summaryrefslogtreecommitdiffstats
path: root/vendor/github.com/beorn7/perks/quantile/example_test.go
diff options
context:
space:
mode:
Diffstat (limited to 'vendor/github.com/beorn7/perks/quantile/example_test.go')
-rw-r--r--vendor/github.com/beorn7/perks/quantile/example_test.go121
1 files changed, 121 insertions, 0 deletions
diff --git a/vendor/github.com/beorn7/perks/quantile/example_test.go b/vendor/github.com/beorn7/perks/quantile/example_test.go
new file mode 100644
index 000000000..ab3293aaf
--- /dev/null
+++ b/vendor/github.com/beorn7/perks/quantile/example_test.go
@@ -0,0 +1,121 @@
+// +build go1.1
+
+package quantile_test
+
+import (
+ "bufio"
+ "fmt"
+ "log"
+ "os"
+ "strconv"
+ "time"
+
+ "github.com/beorn7/perks/quantile"
+)
+
+func Example_simple() {
+ ch := make(chan float64)
+ go sendFloats(ch)
+
+ // Compute the 50th, 90th, and 99th percentile.
+ q := quantile.NewTargeted(map[float64]float64{
+ 0.50: 0.005,
+ 0.90: 0.001,
+ 0.99: 0.0001,
+ })
+ for v := range ch {
+ q.Insert(v)
+ }
+
+ fmt.Println("perc50:", q.Query(0.50))
+ fmt.Println("perc90:", q.Query(0.90))
+ fmt.Println("perc99:", q.Query(0.99))
+ fmt.Println("count:", q.Count())
+ // Output:
+ // perc50: 5
+ // perc90: 16
+ // perc99: 223
+ // count: 2388
+}
+
+func Example_mergeMultipleStreams() {
+ // Scenario:
+ // We have multiple database shards. On each shard, there is a process
+ // collecting query response times from the database logs and inserting
+ // them into a Stream (created via NewTargeted(0.90)), much like the
+ // Simple example. These processes expose a network interface for us to
+ // ask them to serialize and send us the results of their
+ // Stream.Samples so we may Merge and Query them.
+ //
+ // NOTES:
+ // * These sample sets are small, allowing us to get them
+ // across the network much faster than sending the entire list of data
+ // points.
+ //
+ // * For this to work correctly, we must supply the same quantiles
+ // a priori the process collecting the samples supplied to NewTargeted,
+ // even if we do not plan to query them all here.
+ ch := make(chan quantile.Samples)
+ getDBQuerySamples(ch)
+ q := quantile.NewTargeted(map[float64]float64{0.90: 0.001})
+ for samples := range ch {
+ q.Merge(samples)
+ }
+ fmt.Println("perc90:", q.Query(0.90))
+}
+
+func Example_window() {
+ // Scenario: We want the 90th, 95th, and 99th percentiles for each
+ // minute.
+
+ ch := make(chan float64)
+ go sendStreamValues(ch)
+
+ tick := time.NewTicker(1 * time.Minute)
+ q := quantile.NewTargeted(map[float64]float64{
+ 0.90: 0.001,
+ 0.95: 0.0005,
+ 0.99: 0.0001,
+ })
+ for {
+ select {
+ case t := <-tick.C:
+ flushToDB(t, q.Samples())
+ q.Reset()
+ case v := <-ch:
+ q.Insert(v)
+ }
+ }
+}
+
+func sendStreamValues(ch chan float64) {
+ // Use your imagination
+}
+
+func flushToDB(t time.Time, samples quantile.Samples) {
+ // Use your imagination
+}
+
+// This is a stub for the above example. In reality this would hit the remote
+// servers via http or something like it.
+func getDBQuerySamples(ch chan quantile.Samples) {}
+
+func sendFloats(ch chan<- float64) {
+ f, err := os.Open("exampledata.txt")
+ if err != nil {
+ log.Fatal(err)
+ }
+ sc := bufio.NewScanner(f)
+ for sc.Scan() {
+ b := sc.Bytes()
+ v, err := strconv.ParseFloat(string(b), 64)
+ if err != nil {
+ log.Fatal(err)
+ }
+ ch <- v
+ }
+ if sc.Err() != nil {
+ log.Fatal(sc.Err())
+ }
+ close(ch)
+}