Wednesday 27 April 2022

Sqoop: customize line separator while importing the data

When you are importing the data using ‘sqoop import’ command, sqoop use new line as row separator

 

You can customize the line separator using ‘--lines-terminated-by’ option.

 

Example

sqoop import \
--connect "jdbc:mysql://quickstart.cloudera:3306/retail_db" \
--username "root" \
--password "cloudera" \
--table "customers" \
--target-dir /line_separator_demo \
-m 1 \
--where "customer_id < 10" \
--lines-terminated-by ';'

 

[cloudera@quickstart ~]$ sqoop import \
> --connect "jdbc:mysql://quickstart.cloudera:3306/retail_db" \
> --username "root" \
> --password "cloudera" \
> --table "customers" \
> --target-dir /line_separator_demo \
> -m 1 \
> --where "customer_id < 10" \
> --lines-terminated-by ';'
Warning: /usr/lib/sqoop/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
22/04/03 22:30:14 INFO sqoop.Sqoop: Running Sqoop version: 1.4.6-cdh5.13.0
22/04/03 22:30:14 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
22/04/03 22:30:15 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset.
22/04/03 22:30:15 INFO tool.CodeGenTool: Beginning code generation
22/04/03 22:30:15 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `customers` AS t LIMIT 1
22/04/03 22:30:15 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `customers` AS t LIMIT 1
22/04/03 22:30:15 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /usr/lib/hadoop-mapreduce
Note: /tmp/sqoop-cloudera/compile/af8b98018073635bb6a1970ca3018e6e/customers.java uses or overrides a deprecated API.
Note: Recompile with -Xlint:deprecation for details.
22/04/03 22:30:17 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-cloudera/compile/af8b98018073635bb6a1970ca3018e6e/customers.jar
22/04/03 22:30:17 WARN manager.MySQLManager: It looks like you are importing from mysql.
22/04/03 22:30:17 WARN manager.MySQLManager: This transfer can be faster! Use the --direct
22/04/03 22:30:17 WARN manager.MySQLManager: option to exercise a MySQL-specific fast path.
22/04/03 22:30:17 INFO manager.MySQLManager: Setting zero DATETIME behavior to convertToNull (mysql)
22/04/03 22:30:17 INFO mapreduce.ImportJobBase: Beginning import of customers
22/04/03 22:30:17 INFO Configuration.deprecation: mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address
22/04/03 22:30:17 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
22/04/03 22:30:18 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
22/04/03 22:30:18 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
22/04/03 22:30:19 WARN hdfs.DFSClient: Caught exception 
java.lang.InterruptedException
    at java.lang.Object.wait(Native Method)
    at java.lang.Thread.join(Thread.java:1281)
    at java.lang.Thread.join(Thread.java:1355)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.closeResponder(DFSOutputStream.java:967)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.endBlock(DFSOutputStream.java:705)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:894)
22/04/03 22:30:19 WARN hdfs.DFSClient: Caught exception 
java.lang.InterruptedException
    at java.lang.Object.wait(Native Method)
    at java.lang.Thread.join(Thread.java:1281)
    at java.lang.Thread.join(Thread.java:1355)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.closeResponder(DFSOutputStream.java:967)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.endBlock(DFSOutputStream.java:705)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:894)
22/04/03 22:30:19 WARN hdfs.DFSClient: Caught exception 
java.lang.InterruptedException
    at java.lang.Object.wait(Native Method)
    at java.lang.Thread.join(Thread.java:1281)
    at java.lang.Thread.join(Thread.java:1355)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.closeResponder(DFSOutputStream.java:967)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.endBlock(DFSOutputStream.java:705)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:894)
22/04/03 22:30:19 WARN hdfs.DFSClient: Caught exception 
java.lang.InterruptedException
    at java.lang.Object.wait(Native Method)
    at java.lang.Thread.join(Thread.java:1281)
    at java.lang.Thread.join(Thread.java:1355)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.closeResponder(DFSOutputStream.java:967)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.endBlock(DFSOutputStream.java:705)
    at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:894)
22/04/03 22:30:20 INFO db.DBInputFormat: Using read commited transaction isolation
22/04/03 22:30:20 INFO mapreduce.JobSubmitter: number of splits:1
22/04/03 22:30:20 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1649003113144_0007
22/04/03 22:30:20 INFO impl.YarnClientImpl: Submitted application application_1649003113144_0007
22/04/03 22:30:20 INFO mapreduce.Job: The url to track the job: http://quickstart.cloudera:8088/proxy/application_1649003113144_0007/
22/04/03 22:30:20 INFO mapreduce.Job: Running job: job_1649003113144_0007
22/04/03 22:30:27 INFO mapreduce.Job: Job job_1649003113144_0007 running in uber mode : false
22/04/03 22:30:27 INFO mapreduce.Job:  map 0% reduce 0%
22/04/03 22:30:33 INFO mapreduce.Job:  map 100% reduce 0%
22/04/03 22:30:33 INFO mapreduce.Job: Job job_1649003113144_0007 completed successfully
22/04/03 22:30:33 INFO mapreduce.Job: Counters: 30
    File System Counters
        FILE: Number of bytes read=0
        FILE: Number of bytes written=171816
        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=673
        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)=3307
        Total time spent by all reduces in occupied slots (ms)=0
        Total time spent by all map tasks (ms)=3307
        Total vcore-milliseconds taken by all map tasks=3307
        Total megabyte-milliseconds taken by all map tasks=3386368
    Map-Reduce Framework
        Map input records=9
        Map output records=9
        Input split bytes=87
        Spilled Records=0
        Failed Shuffles=0
        Merged Map outputs=0
        GC time elapsed (ms)=47
        CPU time spent (ms)=630
        Physical memory (bytes) snapshot=137871360
        Virtual memory (bytes) snapshot=1510182912
        Total committed heap usage (bytes)=60751872
    File Input Format Counters 
        Bytes Read=0
    File Output Format Counters 
        Bytes Written=673
22/04/03 22:30:33 INFO mapreduce.ImportJobBase: Transferred 673 bytes in 14.8699 seconds (45.2593 bytes/sec)
22/04/03 22:30:33 INFO mapreduce.ImportJobBase: Retrieved 9 records.
[cloudera@quickstart ~]$

Let’s query the folder /line_separator_demo and confirm the same.

[cloudera@quickstart ~]$ hadoop fs -cat /line_separator_demo/*
1,Richard,Hernandez,XXXXXXXXX,XXXXXXXXX,6303 Heather Plaza,Brownsville,TX,78521;2,Mary,Barrett,XXXXXXXXX,XXXXXXXXX,9526 Noble Embers Ridge,Littleton,CO,80126;3,Ann,Smith,XXXXXXXXX,XXXXXXXXX,3422 Blue Pioneer Bend,Caguas,PR,00725;4,Mary,Jones,XXXXXXXXX,XXXXXXXXX,8324 Little Common,San Marcos,CA,92069;5,Robert,Hudson,XXXXXXXXX,XXXXXXXXX,10 Crystal River Mall ,Caguas,PR,00725;6,Mary,Smith,XXXXXXXXX,XXXXXXXXX,3151 Sleepy Quail Promenade,Passaic,NJ,07055;7,Melissa,Wilcox,XXXXXXXXX,XXXXXXXXX,9453 High Concession,Caguas,PR,00725;8,Megan,Smith,XXXXXXXXX,XXXXXXXXX,3047 Foggy Forest Plaza,Lawrence,MA,01841;9,Mary,Perez,XXXXXXXXX,XXXXXXXXX,3616 Quaking Street,Caguas,PR,00725;[cloudera@quickstart ~]$

From the output, I can confirm that ; is used as line separator.


 

  

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