sequins.conf.example

# This configuration file is in the toml format, which is defined here:
# https://github.com/toml-lang/toml

# Unless specified otherwise, the below values are the defaults.

source = "hdfs://namenode:8020/path/to/sequins"
# The url or directory where the sequencefiles are. This can be a local
# directory, an HDFS url of the form hdfs://<namenode>:<port>/path/to/stuff,
# or an S3 url of the form s3://<bucket>/path/to/stuff. This should be a
# a directory of directories of directories; each first level represents a
# 'database', and each subdirectory therein represents a 'version' of that
# database. See the README for more information. This must be set, but can be
# overriden from the command line with --source.

# bind = "0.0.0.0:9599"
# The address to bind on. This can be overridden from the command line with
# --bind.

# local_store = "/var/sequins/"
# This is where sequins will store its internal copy of all the data it ingests.
# This can be overriden from the command line with --local-store.

# max_parallel_loads = 4
# Unset by default. If this flag is set, sequins will only update this many
# databases at a time, minimizing disk usage while new data is being loaded. If
# you set this to 1, then loads will be completely serialized.

# throttle_loads = "800μs"
# Unset by default. If this flag is set, sequins will sleep this long between
# writes while loading data, artificially slowing down loads and reducing disk
# i/o. If you are using disks where the latency is extremely sensitive to
# activity, then loading large amounts of data can negatively impact your
# latency, and you may want to experiment with this setting.

# refresh_period = "10m"
# Unset by default. If this is specified, sequins will periodically download new
# data this often (in seconds). If you enable this, you should also enable
# 'require_success_file', or sequins may start automatically downloading a
# partially-created set of files.

# require_success_file = false
# If this flag is set, sequins will only ingest data from directories that have
# a _SUCCESS file (which is produced by hadoop when it completes a job).

# content_type = "application/json"
# Unset by default. If this is set, sequins will set this Content-Type header on
# responses.

[storage]

# compression = "snappy"
# This can be either 'snappy' or 'none', and defines how data is compressed
# on disk.

# block_size = 4096
# This controls the block size for on-disk compression.

[s3]

# region = "us-west-1"
# Unset by default. The S3 region for the bucket where your data is. If unset,
# and sequins is running on EC2, this will be set to the instance region.

# access_key_id = "AKIAIOSFODNN7EXAMPLE"
# secret_access_key = "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY"
# Unset by default. The access key and secret to use for S3. If unset, the env
# variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY will be used, or IAM
# instance role credentials if they are available.

[sharding]

# enabled = false
# If true, sequins will attempt to connect to zookeeper at the specified
# addresses (see below), and coordinate with peer instances to shard datasets.
# For a complete description of the sharding algorithm, see the manual.

# replication = 2
# This is the number of replicas responsible for each partition.

# time_to_converge = "10s"
# Upon startup, sequins will wait this long for the set of known peers to
# stabilize.

# proxy_timeout = "100ms"
# This is the total timeout (connect + request) for proxied requests to peers
# in a sequins cluster. You may want to increase this if you're running on
# particularly cold storage, or if there are other factors significantly
# increasing request time.

# proxy_stage_timeout = "50ms"
# Unset by default. After this interval, sequins will try another peer
# concurrently with the first, as long as there are other peers available and
# the total time is less than 'proxy_timeout'. If left unset, this defaults to
# the 'proxy_timeout' divided by 'replication_factor' - enough time for all
# peers to be tried within the total timeout.

# cluster_name = "sequins"
# This defines the root prefix to use for zookeeper state. If you are running
# multiple sequins clusters using the same zookeeper for coordination, you
# should change this so they can't conflict.

# advertised_hostname = "sequins1.example.com"
# Unset by default. This is the hostname sequins uses to advertise itself to
# peers in a cluster. It should be resolvable by those peers. If left unset, it
# will be set to the hostname of the server.

# shard_id = "sequins1"
# Unset by default. The shard ID is used to determine which partitions
# the node is responsible for. By default, it is the same as
# 'advertised_hostname'. Unlike the hostname, however, it doesn't have to be
# unique; two nodes can have the same shard_id, in which case they will download
# the same  partitions. This can be useful if you don't have stable hostnames,
# but want to be able to rebuild a server to take the place of a dead or
# decomissioning one.

[zk]

# servers = ["localhost:2181"]
# If set and 'sharding.enabled' is true, sequins will connect to zookeeper at
# the given addresses.

# connect_timeout = "1s"
# This specifies how long to wait while connecting to zookeeper.

# session_timeout = "10s"
# This specifies the session timeout to use with zookeeper. The
# actual timeout is negotiated between server and client, but will never be
# lower than this number.

[debug]

# bind = "localhost:6060"
# Unset by default. If set, binds the golang debug http server, which can serve
# expvars and profiling information, to the specified address.

# expvars = true
# If set, this adds expvars to the debug HTTP server, including the default ones
# and a few sequins-specific ones.

# pprof = false
# If set, this adds the default pprof handlers to the debug HTTP server.