collectd | system statistics collection daemon | Monitoring library

You can do it with MAX(), MIN() and FIRST_VALUE() window functions:

You still have to install the stream module.

Google Cloud Monitoring Agent is installed in Dataproc cluster VMs, but disabled by default.

Adding --properties dataproc:dataproc.monitoring.stackdriver.enable=true when creating the cluster will enable it. The agent collects guest OS metrics including memory and disk usage, so you can view them in Cloud Metrics. See the property in this doc.

BTW, the reason why CPU usage is collected by default and doesn't depend on the agent is that, it is collected by GCE from the VM host. But for memory and local disk usage, VM host doesn't have knowledge about them, they have to be collected from inside the guest OS, hence it depends on the agent. When you enable the agent, there will be two CPU usage metrics with different types, one (compute) is from the VM host perspective, the other (agent) is from the guest OS perspective.

After you perform a query with $wpdb you can access the $wpdb->insert_id to get the last inserted id. You can find more details on the documentation page of wpdb

If you need more ids because u have more $wpdb->insert all you need to do is store $wpdb->insert_id after each insert, like:

The fftw recipe is set up to create a few different packages (RPM) like libfftw, libfftwl, libfftwf, fftw-wisdom, fftwl-wisdom, fftwf-wisdom, and fftw-wisdom-to-conf. You probably want to add one or more of those. It seems there is no actual fftw package.

It is important to remember that IMAGE_INSTALL and RDEPEND lists items from the package namespace, while DEPENDS lists items from the recipe namespace.

If you are unsure about which package you want to install you can inspect the packages-split folder for fftw in tmp/work to see which files are included in which package.

It looks to me like you're not correctly calling your set state hook. It's defined (per your comment) as setLotsResult. However, in your code, it appears you are invoking SetLotsResult(newData).

Note the discrepancy in capitalization. They should match.

Index time tokens(generated from indexed docs) should match the search time tokens(generated from search terms) and in your case its not happening thats the cause of result not coming for your search query.

Please share your mapping so that I can pinpoint the exact issue and suggest a solution.

Prometheus divides one metric by another only if all the labels with their values for both metrics are identical. In this case metrics on the left side of / have label {stat='misses'}, while metrics on the right side have different value for stat label: {stat='hits'}. Prometheus provides ignoring and on operations, which may be applied to any binary operator (i.e. /, +, -, etc.). See the corresponding docs for details.

So in you case you must tell Prometheus to ignore stat label when performing calculations:

The troubleshooting documents [1] could be helpful to determine what points need to be transformed, as well as to ensure your transformations behave as expected.

[1] https://cloud.google.com/monitoring/agent/custom-metrics-agent#troubleshooting