@jsensharma @asirna any guidance on how to upgrade spark in hdp 2.6 and hdp 3 ? In particular how to compile spark from source and then deploy it? ... View more

@asirna @jsensharma could you give some hint on how to upgrade to spark 2.4.0 in HDP 2.6.5 or HDP 3 ? ... View more

what about using spark to fetch data from hbase and load into solr ? This would allow transformations. Spark has great connector for both hbase and solr. ... View more

Maybe it is possible to install 2.4.0 manually and keep the 2.3.2 aside. This would not break anything but provide 2.4.0 if needed ... View more

Is there any way to update HDP to spark 2.4.0 manually then ? ... View more

I have tested the example and I get this error: java.lang.NoSuchMethodError: org.apache.spark.sql.hive.HiveSessionCatalog.<init>(Lorg/apache/spark/sql/hive/HiveExternalCatalog;Lorg/apache/spark/sql/catalyst/catalog/GlobalTempViewManager;Lorg/apache/spark/sql/hive/HiveMetastoreCatalog;Lorg/apache/spark/sql/catalyst/analysis/FunctionRegistry;Lorg/apache/spark/sql/internal/SQLConf;Lorg/apache/hadoop/conf/Configuration;Lorg/apache/spark/sql/catalyst/parser/ParserInterface;Lorg/apache/spark/sql/catalyst/catalog/FunctionResourceLoader;)V at org.apache.spark.sql.hive.llap.LlapSessionCatalog.<init>(LlapSessionCatalog.scala:49) at org.apache.spark.sql.hive.llap.LlapSessionStateBuilder.catalog$lzycompute(LlapSessionStateBuilder.scala:33) at org.apache.spark.sql.hive.llap.LlapSessionStateBuilder.catalog(LlapSessionStateBuilder.scala:32) at org.apache.spark.sql.hive.llap.LlapSessionStateBuilder.catalog(LlapSessionStateBuilder.scala:26) at org.apache.spark.sql.hive.HiveSessionStateBuilder$$anon$1.<init>(HiveSessionStateBuilder.scala:68) at org.apache.spark.sql.hive.HiveSessionStateBuilder.analyzer(HiveSessionStateBuilder.scala:68) at org.apache.spark.sql.internal.BaseSessionStateBuilder$$anonfun$build$2.apply(BaseSessionStateBuilder.scala:293) at org.apache.spark.sql.internal.BaseSessionStateBuilder$$anonfun$build$2.apply(BaseSessionStateBuilder.scala:293) at org.apache.spark.sql.internal.SessionState.analyzer$lzycompute(SessionState.scala:79) at org.apache.spark.sql.internal.SessionState.analyzer(SessionState.scala:79) at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:57) at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:55) at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:47) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:74) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:638) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:214) at java.lang.Thread.run(Thread.java:745) ... View more

@Sandeep Nemuri the mentioned article is about spark-thrift. I am looking for code for spark. Something equivalent to (from https://github.com/hortonworks-spark/spark-llap): val hive = com.hortonworks.spark.sql.hive.llap.HiveWarehouseBuilder.session(spark).build() hive.execute("describe extended web_sales").show(100, false) ... View more

Hi I guess nothing wrong with it: log4j.rootLogger = warn,xa_log_appender # xa_logger log4j.appender.xa_log_appender=org.apache.log4j.DailyRollingFileAppender log4j.appender.xa_log_appender.file=${logdir}/xa_portal.log log4j.appender.xa_log_appender.datePattern='.'yyyy-MM-dd log4j.appender.xa_log_appender.append=true log4j.appender.xa_log_appender.layout=org.apache.log4j.PatternLayout log4j.appender.xa_log_appender.layout.ConversionPattern=%d [%t] %-5p %C{6} (%F:%L) - %m%n log4j.appender.xa_log_appender.MaxFileSize={{ranger_xa_log_maxfilesize}}MB # xa_log_appender : category and additivity log4j.category.org.springframework=warn,xa_log_appender log4j.additivity.org.springframework=false log4j.category.org.apache.ranger=info,xa_log_appender log4j.additivity.org.apache.ranger=false log4j.category.xa=info,xa_log_appender log4j.additivity.xa=false # perf_logger log4j.appender.perf_appender=org.apache.log4j.DailyRollingFileAppender log4j.appender.perf_appender.file=${logdir}/ranger_admin_perf.log log4j.appender.perf_appender.datePattern='.'yyyy-MM-dd log4j.appender.perf_appender.append=true log4j.appender.perf_appender.layout=org.apache.log4j.PatternLayout log4j.appender.perf_appender.layout.ConversionPattern=%d [%t] %m%n # sql_appender log4j.appender.sql_appender=org.apache.log4j.DailyRollingFileAppender log4j.appender.sql_appender.file=${logdir}/xa_portal_sql.log log4j.appender.sql_appender.datePattern='.'yyyy-MM-dd log4j.appender.sql_appender.append=true log4j.appender.sql_appender.layout=org.apache.log4j.PatternLayout log4j.appender.sql_appender.layout.ConversionPattern=%d [%t] %-5p %C{6} (%F:%L) - %m%n # sql_appender : category and additivity log4j.category.org.hibernate.SQL=warn,sql_appender log4j.additivity.org.hibernate.SQL=false log4j.category.jdbc.sqlonly=fatal,sql_appender log4j.additivity.jdbc.sqlonly=false log4j.category.jdbc.sqltiming=warn,sql_appender log4j.additivity.jdbc.sqltiming=false log4j.category.jdbc.audit=fatal,sql_appender log4j.additivity.jdbc.audit=false log4j.category.jdbc.resultset=fatal,sql_appender log4j.additivity.jdbc.resultset=false log4j.category.jdbc.connection=fatal,sql_appender log4j.additivity.jdbc.connection=false ... View more

Hi. I had the same issue, and setting hive.llap.client.consistent.splits to false make it working. However, I had to turn set hive.llap.execution.mode=none; to make it working. AFAIK i am now using hive2.10 without llap, but with doas ... View more

yes, I do : "Package libgfortran-4.8.5-16.el7_4.1.x86_64 already installed and latest version" ... View more