://issues.apache.org/jira/browse/SPARK-3660
On Tue, Feb 24, 2015 at 2:18 AM, Matus Faro matus.f...@kik.com wrote:
Hi,
Our application is being designed to operate at all times on a large
sliding window (day+) of data. The operations performed on the window
of data will change fairly frequently and I
Hi,
Our application is being designed to operate at all times on a large
sliding window (day+) of data. The operations performed on the window
of data will change fairly frequently and I need a way to save and
restore the sliding window after an app upgrade without having to wait
the duration of
case?
Are you sure that your configuration is good?
On Fri, Feb 13, 2015 at 1:17 AM, Matus Faro matus.f...@kik.com wrote:
Hi,
Please correct me if I'm wrong, in Spark Streaming, next batch will
not start processing until the previous batch has completed. Is there
any way to be able
Hi,
Please correct me if I'm wrong, in Spark Streaming, next batch will
not start processing until the previous batch has completed. Is there
any way to be able to start processing the next batch if the previous
batch is taking longer to process than the batch interval?
The problem I am facing
