Hi Shalom,
It happens almost at every restart, either a single node or a rolling one.
I do agree with you that it is good, at least on my setup, to wait few
minutes to let the rebooted node to cool down before moving to the next.
The more I look at it the more I think is something coming from hint
I was able to resolve the issue with a rolling restart of the cluster.
From: James Shaw
Sent: Thursday, August 23, 2018 7:52 PM
To: user@cassandra.apache.org
Subject: Re: Cassandra 2.2.7 Compaction after Truncate issue
you may go OS level to delete the files.That's what I did before. Truncate
The truncation was performed via OpsCenter, which I believe is ALL by default.
From: Rahul Singh
Sent: Thursday, August 23, 2018 6:55 PM
To: user@cassandra.apache.org
Subject: Re: Cassandra 2.2.7 Compaction after Truncate issue
David ,
What CL do you set when running this command?
Rahul Singh
Folks,
Based on the information found here
https://docs.datastax.com/en/dse-planning/doc/planning/planningPartitionSize.html
,
the recommended limit for a partition size is 100MB. Even though, DataStax
clearly states that this is a rule of thumb, some team members are claiming
that our Cassandra *
Hi Gedeon,
you should check Robert Stupp's 2016 talk about large partitions :
https://www.youtube.com/watch?v=N3mGxgnUiRY
Cheers,
On Thu, Sep 13, 2018 at 6:42 PM Gedeon Kamga wrote:
> Folks,
>
> Based on the information found here
> https://docs.datastax.com/en/dse-planning/doc/planning/plann
I disagree.
We had several over 150MB in 3.11 and we were able to break cluster doing
r/w from these partitions in a short period of time.
On Thu, Sep 13, 2018, 12:42 Gedeon Kamga wrote:
> Folks,
>
> Based on the information found here
> https://docs.datastax.com/en/dse-planning/doc/planning/pl
It depends on a number of factors, such as compaction strategy and read
patterns. I recommend sticking to the 100MB per partition limit (and I aim
for significantly less than that).
If you're doing time series with TWCS & TTL'ed data and small enough
windows, and you're only querying for a small
I ran “alter table” today to add the “task_output_capture_state” column (see
below), and we found a few rows inserted around the time of the ALTER TABLE did
not contain the same values when selected as when they were inserted.
When the row was selected, what we saw was:
- test_id —> OK (same as
Correction — we’re running C* 3.0.8. DataStax Python driver 3.4.1.
> On Sep 13, 2018, at 1:11 pm, Max C. wrote:
>
> I ran “alter table” today to add the “task_output_capture_state” column (see
> below), and we found a few rows inserted around the time of the ALTER TABLE
> did not contain the
CASSANDA-13004 (fixed in recent 3.0 and 3.11 builds)
On Thu, Sep 13, 2018 at 1:12 PM Max C. wrote:
> I ran “alter table” today to add the “task_output_capture_state” column
> (see below), and we found a few rows inserted around the time of the ALTER
> TABLE did not contain the same values when
Yep, that’s the problem! Thanks Jeff (and Alex Petrov for fixing it).
- Max
> On Sep 13, 2018, at 1:24 pm, Jeff Jirsa wrote:
>
> CASSANDA-13004 (fixed in recent 3.0 and 3.11 builds)
-
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Hi,
We are using Apache Cassandra 3.11.2 on RedHat 7
The data can grow to +100TB however the hot data will be in most cases less
than 10TB but we still need to keep the rest of data accessible.
Anyone has this problem?
What is the best way to make the cluster more efficient?
Is there a way to some
Not quite a solution but you will probably be interested in the discussion
on this ticket: https://issues.apache.org/jira/browse/CASSANDRA-8460
On Fri, 14 Sep 2018 at 10:46 Alaa Zubaidi (PDF)
wrote:
> Hi,
>
> We are using Apache Cassandra 3.11.2 on RedHat 7
> The data can grow to +100TB however
On piątek, 14 września 2018 02:46:43 CEST Alaa Zubaidi (PDF) wrote:
> The data can grow to +100TB however the hot data will be in most cases less
> than 10TB but we still need to keep the rest of data accessible.
> Anyone has this problem?
> What is the best way to make the cluster more efficient?
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