I found a method in HashMapWrapper class . I think hive will use statistics
to adjust threshold automatically.
public static int calculateTableSize(
float keyCountAdj, int threshold, float loadFactor, long keyCount) {
if (keyCount = 0 keyCountAdj != 0) {
// We have statistics for the table.
Can you check if this is actually being used in your case?
From: r7raul1...@163.commailto:r7raul1...@163.com
r7raul1...@163.commailto:r7raul1...@163.com
Reply-To: user user@hive.apache.orgmailto:user@hive.apache.org
Date: Friday, August 28, 2015 at 00:53
To: user
I have a question. I use hive 1.1.0 ,so hive.stats.dbclass default value
is fs. Mean store statistics
in local filesystem. Any one can tell what is the file path to store
statistics ?
The statistics aren't stored in the file system long term - the final
destination for stats is the metastore.
Hi All,
Can anyone suggest any python libraries to call hive queries from python
scripts ?
what is the best practice to execute queries from python like using hive
cli , beeline, jdbc etc..,
Thanks
Giri
Can anyone suggest any python libraries to call hive queries from python
scripts ?
https://cwiki.apache.org/confluence/display/Hive/HiveClient#HiveClient-Pyth
on
Though I suspect that's out of date.
https://github.com/t3rmin4t0r/amplab-benchmark/blob/master/runner/run_query
.py#L604
is
Hi,
I often have the following situation: I have a small table with a list of
unique IDs and a very large table of events associated with the IDs. I want
to perform some aggregation including only events associated with IDs from
the small table.
Is there a rule of thumb for whether performing a
Writing side files from a map reduce job was more common a while ago. There are
severe disadvantages to doing so and resulting complexities. One complexity is
failure handling and retry, the other is speculative execution running multiple
attempts over the same split.
You say you want to look
So the use case is like this:
We want to be able to let the user point us to any number of columns in a
table and then run analysis on the values within that column irrespective
of the type of column (simple, complex, datatypes etc). The analysis can be
thought of as looking at all the values or a
