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logstash.go
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logstash.go
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package expr
import (
"encoding/json"
"fmt"
"regexp"
"strings"
"time"
"bosun.org/_third_party/github.com/MiniProfiler/go/miniprofiler"
"bosun.org/_third_party/github.com/olivere/elastic"
"bosun.org/cmd/bosun/expr/parse"
"bosun.org/opentsdb"
)
// This uses a global client since the elastic client handles connections
var lsClient *elastic.Client
// The following are specific functions that query an elastic instance populated by
// logstash. They are only loaded when the elastic hosts are set in the config file
var LogstashElastic = map[string]parse.Func{
"lscount": {
Args: []parse.FuncType{parse.TypeString, parse.TypeString, parse.TypeString, parse.TypeString, parse.TypeString, parse.TypeString},
Return: parse.TypeSeriesSet,
Tags: logstashTagQuery,
F: LSCount,
},
"lsstat": {
Args: []parse.FuncType{parse.TypeString, parse.TypeString, parse.TypeString, parse.TypeString, parse.TypeString, parse.TypeString, parse.TypeString, parse.TypeString},
Return: parse.TypeSeriesSet,
Tags: logstashTagQuery,
F: LSStat,
},
}
// This is an array of Logstash hosts and exists as a type for something to attach
// methods to. The elasticsearch library will use the listed to hosts to discover all
// of the hosts in the config
type LogstashElasticHosts []string
// InitClient sets up the elastic client. If the client has already been
// initalized it is a noop
func (e LogstashElasticHosts) InitClient() error {
if lsClient == nil {
var err error
lsClient, err = elastic.NewClient(elastic.SetURL(e...), elastic.SetMaxRetries(10))
if err != nil {
return err
}
}
return nil
}
// getService returns an elasticsearch service based on the global client
func (e *LogstashElasticHosts) getService() (*elastic.SearchService, error) {
err := e.InitClient()
if err != nil {
return nil, err
}
return lsClient.Search(), nil
}
// Query takes a Logstash request, applies it a search service, and then queries
// elasticsearch.
func (e LogstashElasticHosts) Query(r *LogstashRequest) (*elastic.SearchResult, error) {
s, err := e.getService()
if err != nil {
return nil, err
}
indicies, err := e.GenIndices(r)
if err != nil {
return nil, err
}
s.Indices(indicies)
return s.SearchSource(r.Source).Do()
}
// LogstashRequest is a container for the information needed to query elasticsearch.
type LogstashRequest struct {
IndexRoot string // The root of all index names i.e. logstash in logstash-2014-04-25
Start *time.Time
End *time.Time
Source *elastic.SearchSource // This the object that we build queries in
KeyMatches []lsKeyMatch
}
// CacheKey returns the text of the elastic query. That text is the indentifer for
// the query in the cache
func (r *LogstashRequest) CacheKey() string {
return r.Source.Source().(string)
}
// timeLSRequest execute the elasticsearch query (which may set or hit cache) and returns
// the search results.
func timeLSRequest(e *State, T miniprofiler.Timer, req *LogstashRequest) (resp *elastic.SearchResult, err error) {
e.logstashQueries = append(e.logstashQueries, *req.Source)
b, _ := json.MarshalIndent(req.Source.Source(), "", " ")
T.StepCustomTiming("logstash", "query", string(b), func() {
getFn := func() (interface{}, error) {
return e.logstashHosts.Query(req)
}
var val interface{}
val, err = e.cache.Get(string(b), getFn)
resp = val.(*elastic.SearchResult)
})
return
}
// The regexs in keystring are applied twice. First as a regexp filter to
// elastic, and then as a go regexp to the keys of the result. This is because
// the value could be an array and you will get groups that should be filtered.
type lsKeyMatch struct {
Key string
RawPattern string
Pattern *regexp.Regexp
}
// GenIndicies generates the indexes to hit based on the timeframe of the query.
// It assumes all
func (e *LogstashElasticHosts) GenIndices(r *LogstashRequest) (string, error) {
err := e.InitClient()
if err != nil {
return "", err
}
// Short-circut when using concrete ES index name
if strings.HasSuffix(r.IndexRoot, "/") {
return r.IndexRoot[:len(r.IndexRoot)-1], nil
}
indices, err := lsClient.IndexNames()
if err != nil {
return "", err
}
start := r.Start.Truncate(time.Hour * 24)
end := r.End.Truncate(time.Hour*24).AddDate(0, 0, 1)
var selectedIndices []string
for _, index := range indices {
var root, date string
if i := strings.LastIndex(index, "-"); i >= 0 {
root = index[:i]
date = index[i+1:]
}
if root != r.IndexRoot {
continue
}
d, err := time.Parse("2006.01.02", date)
if err != nil {
continue
}
if !d.Before(start) && !d.After(end) {
selectedIndices = append(selectedIndices, index)
}
}
if len(selectedIndices) == 0 {
return "", fmt.Errorf("no elastic indices available during this time range, index[%s], start/end [%s|%s]", r.IndexRoot, start.Format("2006.01.02"), end.Format("2006.01.02"))
}
return strings.Join(selectedIndices, ","), nil
}
// LScount takes 6 arguments and returns the per second for matching documents.
// index_root is the root name of the index to hit, the format is expected to be
// fmt.Sprintf("%s-%s", index_root, d.Format("2006.01.02")).
// keystring creates groups (like tagsets) and can also filter those groups. It
// is the format of "field:regex,field:regex..." The :regex can be ommited.
// filter is an Elastic regexp query that can be applied to any field. It is in
// the same format as the keystring argument.
// interval is in the format of an opentsdb time duration, and tells elastic
// what the bucket size should be. The result will be normalized to a per second
// rate regardless of what this is set to.
// sduration and end duration are the time bounds for the query and are in
// opentsdb's relative time format:
// http://opentsdb.net/docs/build/html/user_guide/query/dates.html
// Caveats:
// 1) There is currently no escaping in the keystring, so if you regex needs to
// have a comma or double quote you are out of luck.
// 2) If the type of the field value in Elastic (aka the mapping) is a number
// then the regexes won't act as a regex. The only thing you can do is an exact
// match on the number, ie "eventlogid:1234". It is recommended that anything
// that is a identifer should be stored as a string since they are not numbers
// even if they are made up entirely of numerals.
func LSCount(e *State, T miniprofiler.Timer, index_root, keystring, filter, interval, sduration, eduration string) (r *Results, err error) {
return LSDateHistogram(e, T, index_root, keystring, filter, interval, sduration, eduration, "", "", 0)
}
// LSStat returns a bucketed statistical reduction for the specified field.
// The arguments are the same LSCount with the addition of the following:
// The field is the field to generate stats for - this must be a number type in
// elastic.
// rstat is the reduction function to use per bucket and can be one of the
// following: avg, min, max, sum, sum_of_squares, variance, std_deviation
func LSStat(e *State, T miniprofiler.Timer, index_root, keystring, filter, field, rstat, interval, sduration, eduration string) (r *Results, err error) {
return LSDateHistogram(e, T, index_root, keystring, filter, interval, sduration, eduration, field, rstat, 0)
}
// LSDateHistorgram builds the aggregation query using subaggregations. The result is a grouped timer series
// that Bosun can understand
func LSDateHistogram(e *State, T miniprofiler.Timer, index_root, keystring, filter, interval, sduration, eduration, stat_field, rstat string, size int) (r *Results, err error) {
r = new(Results)
req, err := LSBaseQuery(e.now, index_root, e.logstashHosts, keystring, filter, sduration, eduration, size)
if err != nil {
return nil, err
}
ts := elastic.NewDateHistogramAggregation().Field("@timestamp").Interval(strings.Replace(interval, "M", "n", -1)).MinDocCount(0)
ds, err := opentsdb.ParseDuration(interval)
if err != nil {
return nil, err
}
if stat_field != "" {
ts = ts.SubAggregation("stats", elastic.NewExtendedStatsAggregation().Field(stat_field))
switch rstat {
case "avg", "min", "max", "sum", "sum_of_squares", "variance", "std_deviation":
default:
return r, fmt.Errorf("stat function %v not a valid option", rstat)
}
}
if keystring == "" {
req.Source = req.Source.Aggregation("ts", ts)
result, err := timeLSRequest(e, T, req)
if err != nil {
return nil, err
}
ts, found := result.Aggregations.DateHistogram("ts")
if !found {
return nil, fmt.Errorf("expected time series not found in elastic reply")
}
series := make(Series)
for _, v := range ts.Buckets {
val := processBucketItem(v, rstat, ds)
if val != nil {
series[time.Unix(v.Key/1000, 0).UTC()] = *val
}
}
if len(series) == 0 {
return r, nil
}
r.Results = append(r.Results, &Result{
Value: series,
Group: make(opentsdb.TagSet),
})
return r, nil
}
keys := req.KeyMatches
aggregation := elastic.NewTermsAggregation().Field(keys[len(keys)-1].Key).Size(0)
aggregation = aggregation.SubAggregation("ts", ts)
for i := len(keys) - 2; i > -1; i-- {
aggregation = elastic.NewTermsAggregation().Field(keys[i].Key).Size(0).SubAggregation("g_"+keys[i+1].Key, aggregation)
}
req.Source = req.Source.Aggregation("g_"+keys[0].Key, aggregation)
result, err := timeLSRequest(e, T, req)
if err != nil {
return nil, err
}
top, ok := result.Aggregations.Terms("g_" + keys[0].Key)
if !ok {
return nil, fmt.Errorf("top key g_%v not found in result", keys[0].Key)
}
var desc func(*elastic.AggregationBucketKeyItem, opentsdb.TagSet, []lsKeyMatch) error
desc = func(b *elastic.AggregationBucketKeyItem, tags opentsdb.TagSet, keys []lsKeyMatch) error {
if ts, found := b.DateHistogram("ts"); found {
if e.squelched(tags) {
return nil
}
series := make(Series)
for _, v := range ts.Buckets {
val := processBucketItem(v, rstat, ds)
if val != nil {
series[time.Unix(v.Key/1000, 0).UTC()] = *val
}
}
if len(series) == 0 {
return nil
}
r.Results = append(r.Results, &Result{
Value: series,
Group: tags.Copy(),
})
return nil
}
if len(keys) < 1 {
return nil
}
n, _ := b.Aggregations.Terms("g_" + keys[0].Key)
for _, item := range n.Buckets {
key := fmt.Sprint(item.Key)
if keys[0].Pattern != nil && !keys[0].Pattern.MatchString(key) {
continue
}
tags[keys[0].Key] = key
if err := desc(item, tags.Copy(), keys[1:]); err != nil {
return err
}
}
return nil
}
for _, b := range top.Buckets {
tags := make(opentsdb.TagSet)
key := fmt.Sprint(b.Key)
if keys[0].Pattern != nil && !keys[0].Pattern.MatchString(key) {
continue
}
tags[keys[0].Key] = key
if err := desc(b, tags, keys[1:]); err != nil {
return nil, err
}
}
return r, nil
}
func processBucketItem(b *elastic.AggregationBucketHistogramItem, rstat string, ds opentsdb.Duration) *float64 {
if stats, found := b.ExtendedStats("stats"); found {
var val *float64
switch rstat {
case "avg":
val = stats.Avg
case "min":
val = stats.Min
case "max":
val = stats.Max
case "sum":
val = stats.Sum
case "sum_of_squares":
val = stats.SumOfSquares
case "variance":
val = stats.Variance
case "std_deviation":
val = stats.StdDeviation
}
return val
}
v := float64(b.DocCount) / ds.Seconds()
return &v
}
// LSBaseQuery builds the base query that both LSCount and LSStat share
func LSBaseQuery(now time.Time, indexRoot string, l LogstashElasticHosts, keystring string, filter, sduration, eduration string, size int) (*LogstashRequest, error) {
start, err := opentsdb.ParseDuration(sduration)
if err != nil {
return nil, err
}
var end opentsdb.Duration
if eduration != "" {
end, err = opentsdb.ParseDuration(eduration)
if err != nil {
return nil, err
}
}
st := now.Add(time.Duration(-start))
en := now.Add(time.Duration(-end))
r := LogstashRequest{
IndexRoot: indexRoot,
Start: &st,
End: &en,
Source: elastic.NewSearchSource().Size(size),
}
tf := elastic.NewRangeFilter("@timestamp").Gte(st).Lte(en)
filtered := elastic.NewFilteredQuery(tf)
r.KeyMatches, err = ProcessLSKeys(keystring, filter, &filtered)
if err != nil {
return nil, err
}
r.Source = r.Source.Query(filtered)
return &r, nil
}
// This creates the elastic filter porition of a query
func ProcessLSKeys(keystring, filter string, filtered *elastic.FilteredQuery) ([]lsKeyMatch, error) {
var keys []lsKeyMatch
var filters []elastic.Filter
for _, section := range strings.Split(keystring, ",") {
sp := strings.SplitN(section, ":", 2)
k := lsKeyMatch{Key: sp[0]}
if len(sp) == 2 {
k.RawPattern = sp[1]
var err error
k.Pattern, err = regexp.Compile(k.RawPattern)
if err != nil {
return nil, err
}
re := elastic.NewRegexpFilter(k.Key, k.RawPattern)
filters = append(filters, re)
}
keys = append(keys, k)
}
if filter != "" {
for _, section := range strings.Split(filter, ",") {
sp := strings.SplitN(section, ":", 2)
if len(sp) != 2 {
return nil, fmt.Errorf("error parsing filter string")
}
re := elastic.NewRegexpFilter(sp[0], sp[1])
filters = append(filters, re)
}
}
if len(filters) > 0 {
and := elastic.NewAndFilter(filters...)
*filtered = filtered.Filter(and)
}
return keys, nil
}