Thanks a lot for the info :)
On Tue, Nov 6, 2018 at 11:11 AM DuyHai Doan wrote:
> Cassandra will execute such request using a Partition Range Scan.
>
> See more details here http://www.doanduyhai.com/blog/?p=13191, chapter E
> Cluster Read Path (look at the formula of Concurrency Factor)
>
>
>
>
Hello,
while bootstrapping a new node into an existing cluster, a node which is acting
as source for streaming got restarted unfortunately. Since then, from nodetool
netstats I don't see any progress for this particular node anymore.
E.g.:
/X.X.X.X
Receiving 94 files, 260.09 GB total.
After a bulk load of writes to existing partition keys (with a higher
timestamp), I wanted to free disk space, suspecting that rows will be in
the highest levels and it would take a time until they were compacted.
I've started a major compaction, and the disk usage went from ~30% to ~40%
(as expect
I would wipe the new node and bootstrap again. I do not know of any way to
resume the streaming that was previously in progress.
Sean Durity
From: Steinmaurer, Thomas
Sent: Wednesday, November 07, 2018 5:13 AM
To: user@cassandra.apache.org
Subject: [EXTERNAL] Cassandra 2.1 bootstrap - No stream
We are engaging in both strategies at the same time:
1) We call it functional sharding - we write to clusters targeted according
to the type of data being written. Because different data types often have
different workloads this has the nice side effect of being able to tune
each cluster accordin
Interesting approach Eric, thanks for sharing that.
Regarding this:
> I've read documents recommended to use clusters with less than 50 or 100
nodes (Netflix got hundreds of clusters with less 100 nodes on each).
Not sure where you read that, but it's nonsense. We work with quite a few
clusters
I tend to recommend an approach similar to Eric’s functional sharding
although I describe it at quality of service sharding - group your small,
hot data into one cluster and your large, cooler data into another so you
can provision infrastructure and tune according. I guess it depends on you
manage