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J-D,
Priority is data population of tables using DataFrames. That’s all I heard the
most. It is the same with HBase. But, I bet once this is taken care of, the
fast querying part would follow because the data is now in Kudu. If SparkSQL
integration is there, that would simplify things even more
>
> Do they care being able to insert into Kudu with SparkSQL
I care about insert into Kudu with Spark SQL. I'm currently delaying a
refactoring of some Spark SQL-oriented insert functionality while trying to
evaluate what to expect from Kudu. Whether Kudu does a good job supporting
inserts wit
Yup, starting to get a good idea.
What are your DS folks looking for in terms of functionality related to
Spark? A SparkSQL integration that's as fully featured as Impala's? Do they
care being able to insert into Kudu with SparkSQL or just being able to
query real fast? Anything more specific to S
Yes, we took Kudu for a test run using 0.6 and 0.7 versions. But, since it’s
not “production-ready”, upper management doesn’t want to fully deploy it yet.
They just want to keep an eye on it though. Kudu was so much simpler and easier
to use in every aspect compared to HBase. Impala was great fo
On Sun, Apr 10, 2016 at 12:30 AM, Benjamin Kim wrote:
> J-D,
>
> The main thing I hear that Cassandra is being used as an updatable hot
> data store to ensure that duplicates are taken care of and idempotency is
> maintained. Whether data was directly retrieved from Cassandra for
> analytics, rep
J-D,
The main thing I hear that Cassandra is being used as an updatable hot data
store to ensure that duplicates are taken care of and idempotency is
maintained. Whether data was directly retrieved from Cassandra for analytics,
reports, or searches, it was not clear as to what was its main use.
