influxdb/services/storage/batch_cursor.gen.go.tmpl

211 lines
4.2 KiB
Cheetah

package storage
import (
"errors"
"github.com/influxdata/influxdb/tsdb"
)
{{range .}}
// ********************
// {{.Name}} BatchCursor
type {{.name}}FilterBatchCursor struct {
tsdb.{{.Name}}BatchCursor
cond expression
m *singleValue
t []int64
v []{{.Type}}
tb []int64
vb []{{.Type}}
}
func new{{.Name}}FilterBatchCursor(cond expression) *{{.name}}FilterBatchCursor {
return &{{.name}}FilterBatchCursor{
cond: cond,
m: &singleValue{},
t: make([]int64, tsdb.DefaultMaxPointsPerBlock),
v: make([]{{.Type}}, tsdb.DefaultMaxPointsPerBlock),
}
}
func (c *{{.name}}FilterBatchCursor) reset(cur tsdb.{{.Name}}BatchCursor) {
c.{{.Name}}BatchCursor = cur
c.tb, c.vb = nil, nil
}
func (c *{{.name}}FilterBatchCursor) Next() (key []int64, value []{{.Type}}) {
pos := 0
var ks []int64
var vs []{{.Type}}
if len(c.tb) > 0 {
ks, vs = c.tb, c.vb
c.tb, c.vb = nil, nil
} else {
ks, vs = c.{{.Name}}BatchCursor.Next()
}
for len(ks) > 0 {
for i, v := range vs {
c.m.v = v
if c.cond.EvalBool(c.m) {
c.t[pos], c.v[pos] = ks[i], v
pos++
if pos >= tsdb.DefaultMaxPointsPerBlock {
c.tb, c.vb = ks[i+1:], vs[i+1:]
return c.t[:pos], c.v[:pos]
}
}
}
ks, vs = c.{{.Name}}BatchCursor.Next()
}
return c.t[:pos], c.v[:pos]
}
type {{.name}}MultiShardBatchCursor struct {
tsdb.{{.Name}}BatchCursor
cursorContext
filter *{{.name}}FilterBatchCursor
}
func (c *{{.name}}MultiShardBatchCursor) reset(cur tsdb.{{.Name}}BatchCursor, itrs tsdb.CursorIterators, cond expression) {
if cond != nil {
if c.filter == nil {
c.filter = new{{.Name}}FilterBatchCursor(cond)
}
c.filter.reset(cur)
cur = c.filter
}
c.{{.Name}}BatchCursor = cur
c.itrs = itrs
c.err = nil
c.count = 0
}
func (c *{{.name}}MultiShardBatchCursor) Err() error { return c.err }
func (c *{{.name}}MultiShardBatchCursor) Next() (key []int64, value []{{.Type}}) {
for {
ks, vs := c.{{.Name}}BatchCursor.Next()
if len(ks) == 0 {
if c.nextBatchCursor() {
continue
}
}
c.count += int64(len(ks))
if c.count > c.limit {
diff := c.count - c.limit
c.count -= diff
rem := int64(len(ks)) - diff
ks = ks[:rem]
vs = vs[:rem]
}
return ks, vs
}
}
func (c *{{.name}}MultiShardBatchCursor) nextBatchCursor() bool {
if len(c.itrs) == 0 {
return false
}
c.{{.Name}}BatchCursor.Close()
var itr tsdb.CursorIterator
var cur tsdb.Cursor
for cur == nil && len(c.itrs) > 0 {
itr, c.itrs = c.itrs[0], c.itrs[1:]
cur, _ = itr.Next(c.ctx, c.req)
}
var ok bool
if cur != nil {
var next tsdb.{{.Name}}BatchCursor
next, ok = cur.(tsdb.{{.Name}}BatchCursor)
if !ok {
cur.Close()
next = {{.Name}}EmptyBatchCursor
c.itrs = nil
c.err = errors.New("expected {{.name}} cursor")
} else {
if c.filter != nil {
c.filter.reset(next)
next = c.filter
}
}
c.{{.Name}}BatchCursor = next
} else {
c.{{.Name}}BatchCursor = {{.Name}}EmptyBatchCursor
}
return ok
}
{{if .Agg}}
type {{.name}}SumBatchCursor struct {
tsdb.{{.Name}}BatchCursor
ts [1]int64
vs [1]{{.Type}}
}
func (c *{{.name}}SumBatchCursor) Next() (key []int64, value []{{.Type}}) {
ks, vs := c.{{.Name}}BatchCursor.Next()
if len(ks) == 0 {
return nil, nil
}
ts := ks[0]
var acc {{.Type}}
for {
for _, v := range vs {
acc += v
}
ks, vs = c.{{.Name}}BatchCursor.Next()
if len(ks) == 0 {
c.ts[0] = ts
c.vs[0] = acc
return c.ts[:], c.vs[:]
}
}
}
{{end}}
type integer{{.Name}}CountBatchCursor struct {
tsdb.{{.Name}}BatchCursor
}
func (c *integer{{.Name}}CountBatchCursor) Next() (key []int64, value []int64) {
ks, _ := c.{{.Name}}BatchCursor.Next()
if len(ks) == 0 {
return nil, nil
}
ts := ks[0]
var acc int64
for {
acc += int64(len(ks))
ks, _ = c.{{.Name}}BatchCursor.Next()
if len(ks) == 0 {
return []int64{ts}, []int64{acc}
}
}
}
type {{.name}}EmptyBatchCursor struct{}
var {{.Name}}EmptyBatchCursor tsdb.{{.Name}}BatchCursor = &{{.name}}EmptyBatchCursor{}
func (*{{.name}}EmptyBatchCursor) Err() error { return nil }
func (*{{.name}}EmptyBatchCursor) Close() {}
func (*{{.name}}EmptyBatchCursor) Next() (key []int64, value []{{.Type}}) { return nil, nil }
{{end}}