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02-27-2018
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05-09-2018
12:30 PM
Hi guys, I have table employer like below in hbase 1 column=personal_data:age, timestamp=1472494356226, value=28 1 column=personal_data:name, timestamp=1472494329458, value=Kishore 2 column=personal_data:age, timestamp=1472494969330, value=35 2 column=personal_data:name, timestamp=1472494969330, value=Gopi I have another table Department like below in hbase 1 column=personal_data:age, timestamp=1472494356333, value=28 1 column=personal_data:department, timestamp=1472494329433, value=Admin 2 column=personal_data:age, timestamp=1472494969345, value=35 2 column=personal_data:deparment, timestamp=1472494962340, value=IT Can we join these two tables in hbase without using spark-scala and without loading this in to hive (since we can join these loading in to hive) I want to join these two tables in hbase only. Can we achieve this ?????? Any suggestions would be appreciated.
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Apache HBase
02-27-2018
03:06 PM
1 Kudo
hi, I am trying to insert my dataframe using orc and bzip2 compression but it is throwing me the error java.lang.IllegalArgumentException: Codec [bzip2] is not available. Available codecs are uncompressed, lzo, snappy, zlib, none.
at org.apache.spark.sql.hive.orc.OrcOptions.<init>(OrcOptions.scala:49)
at org.apache.spark.sql.hive.orc.OrcOptions.<init>(OrcOptions.scala:32)
at org My code is fields.write.format("orc").option("compression","bzip2").saveAsTable("prasadtest.descargatest")
I am using spark 2 for this.
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Apache Spark