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Apache Sqoop (SQL-to-Hadoop) bridged traditional databases and Hadoop ecosystems. A lesser-known feature allowed developers to generate a standalone job JAR directly from an export command, enabling performance tuning and customizations.
Generating a Sqoop Export Job JAR
Example export command that produces a JAR file:
sqoop export \
--connect jdbc:RDBMS:thin:@HOSTNAME:PORT:DBNAME \
--table TABLENAME \
--username USERNAME \
--password PASSWORD \
--export-dir HDFS_DIR \
--direct \
--fields-terminated-by ',' \
--package-name JOBNAME.IDENTIFIER \
--outdir OUTPUT_DIR \
--bindir BIN_DIR
After running the command, a JAR file appears in the output directory. Unpack the JAR to inspect:
- Generated Java source
- Precompiled classes
- Record-handling and mapper logic
Running the Export with the Precompiled Class
Use your generated JAR instead of Sqoop's dynamic code:
sqoop export \
--connect jdbc:RDBMS:thin:@HOSTNAME:PORT:DBNAME \
--table TABLENAME \
--username USERNAME \
--password PASSWORD \
--export-dir HDFS_DIR \
--direct \
--fields-terminated-by ',' \
--jar-file PATH/TO/JAR \
--class-name JOBNAME.IDENTIFIER.CLASSNAME
Using the generated class removes on-the-fly compilation and allows deeper optimization. In one case, exporting one hundred thousand records improved from sixteen seconds to eight seconds.
Why This Technique Still Matters
Even today, Sqoop pipelines continue to run in enterprise clusters. Understanding how to generate and tune job JARs:
- Improves stability
- Simplifies debugging
- Helps with migration to modern ingestion systems
Reference
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