Isn't there a very big (>40GB) sstable in /volumes/cassandra/data/data1? If
there is you could split it or change your data model to prevent such sstables.
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Forwarded message
From: Loïc CHANEL via user
To:
Date: Fri, 06
Another solution: distribute data in more tables, for example you could create
multiple tables based on value or hash_bucket of one of the columns, by doing
this current data volume and compaction overhead would be divided to the
number of underlying tables. Although there is a limitation for
timestamp) are
common due to manual config or no one thought such problems could prevent a
Cassandra node from joining the cluster!
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On Mon, 31 Jan 2022 16:35:50 +0330 onmstester onmstester
wrote ---
Once again it was related to hostname
I patched this on 3.11.2 easily:
1. build jar file from src and put in cassandra/lib directory
2. restart cassandra service
3. alter table using compression zstd and rebuild sstables
But it was in a time when 4.0 was not available yet and after that i upgraded
to 4.0 immidiately.
Sent
PM Jim Shaw <mailto:jxys...@gmail.com> wrote:
if capacity allowed, increase compaction_throughput_mb_per_sec as 1st tuning,
and if still behind, increase concurrent_compactors as 2nd tuning.
Regards,
Jim
On Fri, Sep 2, 2022 at 3:05 AM onmstester onmstester via user
<ma
onmstester onmstester via user
wrote ---
I was there too! and found nothing to work around it except stopping
big/unnecessary compactions manually (using nodetool stop) whenever they
appears by some shell scrips (using crontab)
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On Fri, 02 Sep 2022
I was there too! and found nothing to work around it except stopping
big/unnecessary compactions manually (using nodetool stop) whenever they
appears by some shell scrips (using crontab)
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On Fri, 02 Sep 2022 10:59:22 +0430 Gil Ganz wrote ---
Forgot to mention that i'm using default STCS for all tables
On Sun, 06 Mar 2022 12:29:52 +0330 onmstester onmstester
wrote
Hi,
Sometimes compactions getting so slow (a few KBs per second for each
compaction) on a few nodes which would be fixed temporarily by restarting
Hi,
Sometimes compactions getting so slow (a few KBs per second for each
compaction) on a few nodes which would be fixed temporarily by restarting
restarting cassandra (although would coming back a few hours later).
Copied sstables related to slow compactions to a isolated/single node
persistent connections therefore the visible impact is on
connection establishment time (TLS handshake is expensive). Encryption will
make thundering herd problems worse. You should watch out for those two issues.
Dinesh
On Feb 5, 2022, at 3:53 AM, onmstester onmstester <mailto:onmstes..
Hi,
Anyone measured impact of wire encryption using TLS
(client_encryption/server_encryption) on cluster latency/throughput?
It may be dependent on Hardware or even data model but I already did some sort
of measurements and got to 2% for client encryption and 3-5% for client +
server
Thanks,
I've got only one client, 10 threads and 1K async writes, This single client
was able to send 110K insert/seconds to single node cluster but its only
sending 90K insert/seconds to the cluster with 2 nodes(client CPU/network usage
is less than 20%)
Sent using
Hi,
I'm trying to evaluate performance of Apache Cassandra V4.0.1 for write-only
workloads using on-premise physical servers.
On a single node cluster, doing some optimizations i was able to make CPU of
node >90%, throughput is high enough and CPU is the bottleneck as i expected.
Then
Once again it was related to hostname configuration (I remember had problem
with this multiple times before even on different applications), this time the
root cause was a typo in one of multiple config files for hostname (different
name on /etc/hostname with /etc/hosts)! I fixed that and now
Hi,
I'm trying to setup a Cluster of apache Cassandra version 4.0.1 with 2 nodes:
1. on node1 (192.168.1.1), extracted tar.gz and config these on yml:
- seeds: "192.168.1.1"
listen_address: 192.168.1.1
rpc_address: 192.168.1.1
2. started node1 and a few seconds later it is UN
to
GC, regardless what is the GC metric you are looking at saying,
you will need to address the issue and that probably will involve
some GC tunings.
On 15/11/2021 06:00, onmstester
onmstester wrote:
Hi,
We are using Apache Cassandra 3.11.2 with its default gc
Thank You
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On Tue, 16 Nov 2021 10:00:19 +0330 wrote
> I can, but i thought with 5TB per node already violated best practices (1-2
>TB per node) and won't be a good idea to 2X or 3X that?
The main downside of larger disks is that it takes
I can, but i thought with 5TB per node already violated best practices (1-2 TB
per node) and won't be a good idea to 2X or 3X that?
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On Mon, 15 Nov 2021 20:55:53 +0330 wrote
It sounds like you can downsize your cluster but increase your
Hi,
We are using Apache Cassandra 3.11.2 with its default gc configuration (CMS and
...) on a 16GB heap, i inspected gc logs using gcviewer and it reported 92% of
throughput, is that means not necessary to do any further tuning for gc? and
everything is ok with gc of Cassandra?
Sent
Hi,
In our Cassandra cluster, because of big rows in input data/data model with TTL
of several months, we ended up using almost 80% of storage (5TB per node), but
having less than 20% of CPU usage which almost all of it would be writing rows
to memtables and compacting sstables, so a lot of
Hi,
What about this type of blades, which gives you about 12 (commodity) servers
in 3U:
https://www.supermicro.com/en/products/microcloud
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On Tue, 03 Aug 2021 02:01:13 +0430 Joe Obernberger
wrote
Thank you Max. That is a solid choice.
Some posts/papers discusses this in more detail. for example the one from
thelastpickle:
https://thelastpickle.com/blog/2019/02/21/set-up-a-cluster-with-even-token-distribution.html
Which says:
Using statistical computation, the point where all clusters of any size always
had a good token
Beside the enhancements at storage layer, i think there are couple of good
ideas in Rocksdb that could be used in Cassandra, like the one with disabling
sort at memtable-insert part (write data fast like commitlig) and only sort the
data when flushing/creating sst files.
Sent using
, Feb 28, 2021 at 9:22 PM onmstester onmstester
<mailto:onmstes...@zoho.com.invalid> wrote:
Hi,
I'm using 3.11.2, just add the patch for zstd and changed table compression
from default (LZ4) to zstd with level 1 and chunk 64kb, everything is fine
(disk usage decreased by 40% and CPU
Hi,
I'm using 3.11.2, just add the patch for zstd and changed table compression
from default (LZ4) to zstd with level 1 and chunk 64kb, everything is fine
(disk usage decreased by 40% and CPU usage is almost the same as before), only
the memtable switch count was changed dramatically; with
Hi,
In a article by thelastpickle [1], i noticed:
The key here is to configure the cluster so that for a given datacenter the
number of racks is the same as the replication factor.
When using virtual machines as Cassandra nodes we have to set up the cluster in
a way that number of racks
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Forwarded message
From: onmstester onmstester
To: "user"
Date: Sat, 14 Nov 2020 08:24:14 +0330
Subject: Re: local read from coordinator
Forwarded message
Thank you Jeff,
I disabled dynamic_sni
is chosen in practice)
On Nov 11, 2020, at 3:46 AM, Alex Ott <mailto:alex...@gmail.com> wrote:
if you force routing key, then the replica that owns the data will be selected
as coordinator
On Wed, Nov 11, 2020 at 12:35 PM onmstester onmstester
<mailto:onmstes...@zoho.com.inval
Thanx,
But i'm OK with coordinator part, actually i was looking for kind of read CL to
force to read from the coordinator only with no other connections to other
nodes!
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Forwarded message
From: Alex Ott
To: "user"
Date:
Hi,
I'm going to read all the data in the cluster as fast as possible, i'm aware
that spark could do such things out of the box but just wanted to do it at low
level to see how fast it could be. So:
1. retrieved partition keys on each node using nodetool ring token ranges and
getting distinct
Hi,
I'm using ccm to create a cluster of 80 nodes on a physical server with 10
cores and 64GB of ram, but always the 43th node could not start with error:
java.lang.OutOfMemoryError: unable to create new native thread
apache cassandra 3.11.2
cassandra xmx600M
30GB of memory is still
Hi,
I've set up cluster with:
3.11.2
30 nodes
RF=3,single dc, NetworkStrategy
Now i'm going to reduce rf to 2, but i've setup cluster with vnode=16 and
allocation algorithm(allocate_tokens_for_keyspace) for the main keyspace (which
i'm reducing its RF), so is the procedure still be 1.
Thanks,
I've done a lot of conf changes to fix the problem but nothing worked (last
one was disabling hints) and after a few days problem gone!!
The source of droppedCrossNode was changing every half an hour and it was not
always the new nodes
No difference between new nodes and old ones in
Hi,
I've extended a cluster by 10% and after that each hour, on some of the nodes
(which changes randomly each time), "dropped mutations cross node" appears on
logs (each time 1 or 2 drops and some times some thousands with cross node
latency from 3000ms to 9ms or 90seconds!) and insert
Another workaround that i used for UNREACHABLE nodes problem, is to restart the
whole cluster and it would be fixed, but i don't know if it cause any problem
or not
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On Fri, 18 Sep 2020 01:19:35 +0430 Paulo Motta
wrote
Oh, if you're adding
I used Cassandra Set (no experience with map ), and one thing for sure is that
with Cassandra collections you are limited to a few thousands entry per row
(less than 10K for better performance)
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On Fri, 18 Sep 2020 20:33:21 +0430 Attila Wind
by sending bigger sstables at sending side or by merging
sstables in memtable at receiving side)
(Just fixed a wrong word in my previous question)
On Wed, 05 Aug 2020 10:02:51 +0430 onmstester onmstester
<mailto:onmstes...@zoho.com.INVALID> wrote
OK. Thanks
I'm using STCS.
Anyway
LCS, change
sstable size from 160M to something higher), but there's no magic to join /
compact those data files on the sending side before sending.
On Mon, Aug 3, 2020 at 4:15 AM onmstester onmstester
<mailto:onmstes...@zoho.com.invalid> wrote:
IMHO (reading system.log) each streamed-i
configuration
in cassandra to force streamed-in to pass memtable-sstable cycle, to have
bigger sstables at first place?
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Forwarded message
From: onmstester onmstester
To: "user"
Date: Sun, 02 Aug 2020 08:35:30 +04
own risk).
On Jul 31, 2020, at 11:46 PM, onmstester onmstester
<mailto:onmstes...@zoho.com.invalid> wrote:
No Secondary index, No SASI, No materialized view
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On Sat, 01 Aug 2020 11:02:54 +0430 Jeff Jirsa <mailto:jji...@
No Secondary index, No SASI, No materialized view
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On Sat, 01 Aug 2020 11:02:54 +0430 Jeff Jirsa wrote
Are there secondary indices involved?
On Jul 31, 2020, at 10:51 PM, onmstester onmstester
<mailto:onmstes...@zoho.com.inva
Hi,
I'm going to join multiple new nodes to already existed and running cluster.
Each node should stream in >2TB of data, and it took a few days (with 500Mb
streaming) to almost get finished. But it stuck on streaming-in from one final
node, but i can not see any bottleneck on any side
in a way I
havent personally figured out yet (maybe if you had a very high replica count
per DC, then using forwarding and EACH_QUORUM may get fun, but you'd be better
off dropping the replica count than coming up with stuff like this).
On Tue, Jul 28, 2020 at 8:27 PM onmstester onmstester
Hi,
Logically, i do not need to use multiple DCs(cluster is not geographically
separated), but i wonder if splitting the cluster to two half (two separate dc)
would decrease overhead of node ack/communication and result in better (write)
performance?
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Hi,
I think that Cassandra alone is not suitable for your use case. You can use a
mix of Distributed/NoSQL (to storing single records of whatever makes your
input the big data) & Relational/Single Database (for transactional non-big
data part)
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Hi,
I'm using allocate_tokens_for_keyspace and num_tokens=32 and i wan't to extend
the size of some clusters.
I read in articles that for num_tokens=4, one should add more 25% of cluster
size for the cluster to become balanced again.
1. For example, with num_tokens=4 and already have 16
Yes, you should handle the routing logic at app level
I wish there was another level of sharding (above dc, rack) as cluster to
distribute data on multiple cluster! but i don't think there is any other
database that does such a thing for you.
Another problem with big cluster is for huge amount
I just changed these properties to increase flushed file size (decrease number
of compactions):
memtable_allocation_type from heap_buffers to offheap_objects
memtable_offheap_space_in_mb: from default (2048) to 8192
Using default value for other memtable/compaction/commitlog configurations .
out node 1 & 4, then ranges B & L would no longer
meet CL=quorum; but you can do that in the top diagram, since there are no
ranges shared between node 1 & 4.
Hope that helps.
- Max
On Feb 3, 2020, at 8:39 pm, onmstester onmstester
<mailto:onmstes...@zoho.com.INVALI
Sorry if its trivial, but i do not understand how num_tokens affects
availability, with RF=3, CLW,CLR=quorum, the cluster could tolerate to lost at
most one node and all of the tokens assigned to that node would be also
assigned to two other nodes no matter what num_tokens is, right?
Sent
rows, so i suppose that clustering key
restrictions been pushed down to storage engine.
Thanks Jeff
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On Mon, 13 Jan 2020 08:38:44 +0330 onmstester onmstester
<mailto:onmstes...@zoho.com.INVALID> wrote
Done.
https://issues.apache
Sent from my iPhone
On Jan 12, 2020, at 6:04 AM, onmstester onmstester
<mailto:onmstes...@zoho.com.invalid> wrote:
Using Apache Cassandra 3.11.2, defined a table like this:
create table my_table(
partition text,
clusterin
Using Apache Cassandra 3.11.2, defined a table like this:
create table my_table(
partition text,
clustering1 int,
clustering2 text,
data set,
primary key (partition, clustering1, clustering2))
and
Sweet spot for set and list items count (in datastax's documents, the max is
2billions)?
Write and read performance of Set vs List vs simple partition row?
Thanks in advance
Each cassandra node creates 6 seperate threads for incomming and outgoing
streams to other nodes in the cluster. So with big clusters for example
100 nodes, it would be more than 600 threads running in each Cassandra app,
that would cause performance problems, so better have multiple small
Thank you all!
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On Sat, 20 Jul 2019 16:13:29 +0430 Rahul Singh
wrote
Hey Cassandra community ,
Thanks for all the feedback in the past on my cassandra knowledge base project.
Without the feedback cycle it’s not really for the community.
r of
token per node and the number of racks.
Regards,
Anthony
On Sat, 4 May 2019 at 19:14, onmstester onmstester
<mailto:onmstes...@zoho.com.invalid> wrote:
I just read this article by tlp:
https://thelastpickle.com/blog/2019/02/21/set-up-a-cluster-with-even-token-dis
to specify tokens
anymore, you can just use allocate_tokens_for_keyspace.
On Sat, May 4, 2019 at 2:14 AM onmstester onmstester
<mailto:onmstes...@zoho.com.invalid> wrote:
>
> I just read this article by tlp:
> https://thelastpickle.com/blog/2019/02/21/set-up-a-cluster-
I just read this article by tlp:
https://thelastpickle.com/blog/2019/02/21/set-up-a-cluster-with-even-token-distribution.html
Noticed that:
>>We will need to set the tokens for the seed nodes in each rack manually. This
>>is to prevent each node from randomly calculating its own token
Found the answer: it would be deleted after gc_grace
Just decreased the gc_grace, run compact, and the "marked_deleted" partitions
purged from sstable
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On Wed, 24 Apr 2019 14:15:33 +0430 onmstester onmstester
wrote
Just delete
Just deleted multiple partitions from one of my tables, dumping sstables shows
that the data successfully deleted, but the 'marked_deleted' rows for each of
partitions still exists on sstable and allocates storage.
Is there any way to get rid of these delete statements storage overhead
I do not use table default ttl (every row has its own TTL) and also no update
occurs to the rows.
I suppose that (because of immutable nature of everything in cassandra)
cassandra would keep only the insertion timestamp + the original ttl and
computes ttl of a row using these two and current
Running:
SSTablemetadata /THE_KEYSPACE_DIR/mc-1421-big-Data.db
result was:
Estimated droppable tombstones: 1.2
Having STCS and data disk usage of 80% (do not have enough free space for
normal compaction), Is it OK to just: 1. stop Cassandra, 2. delete mc-1421* and
then 3. start Cassandra?
The only option to stream decommissioned node's data is to run "nodetool
decommission" on the decommissioned node (while cassandra is running on the
node)
removenode only streams data from node's relpica, so any data that only stored
on decommissioned node would be lost.
You should monitoring
You should first try with removenode which triggers cluster streaming, if
removenode failes or stuck, Assassinate is the last solution.
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On Mon, 11 Mar 2019 14:27:13 +0330 Ahmed Eljami
wrote
Hello,
Can someone explain me the
Hi,
I should have run cleanup after adding a few nodes to my cluster, about 2
months ago, the ttl is 6 month, What happens now? Should i worry about any
catastrophics?
Should i run the cleanup now?
Thanks in advance
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You could only have one keyspace for the value of allocate_tokens_for_keyspace
to specify a keyspace from which the algorithm can find the replication to
optimize for. So as far as your keyspaces are using similar replication
strategies and replication factor you should not worry about this.
Hi, I'm seeing a lot of logs like this in all of my nodes (every 5 minutes):
WARN [PERIODIC-COMMIT-LOG-SYNCER] 2018-05-23 08:59:19,075 NoSpamLogger.java:94
- Out of 50 commit log syncs over the past 300s with average duration of
300.00ms, 30 have exceeded the configured commit interval by an
Delete the file: C:\Program
Files\DataStax-DDC\data\commitlog\CommitLog-6-1542650688953.log and restart
Cassandra. Its possible that you lose a bit of data that just existed on this
log (not matter if you have replica or could re-insert data again) Sent using
Zoho Mail Forwarded
wrong with
decommissioning while someones writing to Cluster? Using Apache Cassandra
3.11.2 Sent using Zoho Mail Forwarded message From :
onmstester onmstester To :
"user" Date : Wed, 05 Dec 2018 09:00:34 +0330
Subject : Fwd: Re: How to gracefully de
ts you
can also disablebinary, disablethrift and disablehandoff to stop serving client
requests. -- SIMON FONTANA OSCARSSON
Software Developer
Ericsson
Ölandsgatan 1
37133 Karlskrona, Sweden
simon.fontana.oscars...@ericsson.com
www.ericsson.com On tis, 2018-12-04 at 14:21 +0330, onmstester onmstester
One node suddenly uses 100% CPU, i suspect hardware problems and do not have
time to trace that, so decided to just remove the node from the cluster, but
although the node state changed to UL, but no sign of Leaving: the node is
still compacting and flushing memtables, writing mutations and CPU
Also set rpc_address to your remote ip address and restart cassandra. Run
nodetool status on Cassandra node to be sure that its running properly. The
port you should look for and connect to is 9042, 7199 is the JMX port Sent
using Zoho Mail Forwarded message From :
Thank you all, Actually, "the documents" i mentioned in my question, was a talk
in youtube seen long time ago and could not find it. Also noticing that a lot
of companies like Netflix built hundreds of Clusters each having 10s of nodes
and saying that its much stable, i just concluded that big
Hi, One of my applications requires to create a cluster with more than 100
nodes, 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). Is it a
good idea to use multiple clusters for a single application,
unlogged batch meaningfully outperforms parallel execution of individual
statements, especially at scale, and creates lower memory pressure on both the
clients and cluster. They do outperform parallel individuals, but in cost of
higher pressure on coordinators which leads to more blocked
I am facing. Any comments. Thanks and Regards, Goutham On
Fri, Nov 2, 2018 at 1:08 AM onmstester onmstester
wrote: -- Regards Goutham Reddy IMHO, the best option with two datacenters is
to config replication strategy to stream data from dc with wrong num_token to
correct one, and then a repair
IMHO, the best option with two datacenters is to config replication strategy to
stream data from dc with wrong num_token to correct one, and then a repair on
each node would move your data to the other dc Sent using Zoho Mail
Forwarded message From : Goutham reddy
To
Read this: https://docs.datastax.com/en/cql/3.3/cql/cql_reference/batch_r.html
Please use batch (any type of batch) for statements that only concerns a single
partition, otherwise it cause a lot of performance degradation on your cluster
and after a while throughput would be alot less than
Any cron or other scheduler running on those nodes? no Lots of Java processes
running simultaneously? no, just Apache Cassandra Heavy repair continuously
running? none Lots of pending compactions? none, the cpu goes to 100% on first
seconds of insert (write load) so no memtable flushed yet, Is
What takes the most CPU? System or User? most of it is used by
org.apache.cassandra.util.coalesceInternal and SepWorker.run Did you try
removing a problematic node and installing a brand new one (instead of
re-adding)? I did not install a new node, but did remove the problematic node
and CPU
or if the
load your application is producing exceeds what your cluster can handle (needs
more nodes). Chris On Oct 20, 2018, at 5:18 AM, onmstester onmstester
wrote: 3 nodes in my cluster have 100% cpu usage
and most of it is used by org.apache.cassandra.util.coalesceInternal and
SepWorker.run
Currently, before launching the production cluster, i run 'iperf -s' on half of
the cluster and then run 'iperf -c $nextIP' on the other half using parallel
ssh, So simultaneously all cluster's nodes are connecting together (paired) and
then examining the result of iperfs, doing the math that
3 nodes in my cluster have 100% cpu usage and most of it is used by
org.apache.cassandra.util.coalesceInternal and SepWorker.run? The most active
threads are the messaging-service-incomming. Other nodes are normal, having 30
nodes, using Rack Aware strategy. with 10 rack each having 3 nodes.
Sent using Zoho Mail On Mon, 01 Oct 2018 18:36:03 +0330 Alain RODRIGUEZ
wrote Hello again :), I thought a little bit more
about this question, and I was actually wondering if something like this would
work: Imagine 3 node cluster, and create them using: For the 3 nodes:
`num_token:
ed message On Mon, Oct 1,
2018 at 12:18 PM onmstester onmstester wrote: What if
instead of running that python and having one node with non-vnode config, i
remove the first seed node and re-add it after cluster was fully up ? so the
token ranges of first seed node would also b
Thanks Alain, What if instead of running that python and having one node with
non-vnode config, i remove the first seed node and re-add it after cluster was
fully up ? so the token ranges of first seed node would also be assigned by
Allocation Alg Forwarded message
Since i failed to find a document on how to configure and use the Token
Allocation Algorithm (to replace the random Algorithm), just wanted to be sure
about the procedure i've done: 1. Using Apache Cassandra 3.11.2 2. Configured
one of seed nodes with num_tokens=8 and started it. 3. Using Cqlsh
Hi, My app writes 100K rows per seconds to a C* cluster (including 30 nodes
and using version 3.11.2). There are 20 threads, each writing 10K (list size in
below code is 100K) statements using async API: for (Statement s:list) {
ResultSetFuture future = session.executeAsync(s);
Another question, Is there a management tool to do nodetool cleanup one by one
(wait until finish of cleaning up one node then start clean up for the next
node in cluster)? On Sat, 22 Sep 2018 16:02:17 +0330 onmstester onmstester
wrote I have a cunning plan (Baldrick wise) to solve
problem? On Mon, 10 Sep
2018 17:12:48 +0430 onmstester onmstester wrote
Thanks Alain, First here it is more detail about my cluster: 10 racks + 3 nodes
on each rack nodetool status: shows 27 nodes UN and 3 nodes all related to
single rack as DN version 3.11.2 Option 1: (Change schema
If you have problems with balance you can add new nodes using the algorithm and
it'll balance out the cluster. You probably want to stick to 256 tokens though.
I read somewhere (don't remember the ref) that all nodes of the cluster should
use the same algorithm, so if my cluster suffer from
the old DC and hopefully end up with a balanced
cluster. Definitely test beforehand though because that was just me
theorising... I'll note though that if your existing clusters don't have any
major issues it's probably not worth the migration at this point. On Sat, 22
Sep 2018 at 17:40, onmstester
I noticed that currently there is a discussion in ML with subject: changing
default token behavior for 4.0. Any recommendation to guys like me who already
have multiple clusters ( > 30 nodes in each cluster) with random partitioner
and num_tokens = 256? I should also add some nodes to existing
By adding new nodes to cluster, should i rebuild SASI indexes on all nodes ?
Thanks, I am still thinking about it, but before going deeper, is this still an
issue for you at the moment? Yes, It is.
*heers, --- Alain Rodriguez -
@arodream - al...@thelastpickle.com France / Spain The Last Pickle - Apache
Cassandra Consulting http://www.thelastpickle.com Le lun. 10 sept. 2018 à
09:09, onmstester onmstester a écrit : Any idea? Sent
using Zoho Mail On Sun, 09 Sep 2018 11:23:17
Any idea? Sent using Zoho Mail On Sun, 09 Sep 2018 11:23:17 +0430
onmstester onmstester wrote Hi, Cluster Spec: 30
nodes RF = 2 NetworkTopologyStrategy GossipingPropertyFileSnitch + rack aware
Suddenly i lost all disks of cassandar-data on one of my racks, after replacing
the disks
Hi, Cluster Spec: 30 nodes RF = 2 NetworkTopologyStrategy
GossipingPropertyFileSnitch + rack aware Suddenly i lost all disks of
cassandar-data on one of my racks, after replacing the disks, tried to replace
the nodes with same ip using this:
Thanks Jeff, You mean that with RF=2, num_tokens = 256 and having less than 256
nodes i should not worry about data distribution? Sent using Zoho Mail On
Sat, 08 Sep 2018 21:30:28 +0430 Jeff Jirsa wrote
Virtual nodes accomplish two primary goals 1) it makes it easier to gradually
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