hi there,
Need help / suggestion to formulate a hive-only best feasible/optimized
strategy for:
- I have a table with list of reserved words - one word per row
- I have a string wherein I want to search the presence of each reserve
word and take a count of it .e.g: If there are 5 matches
Hi,
I have already added the spark-assembly jar in hive lib & here is my hive log
2015-03-16 10:40:08,299 INFO [main]: SessionState
(SessionState.java:printInfo(852)) - Added
[/opt/spark-1.2.1/assembly/target/scala-2.10/spark-assembly-1.2.1-hadoop2.4.0.jar]
to class path
2015-03-16 10:40:08,300
Hi, all
I've deleted jline from the Hadoop lib directory (under
hadoop_home/share/hadoop/yarn/lib?),
and added "export HADOOP_USER_CLASSPATH_FIRST=true" into
hive_home/conf/hive-env.sh,
but when hive is started, it shows the following info:
[INFO] Unable to bind key for unsupported operation: ba
OK,
This is the way I read it. Crearte table t1 .. partitioned by date will use
horizontal partitioning as per common with any RDBMS say Oracle.
The view I will create it as follows:
hive> create view v1 as select * from t1;
OK
Time taken: 0.073 seconds
hive> analyze table t1 par
hi,can i execute a hive script within another script?
in the following case:
create table T1(id string)partitioned by (date date);
create view V1(id, date)select id, date from T1
if i do the followingselect id from V1 where date = '2015-04-04'will the query
optimize on T1's partitioning?
and what if V1 is a bit more complex, further depending on othe
