Hello All, We are using InfluxDB v1.8.3 (git: 1.8 563e6c3 ) as our time-series database in our startup. I create a github issue influxd keeps high memory usage · Issue #21965 · influxdata/influxdb · GitHub , We don’t have any problem for writing data to the database. What we faced is after several q…

Hello @Ruke_Chen , Could this be related to your issue? [image] High memory usage on TSI mode Store We are running a stress test with importing certain amount of history records from scratch using InfluxDB v1.8.3 OSS. The goal of the test is to discover the needed paramete…

Hi @Anaisdg I had already checked out this topic, and added this configuration GODEBUG=madvdontneed=1 in /etc/default/influxdb, restarted influxd, and did my test on 2021/08/03. The result is the same. Memory usage is remaining high after querying. Thanks

[image] Ruke_Chen: 1.8.3 (git: 1.8 563e6c3 ) as our time-series database in our startup. I create a github issue influxd keeps high memory usage · Issue #21965 · influxdata/influxdb · GitHub , We don’t have any problem for writing data to the database. What we faced is after several queries to the…

Hi @wbaker , Yes. I am running influxd in alpine docker container. ( influxdata-docker/influxdb/1.8/alpine at 0d341f18067c4652dfa8df7dcb24d69bf707363d · influxdata/influxdata-docker · GitHub ). Within this docker file, we build our own docker image which contains InfluxDB 1.8.3. The difference is we…

Hi @Anaisdg and @wbaker Andy good news? Thanks

@Ruke_Chen - we’re working pretty hard on performance improvements and memory usage is on the radar. I don’t have any other news right now but we definitely haven’t forgotten about it!

Hi @wbaker I use the following command to launch influxd env GODEBUG=madvdontneed=1 /usr/bin/influxd The memory usage looks much better. The memory usage of influxd would increase while querying, but after a while the memory usage is decrease. Thanks

Memory usage is remaining high after a finished query

InfluxDB 1

Anaisdg August 3, 2021, 3:49pm 2

Hello @Ruke_Chen,
Could this be related to your issue?

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Memory usage is remaining high after a finished query

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