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package server
import (
"context"
"os"
"strings"
"time"
"github.com/mimecast/dtail/internal/config"
"github.com/mimecast/dtail/internal/io/line"
"github.com/mimecast/dtail/internal/io/logger"
"github.com/mimecast/dtail/internal/mapr"
"github.com/mimecast/dtail/internal/mapr/logformat"
)
// Aggregate is for aggregating mapreduce data on the DTail server side.
type Aggregate struct {
// Log lines to process (parsing MAPREDUCE lines).
Lines chan line.Line
// Hostname of the current server (used to populate $hostname field).
hostname string
// Signals to serialize data.
serialize chan struct{}
// Signals to flush data.
flush chan struct{}
// The mapr query
query *mapr.Query
// The mapr log format parser
parser *logformat.Parser
}
// NewAggregate return a new server side aggregator.
func NewAggregate(queryStr string) (*Aggregate, error) {
query, err := mapr.NewQuery(queryStr)
if err != nil {
return nil, err
}
fqdn, err := os.Hostname()
if err != nil {
logger.Error(err)
}
s := strings.Split(fqdn, ".")
logger.Info("Creating mapr log format parser", config.Server.MapreduceLogFormat)
logParser, err := logformat.NewParser(config.Server.MapreduceLogFormat)
if err != nil {
logger.FatalExit("Could not create mapr log format parser", err)
}
a := Aggregate{
Lines: make(chan line.Line, 100),
serialize: make(chan struct{}),
flush: make(chan struct{}),
hostname: s[0],
query: query,
parser: logParser,
}
return &a, nil
}
// Start an aggregation run.
func (a *Aggregate) Start(ctx context.Context, maprLines chan<- string) {
fieldsCh := a.linesToFields(ctx)
go a.fieldsToMaprLines(ctx, fieldsCh, maprLines)
a.periodicAggregateTimer(ctx)
}
func (a *Aggregate) periodicAggregateTimer(ctx context.Context) {
for {
select {
case <-time.After(a.query.Interval):
a.Serialize(ctx)
case <-ctx.Done():
return
}
}
}
func (a *Aggregate) linesToFields(ctx context.Context) <-chan map[string]string {
fieldsCh := make(chan map[string]string)
go func() {
defer close(fieldsCh)
for {
select {
case line, ok := <-a.Lines:
if !ok {
return
}
maprLine := strings.TrimSpace(string(line.Content))
fields, err := a.parser.MakeFields(maprLine)
if err != nil {
logger.Error(err)
continue
}
if !a.query.WhereClause(fields) {
continue
}
select {
case fieldsCh <- fields:
case <-ctx.Done():
}
case <-ctx.Done():
return
}
}
}()
return fieldsCh
}
func (a *Aggregate) fieldsToMaprLines(ctx context.Context, fieldsCh <-chan map[string]string, maprLines chan<- string) {
group := mapr.NewGroupSet()
for {
select {
case fields, ok := <-fieldsCh:
if !ok {
logger.Info("Serializing mapreduce result (final)")
group.Serialize(ctx, maprLines)
group = mapr.NewGroupSet()
logger.Info("Done serializing mapreduce result (final)")
return
}
a.aggregate(group, fields)
case <-a.serialize:
logger.Info("Serializing mapreduce result")
group.Serialize(ctx, maprLines)
group = mapr.NewGroupSet()
logger.Info("Done serializing mapreduce result")
case <-a.flush:
logger.Info("Flushing mapreduce result")
group.Serialize(ctx, maprLines)
group = mapr.NewGroupSet()
a.flush <- struct{}{}
logger.Info("Done flushing mapreduce result")
case <-ctx.Done():
return
}
}
}
func (a *Aggregate) aggregate(group *mapr.GroupSet, fields map[string]string) {
//logger.Trace("Aggregating", group, fields)
var sb strings.Builder
for i, field := range a.query.GroupBy {
if i > 0 {
sb.WriteString(" ")
}
if val, ok := fields[field]; ok {
sb.WriteString(val)
}
}
groupKey := sb.String()
set := group.GetSet(groupKey)
var addedSample bool
for _, sc := range a.query.Select {
if val, ok := fields[sc.Field]; ok {
if err := set.Aggregate(sc.FieldStorage, sc.Operation, val, false); err != nil {
logger.Error(err)
continue
}
addedSample = true
}
}
if addedSample {
set.Samples++
return
}
logger.Trace("Aggregated data locally without adding new samples")
}
// Serialize all the aggregated data.
func (a *Aggregate) Serialize(ctx context.Context) {
select {
case a.serialize <- struct{}{}:
case <-ctx.Done():
}
}
// Flush all data.
func (a *Aggregate) Flush() {
a.flush <- struct{}{}
<-a.flush
}
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