/
dbMetricsBase.go
149 lines (132 loc) · 3.43 KB
/
dbMetricsBase.go
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package metrics
import (
"database/sql"
"sort"
"strconv"
"github.com/Releem/mysqlconfigurer/config"
"github.com/advantageous/go-logback/logging"
)
type DbMetricsBaseGatherer struct {
logger logging.Logger
debug bool
db *sql.DB
}
func NewDbMetricsBaseGatherer(logger logging.Logger, db *sql.DB, configuration *config.Config) *DbMetricsBaseGatherer {
if logger == nil {
if configuration.Debug {
logger = logging.NewSimpleDebugLogger("DbMetricsBase")
} else {
logger = logging.NewSimpleLogger("DbMetricsBase")
}
}
return &DbMetricsBaseGatherer{
logger: logger,
debug: configuration.Debug,
db: db,
}
}
func (DbMetricsBase *DbMetricsBaseGatherer) GetMetrics(metrics *Metrics) error {
// Mysql Status
output := make(MetricGroupValue)
{
var row MetricValue
rows, err := DbMetricsBase.db.Query("SHOW STATUS")
if err != nil {
DbMetricsBase.logger.Error(err)
return err
}
for rows.Next() {
err := rows.Scan(&row.name, &row.value)
if err != nil {
DbMetricsBase.logger.Error(err)
return err
}
output[row.name] = row.value
}
rows.Close()
rows, err = DbMetricsBase.db.Query("SHOW GLOBAL STATUS")
if err != nil {
DbMetricsBase.logger.Error(err)
return err
}
for rows.Next() {
err := rows.Scan(&row.name, &row.value)
if err != nil {
DbMetricsBase.logger.Error(err)
return err
}
output[row.name] = row.value
}
metrics.DB.Metrics.Status = output
rows.Close()
}
// Latency
{
var output []MetricGroupValue
var digest string
var calls, avg_time_us int
rows, err := DbMetricsBase.db.Query("SELECT CONCAT(IFNULL(schema_name, 'NULL'), '_', IFNULL(digest, 'NULL')) as queryid, count_star as calls, round(avg_timer_wait/1000000, 0) as avg_time_us FROM performance_schema.events_statements_summary_by_digest")
if err != nil {
if err != sql.ErrNoRows {
DbMetricsBase.logger.Error(err)
}
} else {
for rows.Next() {
err := rows.Scan(&digest, &calls, &avg_time_us)
if err != nil {
DbMetricsBase.logger.Error(err)
return err
}
digest := MetricGroupValue{"queryid": digest, "calls": calls, "avg_time_us": avg_time_us}
output = append(output, digest)
}
}
if len(output) != 0 {
totalQueryCount := len(output)
dictQueryCount := make(map[int]int)
listAvgTimeDistinct := make([]int, 0)
listAvgTime := make([]int, 0)
for _, query := range output {
avgTime := query["avg_time_us"].(int)
if !contains(listAvgTimeDistinct, avgTime) {
listAvgTimeDistinct = append(listAvgTimeDistinct, avgTime)
}
listAvgTime = append(listAvgTime, avgTime)
}
sort.Sort(sort.Reverse(sort.IntSlice(listAvgTimeDistinct)))
for _, avgTime1 := range listAvgTime {
for _, avgTime2 := range listAvgTimeDistinct {
if avgTime2 >= avgTime1 {
if _, ok := dictQueryCount[avgTime2]; !ok {
dictQueryCount[avgTime2] = 1
} else {
dictQueryCount[avgTime2]++
}
} else {
break
}
}
}
latency := 0
for _, avgTime := range listAvgTimeDistinct {
if float64(dictQueryCount[avgTime])/float64(totalQueryCount) <= 0.95 {
break
}
latency = avgTime
}
metrics.DB.Metrics.Latency = strconv.Itoa(latency)
} else {
metrics.DB.Metrics.Latency = ""
}
}
DbMetricsBase.logger.Debug("collectMetrics ", metrics.DB.Metrics)
return nil
}
func contains(arr []int, num int) bool {
for _, n := range arr {
if n == num {
return true
}
}
return false
}