sqoop export to hana failed - hadoop

Question

when I want to export data from sqoop to hana DB, I receive error message.
Here is sqoop call
sqoop export \
--connect "jdbc:sap://saphana:30115" \
--username username \
--password password \
--table "INTERFACE_BO.WR_CUSTOMER_DATA" \
--columns "WEEK_DAY_START,SALES_ORG,REG_ORDERS_CNT,REG_EMAILS_CNT,UNIQUE_EMAILS" \
--driver "com.sap.db.jdbc.Driver" \
--export-dir "/user/hive/warehouse/export.db/weekly_holding_report" \
--input-fields-terminated-by '\t'
This is the way how I create table
CREATE TABLE weekly_holding_report
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\t'
stored as textfile
AS
SELECT
...
I also tried many variants of stored as like: stored as parquet, etc.. but without any change
And here is reposponse
Warning: /opt/cloudera/parcels/CDH-5.8.0-1.cdh5.8.0.p0.42/bin/../lib/sqoop/../accumulo does not exist! Accumulo imports will fail.
Please set $ACCUMULO_HOME to the root of your Accumulo installation.
16/10/25 06:43:04 INFO sqoop.Sqoop: Running Sqoop version: 1.4.6-cdh5.8.0
16/10/25 06:43:04 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead.
16/10/25 06:43:05 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.
16/10/25 06:43:05 INFO manager.SqlManager: Using default fetchSize of 1000
16/10/25 06:43:05 INFO tool.CodeGenTool: Beginning code generation
16/10/25 06:43:05 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM INTERFACE_BO.WR_CUSTOMER_DATA AS t WHERE 1=0
16/10/25 06:43:05 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /opt/cloudera/parcels/CDH/lib/hadoop-mapreduce
Note: /tmp/sqoop-root/compile/515ace5e3ad6ad117ba5f5fa61bf279c/INTERFACE_BO_WR_CUSTOMER_DATA.java uses or overrides a deprecated API.
Note: Recompile with -Xlint:deprecation for details.
16/10/25 06:43:07 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-root/compile/515ace5e3ad6ad117ba5f5fa61bf279c/INTERFACE_BO.WR_CUSTOMER_DATA.jar
16/10/25 06:43:07 INFO mapreduce.ExportJobBase: Beginning export of INTERFACE_BO.WR_CUSTOMER_DATA
16/10/25 06:43:07 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
16/10/25 06:43:07 INFO Configuration.deprecation: mapred.map.max.attempts is deprecated. Instead, use mapreduce.map.maxattempts
16/10/25 06:43:08 INFO Configuration.deprecation: mapred.reduce.tasks.speculative.execution is deprecated. Instead, use mapreduce.reduce.speculative
16/10/25 06:43:08 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative
16/10/25 06:43:08 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
16/10/25 06:43:08 INFO client.RMProxy: Connecting to ResourceManager at cz-dc-v-564.mall.local/10.200.58.21:8032
16/10/25 06:43:10 INFO input.FileInputFormat: Total input paths to process : 10
16/10/25 06:43:10 INFO input.FileInputFormat: Total input paths to process : 10
16/10/25 06:43:10 INFO mapreduce.JobSubmitter: number of splits:4
16/10/25 06:43:10 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative
16/10/25 06:43:10 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1476740951886_1458
16/10/25 06:43:10 INFO impl.YarnClientImpl: Submitted application application_1476740951886_1458
16/10/25 06:43:10 INFO mapreduce.Job: The url to track the job: http://cz-dc-v-564.mall.local:8088/proxy/application_1476740951886_1458/
16/10/25 06:43:10 INFO mapreduce.Job: Running job: job_1476740951886_1458
16/10/25 06:43:18 INFO mapreduce.Job: Job job_1476740951886_1458 running in uber mode : false
16/10/25 06:43:18 INFO mapreduce.Job: map 0% reduce 0%
16/10/25 06:43:25 INFO mapreduce.Job: map 100% reduce 0%
16/10/25 06:43:25 INFO mapreduce.Job: Job job_1476740951886_1458 failed with state FAILED due to: Task failed task_1476740951886_1458_m_000000
Job failed as tasks failed. failedMaps:1 failedReduces:0
16/10/25 06:43:26 INFO mapreduce.Job: Counters: 13
Job Counters
Failed map tasks=1
Killed map tasks=3
Launched map tasks=4
Data-local map tasks=1
Rack-local map tasks=3
Total time spent by all maps in occupied slots (ms)=39746
Total time spent by all reduces in occupied slots (ms)=0
Total time spent by all map tasks (ms)=19873
Total vcore-seconds taken by all map tasks=19873
Total megabyte-seconds taken by all map tasks=30524928
Map-Reduce Framework
CPU time spent (ms)=0
Physical memory (bytes) snapshot=0
Virtual memory (bytes) snapshot=0
16/10/25 06:43:26 WARN mapreduce.Counters: Group FileSystemCounters is deprecated. Use org.apache.hadoop.mapreduce.FileSystemCounter instead
16/10/25 06:43:26 INFO mapreduce.ExportJobBase: Transferred 0 bytes in 17,9084 seconds (0 bytes/sec)
16/10/25 06:43:26 INFO mapreduce.ExportJobBase: Exported 0 records.
16/10/25 06:43:26 ERROR tool.ExportTool: Error during export: Export job failed!
Does anybody know what am I doing wrong?
Thanks for help!

Answer 1

Have you tried adding an sqoop argumment --m 1
this is basically for giving number of mappers so in this case try with mapper = 1
is your data is too huge(more than 1 gb's) then increase number of mappers

Answer 2

Check the logs for the corresponding job id, in your case job_1476740951886_1458. There must be some permission or connectivity issue(with the given saphana url), that is why it transferred zero bytes.