ClickHouse datasource for Grafana 4.6+
ClickHouse datasource plugin provides a support for ClickHouse as a backend database.
Install from grafana.net
Copy files to your Grafana plugin directory. Restart Grafana, check datasources list at http://your.grafana.instance/datasources/new, choose ClickHouse option.
- Access to CH via HTTP
- Query setup
- Raw SQL editor
- Query formatting
- Macros support
- Additional functions
- Table view
- SingleStat view
Access to CH via HTTP
Page configuration is standard
There is a small feature - ClickHouse treats HTTP Basic Authentication credentials as a database user and will try to run queries using its name.
Using of CHProxy will bring additional features:
- Easily setup
HTTPSaccess to ClickHouse as shown here to provide secure access.
- Limit concurrency and time execution for requests from
Grafanaas shown here to prevent
- Protection against request bursts for dashboards with numerous graphs.
CHProxyallows to queue requests and execute them sequentially. To learn more - read about params
max_queue_timeat CHProxy page.
- Response caching for the most frequent queries as shown here.
ClickHousefrom excessive refreshes and will be optimal option for popular dashboards.
Hint - if you need to cache requests like
last 24hwhere timestamp changes constantly then try to use
Query setup interface:
FROM contains two options: database and table. Table values depends on selected database.
Second row contains selectors for time filtering:
- Column:Date (EventDate) - is mandatory for MergeTree tables
- Column:DateTime (DateTime) or Column:TimeStamp (UInt32).
Plugin will try to detect date columns automatically
Column:DateTime or Column:TimeStamp are required for time-based macros and functions, because all analytics is based on these values
Go to Query is just a toggler to Raw SQL Editor
Raw SQL Editor
Raw Editor allows custom SQL queries to be written:
Raw Editor allows to type queries, get info about functions and macroses, format queries as Clickhouse do. Under the Editor you can find a raw query (all macros and functions have already been replaced) which will be sent directly to ClickHouse.
Plugin supports the following marcos:
- $table - replaced with selected table name from Query Builder
- $timeCol - replaced with Date:Col value from Query Builder
- $dateTimeCol - replaced with Column:DateTime or Column:TimeStamp value from Query Builder
- $from - replaced with timestamp/1000 value of selected "Time Range:From"
- $to - replaced with timestamp/1000 value of selected "Time Range:To"
- $interval - replaced with selected "Group by time interval" value (as a number of seconds)
- $timeFilter - replaced with currently selected "Time Range". Require Column:Date and Column:DateTime or Column:TimeStamp to be selected
- $timeSeries - replaced with special ClickHouse construction to convert results as time-series data. Use it as "SELECT $timeSeries...". Require Column:DateTime or Column:TimeStamp to be selected
A description of macros is available by typing their names in Raw Editor
Functions are just templates of SQL queries and you can check the final query at Raw SQL Editor mode. If some additional complexity is needed - just copy raw sql into Raw Editor and make according changes. Remember that macros are still available to use.
There are some limits in function use because of poor query analysis:
- Column:Date and Column:DateTime or Column:TimeStamp must be set in Query Builder
- Query must begins from function name
- Only one function can be used per query
Plugin supports the following functions:
$rate(cols...) - converts query results as "change rate per interval"
$rate(countIf(Type = 200) AS good, countIf(Type != 200) AS bad) FROM requests
Query will be transformed into:
SELECT t, good / runningDifference(t / 1000) AS goodRate, bad / runningDifference(t / 1000) AS badRate FROM ( SELECT (intDiv(toUInt32(EventTime), 60)) * 1000 AS t, countIf(Type = 200) AS good, countIf(Type != 200) AS bad FROM requests WHERE ((EventDate >= toDate(1482796747)) AND (EventDate <= toDate(1482853383))) AND ((EventTime >= toDateTime(1482796747)) AND (EventTime <= toDateTime(1482853383))) GROUP BY t ORDER BY t ASC )
$columns(key, value) - query values as array of [key, value], where key will be used as label
$columns(OSName, count(*) c) FROM requests
Query will be transformed into:
SELECT t, groupArray((OSName, c)) AS groupArr FROM ( SELECT (intDiv(toUInt32(EventTime), 60) * 60) * 1000 AS t, OSName, count(*) AS c FROM requests ANY INNER JOIN oses USING (OS) WHERE ((EventDate >= toDate(1482796627)) AND (EventDate <= toDate(1482853383))) AND ((EventTime >= toDateTime(1482796627)) AND (EventTime <= toDateTime(1482853383))) GROUP BY t, OSName ORDER BY t ASC, OSName ASC ) GROUP BY t ORDER BY t ASC
This will help to build the next graph:
$rateColumns(key, value) - is a combination of $columns and $rate
$rateColumns(OS, count(*) c) FROM requests
Query will be transformed into:
SELECT t, arrayMap(lambda(tuple(a), (a.1, a.2 / runningDifference(t / 1000))), groupArr) FROM ( SELECT t, groupArray((OS, c)) AS groupArr FROM ( SELECT (intDiv(toUInt32(EventTime), 60) * 60) * 1000 AS t, OS, count(*) AS c FROM requests WHERE ((EventDate >= toDate(1482796867)) AND (EventDate <= toDate(1482853383))) AND ((EventTime >= toDateTime(1482796867)) AND (EventTime <= toDateTime(1482853383))) GROUP BY t, OS ORDER BY t ASC, OS ASC ) GROUP BY t ORDER BY t ASC )
Working with panels
Remember that piechart plugin is not welcome for using in grafana - see https://grafana.com/blog/2015/12/04/friends-dont-let-friends-abuse-pie-charts
To create "Top 5" diagram we will need two queries: one for 'Top 5' rows and one for 'Other' row.
SELECT 1, /* fake timestamp value */ groupArray((UserName, Reqs)) FROM ( SELECT UserName, sum(Reqs) AS Reqs FROM requests GROUP BY UserName ORDER BY Reqs desc LIMIT 5 )
SELECT 1, /* fake timestamp value */ tuple(tuple('Other', sum(Reqs))) FROM ( SELECT UserName, sum(Reqs) AS Reqs FROM requests GROUP BY UserName ORDER BY Reqs desc LIMIT 5,10000000000000 /* select some ridiculous number after first 5 */ )
There are no any tricks in displaying time-series data. But to display some summary we will need to fake timestamp data:
SELECT rand() Time, /* fake timestamp value */ UserName, sum(Reqs) as Reqs FROM requests GROUP BY UserName ORDER BY Reqs
Better to hide
Time column at
Options tab while editing panel
Vertical histogram (https://grafana.com/plugins/graph)
To make vertical histogram from graph panel we will need to edit some settings:
- Display -> Draw Modes -> Bars
- Axes -> X-Axis -> Mode -> Series
And use next query:
$columns( Size, sum(Items) Items) FROM some_table
// It is also possible to use query without macros
Since we developed this plugin only for internal needs we don't have some of Grafana's features:
- Alerts (this feature requires additional changes at backend and can't be solved by js-plugin)
We know that code quality needs a tons of improvements and unit-tests. We will continue working on this. If you have any idea for an improvement or found a bug do not hesitate to open an issue or submit a pull request. We will appreciate any help from the community which will make working with such amazing products as ClickHouse and Grafana more convenient.
Plugin creation was inspired by great grafana-sqldb-datasource
MIT License, please see LICENSE for details.