mirror of
https://github.com/grafana/grafana.git
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cleanup(influxdb_08): removed influxdb 0.8 data source as an built in official data source, moved it to an external plugin repo, https://github.com/grafana/datasource-plugin-influxdb-08, closes #3523
This commit is contained in:
Torkel Ödegaard
parent
27a0ef7ee8
commit
f83d5f4280
@ -1,4 +1,10 @@
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# 2.6.1
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# 3.0.0 (unrelased master branch)
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### Breaking changes
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**InfluxDB 0.8.x** The data source for the old version of influxdb (0.8.x) is no longer included in default builds. Can easily be installed via plugin system, closes #3523
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# 2.6.1 (unrelased, 2.6.x branch)
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### New Features
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* **Elasticsearch**: Support for derivative unit option, closes [#3512](https://github.com/grafana/grafana/issues/3512)
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@ -15,6 +15,10 @@ data = data
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# Directory where grafana can store logs
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#
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logs = data/log
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#
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# Directory where grafana will automatically scan and look for plugins
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#
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plugins = data/plugins
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#################################### Server ####################################
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[server]
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@ -15,7 +15,12 @@
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# Directory where grafana can store logs
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#
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;logs = /var/log/grafana
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#
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# Directory where grafana will automatically scan and look for plugins
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#
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;plugins = /var/lib/grafana/plugins
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#
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#################################### Server ####################################
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[server]
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# Protocol (http or https)
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@ -15,3 +15,5 @@ CONF_DIR=/etc/grafana
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CONF_FILE=/etc/grafana/grafana.ini
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RESTART_ON_UPGRADE=false
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PLUGINS_DIR=/var/lib/grafana/plugins
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@ -30,12 +30,14 @@ GRAFANA_HOME=/usr/share/grafana
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CONF_DIR=/etc/grafana
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WORK_DIR=$GRAFANA_HOME
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DATA_DIR=/var/lib/grafana
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PLUGINS_DIR=/var/lib/grafana/plugins
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LOG_DIR=/var/log/grafana
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CONF_FILE=$CONF_DIR/grafana.ini
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MAX_OPEN_FILES=10000
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PID_FILE=/var/run/$NAME.pid
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DAEMON=/usr/sbin/$NAME
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umask 0027
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if [ `id -u` -ne 0 ]; then
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@ -59,7 +61,7 @@ if [ -f "$DEFAULT" ]; then
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. "$DEFAULT"
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fi
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DAEMON_OPTS="--pidfile=${PID_FILE} --config=${CONF_FILE} cfg:default.paths.data=${DATA_DIR} cfg:default.paths.logs=${LOG_DIR}"
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DAEMON_OPTS="--pidfile=${PID_FILE} --config=${CONF_FILE} cfg:default.paths.data=${DATA_DIR} cfg:default.paths.logs=${LOG_DIR} cfg:default.paths.plugins=${PLUGINS_DIR}"
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case "$1" in
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start)
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@ -14,7 +14,8 @@ ExecStart=/usr/sbin/grafana-server \
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--config=${CONF_FILE} \
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--pidfile=${PID_FILE} \
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cfg:default.paths.logs=${LOG_DIR} \
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cfg:default.paths.data=${DATA_DIR}
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cfg:default.paths.data=${DATA_DIR} \
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cfg:default.paths.plugins=${PLUGINS_DIR}
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LimitNOFILE=10000
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TimeoutStopSec=20
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UMask=0027
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@ -29,6 +29,7 @@ GRAFANA_HOME=/usr/share/grafana
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CONF_DIR=/etc/grafana
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WORK_DIR=$GRAFANA_HOME
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DATA_DIR=/var/lib/grafana
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PLUGINS_DIR=/var/lib/grafana/plugins
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LOG_DIR=/var/log/grafana
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CONF_FILE=$CONF_DIR/grafana.ini
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MAX_OPEN_FILES=10000
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@ -63,7 +64,7 @@ fi
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# overwrite settings from default file
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[ -e /etc/sysconfig/$NAME ] && . /etc/sysconfig/$NAME
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DAEMON_OPTS="--pidfile=${PID_FILE} --config=${CONF_FILE} cfg:default.paths.data=${DATA_DIR} cfg:default.paths.logs=${LOG_DIR}"
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DAEMON_OPTS="--pidfile=${PID_FILE} --config=${CONF_FILE} cfg:default.paths.data=${DATA_DIR} cfg:default.paths.logs=${LOG_DIR} cfg:default.paths.plugins=${PLUGINS_DIR}"
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function isRunning() {
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status -p $PID_FILE $NAME > /dev/null 2>&1
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@ -15,3 +15,5 @@ CONF_DIR=/etc/grafana
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CONF_FILE=/etc/grafana/grafana.ini
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RESTART_ON_UPGRADE=false
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PLUGINS_DIR=/var/lib/grafana/plugins
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@ -14,7 +14,8 @@ ExecStart=/usr/sbin/grafana-server \
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--config=${CONF_FILE} \
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--pidfile=${PID_FILE} \
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cfg:default.paths.logs=${LOG_DIR} \
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cfg:default.paths.data=${DATA_DIR}
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cfg:default.paths.data=${DATA_DIR} \
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cfg:default.paths.plugins=${PLUGINS_DIR}
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LimitNOFILE=10000
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TimeoutStopSec=20
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@ -29,7 +29,9 @@ func Init() error {
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Panels = make(map[string]PanelPlugin)
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scan(path.Join(setting.StaticRootPath, "app/plugins"))
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scan(path.Join(setting.PluginsPath))
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checkExternalPluginPaths()
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return nil
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}
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@ -48,9 +48,10 @@ var (
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BuildStamp int64
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// Paths
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LogsPath string
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HomePath string
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DataPath string
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LogsPath string
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HomePath string
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DataPath string
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PluginsPath string
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// Log settings.
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LogModes []string
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@ -393,6 +394,7 @@ func NewConfigContext(args *CommandLineArgs) error {
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loadConfiguration(args)
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Env = Cfg.Section("").Key("app_mode").MustString("development")
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PluginsPath = Cfg.Section("paths").Key("plugins").String()
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server := Cfg.Section("server")
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AppUrl, AppSubUrl = parseAppUrlAndSubUrl(server)
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@ -626,6 +628,7 @@ func LogConfigurationInfo() {
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text.WriteString(fmt.Sprintf(" home: %s\n", HomePath))
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text.WriteString(fmt.Sprintf(" data: %s\n", DataPath))
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text.WriteString(fmt.Sprintf(" logs: %s\n", LogsPath))
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text.WriteString(fmt.Sprintf(" plugins: %s\n", PluginsPath))
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log.Info(text.String())
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}
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@ -1,288 +0,0 @@
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define([
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'angular',
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'lodash',
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'app/core/utils/datemath',
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'./influx_series',
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'./query_builder',
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'./directives',
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'./query_ctrl',
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'./func_editor',
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],
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function (angular, _, dateMath, InfluxSeries, InfluxQueryBuilder) {
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'use strict';
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var module = angular.module('grafana.services');
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module.factory('InfluxDatasource_08', function($q, backendSrv, templateSrv) {
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function InfluxDatasource(datasource) {
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this.urls = _.map(datasource.url.split(','), function(url) {
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return url.trim();
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});
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this.username = datasource.username;
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this.password = datasource.password;
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this.name = datasource.name;
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this.basicAuth = datasource.basicAuth;
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}
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InfluxDatasource.prototype.query = function(options) {
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var timeFilter = getTimeFilter(options);
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var promises = _.map(options.targets, function(target) {
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if (target.hide || !((target.series && target.column) || target.query)) {
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return [];
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}
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// build query
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var queryBuilder = new InfluxQueryBuilder(target);
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var query = queryBuilder.build();
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// replace grafana variables
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query = query.replace('$timeFilter', timeFilter);
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query = query.replace(/\$interval/g, (target.interval || options.interval));
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// replace templated variables
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query = templateSrv.replace(query, options.scopedVars);
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var alias = target.alias ? templateSrv.replace(target.alias, options.scopedVars) : '';
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var handleResponse = _.partial(handleInfluxQueryResponse, alias, queryBuilder.groupByField);
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return this._seriesQuery(query).then(handleResponse);
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}, this);
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return $q.all(promises).then(function(results) {
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return { data: _.flatten(results) };
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});
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};
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InfluxDatasource.prototype.annotationQuery = function(options) {
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var timeFilter = getTimeFilter({rangeRaw: options.rangeRaw});
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var query = options.annotation.query.replace('$timeFilter', timeFilter);
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query = templateSrv.replace(query);
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return this._seriesQuery(query).then(function(results) {
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return new InfluxSeries({seriesList: results, annotation: options.annotation}).getAnnotations();
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});
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};
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InfluxDatasource.prototype.listColumns = function(seriesName) {
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seriesName = templateSrv.replace(seriesName);
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if(!seriesName.match('^/.*/') && !seriesName.match(/^merge\(.*\)/)) {
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seriesName = '"' + seriesName+ '"';
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}
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return this._seriesQuery('select * from ' + seriesName + ' limit 1').then(function(data) {
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if (!data) {
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return [];
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}
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return data[0].columns.map(function(item) {
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return /^\w+$/.test(item) ? item : ('"' + item + '"');
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});
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});
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};
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InfluxDatasource.prototype.listSeries = function(query) {
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// wrap in regex
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if (query && query.length > 0 && query[0] !== '/') {
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query = '/' + query + '/';
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}
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return this._seriesQuery('list series ' + query).then(function(data) {
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if (!data || data.length === 0) {
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return [];
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}
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return _.map(data[0].points, function(point) {
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return point[1];
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});
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});
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};
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InfluxDatasource.prototype.testDatasource = function() {
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return this.metricFindQuery('list series').then(function () {
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return { status: "success", message: "Data source is working", title: "Success" };
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});
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};
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InfluxDatasource.prototype.metricFindQuery = function (query) {
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var interpolated;
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try {
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interpolated = templateSrv.replace(query);
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}
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catch (err) {
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return $q.reject(err);
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}
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return this._seriesQuery(interpolated)
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.then(function (results) {
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if (!results || results.length === 0) { return []; }
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return _.map(results[0].points, function (metric) {
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return {
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text: metric[1],
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expandable: false
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};
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});
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});
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};
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function retry(deferred, callback, delay) {
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return callback().then(undefined, function(reason) {
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if (reason.status !== 0 || reason.status >= 300) {
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reason.message = 'InfluxDB Error: <br/>' + reason.data;
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deferred.reject(reason);
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}
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else {
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setTimeout(function() {
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return retry(deferred, callback, Math.min(delay * 2, 30000));
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}, delay);
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}
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});
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}
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InfluxDatasource.prototype._seriesQuery = function(query) {
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return this._influxRequest('GET', '/series', {
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q: query,
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});
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};
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InfluxDatasource.prototype._influxRequest = function(method, url, data) {
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var _this = this;
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var deferred = $q.defer();
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retry(deferred, function() {
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var currentUrl = _this.urls.shift();
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_this.urls.push(currentUrl);
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var params = {
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u: _this.username,
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p: _this.password,
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};
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if (method === 'GET') {
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_.extend(params, data);
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data = null;
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}
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var options = {
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method: method,
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url: currentUrl + url,
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params: params,
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data: data,
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inspect: { type: 'influxdb' },
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};
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options.headers = options.headers || {};
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if (_this.basicAuth) {
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options.headers.Authorization = 'Basic ' + _this.basicAuth;
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}
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return backendSrv.datasourceRequest(options).then(function(response) {
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deferred.resolve(response.data);
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});
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}, 10);
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return deferred.promise;
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};
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InfluxDatasource.prototype._getDashboardInternal = function(id) {
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var queryString = 'select dashboard from "grafana.dashboard_' + btoa(id) + '"';
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return this._seriesQuery(queryString).then(function(results) {
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if (!results || !results.length) {
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return null;
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}
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var dashCol = _.indexOf(results[0].columns, 'dashboard');
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var dashJson = results[0].points[0][dashCol];
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return angular.fromJson(dashJson);
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}, function() {
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return null;
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});
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};
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InfluxDatasource.prototype.getDashboard = function(id) {
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return this._getDashboardInternal(id).then(function(dashboard) {
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if (dashboard !== null) {
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return dashboard;
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}
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throw "Dashboard not found";
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}, function(err) {
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throw "Could not load dashboard, " + err.data;
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});
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};
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InfluxDatasource.prototype.searchDashboards = function() {
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var influxQuery = 'select * from /grafana.dashboard_.*/ ';
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return this._seriesQuery(influxQuery).then(function(results) {
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var hits = { dashboards: [], tags: [], tagsOnly: false };
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if (!results || !results.length) {
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return hits;
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}
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for (var i = 0; i < results.length; i++) {
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var dashCol = _.indexOf(results[i].columns, 'title');
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var idCol = _.indexOf(results[i].columns, 'id');
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var hit = {
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id: results[i].points[0][dashCol],
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title: results[i].points[0][dashCol],
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};
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if (idCol !== -1) {
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hit.id = results[i].points[0][idCol];
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}
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hits.dashboards.push(hit);
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}
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return hits;
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});
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};
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function handleInfluxQueryResponse(alias, groupByField, seriesList) {
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var influxSeries = new InfluxSeries({
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seriesList: seriesList,
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alias: alias,
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groupByField: groupByField
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});
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return influxSeries.getTimeSeries();
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}
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function getTimeFilter(options) {
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var from = getInfluxTime(options.rangeRaw.from, false);
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var until = getInfluxTime(options.rangeRaw.to, true);
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var fromIsAbsolute = from[from.length-1] === 's';
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if (until === 'now()' && !fromIsAbsolute) {
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return 'time > ' + from;
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}
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return 'time > ' + from + ' and time < ' + until;
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}
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function getInfluxTime(date, roundUp) {
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if (_.isString(date)) {
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if (date === 'now') {
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return 'now()';
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}
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var parts = /^now-(\d+)([d|h|m|s])$/.exec(date);
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if (parts) {
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var amount = parseInt(parts[1]);
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var unit = parts[2];
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return 'now()-' + amount + unit;
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}
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date = dateMath.parse(date, roundUp);
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}
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return (date.valueOf() / 1000).toFixed(0) + 's';
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}
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||||
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return InfluxDatasource;
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});
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});
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@ -1,21 +0,0 @@
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define([
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'angular',
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],
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function (angular) {
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'use strict';
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|
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var module = angular.module('grafana.directives');
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module.directive('metricQueryEditorInfluxdb08', function() {
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return {controller: 'InfluxQueryCtrl_08', templateUrl: 'app/plugins/datasource/influxdb_08/partials/query.editor.html'};
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});
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module.directive('metricQueryOptionsInfluxdb08', function() {
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return {templateUrl: 'app/plugins/datasource/influxdb_08/partials/query.options.html'};
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});
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module.directive('annotationsQueryEditorInfluxdb08', function() {
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return {templateUrl: 'app/plugins/datasource/influxdb_08/partials/annotations.editor.html'};
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});
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});
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@ -1,136 +0,0 @@
|
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define([
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'angular',
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'lodash',
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'jquery',
|
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],
|
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function (angular, _, $) {
|
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'use strict';
|
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|
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angular
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.module('grafana.directives')
|
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.directive('influxdbFuncEditor08', function($compile) {
|
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|
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var funcSpanTemplate = '<a gf-dropdown="functionMenu" class="dropdown-toggle" ' +
|
||||
'data-toggle="dropdown">{{target.function}}</a><span>(</span>';
|
||||
|
||||
var paramTemplate = '<input type="text" style="display:none"' +
|
||||
' class="input-mini tight-form-func-param"></input>';
|
||||
|
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return {
|
||||
restrict: 'A',
|
||||
link: function postLink($scope, elem) {
|
||||
var $funcLink = $(funcSpanTemplate);
|
||||
|
||||
$scope.functionMenu = _.map($scope.functions, function(func) {
|
||||
return {
|
||||
text: func,
|
||||
click: "changeFunction('" + func + "');"
|
||||
};
|
||||
});
|
||||
|
||||
function clickFuncParam() {
|
||||
/*jshint validthis:true */
|
||||
|
||||
var $link = $(this);
|
||||
var $input = $link.next();
|
||||
|
||||
$input.val($scope.target.column);
|
||||
$input.css('width', ($link.width() + 16) + 'px');
|
||||
|
||||
$link.hide();
|
||||
$input.show();
|
||||
$input.focus();
|
||||
$input.select();
|
||||
|
||||
var typeahead = $input.data('typeahead');
|
||||
if (typeahead) {
|
||||
$input.val('');
|
||||
typeahead.lookup();
|
||||
}
|
||||
}
|
||||
|
||||
function inputBlur() {
|
||||
/*jshint validthis:true */
|
||||
|
||||
var $input = $(this);
|
||||
var $link = $input.prev();
|
||||
|
||||
if ($input.val() !== '') {
|
||||
$link.text($input.val());
|
||||
|
||||
$scope.target.column = $input.val();
|
||||
$scope.$apply($scope.get_data);
|
||||
}
|
||||
|
||||
$input.hide();
|
||||
$link.show();
|
||||
}
|
||||
|
||||
function inputKeyPress(e) {
|
||||
/*jshint validthis:true */
|
||||
|
||||
if(e.which === 13) {
|
||||
inputBlur.call(this);
|
||||
}
|
||||
}
|
||||
|
||||
function inputKeyDown() {
|
||||
/*jshint validthis:true */
|
||||
this.style.width = (3 + this.value.length) * 8 + 'px';
|
||||
}
|
||||
|
||||
function addTypeahead($input) {
|
||||
$input.attr('data-provide', 'typeahead');
|
||||
|
||||
$input.typeahead({
|
||||
source: function () {
|
||||
return $scope.listColumns.apply(null, arguments);
|
||||
},
|
||||
minLength: 0,
|
||||
items: 20,
|
||||
updater: function (value) {
|
||||
setTimeout(function() {
|
||||
inputBlur.call($input[0]);
|
||||
}, 0);
|
||||
return value;
|
||||
}
|
||||
});
|
||||
|
||||
var typeahead = $input.data('typeahead');
|
||||
typeahead.lookup = function () {
|
||||
var items;
|
||||
this.query = this.$element.val() || '';
|
||||
items = this.source(this.query, $.proxy(this.process, this));
|
||||
return items ? this.process(items) : items;
|
||||
};
|
||||
}
|
||||
|
||||
function addElementsAndCompile() {
|
||||
$funcLink.appendTo(elem);
|
||||
|
||||
var $paramLink = $('<a ng-click="" class="graphite-func-param-link">' + $scope.target.column + '</a>');
|
||||
var $input = $(paramTemplate);
|
||||
|
||||
$paramLink.appendTo(elem);
|
||||
$input.appendTo(elem);
|
||||
|
||||
$input.blur(inputBlur);
|
||||
$input.keyup(inputKeyDown);
|
||||
$input.keypress(inputKeyPress);
|
||||
$paramLink.click(clickFuncParam);
|
||||
|
||||
addTypeahead($input);
|
||||
|
||||
$('<span>)</span>').appendTo(elem);
|
||||
|
||||
$compile(elem.contents())($scope);
|
||||
}
|
||||
|
||||
addElementsAndCompile();
|
||||
|
||||
}
|
||||
};
|
||||
|
||||
});
|
||||
|
||||
});
|
||||
@ -1,129 +0,0 @@
|
||||
define([
|
||||
'lodash',
|
||||
],
|
||||
function (_) {
|
||||
'use strict';
|
||||
|
||||
function InfluxSeries(options) {
|
||||
this.seriesList = options.seriesList;
|
||||
this.alias = options.alias;
|
||||
this.groupByField = options.groupByField;
|
||||
this.annotation = options.annotation;
|
||||
}
|
||||
|
||||
var p = InfluxSeries.prototype;
|
||||
|
||||
p.getTimeSeries = function() {
|
||||
var output = [];
|
||||
var self = this;
|
||||
var i;
|
||||
|
||||
_.each(self.seriesList, function(series) {
|
||||
var seriesName;
|
||||
var timeCol = series.columns.indexOf('time');
|
||||
var valueCol = 1;
|
||||
var groupByCol = -1;
|
||||
|
||||
if (self.groupByField) {
|
||||
groupByCol = series.columns.indexOf(self.groupByField);
|
||||
}
|
||||
|
||||
// find value column
|
||||
_.each(series.columns, function(column, index) {
|
||||
if (column !== 'time' && column !== 'sequence_number' && column !== self.groupByField) {
|
||||
valueCol = index;
|
||||
}
|
||||
});
|
||||
|
||||
var groups = {};
|
||||
|
||||
if (self.groupByField) {
|
||||
groups = _.groupBy(series.points, function (point) {
|
||||
return point[groupByCol];
|
||||
});
|
||||
}
|
||||
else {
|
||||
groups[series.columns[valueCol]] = series.points;
|
||||
}
|
||||
|
||||
_.each(groups, function(groupPoints, key) {
|
||||
var datapoints = [];
|
||||
for (i = 0; i < groupPoints.length; i++) {
|
||||
var metricValue = isNaN(groupPoints[i][valueCol]) ? null : groupPoints[i][valueCol];
|
||||
datapoints[i] = [metricValue, groupPoints[i][timeCol]];
|
||||
}
|
||||
|
||||
seriesName = series.name + '.' + key;
|
||||
|
||||
if (self.alias) {
|
||||
seriesName = self.createNameForSeries(series.name, key);
|
||||
}
|
||||
|
||||
output.push({ target: seriesName, datapoints: datapoints });
|
||||
});
|
||||
});
|
||||
|
||||
return output;
|
||||
};
|
||||
|
||||
p.getAnnotations = function () {
|
||||
var list = [];
|
||||
var self = this;
|
||||
|
||||
_.each(this.seriesList, function (series) {
|
||||
var titleCol = null;
|
||||
var timeCol = null;
|
||||
var tagsCol = null;
|
||||
var textCol = null;
|
||||
|
||||
_.each(series.columns, function(column, index) {
|
||||
if (column === 'time') { timeCol = index; return; }
|
||||
if (column === 'sequence_number') { return; }
|
||||
if (!titleCol) { titleCol = index; }
|
||||
if (column === self.annotation.titleColumn) { titleCol = index; return; }
|
||||
if (column === self.annotation.tagsColumn) { tagsCol = index; return; }
|
||||
if (column === self.annotation.textColumn) { textCol = index; return; }
|
||||
});
|
||||
|
||||
_.each(series.points, function (point) {
|
||||
var data = {
|
||||
annotation: self.annotation,
|
||||
time: point[timeCol],
|
||||
title: point[titleCol],
|
||||
tags: point[tagsCol],
|
||||
text: point[textCol]
|
||||
};
|
||||
|
||||
if (tagsCol) {
|
||||
data.tags = point[tagsCol];
|
||||
}
|
||||
|
||||
list.push(data);
|
||||
});
|
||||
});
|
||||
|
||||
return list;
|
||||
};
|
||||
|
||||
p.createNameForSeries = function(seriesName, groupByColValue) {
|
||||
var regex = /\$(\w+)/g;
|
||||
var segments = seriesName.split('.');
|
||||
|
||||
return this.alias.replace(regex, function(match, group) {
|
||||
if (group === 's') {
|
||||
return seriesName;
|
||||
}
|
||||
else if (group === 'g') {
|
||||
return groupByColValue;
|
||||
}
|
||||
var index = parseInt(group);
|
||||
if (_.isNumber(index) && index < segments.length) {
|
||||
return segments[index];
|
||||
}
|
||||
return match;
|
||||
});
|
||||
|
||||
};
|
||||
|
||||
return InfluxSeries;
|
||||
});
|
||||
@ -1,29 +0,0 @@
|
||||
<div class="editor-row">
|
||||
<div class="section">
|
||||
<h5>InfluxDB Query <tip>Example: select text from events where $timeFilter</tip></h5>
|
||||
<div class="editor-option">
|
||||
<input type="text" class="span10" ng-model='currentAnnotation.query' placeholder="select text from events where $timeFilter"></input>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="editor-row">
|
||||
<div class="section">
|
||||
<h5>Column mappings <tip>If your influxdb query returns more than one column you need to specify the column names below. An annotation event is composed of a title, tags, and an additional text field.</tip></h5>
|
||||
<div class="editor-option">
|
||||
<label class="small">Title</label>
|
||||
<input type="text" class="input-small" ng-model='currentAnnotation.titleColumn' placeholder=""></input>
|
||||
</div>
|
||||
|
||||
<div class="editor-option">
|
||||
<label class="small">Tags</label>
|
||||
<input type="text" class="input-small" ng-model='currentAnnotation.tagsColumn' placeholder=""></input>
|
||||
</div>
|
||||
|
||||
<div class="editor-option">
|
||||
<label class="small">Text</label>
|
||||
<input type="text" class="input-small" ng-model='currentAnnotation.textColumn' placeholder=""></input>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@ -1,36 +0,0 @@
|
||||
<div ng-include="httpConfigPartialSrc"></div>
|
||||
|
||||
<br>
|
||||
|
||||
<h5>InfluxDB Details</h5>
|
||||
|
||||
<div class="tight-form">
|
||||
<ul class="tight-form-list">
|
||||
<li class="tight-form-item" style="width: 80px">
|
||||
Database
|
||||
</li>
|
||||
<li>
|
||||
<input type="text" class="tight-form-input input-large" ng-model='current.database' placeholder="" required></input>
|
||||
</li>
|
||||
</ul>
|
||||
<div class="clearfix"></div>
|
||||
</div>
|
||||
<div class="tight-form last">
|
||||
<ul class="tight-form-list">
|
||||
<li class="tight-form-item" style="width: 80px">
|
||||
User
|
||||
</li>
|
||||
<li>
|
||||
<input type="text" class="tight-form-input input-large" ng-model='current.user' placeholder="" required></input>
|
||||
</li>
|
||||
<li class="tight-form-item">
|
||||
Password
|
||||
</li>
|
||||
<li>
|
||||
<input type="password" class="tight-form-input input-large" ng-model='current.password' placeholder="" required></input>
|
||||
</li>
|
||||
</ul>
|
||||
<div class="clearfix"></div>
|
||||
</div>
|
||||
|
||||
|
||||
@ -1,159 +0,0 @@
|
||||
<div class="tight-form">
|
||||
<ul class="tight-form-list pull-right">
|
||||
<li class="tight-form-item small" ng-show="target.datasource">
|
||||
<em>{{target.datasource}}</em>
|
||||
</li>
|
||||
<li class="tight-form-item">
|
||||
<div class="dropdown">
|
||||
<a class="pointer dropdown-toggle" data-toggle="dropdown" tabindex="1">
|
||||
<i class="fa fa-bars"></i>
|
||||
</a>
|
||||
<ul class="dropdown-menu pull-right" role="menu">
|
||||
<li role="menuitem"><a tabindex="1" ng-click="toggleQueryMode()">Switch editor mode</a></li>
|
||||
<li role="menuitem"><a tabindex="1" ng-click="duplicateDataQuery(target)">Duplicate</a></li>
|
||||
<li role="menuitem"><a tabindex="1" ng-click="moveDataQuery($index, $index-1)">Move up </a></li>
|
||||
<li role="menuitem"><a tabindex="1" ng-click="moveDataQuery($index, $index+1)">Move down</a></li>
|
||||
</ul>
|
||||
</div>
|
||||
</li>
|
||||
<li class="tight-form-item last">
|
||||
<a class="pointer" tabindex="1" ng-click="removeDataQuery(target)">
|
||||
<i class="fa fa-remove"></i>
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
<ul class="tight-form-list">
|
||||
<li class="tight-form-item" style="min-width: 15px; text-align: center">
|
||||
{{target.refId}}
|
||||
</li>
|
||||
<li>
|
||||
<a class="tight-form-item" ng-click="target.hide = !target.hide; get_data();" role="menuitem">
|
||||
<i class="fa fa-eye"></i>
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
<!-- Raw Query mode -->
|
||||
<input type="text" class="tight-form-clear-input" style="width: 80%" ng-model="target.query"
|
||||
placeholder="select ..." ng-show="target.rawQuery"
|
||||
give-focus="target.rawQuery"
|
||||
spellcheck='false'
|
||||
data-min-length=0 data-items=100
|
||||
ng-model-onblur
|
||||
ng-blur="get_data()"></input>
|
||||
|
||||
<!-- Query editor mode -->
|
||||
<ul class="tight-form-list" role="menu" ng-hide="target.rawQuery">
|
||||
<li class="tight-form-item">
|
||||
series
|
||||
</li>
|
||||
<li>
|
||||
<input type="text"
|
||||
class="tight-form-input span8"
|
||||
ng-model="target.series"
|
||||
spellcheck='false'
|
||||
bs-typeahead="listSeries"
|
||||
match-all="true"
|
||||
min-length="3"
|
||||
placeholder="series name"
|
||||
data-min-length=0 data-items=100
|
||||
ng-blur="seriesBlur()">
|
||||
</li>
|
||||
|
||||
<li class="tight-form-item">
|
||||
alias
|
||||
</li>
|
||||
|
||||
<li>
|
||||
<input type="text" class="input-medium tight-form-input" ng-model="target.alias"
|
||||
spellcheck='false' placeholder="alias" ng-blur="get_data()">
|
||||
</li>
|
||||
|
||||
</ul>
|
||||
|
||||
<div class="clearfix"></div>
|
||||
</div>
|
||||
|
||||
<div class="tight-form">
|
||||
<!-- Raw Query mode -->
|
||||
<ul class="tight-form-list" ng-show="target.rawQuery">
|
||||
<li class="tight-form-item tight-form-align">
|
||||
alias
|
||||
</li>
|
||||
<li>
|
||||
<input type="text"
|
||||
class="input-medium tight-form-input"
|
||||
ng-model="target.alias"
|
||||
spellcheck='false'
|
||||
placeholder="alias"
|
||||
ng-blur="get_data()">
|
||||
</li>
|
||||
<li class="tight-form-item">
|
||||
group by time
|
||||
</li>
|
||||
<li>
|
||||
<input type="text" class="input-mini tight-form-input" ng-model="target.interval"
|
||||
spellcheck='false' placeholder="{{interval}}" data-placement="right"
|
||||
bs-tooltip="'Leave blank for auto handling based on time range and panel width'"
|
||||
ng-model-onblur ng-change="get_data()" >
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
<!-- Query editor mode -->
|
||||
<ul class="tight-form-list" role="menu" ng-hide="target.rawQuery">
|
||||
<li class="tight-form-item tight-form-align">
|
||||
select
|
||||
</li>
|
||||
<li class="dropdown">
|
||||
<span influxdb-func-editor08 class="tight-form-item tight-form-func">
|
||||
</span>
|
||||
</li>
|
||||
|
||||
<li class="tight-form-item">
|
||||
where
|
||||
</li>
|
||||
<li>
|
||||
<input type="text" class="input-medium tight-form-input" ng-model="target.condition"
|
||||
bs-tooltip="'Add a where clause'" data-placement="right" spellcheck='false' placeholder="column ~= value" ng-blur="get_data()">
|
||||
</li>
|
||||
|
||||
<li class="tight-form-item">
|
||||
group by time
|
||||
</li>
|
||||
<li>
|
||||
<input type="text" class="input-mini tight-form-input" ng-model="target.interval"
|
||||
spellcheck='false' placeholder="{{interval}}" data-placement="right"
|
||||
bs-tooltip="'Leave blank for auto handling based on time range and panel width'"
|
||||
ng-model-onblur ng-change="get_data()" >
|
||||
</li>
|
||||
|
||||
<li class="tight-form-item">
|
||||
and
|
||||
</li>
|
||||
|
||||
<li>
|
||||
<input type="text" class="input-small tight-form-input" ng-model="target.groupby_field" bs-tooltip="'Add a group by column or leave blank'"
|
||||
placeholder="column" spellcheck="false" bs-typeahead="listColumns" data-min-length=0 ng-blur="get_data()">
|
||||
</li>
|
||||
|
||||
<li class="dropdown">
|
||||
<a class="tight-form-item pointer" data-toggle="dropdown" bs-tooltip="'Insert missing values, important when stacking'" data-placement="right">
|
||||
<span ng-show="target.fill">
|
||||
fill ({{target.fill}})
|
||||
</span>
|
||||
<span ng-show="!target.fill">
|
||||
no fill
|
||||
</span>
|
||||
</a>
|
||||
<ul class="dropdown-menu">
|
||||
<li><a ng-click="target.fill = ''">no fill</a></li>
|
||||
<li><a ng-click="target.fill = 'null'">fill (null)</a></li>
|
||||
<li><a ng-click="target.fill = '0'">fill (0)</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
</ul>
|
||||
<div class="clearfix"></div>
|
||||
</div>
|
||||
|
||||
|
||||
@ -1,85 +0,0 @@
|
||||
<section class="grafana-metric-options">
|
||||
<div class="tight-form">
|
||||
<ul class="tight-form-list">
|
||||
<li class="tight-form-item tight-form-item-icon">
|
||||
<i class="fa fa-wrench"></i>
|
||||
</li>
|
||||
<li class="tight-form-item">
|
||||
group by time
|
||||
</li>
|
||||
<li>
|
||||
<input type="text" class="input-medium tight-form-input" ng-model="panel.interval" ng-blur="get_data();"
|
||||
spellcheck='false' placeholder="example: >10s">
|
||||
</li>
|
||||
<li class="tight-form-item">
|
||||
<i class="fa fa-question-circle" bs-tooltip="'Set a low limit by having a greater sign: example: >60s'" data-placement="right"></i>
|
||||
</li>
|
||||
</ul>
|
||||
<div class="clearfix"></div>
|
||||
</div>
|
||||
|
||||
<div class="tight-form">
|
||||
<ul class="tight-form-list">
|
||||
<li class="tight-form-item tight-form-item-icon">
|
||||
<i class="fa fa-info-circle"></i>
|
||||
</li>
|
||||
<li class="tight-form-item">
|
||||
<a ng-click="toggleEditorHelp(1);" bs-tooltip="'click to show helpful info'" data-placement="bottom">
|
||||
alias patterns
|
||||
</a>
|
||||
</li>
|
||||
<li class="tight-form-item">
|
||||
<a ng-click="toggleEditorHelp(2)" bs-tooltip="'click to show helpful info'" data-placement="bottom">
|
||||
stacking & and fill
|
||||
</a>
|
||||
</li>
|
||||
<li class="tight-form-item">
|
||||
<a ng-click="toggleEditorHelp(3)" bs-tooltip="'click to show helpful info'" data-placement="bottom">
|
||||
group by time
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
<div class="clearfix"></div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<div class="editor-row">
|
||||
<div class="pull-left" style="margin-top: 30px;">
|
||||
|
||||
<div class="grafana-info-box span6" ng-if="editorHelpIndex === 1">
|
||||
<h5>Alias patterns</h5>
|
||||
<ul>
|
||||
<li>$s = series name</li>
|
||||
<li>$g = group by</li>
|
||||
<li>$[0-9] part of series name for series names seperated by dots.</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
<div class="grafana-info-box span6" ng-if="editorHelpIndex === 2">
|
||||
<h5>Stacking and fill</h5>
|
||||
<ul>
|
||||
<li>When stacking is enabled it important that points align</li>
|
||||
<li>If there are missing points for one series it can cause gaps or missing bars</li>
|
||||
<li>You must use fill(0), and select a group by time low limit</li>
|
||||
<li>Use the group by time option below your queries and specify for example >10s if your metrics are written every 10 seconds</li>
|
||||
<li>This will insert zeros for series that are missing measurements and will make stacking work properly</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
<div class="grafana-info-box span6" ng-if="editorHelpIndex === 3">
|
||||
<h5>Group by time</h5>
|
||||
<ul>
|
||||
<li>Group by time is important, otherwise the query could return many thousands of datapoints that will slow down Grafana</li>
|
||||
<li>Leave the group by time field empty for each query and it will be calculated based on time range and pixel width of the graph</li>
|
||||
<li>If you use fill(0) or fill(null) set a low limit for the auto group by time interval</li>
|
||||
<li>The low limit can only be set in the group by time option below your queries</li>
|
||||
<li>You set a low limit by adding a greater sign before the interval</li>
|
||||
<li>Example: >60s if you write metrics to InfluxDB every 60 seconds</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
|
||||
@ -1,17 +0,0 @@
|
||||
{
|
||||
"pluginType": "datasource",
|
||||
"name": "InfluxDB 0.8.x",
|
||||
|
||||
"type": "influxdb_08",
|
||||
"serviceName": "InfluxDatasource_08",
|
||||
|
||||
"module": "app/plugins/datasource/influxdb_08/datasource",
|
||||
|
||||
"partials": {
|
||||
"config": "app/plugins/datasource/influxdb_08/partials/config.html"
|
||||
},
|
||||
|
||||
"defaultMatchFormat": "regex values",
|
||||
"metrics": true,
|
||||
"annotations": true
|
||||
}
|
||||
@ -1,67 +0,0 @@
|
||||
define([
|
||||
],
|
||||
function () {
|
||||
'use strict';
|
||||
|
||||
function InfluxQueryBuilder(target) {
|
||||
this.target = target;
|
||||
}
|
||||
|
||||
var p = InfluxQueryBuilder.prototype;
|
||||
|
||||
p.build = function() {
|
||||
return this.target.rawQuery ? this._modifyRawQuery() : this._buildQuery();
|
||||
};
|
||||
|
||||
p._buildQuery = function() {
|
||||
var target = this.target;
|
||||
var query = 'select ';
|
||||
var seriesName = target.series;
|
||||
|
||||
if(!seriesName.match('^/.*/') && !seriesName.match(/^merge\(.*\)/)) {
|
||||
seriesName = '"' + seriesName+ '"';
|
||||
}
|
||||
|
||||
if (target.groupby_field) {
|
||||
query += target.groupby_field + ', ';
|
||||
}
|
||||
|
||||
query += target.function + '(' + target.column + ')';
|
||||
query += ' from ' + seriesName + ' where $timeFilter';
|
||||
|
||||
if (target.condition) {
|
||||
query += ' and ' + target.condition;
|
||||
}
|
||||
|
||||
query += ' group by time($interval)';
|
||||
|
||||
if (target.groupby_field) {
|
||||
query += ', ' + target.groupby_field;
|
||||
this.groupByField = target.groupby_field;
|
||||
}
|
||||
|
||||
if (target.fill) {
|
||||
query += ' fill(' + target.fill + ')';
|
||||
}
|
||||
|
||||
query += " order asc";
|
||||
target.query = query;
|
||||
|
||||
return query;
|
||||
};
|
||||
|
||||
p._modifyRawQuery = function () {
|
||||
var query = this.target.query.replace(";", "");
|
||||
|
||||
var queryElements = query.split(" ");
|
||||
var lowerCaseQueryElements = query.toLowerCase().split(" ");
|
||||
|
||||
if (lowerCaseQueryElements[1].indexOf(',') !== -1) {
|
||||
this.groupByField = lowerCaseQueryElements[1].replace(',', '');
|
||||
}
|
||||
|
||||
return queryElements.join(" ");
|
||||
};
|
||||
|
||||
return InfluxQueryBuilder;
|
||||
});
|
||||
@ -1,95 +0,0 @@
|
||||
define([
|
||||
'angular',
|
||||
],
|
||||
function (angular) {
|
||||
'use strict';
|
||||
|
||||
var module = angular.module('grafana.controllers');
|
||||
|
||||
var seriesList = null;
|
||||
|
||||
module.controller('InfluxQueryCtrl_08', function($scope, $timeout) {
|
||||
|
||||
$scope.init = function() {
|
||||
var target = $scope.target;
|
||||
|
||||
target.function = target.function || 'mean';
|
||||
target.column = target.column || 'value';
|
||||
|
||||
// backward compatible correction of schema
|
||||
if (target.condition_value) {
|
||||
target.condition = target.condition_key + ' ' + target.condition_op + ' ' + target.condition_value;
|
||||
delete target.condition_key;
|
||||
delete target.condition_op;
|
||||
delete target.condition_value;
|
||||
}
|
||||
|
||||
if (target.groupby_field_add === false) {
|
||||
target.groupby_field = '';
|
||||
delete target.groupby_field_add;
|
||||
}
|
||||
|
||||
$scope.functions = [
|
||||
'count', 'mean', 'sum', 'min',
|
||||
'max', 'mode', 'distinct', 'median',
|
||||
'derivative', 'stddev', 'first', 'last',
|
||||
'difference'
|
||||
];
|
||||
|
||||
$scope.operators = ['=', '=~', '>', '<', '!~', '<>'];
|
||||
$scope.oldSeries = target.series;
|
||||
$scope.$on('typeahead-updated', function() {
|
||||
$timeout($scope.get_data);
|
||||
});
|
||||
};
|
||||
|
||||
$scope.toggleQueryMode = function () {
|
||||
$scope.target.rawQuery = !$scope.target.rawQuery;
|
||||
};
|
||||
|
||||
// Cannot use typeahead and ng-change on blur at the same time
|
||||
$scope.seriesBlur = function() {
|
||||
if ($scope.oldSeries !== $scope.target.series) {
|
||||
$scope.oldSeries = $scope.target.series;
|
||||
$scope.columnList = null;
|
||||
$scope.get_data();
|
||||
}
|
||||
};
|
||||
|
||||
$scope.changeFunction = function(func) {
|
||||
$scope.target.function = func;
|
||||
$scope.get_data();
|
||||
};
|
||||
|
||||
// called outside of digest
|
||||
$scope.listColumns = function(query, callback) {
|
||||
if (!$scope.columnList) {
|
||||
$scope.$apply(function() {
|
||||
$scope.datasource.listColumns($scope.target.series).then(function(columns) {
|
||||
$scope.columnList = columns;
|
||||
callback(columns);
|
||||
});
|
||||
});
|
||||
}
|
||||
else {
|
||||
return $scope.columnList;
|
||||
}
|
||||
};
|
||||
|
||||
$scope.listSeries = function(query, callback) {
|
||||
if (query !== '') {
|
||||
seriesList = [];
|
||||
$scope.datasource.listSeries(query).then(function(series) {
|
||||
seriesList = series;
|
||||
callback(seriesList);
|
||||
});
|
||||
}
|
||||
else {
|
||||
return seriesList;
|
||||
}
|
||||
};
|
||||
|
||||
$scope.init();
|
||||
|
||||
});
|
||||
});
|
||||
@ -1,98 +0,0 @@
|
||||
///<amd-dependency path="app/plugins/datasource/influxdb_08/datasource"/>
|
||||
///<amd-dependency path="app/core/services/backend_srv"/>
|
||||
///<amd-dependency path="app/core/services/alert_srv"/>
|
||||
///<amd-dependency path="test/specs/helpers" name="helpers" />
|
||||
|
||||
import {describe, beforeEach, it, sinon, expect, angularMocks} from 'test/lib/common';
|
||||
|
||||
declare var helpers: any;
|
||||
|
||||
describe('InfluxDatasource', function() {
|
||||
var ctx = new helpers.ServiceTestContext();
|
||||
|
||||
beforeEach(angularMocks.module('grafana.core'));
|
||||
beforeEach(angularMocks.module('grafana.services'));
|
||||
beforeEach(ctx.providePhase(['templateSrv']));
|
||||
beforeEach(ctx.createService('InfluxDatasource_08'));
|
||||
beforeEach(function() {
|
||||
ctx.ds = new ctx.service({ url: '', user: 'test', password: 'mupp' });
|
||||
});
|
||||
|
||||
describe('When querying influxdb with one target using query editor target spec', function() {
|
||||
var results;
|
||||
var urlExpected = "/series?p=mupp&q=select+mean(value)+from+%22test%22+where+time+%3E+now()-1h+group+by+time(1s)+order+asc";
|
||||
var query = {
|
||||
rangeRaw: { from: 'now-1h', to: 'now' },
|
||||
targets: [{ series: 'test', column: 'value', function: 'mean' }],
|
||||
interval: '1s'
|
||||
};
|
||||
|
||||
var response = [{
|
||||
columns: ["time", "sequence_nr", "value"],
|
||||
name: 'test',
|
||||
points: [[10, 1, 1]],
|
||||
}];
|
||||
|
||||
beforeEach(function() {
|
||||
ctx.$httpBackend.expect('GET', urlExpected).respond(response);
|
||||
ctx.ds.query(query).then(function(data) { results = data; });
|
||||
ctx.$httpBackend.flush();
|
||||
});
|
||||
|
||||
it('should generate the correct query', function() {
|
||||
ctx.$httpBackend.verifyNoOutstandingExpectation();
|
||||
});
|
||||
|
||||
it('should return series list', function() {
|
||||
expect(results.data.length).to.be(1);
|
||||
expect(results.data[0].target).to.be('test.value');
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
describe('When querying influxdb with one raw query', function() {
|
||||
var results;
|
||||
var urlExpected = "/series?p=mupp&q=select+value+from+series+where+time+%3E+now()-1h";
|
||||
var query = {
|
||||
rangeRaw: { from: 'now-1h', to: 'now' },
|
||||
targets: [{ query: "select value from series where $timeFilter", rawQuery: true }]
|
||||
};
|
||||
|
||||
var response = [];
|
||||
|
||||
beforeEach(function() {
|
||||
ctx.$httpBackend.expect('GET', urlExpected).respond(response);
|
||||
ctx.ds.query(query).then(function(data) { results = data; });
|
||||
ctx.$httpBackend.flush();
|
||||
});
|
||||
|
||||
it('should generate the correct query', function() {
|
||||
ctx.$httpBackend.verifyNoOutstandingExpectation();
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
describe('When issuing annotation query', function() {
|
||||
var results;
|
||||
var urlExpected = "/series?p=mupp&q=select+title+from+events.backend_01+where+time+%3E+now()-1h";
|
||||
|
||||
var range = { from: 'now-1h', to: 'now' };
|
||||
var annotation = { query: 'select title from events.$server where $timeFilter' };
|
||||
var response = [];
|
||||
|
||||
beforeEach(function() {
|
||||
ctx.templateSrv.replace = function(str) {
|
||||
return str.replace('$server', 'backend_01');
|
||||
};
|
||||
ctx.$httpBackend.expect('GET', urlExpected).respond(response);
|
||||
ctx.ds.annotationQuery({annotation: annotation, rangeRaw: range}).then(function(data) { results = data; });
|
||||
ctx.$httpBackend.flush();
|
||||
});
|
||||
|
||||
it('should generate the correct query', function() {
|
||||
ctx.$httpBackend.verifyNoOutstandingExpectation();
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
});
|
||||
@ -1,220 +0,0 @@
|
||||
///<amd-dependency path="app/plugins/datasource/influxdb_08/influx_series" name="InfluxSeries"/>
|
||||
|
||||
import {describe, beforeEach, it, sinon, expect} from 'test/lib/common';
|
||||
|
||||
declare var InfluxSeries: any;
|
||||
|
||||
describe('when generating timeseries from influxdb response', function() {
|
||||
|
||||
describe('given two series', function() {
|
||||
var series = new InfluxSeries({
|
||||
seriesList: [
|
||||
{
|
||||
columns: ['time', 'mean', 'sequence_number'],
|
||||
name: 'prod.server1.cpu',
|
||||
points: [[1402596000, 10, 1], [1402596001, 12, 2]]
|
||||
},
|
||||
{
|
||||
columns: ['time', 'mean', 'sequence_number'],
|
||||
name: 'prod.server2.cpu',
|
||||
points: [[1402596000, 15, 1], [1402596001, 16, 2]]
|
||||
}
|
||||
]
|
||||
});
|
||||
|
||||
var result = series.getTimeSeries();
|
||||
|
||||
it('should generate two time series', function() {
|
||||
expect(result.length).to.be(2);
|
||||
expect(result[0].target).to.be('prod.server1.cpu.mean');
|
||||
expect(result[0].datapoints[0][0]).to.be(10);
|
||||
expect(result[0].datapoints[0][1]).to.be(1402596000);
|
||||
expect(result[0].datapoints[1][0]).to.be(12);
|
||||
expect(result[0].datapoints[1][1]).to.be(1402596001);
|
||||
|
||||
expect(result[1].target).to.be('prod.server2.cpu.mean');
|
||||
expect(result[1].datapoints[0][0]).to.be(15);
|
||||
expect(result[1].datapoints[0][1]).to.be(1402596000);
|
||||
expect(result[1].datapoints[1][0]).to.be(16);
|
||||
expect(result[1].datapoints[1][1]).to.be(1402596001);
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
describe('given an alias format', function() {
|
||||
var series = new InfluxSeries({
|
||||
seriesList: [
|
||||
{
|
||||
columns: ['time', 'mean', 'sequence_number'],
|
||||
name: 'prod.server1.cpu',
|
||||
points: [[1402596000, 10, 1], [1402596001, 12, 2]]
|
||||
}
|
||||
],
|
||||
alias: '$s.testing'
|
||||
});
|
||||
|
||||
var result = series.getTimeSeries();
|
||||
|
||||
it('should generate correct series name', function() {
|
||||
expect(result[0].target).to.be('prod.server1.cpu.testing');
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
describe('given an alias format with segment numbers', function() {
|
||||
var series = new InfluxSeries({
|
||||
seriesList: [
|
||||
{
|
||||
columns: ['time', 'mean', 'sequence_number'],
|
||||
name: 'prod.server1.cpu',
|
||||
points: [[1402596000, 10, 1], [1402596001, 12, 2]]
|
||||
}
|
||||
],
|
||||
alias: '$1.mean'
|
||||
});
|
||||
|
||||
var result = series.getTimeSeries();
|
||||
|
||||
it('should generate correct series name', function() {
|
||||
expect(result[0].target).to.be('server1.mean');
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
describe('given an alias format and many segments', function() {
|
||||
var series = new InfluxSeries({
|
||||
seriesList: [
|
||||
{
|
||||
columns: ['time', 'mean', 'sequence_number'],
|
||||
name: 'a0.a1.a2.a3.a4.a5.a6.a7.a8.a9.a10.a11.a12',
|
||||
points: [[1402596000, 10, 1], [1402596001, 12, 2]]
|
||||
}
|
||||
],
|
||||
alias: '$5.$11.mean'
|
||||
});
|
||||
|
||||
var result = series.getTimeSeries();
|
||||
|
||||
it('should generate correct series name', function() {
|
||||
expect(result[0].target).to.be('a5.a11.mean');
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
|
||||
describe('given an alias format with group by field', function() {
|
||||
var series = new InfluxSeries({
|
||||
seriesList: [
|
||||
{
|
||||
columns: ['time', 'mean', 'host'],
|
||||
name: 'prod.cpu',
|
||||
points: [[1402596000, 10, 'A']]
|
||||
}
|
||||
],
|
||||
groupByField: 'host',
|
||||
alias: '$g.$1'
|
||||
});
|
||||
|
||||
var result = series.getTimeSeries();
|
||||
|
||||
it('should generate correct series name', function() {
|
||||
expect(result[0].target).to.be('A.cpu');
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
describe('given group by column', function() {
|
||||
var series = new InfluxSeries({
|
||||
seriesList: [
|
||||
{
|
||||
columns: ['time', 'mean', 'host'],
|
||||
name: 'prod.cpu',
|
||||
points: [
|
||||
[1402596000, 10, 'A'],
|
||||
[1402596001, 11, 'A'],
|
||||
[1402596000, 5, 'B'],
|
||||
[1402596001, 6, 'B'],
|
||||
]
|
||||
}
|
||||
],
|
||||
groupByField: 'host'
|
||||
});
|
||||
|
||||
var result = series.getTimeSeries();
|
||||
|
||||
it('should generate two time series', function() {
|
||||
expect(result.length).to.be(2);
|
||||
expect(result[0].target).to.be('prod.cpu.A');
|
||||
expect(result[0].datapoints[0][0]).to.be(10);
|
||||
expect(result[0].datapoints[0][1]).to.be(1402596000);
|
||||
expect(result[0].datapoints[1][0]).to.be(11);
|
||||
expect(result[0].datapoints[1][1]).to.be(1402596001);
|
||||
|
||||
expect(result[1].target).to.be('prod.cpu.B');
|
||||
expect(result[1].datapoints[0][0]).to.be(5);
|
||||
expect(result[1].datapoints[0][1]).to.be(1402596000);
|
||||
expect(result[1].datapoints[1][0]).to.be(6);
|
||||
expect(result[1].datapoints[1][1]).to.be(1402596001);
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
describe("when creating annotations from influxdb response", function() {
|
||||
describe('given column mapping for all columns', function() {
|
||||
var series = new InfluxSeries({
|
||||
seriesList: [
|
||||
{
|
||||
columns: ['time', 'text', 'sequence_number', 'title', 'tags'],
|
||||
name: 'events1',
|
||||
points: [[1402596000000, 'some text', 1, 'Hello', 'B'], [1402596001000, 'asd', 2, 'Hello2', 'B']]
|
||||
}
|
||||
],
|
||||
annotation: {
|
||||
query: 'select',
|
||||
titleColumn: 'title',
|
||||
tagsColumn: 'tags',
|
||||
textColumn: 'text',
|
||||
}
|
||||
});
|
||||
|
||||
var result = series.getAnnotations();
|
||||
|
||||
it(' should generate 2 annnotations ', function() {
|
||||
expect(result.length).to.be(2);
|
||||
expect(result[0].annotation.query).to.be('select');
|
||||
expect(result[0].title).to.be('Hello');
|
||||
expect(result[0].time).to.be(1402596000000);
|
||||
expect(result[0].tags).to.be('B');
|
||||
expect(result[0].text).to.be('some text');
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
describe('given no column mapping', function() {
|
||||
var series = new InfluxSeries({
|
||||
seriesList: [
|
||||
{
|
||||
columns: ['time', 'text', 'sequence_number'],
|
||||
name: 'events1',
|
||||
points: [[1402596000000, 'some text', 1]]
|
||||
}
|
||||
],
|
||||
annotation: { query: 'select' }
|
||||
});
|
||||
|
||||
var result = series.getAnnotations();
|
||||
|
||||
it('should generate 1 annnotation', function() {
|
||||
expect(result.length).to.be(1);
|
||||
expect(result[0].title).to.be('some text');
|
||||
expect(result[0].time).to.be(1402596000000);
|
||||
expect(result[0].tags).to.be(undefined);
|
||||
expect(result[0].text).to.be(undefined);
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
@ -1,78 +0,0 @@
|
||||
///<amd-dependency path="app/plugins/datasource/influxdb_08/query_builder" name="InfluxQueryBuilder"/>
|
||||
|
||||
import {describe, beforeEach, it, sinon, expect} from 'test/lib/common';
|
||||
|
||||
declare var InfluxQueryBuilder: any;
|
||||
|
||||
describe('InfluxQueryBuilder', function() {
|
||||
|
||||
describe('series with conditon and group by', function() {
|
||||
var builder = new InfluxQueryBuilder({
|
||||
series: 'google.test',
|
||||
column: 'value',
|
||||
function: 'mean',
|
||||
condition: "code=1",
|
||||
groupby_field: 'code'
|
||||
});
|
||||
|
||||
var query = builder.build();
|
||||
|
||||
it('should generate correct query', function() {
|
||||
expect(query).to.be('select code, mean(value) from "google.test" where $timeFilter and code=1 ' +
|
||||
'group by time($interval), code order asc');
|
||||
});
|
||||
|
||||
it('should expose groupByFiled', function() {
|
||||
expect(builder.groupByField).to.be('code');
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
describe('series with fill and minimum group by time', function() {
|
||||
var builder = new InfluxQueryBuilder({
|
||||
series: 'google.test',
|
||||
column: 'value',
|
||||
function: 'mean',
|
||||
fill: '0',
|
||||
});
|
||||
|
||||
var query = builder.build();
|
||||
|
||||
it('should generate correct query', function() {
|
||||
expect(query).to.be('select mean(value) from "google.test" where $timeFilter ' +
|
||||
'group by time($interval) fill(0) order asc');
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
describe('merge function detection', function() {
|
||||
it('should not quote wrap regex merged series', function() {
|
||||
var builder = new InfluxQueryBuilder({
|
||||
series: 'merge(/^google.test/)',
|
||||
column: 'value',
|
||||
function: 'mean'
|
||||
});
|
||||
|
||||
var query = builder.build();
|
||||
|
||||
expect(query).to.be('select mean(value) from merge(/^google.test/) where $timeFilter ' +
|
||||
'group by time($interval) order asc');
|
||||
});
|
||||
|
||||
it('should quote wrap series names that start with "merge"', function() {
|
||||
var builder = new InfluxQueryBuilder({
|
||||
series: 'merge.google.test',
|
||||
column: 'value',
|
||||
function: 'mean'
|
||||
});
|
||||
|
||||
var query = builder.build();
|
||||
|
||||
expect(query).to.be('select mean(value) from "merge.google.test" where $timeFilter ' +
|
||||
'group by time($interval) order asc');
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
Loading…
Reference in New Issue
Block a user