是否可以在logstash中执行类似python的脚本?我可以使用logstash将csv数据导入elasticsearch。但我需要使用更新 API,而不是简单地索引所有行。
这是我的示例 csv 文件...
vi /tmp/head.txt
"Home","Home-66497273a5a83c99","Spice Xlife 350, 3.5inch Android, bit.ly/1VSZj","919359000000","HMSHOP","916265100000","2016-05-18 08:41:49"
"Home","Home-26497273a5a83c99","Spice Xlife 350, 3.5inch Android, bit.ly/1V1","919359000001","HMSHOP","916265100000","2016-05-18 18:41:49"
"Home","Home-36497273a5a83c99","Spice Xlife 350, 3.5inch Android, bit.ly/SZj1","919359000001","HMSHOP","916265100000","2016-05-18 12:41:49"
"Home","Home-46497273a5a83c99","Spice Xlife 350, 3.5inch Android, bit.ly/1","919359000000","HMSHOP","916265100000","2016-05-18 14:41:49"
"Home","Home-56497273a5a83c99","Spice Xlife 350, 3.5inch Android, bit.ly/1VSZj1xc","919359000000","HMSHOP","916265100000","2016-05-18 16:41:49"
这是logstash 配置文件...
vi logstash.conf
input {
file {
path => "/tmp/head.txt"
type => "csv"
start_position => beginning
}
}
filter {
csv {
columns => ["user", "messageid", "message", "destination", "code", "mobile", "mytimestamp"]
separator => ","
}
}
output {
elasticsearch {
action => "index"
hosts => ["172.17.0.1"]
index => "logstash-%{+YYYY.MM.dd}"
workers => 1
}
}
我已确认上述配置按预期工作,并且所有 5 条记录都存储为 5 个单独的文档。
这是我的 docker 命令...
docker run -d -v "/tmp/logstash.conf":/usr/local/logstash/config/logstash.conf -v /tmp/:/tmp/ logstash -f /usr/local/logstash/config/logstash.conf
问题是我需要根据目的地号码合并文档。目的地应该是文档的 ID。有些行具有相同的目的地。例如_id: 919359000001 该文档应具有以下两个记录作为嵌套对象。
"user": "Home", "messageid": "Home-26497273a5a83c99", "message": "Spice Xlife 350, 3.5inch Android, bit.ly/1V1", "code": "HMSHOP", "mobile": "916265100000", "mytimestamp" : "2016-05-18 18:41:49"
"user": "Home", "messageid" "Home-36497273a5a83c99", "message": "Spice Xlife 350, 3.5inch Android, bit.ly/SZj1", "code": "HMSHOP", "mobile": "916265100000", "mytimestamp": "2016-05-18 12:41:49"
Elasticsearch 正确地将 csv 数据转换为 json,如上所示。我需要的是重新格式化语句以利用使用更新 API 的脚本 以下代码可以正常运行。
POST /test_index/doc/_bulk
{ "update" : { "_id" : "919359000001"} }
{ "script" : { "inline": "ctx._source.parent += ['user': user, 'messageid': messageid, 'message': message, 'code': code, 'mobile': mobile, 'mytimestamp': mytimestamp]", "lang" : "groovy", "params" : {"user": "Home", "messageid": "Home-26497273a5a83c99", "message": "Spice Xlife 350, 3.5inch Android, bit.ly/1V1", "code": "HMSHOP", "mobile": "916265100000", "mytimestamp" : "2016-05-18 18:41:49"}}, "upsert": {"parent" : [{"user": "Home", "messageid": "Home-26497273a5a83c99", "message": "Spice Xlife 350, 3.5inch Android, bit.ly/1V1", "code": "HMSHOP", "mobile": "916265100000", "mytimestamp" : "2016-05-18 18:41:49"}] }}
{ "update" : { "_id" : "919359000001"} }
{ "script" : { "inline": "ctx._source.parent += ['user': user, 'messageid': messageid, 'message': message, 'code': code, 'mobile': mobile, 'mytimestamp': mytimestamp]", "lang" : "groovy", "params" : {"user": "Home", "messageid": "Home-36497273a5a83c99", "message": "Spice Xlife 350, 3.5inch Android, bit.ly/1V13343", "code": "HMSHOP", "mobile": "916265100000", "mytimestamp" : "2016-05-18 12:41:49"}}, "upsert": {"parent" : [{"user": "Home", "messageid": "Home-36497273a5a83c99", "message": "Spice Xlife 350, 3.5inch Android, bit.ly/1V13343", "code": "HMSHOP", "mobile": "916265100000", "mytimestamp" : "2016-05-18 12:41:49"}] }}
如何在logstash 中编码以将我的csv 数据转换为如上所示?
更新
我有按预期工作的 python 代码。我想知道如何修改此代码以适应根据答案建议的“输出”参数。 在下面的示例中,df_json 是一个 python 对象,只不过是扁平化为 json 的 python 数据帧。
import copy
with open('myfile.txt', 'w') as f:
for doc1 in df_json:
import json
doc = mydict(doc1)
docnew = copy.deepcopy(doc)
del docnew['destination']
action = '{ "update": {"_id": %s }}\n' % doc['destination']
f.write(action)
entry = '{ "script" : { "inline": "ctx._source.parent += [\'user\': user, \'messageid\': messageid, \'message\': message, \'code\': code, \'mobile\': mobile, \'mytimestamp\': mytimestamp]", "lang" : "groovy", "params" : %s}, "upsert": {"parent" : [%s ] }}\n' % (doc, docnew)
f.write(entry)
! curl -s -XPOST XXX.xx.xx.x:9200/test_index222/doc/_bulk --data-binary @myfile.txt; echo
更新2
我尝试了以下配置,它正在替换(不按脚本更新)文档。
output {
elasticsearch {
action => "index"
hosts => ["172.17.0.1"]
document_id => "%{destination}"
index => "logstash3-%{+YYYY.MM.dd}"
workers => 1
script => "ctx._source.parent += ['user': user, 'messageid': messageid, 'message': message, 'code': code, 'mobile': mobile, 'mytimestamp': mytimestamp]"
script_type => "inline"
script_lang => "groovy"
scripted_upsert => "true"
}
}
当我将操作更改为“更新”时,出现以下错误...
:response=>{"update"=>{"_index"=>"logstash4-2016.07.29", "_type"=>"csv", "_id"=>"919359000000",
"status"=>400, "error"=>{"type"=>"illegal_argument_exception", "reason"=>"failed to execute script",
"caused_by"=>{"type"=>"script_exception", "reason"=>"failed to run in line script
[ctx._source.parent += ['user': user, 'messageid': messageid, 'message': message, 'code': code, 'mobile': mobile, 'mytimestamp': mytimestamp]]
using lang [groovy]", "caused_by"=>{"type"=>"missing_property_exception", "reason"=>"No such property: user for class: fe1b423dc4966b0f0b511b732474637705bf3bb1"}}}}}, :level=>:warn}
更新3
根据 Val 的回答,我添加了事件,但收到此错误...
:response=>{"update"=>{"_index"=>"logstash4-2016.08.06", "_type"=>"csv", "_id"=>"%{destination}", "status"=>400, "error"=>{"type"=>"illegal_argument_exception", "reason"=>"failed to execute script", "caused_by"=>{"type"=>"script_exception", "reason"=>"failed to run inline script [ctx._source.parent += ['user': event.user, 'messageid': event.messageid, 'message': event.message, 'code': event.code, 'mobile': event.mobile, 'mytimestamp': event.mytimestamp]] using lang [groovy]", "caused_by"=>{"type"=>"null_pointer_exception", "reason"=>"Cannot execute null+{user=null, messageid=null, message=, code=null, mobile=null, mytimestamp=null}"}}}}}
更新4
根据 Val 的更新答案,我尝试了这个......
script => "ctx._source.parent = (ctx._source.parent ?: []) + ['user': event.user, 'messageid': event.messageid, 'message': event.message, 'code': event.code, 'mobile': event.mobile, 'mytimestamp': event.mytimestamp]"
并收到此错误:
{:timestamp=>"2016-08-12T09:40:48.869000+0000", :message=>"Pipeline main started"}
{:timestamp=>"2016-08-12T09:40:49.517000+0000", :message=>"Error parsing csv", :field=>"message", :source=>"", :exception=>#<NoMethodError: undefined method `each_index' for nil:NilClass>, :level=>:warn}
数据库中只添加了 2 条记录。
elasticsearch
输出插件支持脚本参数:
output {
elasticsearch {
action => "update"
hosts => ["172.17.0.1"]
index => "logstash-%{+YYYY.MM.dd}"
workers => 1
script => "<your script here>"
script_type => "inline"
# Set the language of the used script
# script_lang =>
# if enabled, script is in charge of creating non-existent document (scripted update)
# scripted_upsert => (default is false)
}
}
使用
event
变量名称将事件传递到输出中的脚本(默认情况下,但您可以使用 script_var_name
设置更改它)。
因此输出中的脚本需要考虑到它。
script => "ctx._source.parent = (ctx._source.parent ?: []) + ['user': event.user, 'messageid': event.messageid, 'message': event.message, 'code': event.code, 'mobile': event.mobile, 'mytimestamp': event.mytimestamp]"
既然你有可用的 python 脚本,也许这会有用? https://www.elastic.co/guide/en/elasticsearch/plugins/current/lang-python.html
关于更新 nr 2 - 我认为可以通过首先检查文档是否有给定字段(在本例中是用户)来修复错误。
在那里不可能使用某些Python脚本: