Hi @vjain ,   To configure the BuckeCache in the descripption there is a two JVM properties. Which one to use please?  : HBASE_OPTS  or HBASE_REGIONSERVER_OPTS    In the  hbase-env.sh  file for each RegionServer, or in the  hbase-env.sh  file supplied to Ambari, set the  -XX:MaxDirectMemorySize  argument for HBASE_REGIONSERVER_OPTS  to the amount of direct memory you wish to allocate to HBase. In the configuration for the example discussed above, the value would be  241664m . ( -XX:MaxDirectMemorySize  accepts a number followed by a unit indicator;  m  indicates megabytes.) HBASE_OPTS="$HBASE_OPTS -XX:MaxDirectMemorySize=241664m"   Thanks, Helmi KHALIFA ... View more

Hi,   I am facing the same problem. Do you find a solution to your problem ?   Best, Helmi Khalifa ... View more

hi @avengers    If it works for you, would you be kind enough to accept the answer please ?   Best, Helmi KHALIFA ... View more

Hi @avengers ,   U will need to share variables between two zeppelin interpreters and i dont think that we can do it between spark and sparkSQL.   I find an easier way by using sqlContext inside the same interpreter %spark:   %spark val df = spark.read.format("csv").option("header", "true") .option("inferSchema", "true").load("/somefile.csv")   df.createOrReplaceTempView("csvTable");   val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)   val resultat = sqlContext.sql("select * from csvTable lt join hiveTable rt on lt.col = rt.col")   resultat.show()   I tried it and it works !    Best, Helmi KHALIFA ... View more

Hi @av ,   Here the links for the Hive and Spark interpreter doc's : https://zeppelin.apache.org/docs/0.8.2/interpreter/hive.html https://zeppelin.apache.org/docs/0.8.2/interpreter/spark.html   Best, Helmi KHALIFA   ... View more

Hi @Rak ;   here the script : CREATE EXTERNAL TABLE IF NOT EXISTS sample_date (sc_code string, ddate timestamp, co_code DECIMAL, high DECIMAL, low DECIMAL, open DECIMAL, close DECIMAL, volume DECIMAL, no_trades DECIMAL, net_turnov DECIMAL, dmcap DECIMAL, return DECIMAL, factor DECIMAL, ttmpe DECIMAL, yepe DECIMAL, flag string) ROW FORMAT DELIMITED FIELDS TERMINATED BY ' ' LINES TERMINATED BY '\n' STORED AS TEXTFILE LOCATION '/lab/itim/ccbd/helmi/sampleDate' tblproperties('skip.header.line.count'='1'); ALTER TABLE sample_date SET SERDEPROPERTIES ("timestamp.formats"="MM/DD/YYYY");   Could you accept the answer please ?   Best, Helmi KHALIFA ... View more

Hi @Ra    You have to change the name and column type as youscan see in red below : sc_code string ddate date co_code double high double low double open double close double volume double no_trades double net_turnov double dmcap double return double factor double ttmpe double yepe double flag string   I tried it and it works well for me.   Best, Helmi KHALIFA ... View more

Hi @Rak ,   Can you show us some sample the 5 first rows of your csv file, please ?   Best, Helmi KHALIFA ... View more

Hi @RNN    The best solution is to convert the Monthes to integers like:   -Oct- => -10- -Dec- =>-12-   So that is what i tested as you can see my file below: $ hdfs dfs -cat /lab/helmi/test_timestamp_MM.txt 1,2019-10-14 20:00:01.027898 2,2019-12-10 21:00:01.023 3,2019-11-25 20:00:01.03 4,2019-01-06 20:00:01.123   Create a Hive table : hive> CREATE EXTERNAL TABLE ttime(id int, t string) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE LOCATION '/lab/helmi/';   hive> select * from ttime; OK 1 2019-10-14 20:00:01.027898 2 2019-12-10 21:00:01.023 3 2019-11-25 20:00:01.03 4 2019-01-06 20:00:01.123 Time taken: 0.566 seconds, Fetched: 4 row(s)   Finally i created another table with the right format: hive> create table mytime as select id, from_utc_timestamp(date_format(t,'yyyy-MM-dd HH:mm:ss.SSSSSS'),'UTC') as datetime from ttime;       Best, Helmi KHALIFA           ... View more

HI @hadoopguy  Yes there is an impact you will have longer processing time and the operations will be queued.  You have to carefully handle the timeout in your jobs.    Best, @helmi_khalifa  ... View more