Hi folk,
I have a problem with hdfs to kudu performance, I have created external table
with CSV data and ran "insert as select" from it to kudu-table and to
parquet-table:
Importing to parquet-table is 3x faster than to kudu - do you know some
tips/tricks to increase performance of import?
actu
Hi folk,
I have a problem with kudu: I need rebalance 8Tb of data due sizing cluster
with 3 new worker nodes, but it looks like it is not supported by KUDU, is it?
Best regards,
ANDREY KUZNETSOV
Software Engineering Team Leader
Office: +7 482 263 00 70 x 42766
Cell: +7 920 154 05 72 Email:
Hi Andrey,
Which version of Kudu and Impala are you using? Just that can make a huge
difference.
Apart from that, make sure Kudu has enough memory (no memory back
pressure), you have enough maintenance manager threads (1/3 or 1/4 the
number of disks), and that your partitioning favors good load d
(moving dev@ to bcc, this is not a question about how to implement
something in the Kudu codebase)
Right, there's no data balancing right now unless you add more
tablets/create new tables. If you can afford it, dump the table to Parquet,
drop the table, create a new one (that will get the distribu
