Work for hbase-spark module is still ongoing https://issues.apache.org/jira/browse/HBASE-14406
> On Oct 9, 2015, at 6:18 AM, Guru Medasani <gdm...@gmail.com> wrote: > > Hi Roy, > > Here is a cloudera-labs project SparkOnHBase that makes it really simple to > read HBase data into Spark. > > https://github.com/cloudera-labs/SparkOnHBase > > Link to blog that explains how to use the package. > > http://blog.cloudera.com/blog/2014/12/new-in-cloudera-labs-sparkonhbase/ > > It also has been committed to HBase project now. > > http://blog.cloudera.com/blog/2015/08/apache-spark-comes-to-apache-hbase-with-hbase-spark-module/ > > HBase Jira link: https://issues.apache.org/jira/browse/HBASE-13992 > > > Guru Medasani > gdm...@gmail.com > > > >> On Oct 8, 2015, at 9:29 PM, Roy Wang <roywang1...@163.com> wrote: >> >> >> I want to load hbase table into spark. >> JavaPairRDD<ImmutableBytesWritable, Result> hBaseRDD = >> sc.newAPIHadoopRDD(conf, TableInputFormat.class, >> ImmutableBytesWritable.class, Result.class); >> >> *when call hBaseRDD.count(),got error.* >> >> Caused by: java.lang.IllegalStateException: The input format instance has >> not been properly initialized. Ensure you call initializeTable either in >> your constructor or initialize method >> at >> org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getTable(TableInputFormatBase.java:389) >> at >> org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.createRecordReader(TableInputFormatBase.java:158) >> ... 11 more >> >> *But when job start,I can get these logs* >> 2015-10-09 09:17:00[main] WARN TableInputFormatBase:447 - initializeTable >> called multiple times. Overwriting connection and table reference; >> TableInputFormatBase will not close these old references when done. >> >> Does anyone know how does this happen? >> >> Thanks! >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/Error-in-load-hbase-on-spark-tp24986.html >> Sent from the Apache Spark User List mailing list archive at Nabble.com. >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >
