Anurag Srivastava created CARBONDATA-586:
Summary: Create table with 'Char' data type but it workes as
'String' data type
Key: CARBONDATA-586
URL: https://issues.apache.org/jira/browse/CARBONDATA-586
Github user chenliang613 commented on the issue:
https://github.com/apache/incubator-carbondata-site/pull/5
please rebase and solve the conflict.
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17/01/03 15:20:17 STATISTIC QueryStatisticsRecorderImpl: Time taken for
Carbon Optimizer to optimize: 2
17/01/03 15:20:23 STATISTIC DriverQueryStatisticsRecorderImpl: Print query
statistic for query id: 6047652460423237
+++-++
Hello Team,
I am worked on the following scenario,
- Created a hive table *hivetest*,
- Created a carbon table *employeedemo*,
- Loaded some records into hive table with load query,
- Executed the insert query on carbon table to load the records from the
hive table as below,
*inser
in carbon.properties, set enable.query.statistics=true,
then the query detail can be get, and then u can check.
regards
Jay
-- --
??: "??";;
: 2017??1??3??(??) 12:15
??: "dev";
: Re: how to make carbon run faster
i
Hi all,
On the execution of the following query :
LOAD DATA inpath 'hdfs://localhost:54310/csv/test.csv' INTO table employee
options('DELIMITER'=',', 'FILEHEADER'='id, firstname');
the table schema is a following :
-+
col_name data_type comment
--
is has a way ,to show carbon use index info,scan nums of lows, used time
,i use like multier index filter may be quicker,like a_id =1 and b_id=2
and c_id=3 and day='2017-01-01' ,the same to orc sql, day is used
partition,but *_id not has index, but orc is faster or near equal.i thank
this case ,c
hi, beidou
1. the amount of your data is 36GB, for 1 GB 1 block, 40 cores is enough,
but i think every task may takes too long time, so i suggest to
increase parallelism(for example, change --executor-cores 1 to 5)
then enable.blocklet.distribution=true may make more effect.
1.
You can add the date as filter condition also, for example : select * from
test_carbon where
status = xx (give a specific value) and date(a.create_time)>= '2016-11-01'
and date(a.create_time)<=
> '2016-12-26'.
this case test before , slow than orc
What are your exact business cases? Partitio
Hi all,
raised a jira issue :
https://issues.apache.org/jira/browse/CARBONDATA-585
On the execution of the following query :
LOAD DATA inpath 'hdfs://localhost:54310/csv/test.csv' INTO table employee
options('DELIMITER'=',', 'FILEHEADER'='id, firstname');
the table schema is a following :
-
Pallavi Singh created CARBONDATA-585:
Summary: Dictionary file is locked for Updation
Key: CARBONDATA-585
URL: https://issues.apache.org/jira/browse/CARBONDATA-585
Project: CarbonData
Iss
1.
You can add the date as filter condition also, for example : select * from
test_carbon where
status = xx (give a specific value) and date(a.create_time)>= '2016-11-01'
and date(a.create_time)<=
> '2016-12-26'.
What are your exact business cases? Partition and indexes both are good way
to impr
Anurag Srivastava created CARBONDATA-583:
Summary: Replace Function is not working for string/char
Key: CARBONDATA-583
URL: https://issues.apache.org/jira/browse/CARBONDATA-583
Project: Carbon
anubhav tarar created CARBONDATA-584:
Summary: no exception when table name is empty when using
bucketing in table using carbon source
Key: CARBONDATA-584
URL: https://issues.apache.org/jira/browse/CARBONDATA-
GitHub user sgururajshetty opened a pull request:
https://github.com/apache/incubator-carbondata-site/pull/5
Document Changes and Optimization
The parameter updated.
Website optimized for linking
You can merge this pull request into a Git repository by running:
$ git pull h
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