Retention Policy(RP)是数据保留工夫策略,超过了肯定的工夫后,老的数据会被主动删除。
联合CQ(Continuous Query)和RP,能够将历史数据保留为低精度,最近的数据保留为高精度,以升高存储用量。
RP的语法结构:
CREATE RETENTION POLICY <retention_policy_name>
ON <database_name>
DURATION <duration>
REPLICATION <n>
[SHARD DURATION <duration>]
[DEFAULT]
其中:
- duration指定了数据保留的工夫,当超过了这个工夫后,数据被主动删除;
- replication指定每个shard的正本数,默认为1,集群场景须要>=2;
- shard duration实际上指定每个shardGroup保留数据的工夫长度,能够不传入,零碎会依据duration主动计算一个值;
- default指定是否默认的RP,若RP为默认,创立database未指定RP时,就应用默认的RP;
influxdb内置了一个默认策略autogen:
- duration=0s示意永不过期;
- shardGroupDuration=168h示意1个shardGroup保留7天的数据;
> show retention policies;
name duration shardGroupDuration replicaN default
---- -------- ------------------ -------- -------
autogen 0s 168h0m0s 1 true
shardGroup vs shard:
- shardGroup蕴含若干个shard;
- shardGroup指定保留1段时间的数据,shardGroup下所有shard的数据都位于这个工夫范畴内;
看一下单机版influxdb,rp=autogen,replica=1的shards状况:
> show shard groups;
name: shard groups
id database retention_policy start_time end_time expiry_time
-- -------- ---------------- ---------- -------- -----------
25 falcon autogen 2020-04-27T00:00:00Z 2020-05-04T00:00:00Z 2020-05-04T00:00:00Z
33 falcon autogen 2020-05-04T00:00:00Z 2020-05-11T00:00:00Z 2020-05-11T00:00:00Z
42 falcon autogen 2020-05-11T00:00:00Z 2020-05-18T00:00:00Z 2020-05-18T00:00:00Z
51 falcon autogen 2020-05-18T00:00:00Z 2020-05-25T00:00:00Z 2020-05-25T00:00:00Z
60 falcon autogen 2020-05-25T00:00:00Z 2020-06-01T00:00:00Z 2020-06-01T00:00:00Z
69 falcon autogen 2020-06-01T00:00:00Z 2020-06-08T00:00:00Z 2020-06-08T00:00:00Z
78 falcon autogen 2020-06-08T00:00:00Z 2020-06-15T00:00:00Z 2020-06-15T00:00:00Z
每个shardGroup保留7day的数据,1个shardGroup蕴含1个shard:
> show shards;
name: falcon
id database retention_policy shard_group start_time end_time expiry_time owners
-- -------- ---------------- ----------- ---------- -------- ----------- ------
25 falcon autogen 25 2020-04-27T00:00:00Z 2020-05-04T00:00:00Z 2020-05-04T00:00:00Z
33 falcon autogen 33 2020-05-04T00:00:00Z 2020-05-11T00:00:00Z 2020-05-11T00:00:00Z
42 falcon autogen 42 2020-05-11T00:00:00Z 2020-05-18T00:00:00Z 2020-05-18T00:00:00Z
51 falcon autogen 51 2020-05-18T00:00:00Z 2020-05-25T00:00:00Z 2020-05-25T00:00:00Z
60 falcon autogen 60 2020-05-25T00:00:00Z 2020-06-01T00:00:00Z 2020-06-01T00:00:00Z
69 falcon autogen 69 2020-06-01T00:00:00Z 2020-06-08T00:00:00Z 2020-06-08T00:00:00Z
78 falcon autogen 78 2020-06-08T00:00:00Z 2020-06-15T00:00:00Z 2020-06-15T00:00:00Z
1.如何确定1个shardGroup蕴含几个shard?
// replicaN是创立RP时指定的正本数
shardN := len(data.DataNodes) / replicaN
若有3个数据节点,每个shard 2正本,那么每个shardGroup下只有3/2=1个shard;
2.写入时序数据时,先依据工夫确定存入哪个shardGroup,那如何确定数据放入哪个shard?
写入的时序数据,计算时序数据的hash,而后 hash % shardN后,决定放入哪个shard;
// HashID returns a non-cryptographic checksum of the point's key.
func (p *point) HashID() uint64 {
h := NewInlineFNV64a()
h.Write(p.key) //p.key是measurement+tags
sum := h.Sum64()
return sum
}
func (sgi *ShardGroupInfo) ShardFor(hash uint64) ShardInfo {
return sgi.Shards[hash%uint64(len(sgi.Shards))]
}
每个shard对应OS上的一个目录,目录名称是shardId,递增的整数:
/var/lib/influxdb/data/mydatabase/six_month # ls -alh
total 0
drwx------ 6 root root 42 Sep 6 08:00 .
drwx------ 4 root root 38 Sep 3 14:59 ..
drwxr-xr-x 3 root root 68 Sep 6 08:41 1
drwxr-xr-x 3 root root 68 Sep 3 16:48 3
drwxr-xr-x 3 root root 68 Sep 3 17:02 4
drwxr-xr-x 3 root root 68 Sep 15 09:59 6
shard所在目录:datapath/database/retentionPolicy/shardId
func (s *Store) CreateShard(database, retentionPolicy string, shardID uint64, enabled bool) error {
......
path := filepath.Join(s.path, database, retentionPolicy, strconv.FormatUint(shardID, 10))
shard := NewShard(shardID, path, walPath, sfile, opt)
......
}
3.默认shardGroupDuration的计算方法:
shardGroup duration若未指定,influxdb会依据duration计算一个,计算方法:
RP’s DURATION | shardGroup duration |
---|---|
<2day | 1h |
>=2day and <=6month | 1day |
>6month | 7day |
计算方法的实现代码:
// shardGroupDuration returns the duration for a shard group based on a policy duration.
func shardGroupDuration(d time.Duration) time.Duration {
if d >= 180*24*time.Hour || d == 0 { // 6 months or 0
return 7 * 24 * time.Hour
} else if d >= 2*24*time.Hour { // 2 days
return 1 * 24 * time.Hour
}
return 1 * time.Hour
}
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