@malloc

导航

Sparksubmit

spark2-submit --master yarn --deploy-mode client --jars /bdpetl_data/app/etl_script/comm/lib/ojdbc6.jar  --executor-cores 1 --num-executors 10  --class webreport.Kafka2Hive /home/webreport.jar

spark-submit --master yarn-cluster --jars /bdpetl_data/app/etl_script/comm/lib/ojdbc6.jar --class webreport.SparkSqlTest /home/webreport.jar


spark-submit --queue root.Kanban.default --master yarn-cluster --conf spark.port.maxRetries=40 --num-executors 10 --executor-cores 1 --executor-memory 2G --jars /app/etl_script/comm/lib/ojdbc6.jar --class kanban.Ora_Twm_Cl_Tst_Inout_Today /app/etl_script/comm/lib/kanban.jar
//默认值
--executor-memory 1G
 --num-executors 2

spark-submit \
--class produce.OggDataToHive \
--master yarn-cluster \
--num-executors 6 \
--driver-memory 2g \
--executor-memory 7g \
--name fabOggToHive \
--conf spark.yarn.tags=non-stop,new,inited,running \
--conf spark.streaming.kafka.maxRatePerPartition=2000 \
--conf spark.executor.extraJavaOptions=-XX:+UseConcMarkSweepGC \
--jars /data05/bigdata/jars/commons-dbcp2-2.1.1.jar,/data05/bigdata/jars/commons-pool2-2.4.2.jar,/data05/bigdata/jars/ojdbc6.jar,/data05/bigdata/jars/mysql-connector-java-5.1.7-bin.jar \
--executor-cores 3 \
/data01/lpp/OggDataToHive.jar \
ogg_fab_history  \
ogg_kafka_offset \
hive \
g1   \
60

使用hive映射HBASE表 指定jar包
/opt/cloudera/parcels/CDH-5.8.3-1.cdh5.8.3.p0.2/lib/hive/lib/hive-hbase-handler-1.1.0-cdh5.8.3.jar

versions:
Hadoop     2.6.0+cdh5.8.3+1718
Kafka     0.10.0+kafka2.1.1
spark     1.6.0+cdh5.8.3+232
HDFS     2.6.0+cdh5.8.3+1718
Hive     1.1.0+cdh5.8.3+680
HBase     1.2.0+cdh5.8.3+204
ZooKeeper     3.4.5+cdh5.8.3+96

posted on 2019-07-04 15:52  malloc+  阅读(170)  评论(0编辑  收藏  举报