Hi Allan,
Good Morning
Thanks for your reply.
We have lots of external tables with parquet and gzip format.
Data will be pushed to those tables on regular interval with volume close
to 10-20GB/per day.
Our concern is that this process will generate lots of small files in the
tables. We are searc
Hi,
in our company, we are using a Hive table which is both partitioned and
clustered similar to the following snippet:
PARTITIONED BY (year INT, month INT, day INT, feed STRING)
CLUSTERED BY (key) INTO 1024 BUCKETS
Using this input table we regularly perform queries where we group by key
across
So far, my understanding has been that in Hive tables, each partition has a
schema and whenever you add a partition to a Hive table, the current table
schema is copied into the partition schema. This should allow a seamless
evolution of the schema. Recently I came across something that contradicts
The version that will support Spark2.0 is Hive2.2
No not know yet when this is going to be release.
-Original Message-
From: baipeng [mailto:b...@meitu.com]
Sent: 07 December 2016 08:04
To: user@hive.apache.org
Subject: When Hive on Spark will support Spark 2.0?
Does Anyone know when Hiv
Does Anyone know when Hive will release version to support Spark 2.0? Now hive
2.1.0 only supports spark 1.6.
