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db-connector: initial postgres support

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This commit is contained in:
Alexander Zobnin
2017-10-17 19:30:18 +03:00
parent b4868aac9e
commit 3341b8f1f9
8 changed files with 252 additions and 45 deletions
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84
dist/test/datasource-zabbix/zabbixDBConnector.js vendored
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@@ -55,6 +55,8 @@ function ZabbixDBConnectorFactory(datasourceSrv, backendSrv) {
this.sqlDataSourceId = sqlDataSourceId;
this.limit = limit || DEFAULT_QUERY_LIMIT;
this.loadSQLDataSource(sqlDataSourceId);
}
/**
@@ -66,10 +68,13 @@ function ZabbixDBConnectorFactory(datasourceSrv, backendSrv) {
_createClass(ZabbixDBConnector, [{
key: 'loadSQLDataSource',
value: function loadSQLDataSource(datasourceId) {
var _this = this;
var ds = _lodash2.default.find(datasourceSrv.getAll(), { 'id': datasourceId });
if (ds) {
return datasourceSrv.loadDatasource(ds.name).then(function (ds) {
console.log('SQL data source loaded', ds);
_this.sqlDataSourceType = ds.meta.id;
return ds;
});
} else {
return Promise.reject('SQL Data Source with ID ' + datasourceId + ' not found');
@@ -83,13 +88,16 @@ function ZabbixDBConnectorFactory(datasourceSrv, backendSrv) {
}, {
key: 'testSQLDataSource',
value: function testSQLDataSource() {
var testQuery = 'SELECT itemid AS metric, clock AS time_sec, value_avg AS value FROM trends_uint LIMIT 1';
var testQuery = TEST_MYSQL_QUERY;
if (this.sqlDataSourceType === 'postgres') {
testQuery = TEST_POSTGRES_QUERY;
}
return this.invokeSQLQuery(testQuery);
}
}, {
key: 'getHistory',
value: function getHistory(items, timeFrom, timeTill, options) {
var _this = this;
var _this2 = this;
var intervalMs = options.intervalMs,
consolidateBy = options.consolidateBy;
@@ -105,11 +113,11 @@ function ZabbixDBConnectorFactory(datasourceSrv, backendSrv) {
var itemids = _lodash2.default.map(items, 'itemid').join(', ');
var table = HISTORY_TO_TABLE_MAP[value_type];
var time_expression = 'clock DIV ' + intervalSec + ' * ' + intervalSec;
var query = '\n SELECT itemid AS metric, ' + time_expression + ' AS time_sec, ' + aggFunction + '(value) AS value\n FROM ' + table + '\n WHERE itemid IN (' + itemids + ')\n AND clock > ' + timeFrom + ' AND clock < ' + timeTill + '\n GROUP BY ' + time_expression + ', metric\n ';
var dialect = _this2.sqlDataSourceType;
var query = buildSQLHistoryQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction, dialect);
query = compactSQLQuery(query);
return _this.invokeSQLQuery(query);
return _this2.invokeSQLQuery(query);
});
return Promise.all(promises).then(function (results) {
@@ -119,7 +127,7 @@ function ZabbixDBConnectorFactory(datasourceSrv, backendSrv) {
}, {
key: 'getTrends',
value: function getTrends(items, timeFrom, timeTill, options) {
var _this2 = this;
var _this3 = this;
var intervalMs = options.intervalMs,
consolidateBy = options.consolidateBy;
@@ -137,11 +145,11 @@ function ZabbixDBConnectorFactory(datasourceSrv, backendSrv) {
var valueColumn = _lodash2.default.includes(['avg', 'min', 'max'], consolidateBy) ? consolidateBy : 'avg';
valueColumn = consolidateByTrendColumns[valueColumn];
var time_expression = 'clock DIV ' + intervalSec + ' * ' + intervalSec;
var query = '\n SELECT itemid AS metric, ' + time_expression + ' AS time_sec, ' + aggFunction + '(' + valueColumn + ') AS value\n FROM ' + table + '\n WHERE itemid IN (' + itemids + ')\n AND clock > ' + timeFrom + ' AND clock < ' + timeTill + '\n GROUP BY ' + time_expression + ', metric\n ';
var dialect = _this3.sqlDataSourceType;
var query = buildSQLTrendsQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction, valueColumn, dialect);
query = compactSQLQuery(query);
return _this2.invokeSQLQuery(query);
return _this3.invokeSQLQuery(query);
});
return Promise.all(promises).then(function (results) {
@@ -219,3 +227,59 @@ function convertGrafanaTSResponse(time_series, items, addHostName) {
function compactSQLQuery(query) {
return query.replace(/\s+/g, ' ');
}
function buildSQLHistoryQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction) {
var dialect = arguments.length > 6 && arguments[6] !== undefined ? arguments[6] : 'mysql';
if (dialect === 'postgres') {
return buildPostgresHistoryQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction);
} else {
return buildMysqlHistoryQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction);
}
}
function buildSQLTrendsQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction, valueColumn) {
var dialect = arguments.length > 7 && arguments[7] !== undefined ? arguments[7] : 'mysql';
if (dialect === 'postgres') {
return buildPostgresTrendsQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction, valueColumn);
} else {
return buildMysqlTrendsQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction, valueColumn);
}
}
///////////
// MySQL //
///////////
function buildMysqlHistoryQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction) {
var time_expression = 'clock DIV ' + intervalSec + ' * ' + intervalSec;
var query = '\n SELECT itemid AS metric, ' + time_expression + ' AS time_sec, ' + aggFunction + '(value) AS value\n FROM ' + table + '\n WHERE itemid IN (' + itemids + ')\n AND clock > ' + timeFrom + ' AND clock < ' + timeTill + '\n GROUP BY ' + time_expression + ', metric\n ORDER BY time_sec ASC\n ';
return query;
}
function buildMysqlTrendsQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction, valueColumn) {
var time_expression = 'clock DIV ' + intervalSec + ' * ' + intervalSec;
var query = '\n SELECT itemid AS metric, ' + time_expression + ' AS time_sec, ' + aggFunction + '(' + valueColumn + ') AS value\n FROM ' + table + '\n WHERE itemid IN (' + itemids + ')\n AND clock > ' + timeFrom + ' AND clock < ' + timeTill + '\n GROUP BY ' + time_expression + ', metric\n ORDER BY time_sec ASC\n ';
return query;
}
var TEST_MYSQL_QUERY = 'SELECT itemid AS metric, clock AS time_sec, value_avg AS value FROM trends_uint LIMIT 1';
////////////////
// PostgreSQL //
////////////////
function buildPostgresHistoryQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction) {
var time_expression = 'clock / ' + intervalSec + ' * ' + intervalSec;
var query = '\n SELECT DISTINCT to_char(itemid, \'FM9999999999999\') AS metric,\n ' + time_expression + ' AS time,\n ' + aggFunction + '(value) OVER (PARTITION BY clock / ' + intervalSec + ') AS value\n FROM ' + table + '\n WHERE itemid IN (' + itemids + ')\n AND clock > ' + timeFrom + ' AND clock < ' + timeTill + '\n GROUP BY metric, clock, value\n ORDER BY time ASC\n ';
return query;
}
function buildPostgresTrendsQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction, valueColumn) {
var time_expression = 'clock / ' + intervalSec + ' * ' + intervalSec;
var query = '\n SELECT DISTINCT to_char(itemid, \'FM9999999999999\') AS metric,\n ' + time_expression + ' AS time,\n ' + aggFunction + '(' + valueColumn + ') OVER (PARTITION BY clock / ' + intervalSec + ') AS value\n FROM ' + table + '\n WHERE itemid IN (' + itemids + ')\n AND clock > ' + timeFrom + ' AND clock < ' + timeTill + '\n GROUP BY metric, clock, ' + valueColumn + '\n ORDER BY time ASC\n ';
return query;
}
var TEST_POSTGRES_QUERY = '\n SELECT to_char(itemid, \'FM9999999999999\') AS metric, clock AS time, value_avg AS value\n FROM trends_uint LIMIT 1\n';