spark-submit

问题 Is there a way to run spark-submit (spark v2.3.2 from HDP 3.1.0) while in a virtualenv? Have situation where have python file that uses python3 (and some specific libs) in a virtualenv (to isolate lib versions from rest of system). I would like to run this file with /bin/spark-submit , but attempting to do so I get... [me@airflowetl tests]$ source ../venv/bin/activate; /bin/spark-submit sparksubmit.test.py File "/bin/hdp-select", line 255 print "ERROR: Invalid package - " + name ^ SyntaxError

问题 Is there a way to run spark-submit (spark v2.3.2 from HDP 3.1.0) while in a virtualenv? Have situation where have python file that uses python3 (and some specific libs) in a virtualenv (to isolate lib versions from rest of system). I would like to run this file with /bin/spark-submit , but attempting to do so I get... [me@airflowetl tests]$ source ../venv/bin/activate; /bin/spark-submit sparksubmit.test.py File "/bin/hdp-select", line 255 print "ERROR: Invalid package - " + name ^ SyntaxError

问题 I have been trying to SparkSubmit programs in Airflow, but spark files are in a different cluster (1**.1*.0.21) and airflow is in (1**.1*.0.35). I am looking for a detailed explanation of this topic with examples. I cant copy or download any xml files or other files to my airflow cluster. When I try in SSH hook it says. Though I have many doubts using SSH Operator and BashOperator. Broken DAG: [/opt/airflow/dags/s.py] No module named paramiko 回答1: You can try using Livy In the following

问题 I have been trying to SparkSubmit programs in Airflow, but spark files are in a different cluster (1**.1*.0.21) and airflow is in (1**.1*.0.35). I am looking for a detailed explanation of this topic with examples. I cant copy or download any xml files or other files to my airflow cluster. When I try in SSH hook it says. Though I have many doubts using SSH Operator and BashOperator. Broken DAG: [/opt/airflow/dags/s.py] No module named paramiko 回答1: You can try using Livy In the following

问题 I have a SPARK cluster with Yarn, and I want to put my job's jar into a S3 100% compatible Object Store. If I want to submit the job, I search from google and seems that just simply as this way: spark-submit --master yarn --deploy-mode cluster <...other parameters...> s3://my_ bucket/jar_file However the S3 Object Store required user name and password to access. So how I can config those credential information to let SPARRK download the jar from S3? Many thanks! 回答1: You can use Default

问题 I have a SPARK cluster with Yarn, and I want to put my job's jar into a S3 100% compatible Object Store. If I want to submit the job, I search from google and seems that just simply as this way: spark-submit --master yarn --deploy-mode cluster <...other parameters...> s3://my_ bucket/jar_file However the S3 Object Store required user name and password to access. So how I can config those credential information to let SPARRK download the jar from S3? Many thanks! 回答1: You can use Default

问题 I have been trying to SparkSubmit programs in Airflow, but spark files are in a different cluster (1**.1*.0.21) and airflow is in (1**.1*.0.35). I am looking for a detailed explanation of this topic with examples. I cant copy or download any xml files or other files to my airflow cluster. When I try in SSH hook it says. Though I have many doubts using SSH Operator and BashOperator. Broken DAG: [/opt/airflow/dags/s.py] No module named paramiko 回答1: You can try using Livy In the following

问题 This question already has answers here : Partitioning in spark while reading from RDBMS via JDBC (1 answer) What is the meaning of partitionColumn, lowerBound, upperBound, numPartitions parameters? (4 answers) Spark 2.1 Hangs while reading a huge datasets (1 answer) Closed 2 years ago . I am running below code in spark using Java. Code Test.java package com.sample; import org.apache.spark.SparkConf; import org.apache.spark.SparkContext; import org.apache.spark.sql.Dataset; import org.apache

问题 This question already has answers here : Partitioning in spark while reading from RDBMS via JDBC (1 answer) What is the meaning of partitionColumn, lowerBound, upperBound, numPartitions parameters? (4 answers) Spark 2.1 Hangs while reading a huge datasets (1 answer) Closed 2 years ago . I am running below code in spark using Java. Code Test.java package com.sample; import org.apache.spark.SparkConf; import org.apache.spark.SparkContext; import org.apache.spark.sql.Dataset; import org.apache

问题 To submit a Spark application to a cluster, their documentation notes: To do this, create an assembly jar (or “uber” jar) containing your code and its dependencies. Both sbt and Maven have assembly plugins. When creating assembly jars, list Spark and Hadoop as provided dependencies; these need not be bundled since they are provided by the cluster manager at runtime. -- http://spark.apache.org/docs/latest/submitting-applications.html So, I added the Apache Maven Shade Plugin to my pom.xml file