp/nodeHealth20160305-20160306.txt
-rw-r--r-- 2 root hadoop 1248570281 2016-04-06 15:32 /tmp/hbase-temp/tmp/nodeHealth20160306-20160307.txt
-rw-r--r-- 2 root hadoop 1335704328 2016-04-06 15:33 /tmp/hbase-temp/tmp/nodeHealth20160307-20160308.txt
-rw-r--r-- 2 root hadoop 1246153114 2016-04-06 15:33 /tmp/hbase-temp/tmp/nodeHealth20160308-20160309.txt
-rw-r--r-- 2 root hadoop 1251409839 2016-04-06 15:33 /tmp/hbase-temp/tmp/nodeHealth20160309-20160310.txt
-rw-r--r-- 2 root hadoop 1120439077 2016-04-06 15:33 /tmp/hbase-temp/tmp/nodeHealth20160310-20160311.txt
-rw-r--r-- 2 root hadoop 1151595336 2016-04-06 15:33 /tmp/hbase-temp/tmp/nodeHealth20160311-20160312.txt
-rw-r--r-- 2 root hadoop 1304537932 2016-04-06 15:34 /tmp/hbase-temp/tmp/nodeHealth20160312-20160313.txt
-rw-r--r-- 2 root hadoop 1065020972 2016-04-06 15:34 /tmp/hbase-temp/tmp/nodeHealth20160313-20160314.txt
-rw-r--r-- 2 root hadoop 1237905144 2016-04-06 15:34 /tmp/hbase-temp/tmp/nodeHealth20160314-20160315.txt
-rw-r--r-- 2 root hadoop 1038185956 2016-04-06 15:34 /tmp/hbase-temp/tmp/nodeHealth20160315-20160316.txt
-rw-r--r-- 2 root hadoop 1216670016 2016-04-06 15:35 /tmp/hbase-temp/tmp/nodeHealth20160316-20160317.txt
-rw-r--r-- 2 root hadoop 1139180542 2016-04-06 15:35 /tmp/hbase-temp/tmp/nodeHealth20160317-20160318.txt
-rw-r--r-- 2 root hadoop 1052672363 2016-04-06 15:35 /tmp/hbase-temp/tmp/nodeHealth20160318-20160319.txt
-rw-r--r-- 2 root hadoop 892045686 2016-04-06 15:35 /tmp/hbase-temp/tmp/nodeHealth20160319-20160320.txt
当我运行下面的命令时，它仅适用于第一行:
hdfs dfs -ls /tmp/hbase-temp/tmp | awk '{print $8}' | xargs sh test.sh
如何解决它为 ls 输出中的每个文件运行 test.sh 的问题？
最佳答案
您可以使用进程替换:
while read -r _ _ _ _ _ _ _ var8 _; do
bash ./test.sh "$var8"
done < <(hdfs dfs -ls /tmp/hbase-temp/tmp)
如果您必须使用xargs，则使用-I选项:
hdfs dfs -ls /tmp/hbase-temp/tmp | awk '{print $8}' | xargs -I {} sh test.sh '{}'`
关于linux - 使用 ls 命令作为 shell 脚本的输入，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/36463236/