125 lines
5.1 KiB
TOML
125 lines
5.1 KiB
TOML
# Welcome to the InfluxDB configuration file.
|
|
|
|
# If hostname (on the OS) doesn't return a name that can be resolved by the other
|
|
# systems in the cluster, you'll have to set the hostname to an IP or something
|
|
# that can be resovled here.
|
|
hostname = "localhost"
|
|
|
|
reporting-disabled = true
|
|
|
|
[logging]
|
|
# logging level can be one of "debug", "info", "warn" or "error"
|
|
level = "info"
|
|
file = "stdout"
|
|
|
|
# Configure the admin server
|
|
[admin]
|
|
port = 60505
|
|
assets = "./admin"
|
|
|
|
# Configure the http api
|
|
[api]
|
|
port = 60506
|
|
|
|
# Raft configuration
|
|
[raft]
|
|
# The raft port should be open between all servers in a cluster.
|
|
# However, this port shouldn't be accessible from the internet.
|
|
|
|
port = 60507
|
|
|
|
# Where the raft logs are stored. The user running InfluxDB will need read/write access.
|
|
dir = "/tmp/influxdb/test/2/raft"
|
|
|
|
[storage]
|
|
|
|
# The server will check this often for shards that have expired and should be cleared.
|
|
retention-sweep-period = "10s"
|
|
|
|
dir = "/tmp/influxdb/test/2/db"
|
|
|
|
[cluster]
|
|
# A comma separated list of servers to seed
|
|
# this server. this is only relevant when the
|
|
# server is joining a new cluster. Otherwise
|
|
# the server will use the list of known servers
|
|
# prior to shutting down. Any server can be pointed to
|
|
# as a seed. It will find the Raft leader automatically.
|
|
|
|
# Here's an example. Note that the port on the host is the same as the raft port.
|
|
seed-servers = ["localhost:60501"]
|
|
|
|
# Replication happens over a TCP connection with a Protobuf protocol.
|
|
# This port should be reachable between all servers in a cluster.
|
|
# However, this port shouldn't be accessible from the internet.
|
|
|
|
protobuf_port = 60508
|
|
protobuf_timeout = "1200ms" # the write timeout on the protobuf conn any duration parseable by time.ParseDuration
|
|
protobuf_heartbeat = "100ms" # the heartbeat interval between the servers. must be parseable by time.ParseDuration
|
|
protobuf_min_backoff = "100ms" # the minimum backoff after a failed heartbeat attempt
|
|
protobuf_max_backoff = "100ms" # the maxmimum backoff after a failed heartbeat attempt
|
|
|
|
# How many write requests to potentially buffer in memory per server. If the buffer gets filled then writes
|
|
# will still be logged and once the server has caught up (or come back online) the writes
|
|
# will be replayed from the WAL
|
|
write-buffer-size = 1000
|
|
|
|
# When queries get distributed out, the go in parallel. However, the responses must be sent in time order.
|
|
# This setting determines how many responses can be buffered in memory per shard before data starts gettind dropped.
|
|
query-shard-buffer-size = 500
|
|
|
|
# These options specify how data is sharded across the cluster. There are two
|
|
# shard configurations that have the same knobs: short term and long term.
|
|
# Any series that begins with a capital letter like Exceptions will be written
|
|
# into the long term storage. Any series beginning with a lower case letter
|
|
# like exceptions will be written into short term. The idea being that you
|
|
# can write high precision data into short term and drop it after a couple
|
|
# of days. Meanwhile, continuous queries can run downsampling on the short term
|
|
# data and write into the long term area.
|
|
[sharding]
|
|
# how many servers in the cluster should have a copy of each shard.
|
|
# this will give you high availability and scalability on queries
|
|
replication-factor = 1
|
|
|
|
[sharding.short-term]
|
|
# each shard will have this period of time. Note that it's best to have
|
|
# group by time() intervals on all queries be < than this setting. If they are
|
|
# then the aggregate is calculated locally. Otherwise, all that data gets sent
|
|
# over the network when doing a query.
|
|
duration = "1h"
|
|
|
|
# split will determine how many shards to split each duration into. For example,
|
|
# if we created a shard for 2014-02-10 and split was set to 2. Then two shards
|
|
# would be created that have the data for 2014-02-10. By default, data will
|
|
# be split into those two shards deterministically by hashing the (database, serise)
|
|
# tuple. That means that data for a given series will be written to a single shard
|
|
# making querying efficient. That can be overridden with the next option.
|
|
split = 1
|
|
|
|
# You can override the split behavior to have the data for series that match a
|
|
# given regex be randomly distributed across the shards for a given interval.
|
|
# You can use this if you have a hot spot for a given time series writing more
|
|
# data than a single server can handle. Most people won't have to resort to this
|
|
# option. Also note that using this option means that queries will have to send
|
|
# all data over the network so they won't be as efficient.
|
|
# split-random = "/^hf.*/"
|
|
|
|
[sharding.long-term]
|
|
duration = "24h"
|
|
split = 1
|
|
# split-random = "/^Hf.*/"
|
|
|
|
[wal]
|
|
|
|
dir = "/tmp/influxdb/test/2/wal"
|
|
flush-after = 0 # the number of writes after which wal will be flushed, 0 for flushing on every write
|
|
bookmark-after = 0 # the number of writes after which a bookmark will be created
|
|
|
|
# the number of writes after which an index entry is created pointing
|
|
# to the offset of the first request, default to 1k
|
|
index-after = 1000
|
|
|
|
# the number of requests per one log file, if new requests came in a
|
|
# new log file will be created
|
|
requests-per-logfile = 10000
|