-
Notifications
You must be signed in to change notification settings - Fork 2
/
test_remove.go
93 lines (85 loc) · 2.29 KB
/
test_remove.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
// Copyright (c) 2013 Couchbase, Inc.
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file
// except in compliance with the License. You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, software distributed under the
// License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
// either express or implied. See the License for the specific language governing permissions
// and limitations under the License.
package main
import (
"github.com/prataprc/gobtree"
"log"
"os"
"time"
)
var conf = btree.Config{
Idxfile: "./data/test_rm_index.dat",
Kvfile: "./data/test_rm_kv.dat",
IndexConfig: btree.IndexConfig{
Sectorsize: 512,
Flistsize: 1000 * btree.OFFSET_SIZE,
Blocksize: 512,
},
Maxlevel: 6,
RebalanceThrs: 3,
AppendRatio: 0.7,
DrainRate: 200,
MaxLeafCache: 1000,
Sync: false,
Nocache: false,
}
func main() {
//os.Remove(conf.idxfile)
//os.Remove(conf.kvfile)
if conf.Debug {
fd, _ := os.Create("debug")
log.SetOutput(fd)
}
bt := btree.NewBTree(btree.NewStore(conf))
factor, count := 100, 10000
rmcount := 0
seed := time.Now().UnixNano()
log.Println("Seed:", seed)
for i := 0; i < 10; i++ {
rmcount += doinsert(seed+int64(i), factor, count, bt)
bt.Drain()
if ((i+1)*factor*count)-rmcount != int(bt.Count()) {
log.Panicln("mismatch in count",
((i+1)*factor*count)-rmcount, bt.Count())
}
bt.Stats(true)
log.Println()
}
log.Println("count", bt.Count())
bt.Close()
}
func doinsert(seed int64, factor, count int, bt *btree.BTree) int {
rmcount := 0
for i := 0; i < factor; i++ {
keys, values := btree.TestData(count, seed)
for j := 0; j < count; j++ {
k, v := keys[j], values[j]
k.Id = int64((i * count) + j)
bt.Insert(k, v)
}
log.Println("Done ", time.Now().UnixNano()/1000000, (i+1)*count)
rmcount += doremove(keys, values, bt)
}
return rmcount
}
func doremove(keys []*btree.TestKey, values []*btree.TestValue, bt *btree.BTree) int {
rmcount := 0
count := len(keys)
for j := 0; j < count; j += 3 {
k := keys[j]
bt.Remove(k)
rmcount += 1
}
for j := 1; j < count; j += 3 {
k := keys[j]
bt.Remove(k)
rmcount += 1
}
return rmcount
}