Amazon Redshift output plugin for Fluentd
Overview
Amazon Redshift output plugin uploads event logs to an Amazon Redshift Cluster. Supported data formats are csv, tsv and json. An S3 bucket and a Redshift Cluster are required to use this plugin. Forked from fluent-plugin-redshift, and re-implemented with aws-sdk-v2 and fluentd 0.14.
Installation
fluent-gem install fluent-plugin-redshift-v2
Configuration
Format:
<match my.tag>
type redshift_v2
# s3 (for copying data to redshift)
aws_key_id YOUR_AWS_KEY_ID
aws_sec_key YOUR_AWS_SECRET_KEY
## or Use IAM Role instead of credentials.
aws_iam_role arn:aws:iam::ACCOUNT_ID:role/ROLE_NAME
s3_bucket YOUR_S3_BUCKET
s3_endpoint YOUR_S3_BUCKET_END_POINT
path YOUR_S3_PATH
timestamp_key_format year=%Y/month=%m/day=%d/hour=%H/%Y%m%d-%H%M
s3_server_side_encryption S3_SERVER_SIDE_ENCRYPTION
# redshift
redshift_host YOUR_AMAZON_REDSHIFT_CLUSTER_END_POINT
redshift_port YOUR_AMAZON_REDSHIFT_CLUSTER_PORT
redshift_dbname YOUR_AMAZON_REDSHIFT_CLUSTER_DATABASE_NAME
redshift_user YOUR_AMAZON_REDSHIFT_CLUSTER_USER_NAME
redshift_password YOUR_AMAZON_REDSHIFT_CLUSTER_PASSWORD
redshift_schemaname YOUR_AMAZON_REDSHIFT_CLUSTER_TARGET_SCHEMA_NAME
redshift_tablename YOUR_AMAZON_REDSHIFT_CLUSTER_TARGET_TABLE_NAME
redshift_copy_columns COLMUNS_FOR_COPY
file_type [tsv|csv|json|msgpack]
# buffer
buffer_type file
buffer_path /var/log/fluent/redshift
flush_interval 15m
retry_wait 30s
retry_limit 5
buffer_chunk_limit 1g
buffer_queue_limit 100
flush_at_shutdown true
num_threads 4
</match>
-
type
(required) : The value must beredshift_v2
. -
aws_key_id
: AWS access key id to access s3 bucket. -
aws_sec_key
: AWS secret key id to access s3 bucket. -
aws_iam_role
: AWS IAM Role name to access s3 bucket and copy into redshift. -
s3_bucket
(required) : s3 bucket name. S3 bucket must be same as the region of your Redshift cluster. -
s3_endpoint
: s3 endpoint. -
path
(required) : s3 path to input. -
timestamp_key_format
: The format of the object keys. It can include date-format directives.- Default parameter is "year=%Y/month=%m/day=%d/hour=%H/%Y%m%d-%H%M"
- For example, the s3 path is as following with the above example configration.
logs/example/year=2013/month=03/day=05/hour=12/20130305_1215_00.gz logs/example/year=2013/month=03/day=05/hour=12/20130305_1230_00.gz
-
s3_server_side_encryption
: S3 Server-Side Encryption (Only aes256 is supported) -
redshift_host
(required) : the end point(or hostname) of your Amazon Redshift cluster. -
redshift_port
(required) : port number. -
redshift_dbname
(required) : database name. -
redshift_user
(required) : user name. -
redshift_password
(required) : password for the user name. -
redshift_tablename
(required) : table name to store data. -
redshift_schemaname
: schema name to store data. By default, this option is not set and find table without schema as your own search_path. -
redshift_connect_timeout
: maximum time to wait for connection to succeed. -
redshift_copy_columns
: columns for copying. Value needs to be comma-separated likeid,name,age
-
file_type
: file format of the source data.csv
,tsv
,msgpack
orjson
are available. -
delimiter
: delimiter of the source data. This option will be ignored iffile_type
is specified. -
buffer_type
: buffer type. -
buffer_path
: path prefix of the files to buffer logs. -
flush_interval
: flush interval. -
buffer_chunk_limit
: limit buffer size to chunk. -
buffer_queue_limit
: limit buffer files to chunk. -
num_threads
: number of threads to load data to redshift. -
utc
: utc time zone. This parameter affectstimestamp_key_format
.
and standard buffered output options. (see https://docs.fluentd.org/v0.14/articles/buffer-plugin-overview)
Logging examples
# examples by fluent-logger
require 'fluent-logger'
log = Fluent::Logger::FluentLogger.new(nil, host: 'localhost', port: 24224)
# file_type: csv
log.post('your.tag', log: "12345,12345")
# file_type: tsv
log.post('your.tag', log: "12345\t12345")
# file_type: json
require 'json'
log.post('your.tag', { user_id: 12345, data_id: 12345 }.to_json)
# file_type: msgpack
log.post('your.tag', user_id: 12345, data_id: 12345)