Hello everyone,
We are currently using Cassandra 4.1.3 in a two-data-center cluster.
Recently, we observed cross-node latency spikes of 3-4 seconds in one of
our data centers. Below are the relevant logs from all three nodes in this
DC:
DEBUG [ScheduledTasks:1] 2024-10-20 02:46:43,164
MonitoringT
Even big cloud providers, like GCP and AWS, can have temporary and minor
network issues every now and then. If it was the result of an increase
in packet loss for a short duration, TCP retransmission may be of
interest. Have a look at /proc/net/netstat on Linux and you will find
the relevant me
Can you share DDL about table and the keyspace related ?
Any interesting informations about the queries and CL associated ?
Are you running read repair between DC ?
NTP (time server) is well configured for all nodes in the 2 datacenters ?
No antivirus activity on these nodes ?
Kind regards
S
Hi jiri,
Thank you for your feedback. I understand that using ALLOW FILTERING can
lead to longer processing times and impact our SLA.
However, I want to clarify that the queries in question are running only on
the partition key. The WHERE clause is utilizing only the partition column
for filterin
Can you be more explicit about the "latency metrics from Grafana" you
looked at? What percentile latencies were you looking at? Any
aggregation used? You can post the underlying queries used for the
dashboard if that's easier than explaining it. In general you should
only care about the max, no
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Is one tombstone scanned per query causing any issue? I mean real
issues, not the scanning of tombstone itself.
On 24/10/2024 04:56, Naman kaushik wrote:
Thanks everyone for your responses.
We have columns with |list| and |list| types, and after
using |sstabledump|, we found that the tombston
HI Naman
If you are querying on non partition key (which seems to be the case here),
then please know that it is an anti pattern for Cassandra. For small
dataset it may work but for large dataset it may take longer time or
generally timeout. Reason for this is Cassandra scans each record if
querie