es-copy-index.pl - Copy an index from one cluster to another
version 8.8
es-copy-access.pl [options] [query to select documents]
Options:
--source (Required) The source index name for the copy
--destination Destination index name, assumes source
--from (Required) A server in the cluster where the index lives
--to A server in the cluster where the index will be copied to
--block How many docs to process in one batch, default: 1,000
--mapping JSON mapping to use instead of the source mapping
--settings JSON index settings to use instead of those from the source
--append Instead of creating the index, add the documents to the destination
--help print help
--manual print full manual
From App::ElasticSearch::Utilities:
--local Use localhost as the elasticsearch host
--host ElasticSearch host to connect to
--port HTTP port for your cluster
--proto Defaults to 'http', can also be 'https'
--http-username HTTP Basic Auth username
--password-exec Script to run to get the users password
--insecure Don't verify TLS certificates
--cacert Specify the TLS CA file
--capath Specify the directory with TLS CAs
--cert Specify the path to the client certificate
--key Specify the path to the client private key file
--noop Any operations other than GET are disabled, can be negated with --no-noop
--timeout Timeout to ElasticSearch, default 10
--keep-proxy Do not remove any proxy settings from %ENV
--index Index to run commands against
--base For daily indexes, reference only those starting with "logstash"
(same as --pattern logstash-* or logstash-DATE)
--pattern Use a pattern to operate on the indexes
--days If using a pattern or base, how many days back to go, default: 1
See also the "CONNECTION ARGUMENTS" and "INDEX SELECTION ARGUMENTS" sections from App::ElasticSearch::Utilities.
From CLI::Helpers:
--data-file Path to a file to write lines tagged with 'data => 1'
--tags A comma separated list of tags to display
--color Boolean, enable/disable color, default use git settings
--verbose Incremental, increase verbosity (Alias is -v)
--debug Show developer output
--debug-class Show debug messages originating from a specific package, default: main
--quiet Show no output (for cron)
--syslog Generate messages to syslog as well
--syslog-facility Default "local0"
--syslog-tag The program name, default is the script name
--syslog-debug Enable debug messages to syslog if in use, default false
--nopaste Use App::Nopaste to paste output to configured paste service
--nopaste-public Defaults to false, specify to use public paste services
--nopaste-service Comma-separated App::Nopaste service, defaults to Shadowcat
This script allows you to copy data from one index to another on the same cluster or on a separate cluster. It handles index creation, either directly copying the mapping and settings from the source index or from mapping/settings JSON files.
This script could also be used to split up an index into smaller indexes for any number of reasons.
This uses the reindex API to copy data from one cluster to another
es-copy-index.pl - Copy an index from one cluster to another
-
from
REQUIRED: hostname or IP of the source cluster
-
to
Hostname or IP of the destination cluster, defaults to the same host unless otherwise specified.
-
source
REQUIRED: name of the source index for the copy
-
destination
Optional: change the name of the index on the destination cluster
-
block
Batch size of docs to process in one retrieval, default is 1,000
-
mapping
Path to a file containing JSON mapping to use on the destination index instead of the mapping directly from the source index.
-
settings
Path to a file containing JSON settings to use on the destination index instead of the settings directly from the source index.
-
append
This mode skips the index mapping and settings configuration and just being indexing documents from the source into the destination.
-
help
Print this message and exit
-
manual
Print detailed help with examples
es-copy-index.pl --from localhost --to remote.cluster.com --source logstash-2013.01.11
es-copy-index.pl --from localhost --source logstash-2013.01.11 --destination logs-2013.01.11
es-copy-index.pl --from localhost \
--source logstash-2013.01.11 \
--destination secure-2013.01.11 \
category:'(authentication authorization)'
es-copy-index.pl --from localhost \
--source logstash-2013.01.11 \
--destination testing-new-settings-old-data-2013.01.11 \
--settings new_settings.json \
--mappings new_mappings.json
Let's say we were investigating an incident and wanted to have an index that contained the data we were interested in. We could use different retention rules for incident indexes and we could arbitrarily add data to them based on searches being performed on the source index.
Here's our initial query, a bad actor on our admin login page.
es-copy-index.pl --from localhost \
--source logstash-2013.01.11 \
--destination incident-rt1234-2013.01.11 \
src_ip:1.2.3.4 dst:admin.exmaple.com and file:'\/login.php'
Later on, we discover there was another actor:
es-copy-index.pl --from localhost \
--source logstash-2013.01.11 \
--destination incident-rt1234-2013.01.11 \
--append \
src_ip:4.3.2.1 dst:admin.exmaple.com and file:'\/login.php'
The incident-rt1234-2013.01.11 index will now hold all the data from both of those queries.
The search string is pre-analyzed before being sent to ElasticSearch. The following plugins work to manipulate the query string and provide richer, more complete syntax for CLI applications.
The following barewords are transformed:
or => OR
and => AND
not => NOT
Provides field prefixes to manipulate the text search capabilities.
Provide an '=' prefix to a query string parameter to promote that parameter to a term
filter.
This allows for exact matches of a field without worrying about escaping Lucene special character filters.
E.g.:
user_agent:"Mozilla/5.0 (iPhone; CPU iPhone OS 12_1_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148 Safari/604.1"
Is evaluated into a weird query that doesn't do what you want. However:
=user_agent:"Mozilla/5.0 (iPhone; CPU iPhone OS 12_1_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148 Safari/604.1"
Is translated into:
{ term => { user_agent => "Mozilla/5.0 (iPhone; CPU iPhone OS 12_1_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148 Safari/604.1" } }
Provide an '*' prefix to a query string parameter to promote that parameter to a wildcard
filter.
This uses the wild card match for text fields to making matching more intuitive.
E.g.:
*user_agent:"Mozilla*"
Is translated into:
{ wildcard => { user_agent => "Mozilla* } }
Provide an '/' prefix to a query string parameter to promote that parameter to a regexp
filter.
If you want to use regexp matching for finding data, you can use:
/message:'\\bden(ial|ied|y)'
Is translated into:
{ regexp => { message => "\\bden(ial|ied|y)" } }
Provide an '~' prefix to a query string parameter to promote that parameter to a fuzzy
filter.
~message:deny
Is translated into:
{ fuzzy => { message => "deny" } }
Provide an '+' prefix to a query string parameter to promote that parameter to a match_phrase
filter.
+message:"login denied"
Is translated into:
{ match_phrase => { message => "login denied" } }
If the field meta data is provided and the field is a text
type, the query
will automatically be mapped to a match
query.
# message field is text
message:"foo"
Is translated into:
{ match => { message => "foo" } }
If a field is an IP address uses CIDR Notation, it's expanded to a range query.
src_ip:10.0/8 => src_ip:[10.0.0.0 TO 10.255.255.255]
This plugin translates some special comparison operators so you don't need to remember them anymore.
Example:
price:<100
Will translate into a:
{ range: { price: { lt: 100 } } }
And:
price:>50,<100
Will translate to:
{ range: { price: { gt: 50, lt: 100 } } }
gt via >, gte via >=, lt via <, lte via <=
This plugin translates some special underscore surrounded tokens into the Elasticsearch Query DSL.
Implemented:
Example query string:
_prefix_:useragent:'Go '
Translates into:
{ prefix => { useragent => 'Go ' } }
If the match ends in .dat, .txt, .csv, or .json then we attempt to read a file with that name and OR the condition:
$ cat test.dat
50 1.2.3.4
40 1.2.3.5
30 1.2.3.6
20 1.2.3.7
Or
$ cat test.csv
50,1.2.3.4
40,1.2.3.5
30,1.2.3.6
20,1.2.3.7
Or
$ cat test.txt
1.2.3.4
1.2.3.5
1.2.3.6
1.2.3.7
Or
$ cat test.json
{ "ip": "1.2.3.4" }
{ "ip": "1.2.3.5" }
{ "ip": "1.2.3.6" }
{ "ip": "1.2.3.7" }
We can source that file:
src_ip:test.dat => src_ip:(1.2.3.4 1.2.3.5 1.2.3.6 1.2.3.7)
src_ip:test.json[ip] => src_ip:(1.2.3.4 1.2.3.5 1.2.3.6 1.2.3.7)
This make it simple to use the --data-file output options and build queries based off previous queries. For .txt and .dat file, the delimiter for columns in the file must be either a tab or a null. For files ending in .csv, Text::CSV_XS is used to accurate parsing of the file format. Files ending in .json are considered to be newline-delimited JSON.
You can also specify the column of the data file to use, the default being the last column or (-1). Columns are zero-based indexing. This means the first column is index 0, second is 1, .. The previous example can be rewritten as:
src_ip:test.dat[1]
or: src_ip:test.dat[-1]
For newline delimited JSON files, you need to specify the key path you want to extract from the file. If we have a JSON source file with:
{ "first": { "second": { "third": [ "bob", "alice" ] } } }
{ "first": { "second": { "third": "ginger" } } }
{ "first": { "second": { "nope": "fred" } } }
We could search using:
actor:test.json[first.second.third]
Which would expand to:
{ "terms": { "actor": [ "alice", "bob", "ginger" ] } }
This option will iterate through the whole file and unique the elements of the list. They will then be transformed into an appropriate terms query.
We can also have a group of wildcard or regexp in a file:
$ cat wildcards.dat
*@gmail.com
*@yahoo.com
To enable wildcard parsing, prefix the filename with a *
.
es-search.pl to_address:*wildcards.dat
Which expands the query to:
{
"bool": {
"minimum_should_match":1,
"should": [
{"wildcard":{"to_outbound":{"value":"*@gmail.com"}}},
{"wildcard":{"to_outbound":{"value":"*@yahoo.com"}}}
]
}
}
No attempt is made to verify or validate the wildcard patterns.
If you'd like to specify a file full of regexp, you can do that as well:
$ cat regexp.dat
.*google\.com$
.*yahoo\.com$
To enable regexp parsing, prefix the filename with a ~
.
es-search.pl to_address:~regexp.dat
Which expands the query to:
{
"bool": {
"minimum_should_match":1,
"should": [
{"regexp":{"to_outbound":{"value":".*google\\.com$"}}},
{"regexp":{"to_outbound":{"value":".*yahoo\\.com$"}}}
]
}
}
No attempt is made to verify or validate the regexp expressions.
Implement the proposed nested query syntax early. Example:
nested_path:"field:match AND string"
Brad Lhotsky brad@divisionbyzero.net
This software is Copyright (c) 2024 by Brad Lhotsky.
This is free software, licensed under:
The (three-clause) BSD License