Netdata is not working with MySQL, only MariaDB. This is because this command SHOW USER_STATISTICS in this file only works in MariaDB.

Problem code is https://github.com/netdata/netdata/blob/bfae683664b488df91940a81760459db2b18983c/collectors/python.d.plugin/mysql/mysql.chart.py

My install is http://walkercodetutorials.codes:19999

Proposal

**Use case. Why is

Right now we have the following, which doesn't validatie the needs of a given view. This allows for any colors to be provided, not necessarily the ones that are required. I'd recommend making these color validations accurate, where for Gauge it would require the min and max for instance. I'm assuming these are required for gauge, that may be in error. Would be nice to provide swagger that p

必须先将通过STable创建的表先删除，然后才能删除超级表。当级联表很多时就麻烦了，除非写代码来删除。

Feature Request

Proposal:
The tail input should allow processing text files that are not utf-8 encoded.

Current behavior:
Files with alternative encodings either cannot be parsed or are not encoded properly.

Desired behavior:
Be able to select a text encoding in the input file, if selected the data will be converted internally to utf-8.

[[inputs.tail]]
encoding = "UTF-16"

We are suddenly running out of background workers and were told on Slack to increase timescaledb.max_background_workers from 8 to 16.

The documentation makes it seem like the timescaledb-tune tool will automatically set the key to a correct value. However the tool [always sets the value to 8](https://github.com/timescale/timesca

run_begin和run_end必须要写全。03:00不能写成3:00。因为数据库中存的是字符串，比较的时候按照字符串的大小比较，3:00会小于02:00。页面应该要做校验或者提示。

参考 PR #184 的讨论

When you have multiple cache instances on a single server (to spread load), and try to browse the tree in graphite-web, each cache shows as a different top level part of the tree.

using graphite-web 0.9.15
i.e.

• cache1
  -- foo
  --- bar
• cache2
  -- foo
  --- bar
• cache3
  -- foo
  --- bar
• cache4
  -- foo
  --- bar

This gets very confusing for users, is hard to browse, and ma

we could use use that warning in the extract_features method to issue a warning there as well as some features assume uniformly sampled time series as well.

If we do that, we could move lines 538-549 into its own method raise_warning_on_non_uniform_index or so

_Originally posted by @MaxBenChrist in https://github.com/_render_node/MDE3OlB1bGxSZXF1ZXN0UmV2aWV3NDAwNTQ3ODMx/pull_request_review

I am using this code directly from the documentation. However is not not working, since I am getting:

ERROR: unrecognized configuration parameter "stream_targets"

CREATE FOREIGN TABLE stream (x integer, y integer) SERVER pipelinedb;
CREATE VIEW v0 AS SELECT COUNT(*) FROM stream;
CREATE VIEW v1 AS SELECT COUNT(*)

dbrp "_internal"."monitor"

stream
// Select the CPU measurement from the telegraf database.
|from()
.measurement('cpu_load_short')
// Triggers a critical alert when the CPU idle usage drops below 70%
|log()
|alert()
.crit(lambda: int("usage_idle") < 70)
// Write each alert to a file.
.log('/tmp/alert.log')
.message('{{ i

The figures in index.rst have URLs that don't work. I looked for them in the source tree, but I don't find them there.

提问题？
请把问题现象、相关日志、初步排查结果写清楚，即提供尽量多的线索，这样方便我们定位问题。

提建议？
请写明白建议原因，即为何有此建议。

提修复PR？
请说明为何做此修改，需要做好测试。

提Feature？
建议先将想法提出，不着急写代码，与社区同道沟通，大家觉得OK再做代码实现

---

另外，我们是在做开源软件，不是服务于您的企业，做您的乙方，您一分钱没付，就不要颐指气使了，认同我们这个社区，则参与进来，不认同，就不参与，谢谢理解

This is basically a shameless spin off of https://stackoverflow.com/questions/57330300/how-to-reproduce-hypertools-clusters-identified-from-hypertools-plot

I am trying to take the results of using hypertools.plot(...), but my attempts to replicate them by using other parts of hypertools are yielding surprisingly different results.

I would like some guidance on this, but I also feel like ha

Previously for counters aggregationMethod was sum, now it is max
graphite-project/carbon@e4953da

This is good for use case described in https://answers.launchpad.net/graphite/+question/286462 but wrong for statsd counters which are reset every (statsd) flush interval.

Maybe it would be more reasonable to add a comment to storage-agg

Description

Now that we have distributions like the Beta distribution, it only makes sense to create a Min-Max Scaler to map the input into the right input domain (support) for the distributions.

It would need to ne something like https://gluon-ts.mxnet.io/api/gluonts/gluonts.block.scaler.html?highlight=meanscaler#gluonts.block.scaler.MeanScaler the MeanScaler.

When we install GridDB Server with PRM, we must run operating commands by gsadm user.
On the other hand, we don't need to set GS_HOME, GS_LOG environment variables.

As a 3rd party developer there is a reasonable expectation of accuracy when reading the published api documentation and additional tools from same org keep valid URL’s and service references.

Expected:

• this repo and readme linked via Alpaca docs would be valid

Actual:

• GDAX still referenced working and dead links to this service (the coinbase pro rebrand > 1year ago)

Currently tslearn/tests/test_estimators.py redefine a custom check_estimator and then monkeypatch some of the tests in sklearn.utils.estimator_checks to work with time series data.

In the latest version scikit-learn introduced parametrize_with_checks which should allow to simplify this quite a bit https://scikit-learn.org/stable/developers/develop.html#rolling-your-own-estimator (e.g. a

According to the documentation, I should be able to do

tdb_cons_set_opt(cons, TDB_OPT_CONS_OUTPUT_FORMAT, TDB_OPT_CONS_OUTPUT_DIR);

but it tells me that TDB_OPT_CONS_OUTPUT_DIR does not exist.

I am able to do the same with

tdb_cons_set_opt(cons, TDB_OPT_CONS_OUTPUT_FORMAT, opt_val(TDB_OPT_CONS_OUTPUT_FORMAT_DIR));

instead,

I can't find any documentation about how to configure each one of the models (AD or TSMM)
Is there any detailed list of parameters and how to configure them?
Thanks!

https://github.com/spotify/ffwd-client-java/tree/master#opencensus-exporter

that way we can see bigtable metrics.

How do I create a graph like the one described in the README? #tagged=climbing #since=30d #plot=done. Maybe I am misunderstanding what it means.