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2a1a5145d0
* WIP - proof of concept * Update pkg/tsdb/elasticsearch/client/client.go Co-authored-by: Sven Grossmann <sven.grossmann@grafana.com> * update and add test * lint * Fix lint * Bring back logging when creating client --------- Co-authored-by: Sven Grossmann <sven.grossmann@grafana.com>
127 lines
3.6 KiB
Go
127 lines
3.6 KiB
Go
package elasticsearch
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import (
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"time"
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"github.com/grafana/grafana-plugin-sdk-go/backend"
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"github.com/grafana/grafana/pkg/components/simplejson"
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)
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// Query represents the time series query model of the datasource
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type Query struct {
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RawQuery string `json:"query"`
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BucketAggs []*BucketAgg `json:"bucketAggs"`
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Metrics []*MetricAgg `json:"metrics"`
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Alias string `json:"alias"`
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Interval time.Duration
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IntervalMs int64
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RefID string
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MaxDataPoints int64
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TimeRange backend.TimeRange
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}
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// BucketAgg represents a bucket aggregation of the time series query model of the datasource
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type BucketAgg struct {
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Field string `json:"field"`
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ID string `json:"id"`
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Settings *simplejson.Json `json:"settings"`
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Type string `json:"type"`
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}
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// MetricAgg represents a metric aggregation of the time series query model of the datasource
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type MetricAgg struct {
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Field string `json:"field"`
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Hide bool `json:"hide"`
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ID string `json:"id"`
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PipelineAggregate string `json:"pipelineAgg"`
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PipelineVariables map[string]string `json:"pipelineVariables"`
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Settings *simplejson.Json `json:"settings"`
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Meta *simplejson.Json `json:"meta"`
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Type string `json:"type"`
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}
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var metricAggType = map[string]string{
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"count": "Count",
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"avg": "Average",
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"sum": "Sum",
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"max": "Max",
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"min": "Min",
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"extended_stats": "Extended Stats",
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"percentiles": "Percentiles",
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"top_metrics": "Top Metrics",
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"cardinality": "Unique Count",
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"moving_avg": "Moving Average",
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"moving_fn": "Moving Function",
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"cumulative_sum": "Cumulative Sum",
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"derivative": "Derivative",
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"serial_diff": "Serial Difference",
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"bucket_script": "Bucket Script",
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"raw_document": "Raw Document",
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"raw_data": "Raw Data",
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"rate": "Rate",
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"logs": "Logs",
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}
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var extendedStats = map[string]string{
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"avg": "Avg",
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"min": "Min",
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"max": "Max",
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"sum": "Sum",
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"count": "Count",
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"std_deviation": "Std Dev",
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"std_deviation_bounds_upper": "Std Dev Upper",
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"std_deviation_bounds_lower": "Std Dev Lower",
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}
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var pipelineAggType = map[string]string{
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"moving_avg": "moving_avg",
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"moving_fn": "moving_fn",
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"cumulative_sum": "cumulative_sum",
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"derivative": "derivative",
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"serial_diff": "serial_diff",
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"bucket_script": "bucket_script",
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}
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var scriptableAggType = map[string]string{
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"avg": "avg",
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"sum": "sum",
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"max": "max",
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"min": "min",
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"extended_stats": "extended_stats",
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"percentiles": "percentiles",
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"bucket_script": "bucket_script",
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}
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var pipelineAggWithMultipleBucketPathsType = map[string]string{
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"bucket_script": "bucket_script",
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}
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func isPipelineAgg(metricType string) bool {
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if _, ok := pipelineAggType[metricType]; ok {
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return true
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}
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return false
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}
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func isMetricAggregationWithInlineScriptSupport(metricType string) bool {
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if _, ok := scriptableAggType[metricType]; ok {
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return true
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}
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return false
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}
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func isPipelineAggWithMultipleBucketPaths(metricType string) bool {
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if _, ok := pipelineAggWithMultipleBucketPathsType[metricType]; ok {
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return true
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}
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return false
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}
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func describeMetric(metricType, field string) string {
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text := metricAggType[metricType]
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if metricType == countType {
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return text
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}
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return text + " " + field
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}
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