我正在尝试为Sqoop日志创建一个正则表达式 .
以下是日志:
> Warning: /usr/lib/sqoop/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/lib/hadoop/lib/slf4j-log4j12-
1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/hive/lib/log4j-slf4j-impl-2.6.2.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
18/12/06 07:03:04 INFO sqoop.Sqoop: Running Sqoop version: 1.4.6
18/12/06 07:03:05 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
18/12/06 07:03:05 WARN sqoop.ConnFactory: Parameter --driver is set to an explicit driver however appropriate connection manager is not being set (via --connection-manager). Sqoop is going to fall back to org.apache.sqoop.manager.GenericJdbcManager. Please specify explicitly which connection manager should be used next time.
18/12/06 07:03:05 INFO manager.SqlManager: Using default fetchSize of 1000
18/12/06 07:03:05 INFO tool.CodeGenTool: Beginning code generation
18/12/06 07:03:06 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM ROH319P4 AS t WHERE 1=0
18/12/06 07:03:06 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /usr/lib/hadoop-mapreduce
Note: /tmp/sqoop-root/compile/92b93a5009481a238e86271708bb80e0/ROH319P4.java uses or overrides a deprecated API.
Note: Recompile with -Xlint:deprecation for details.
18/12/06 07:03:10 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-root/compile/92b93a5009481a238e86271708bb80e0/ROH319P4.jar
18/12/06 07:03:10 INFO mapreduce.ImportJobBase: Beginning import of ROH319P4
18/12/06 07:03:10 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
18/12/06 07:03:11 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
18/12/06 07:03:11 INFO client.RMProxy: Connecting to ResourceManager at ip-172-27-88-6.ap-south-1.compute.internal/172.27.88.6:8032
18/12/06 07:03:14 INFO db.DBInputFormat: Using read commited transaction isolation
18/12/06 07:03:14 INFO mapreduce.JobSubmitter: number of splits:1
18/12/06 07:03:14 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1536239303820_0582
18/12/06 07:03:15 INFO impl.YarnClientImpl: Submitted application application_1536239303820_0582
18/12/06 07:03:15 INFO mapreduce.Job: The url to track the job: http://ip-172-27-88-6.ap-south-1.compute.internal:20888/proxy/application_1536239303820_0582/
18/12/06 07:03:15 INFO mapreduce.Job: Running job: job_1536239303820_0582
18/12/06 07:03:22 INFO mapreduce.Job: Job job_1536239303820_0582 running in uber mode : false
18/12/06 07:03:22 INFO mapreduce.Job: map 0% reduce 0%
18/12/06 07:03:28 INFO mapreduce.Job: map 100% reduce 0%
18/12/06 07:03:28 INFO mapreduce.Job: Job job_1536239303820_0582 completed successfully
18/12/06 07:03:28 INFO mapreduce.Job: Counters: 30
File System Counters
FILE: Number of bytes read=0
FILE: Number of bytes written=189523
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=87
HDFS: Number of bytes written=4997
HDFS: Number of read operations=4
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Other local map tasks=1
Total time spent by all maps in occupied slots (ms)=742431
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=4057
Total vcore-milliseconds taken by all map tasks=4057
Total megabyte-milliseconds taken by all map tasks=23757792
Map-Reduce Framework
Map input records=38
Map output records=38
Input split bytes=87
Spilled Records=0
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=62
CPU time spent (ms)=1260
Physical memory (bytes) snapshot=295165952
Virtual memory (bytes) snapshot=7060725760
Total committed heap usage (bytes)=340262912
File Input Format Counters
Bytes Read=0
File Output Format Counters
Bytes Written=4997
18/12/06 07:03:28 INFO mapreduce.ImportJobBase: Transferred 4.8799 KB in 17.1259 seconds (291.781 bytes/sec)
18/12/06 07:03:28 INFO mapreduce.ImportJobBase: Retrieved 38 records.
我尝试创建的正则表达式:
^(\ d {4} / \ d {2} / \ d {2})\ s(\ d {2} . \ d {2} . \ d {2})\ s(\ S)\ s (\ S)\ s( . *)$
所以我的目标是获取格式如下的行:
18/12/06 07:03:06 INFO orm.CompilationManager:HADOOP_MAPRED_HOME是/ usr / lib / hadoop-mapreduce
任何人都可以帮我解决正则表达式吗?
1 回答
你的正则表达式几乎是正确的,除了以下,
首先
\d{4}
应该是\d{2}
,因为年份只有两位数 . 如果你认为它可以有4到2位数,你可以使用\d{2,4}
/
字符需要像这样在正则表达式中进行转义\/
而不是
.
,你需要使用:
,因为你的时间是冒号分开的 . 虽然.
会匹配任何角色甚至冒号,但我认为你应该更精确并使用:
所以你更新了正则表达式,成功匹配日志文件中的行,
Check here
如果您不想要捕获组,非捕获组会变得更好,
Without groups