It takes an existing field which contains JSON and expands it into an actual data structure within the Logstash event. Values true, false and null are returned as TRUE, FALSE and NULL respectively. type HookSpec struct { // Name is an optional name for the hook, otherwise the name is kops-hook- Name string `json:"name,omitempty"` // Disabled indicates if you want the unit switched off Disabled bool `json:"disabled,omitempty"` // Roles is an optional list of roles the hook should be rolled out to, defaults to all Roles. May 8, 2017. In this hands-on, we will learn how to use a JSON Java API, present in Java EE 7. response_time:101, it's not possible. It is used to convert multiline logging data into a. parse (source)) # If no target, we target the root of the. Loading CSV files from Cloud Storage. Below are basic configuration for Logstash to consume messages from Logstash. What I have is a log file containing multiple entries which is of the form. The first one is a MongoDB output with t he entire JSO. to_json # Convert hashes to json else value # otherwise return the value end end end end # tags ⇒ Object def tags. This post is older than a year. Fields cannot be contained in a JSON array. Example {a:[11,22,33]} gives you a = [11,22, …. You can configure a parent - child relationship for nested results. Tagalog includes tools that •tag each log line with an accurate timestamp •convert log lines intoLogstash-compatible JSON documents. The authors provide their own solution, called the Merki Medication Parser. Here, the terms "first" and "second" refer to the order in which Transaction Analysis Workbench writes these fields to an output file or stream. 2, when the filter-stage threads were built to handle the output stage. Kafka Input Configuration in Logstash. elasticsearch - Parse nested json in logstash. The structure is separated with , and this makes logstash to refuse parsing the data. NB: logstash will run as the logstash user, not root, so by default it can NOT bind to ports lower than 1024. By default, these Terraform creates a VPC with 3 AZs with public/private subnet for each AZ. I Am familiar with Grok and Regexes , I Have the following Logstash Conf file : Basically it uses the IMAP Plugin in order to read Emails that are sent into the mailbox , As you can see - it tries to parse out (grok) a specific data from the email in order to parse the JSON Part. You received this message because you are subscribed to the Google Groups "elasticsearch" group. Jenkins Job Builder will mimic that feature to ensure clean configuration diff. Asciinema: Record and share your terminal session golang 2. Logstash works out of the box with structured JSON objects, so it's ideal for Nginx to parse the upstream response's HTTP headers and log the data in a JSON format. Enter your email address to follow this blog and receive notifications of our new posts by email. Consider some information might not be accurate anymore. Related plug-ins: file and csv. The following code examples show how to use play. Why not match it into one string and use the logstash json{} parser to create a real. Create a configuration file in the conf directory and restart Logstash to apply the file. But it's a last resort, and for the task at hand it should be relatively easy. You can use it to collect logs, parse them, and store them for later use. Introduction to Logstash Grok Patterns The array of callIds looks like JSON. tags => json # parse JSON in "message" field,. rb in logstash located at /lib/logstash/inputs. All metrics are gathered from the # declared inputs, and sent to the declared outputs. # Enabling 'rubydebug' codec on the stdout output will make logstash # pretty-print the entire event as something similar to a JSON representation. After capturing, Logstash can parse and transform the data into meaningful information as required by the user. Importing JSON data to Elasticsearch appbaseio. However, even with Dnsmasq, the number of RPC request still the same. Fluentd has standard built-in parsers such as json, regex, csv, syslog, apache, nginx etc as well as third party parsers like grok to parse the. Configuring Logstash. devops • elasticsearch • java • kibana • log4j • logstash • maven • monitoring • operations • software • Spring. What this means is that in JavaScript and when working with the DOM, you will get Arrays and NodeLists. Logstash filter parse json file result a double fields. Logstash is able to parse logs using grok filters. GitHub Gist: instantly share code, notes, and snippets. Logstash filter parse json file result a double fields. Elastic Search, Logstash & Kibana: this is nosql database, where we store the data into elastic search as indices, this data can easily be indexed quickly and can also be visualized on Kibana as. json,python-2. In where I begin to grok how to mutate a file with Logstash After scratching the surface of Logstash (and my head) I wanted to understand a bit better how Logstash' filters work, so I set myself the task of parsing a file with a file input and using some of the filters to grab bits and pieces of it for further processing. i have following js fiddle sending request json/echo , i use logstash collect logs other component in project. logstash filter 处理json的更多相关文章. Azure Logic Apps - Aggregate a value from an array of messages This is a note to myself. The logstash. Therefore, we are configuring the csv filter. Why aren't you simply using the built-in time filter instead, you can achieve exactly what you want. When you process a field through the json filter it will look for field names and corresponding values. The JSON is one single hash with the key “Records” pointing to a hash with the single key “message” containing an array where each element represents one API event. 0 now has shutdown improvements and the ability to install plugins offline. Now you can run the Logstash using. In your example, you have done that with this part: filter { json { source => "message" Then you have added a. NB: logstash will run as the logstash user, not root, so by default it can NOT bind to ports lower than 1024. Gliffy Diagrams. Now as we have logstash reading the file, Logstash needs to know what to do with the data. We will be using the logstash-logback-encoder encoder from Logstash. Importing CSV into Elasticsearch using Logstash is a pretty simple and straightforward task, but several aspects of this. There is only one job array per JSON file then couple name/build with build that is an array:. JSON Array in Javascript Urdu By Afnan Yousuf Faculty Aptech Metro Star Gate json path, json tutorial, json file, json parse, json in hindi, json python, json web token, json android, json api. Logs are one of the most useful things when it comes to analysis; in simple terms Log analysis is making sense out of system/app-generated log messages (or just LOGS). Execute Raw Elasticsearch Query using Transport Client - Java API Leave a reply The following sample program details on how to execute raw Elasticsearch query using Transport Client (Java API). Step 2: Since we store the Json data into log files, we may see the special character ( // ), To remove and clean the JSON we need to write the Pig Script to parse and clean the json. metrics and _source in kibana/ES. It is fully free and fully open source. how do i tell logstash to parse the events inside the vulnerabilities array and to ignore the commas at the end of the line?. One of the best feature it has is, you can read the logs in certain format (e. For custom logs, for which you would have to write your own parser, you should use Logstash and grok. This post is older than a year. The Icinga 2 API returns the package name this stage was created for, and also generates a unique name for the stage attribute you’ll need for later requests. We will be using the logstash-logback-encoder encoder from Logstash. The file is split into four parts: variables, builders, provisioners, and outputs. I think you have misunderstood what the json filter does. I read in some of the forums and in Azure Logic Apps user voice where people have asked for how to aggregate a value from an array of messages into a single message. Bubbles supports JSON Lines datastores. One of Logstash's main uses is to index documents in data stores that require structured information, most commonly Elasticsearch. Logstash GELF input with TCP support added. What I have is a log file containing multiple entries which is of the form. Use Logstash to load CSV into Elasticsearch - Duration: Parsing and Enriching Logs Using Logstash | packtpub. As i told before, its a good thing that cloudtrail stores logs in JSON format, because can take JSON data from a file quite nicely and feed it to elasticsearch. It executes a command for a defined interval. I'm building a data pipeline using. conf file in the TL;DR section. Log Aggregation with Log4j, Spring, and Logstash. Logstash’s role in the ELK stack is to take arbitrary data, such as its namesake, a log file, and parse it into a format that Elasticsearch will be happy to accept. The syntax is pretty simple. Json - convert json string to an object (so it will be parsed as object in elasticsearch). 11: json_lines. Tshark is the terminal version of the packet capture application Wireshark. when Array value. Logstash works out of the box with structured JSON objects, so it's ideal for Nginx to parse the upstream response's HTTP headers and log the data in a JSON format. So, You Want to Make a Logstash Plugin. I Am familiar with Grok and Regexes , I Have the following Logstash Conf file : Basically it uses the IMAP Plugin in order to read Emails that are sent into the mailbox , As you can see - it tries to parse out (grok) a specific data from the email in order to parse the JSON Part. Often we might want to store the spark Data frame as the table and query it, to convert Data frame into temporary view that is available for only that spark session, we use registerTempTable or CreateOrReplaceTempView (Spark > = 2. 1 grok parse failure. Parsing json from syslog entries with logstash June 24, 2015 Graham Hay A consequence of moving to Debian 8 (and hence systemd), is that all our log data now goes to syslog. Transforming and sending Nginx log data to Elasticsearch using Filebeat and Logstash - Part 1 Daniel Romić on 29 Jan 2018 In our first blog post we covered the need to track, aggregate, enrich and visualize logged data as well as several software solutions that are made primarily for this purpose. Centralized Log analysis (Real Time) & Logging in JSON - PART 1. To make it easy, I will use NXLog to pre-format them in to JSON. Logging with Nginx and Lua. To make it easy, I will use NXLog to pre-format them in to JSON. If someone needs this, we can fix it # later. Possibilities are infinite. Some applications let you configure the log format, so you can make them write JSON ( Apache httpd, for example ). This post is older than a year. I have been trying to pass logs from a windows application which are already formatted in JSON to logstash via NXlog. A while back, we posted a quick blog on how to parse csv files with Logstash, so I'd like to provide the ingest pipeline version of that for comparison's sake. 04/Debian 9. For more information on Kibana here is a nice article KIBANA SEARCH. merge!(JSON. NB: logstash will run as the logstash user, not root, so by default it can NOT bind to ports lower than 1024. Elastic Search, Logstash & Kibana: this is nosql database, where we store the data into elastic search as indices, this data can easily be indexed quickly and can also be visualized on Kibana as. But it's faster and smaller. For example, if you send, "Hello world", in a string to Logstash, you will receive a JSON output. Logstash Configuration & Quick Example. Tagalog Documentation, Release 0. Logstash - remove deep field from json file logstash,logstash-grok,logstash-configuration I have json file that i'm sending to ES through logstash. In case you need to have a more control of how your object is being serialized this post covers creation of custom json converter. How to convert Java object to / from JSON by (GSON) How to do JSON pretty formatting and Null Serialization (GSON/GsonBuilder). It lets you exchange data among multiple languages like JSON. Logstash, File Input, CSV Filter and Elasticsearch Output August 19, 2017 Saurabh Gupta Leave a comment Logstash, File Input Plugin, CSV Filter and Elasticsearch Output Plugin Example will read data from CSV file, Logstash will parse this data and store in Elasticsearch. Logstash can take input from Kafka to parse data and send parsed output to Kafka for streaming to other Application. The 'timestamp' is an ISO8601 timestamp. Dive into file-writing in Golang Golang Cross Compiling. One of the best feature it has is, you can read the logs in certain format (e. 0, meaning you are pretty much free to use it however you want in whatever way. This parsing tier has complex filter {} sections, as it has to deal with multiple types of services. conf should look something like the sample file. Previous post Apache Spark Programming ETL & Reporting & Real Time Streaming; Next post Connecting to Oracle database using Apache Spark. By sending a string of information, you receive a structured and enriched JSON format of the data. conf file in the TL;DR section. OK, I Understand. Now you can run the Logstash using. Before you can analyse any data, you need to get it into your program. Its popularity has grown with the growth of the REST Web Services, and today has long been used in the development of APIs. KV—used to parse the key-value pairs. Therefore, we are configuring the csv filter. If someone needs this, we can fix it # later. Parsing allows you to use advance features like statistical analysis on value fields. For example, take the following. This guide is a continuation of this blog post here. GitHub Gist: instantly share code, notes, and snippets. Logstash is able to parse logs using grok filters. Logstash, fluentd, and Logtail have their own features as follows: Logstash supports all the mainstream log types, diverse plug-ins, and flexible customization, but has relatively low performance and is prone to high memory usage because of JVM. Here we explain how to send logs to ElasticSearch using Beats (aka File Beats) and Logstash. JSON (JavaScript Object Notation) is a notation for data communication, as well as XML, for example. JSON Editor Online is a web-based tool to view, edit, and format JSON. Logstash filter parse json file result a double fields. Create a configuration file in the conf directory and restart Logstash to apply the file. The 'timestamp' is an ISO8601 timestamp. 0 now has shutdown improvements and the ability to install plugins offline. It can merge multiple lines into a single log message. By default, these Terraform creates a VPC with 3 AZs with public/private subnet for each AZ. MessagePack is an efficient binary serialization format. Upload JSON file, Upload url of JSON and view in Tree Structure. A pipeline includes inputs, filters, and outputs (and codecs). Instead of writing/tracking potentially hugely complicated regular expressions, logstash has "grok" patterns - which are really just abstractions of regular expressions. This is used to convert a single element in Json array to a single Logstash event. In your example, you have done that with this part: filter { json { source => "message" Then you have added a. when Array value. Logstash was now receiving these files, but only reporting one event from each file. Bubbles supports JSON Lines datastores. conf file in the TL;DR section. The log message should be a stringified JSON object with the log message in the @message field. Logging with Nginx and Lua. 0 - GET / 200 - 29771 3 ms ELB-HealthChecker/1. This means that it may not re-parse db entries that were. 1, the filter stage had a configurable number of threads, with the output stage occupying a single thread. In our software we are using the Logstash-Logback encoder to directly have JSON logs ready for logstash. you need to add a filter to your config, something like this. Spring RestTemplate and JSON how to ignore empty Arrays deserialization? I am currently using Spring 4. When I started having the need of decoding JSON Web Tokens quite often, I felt the urge of writing a program that allowed me to do it quickly. Values true, false and null are returned as TRUE, FALSE and NULL respectively. In your example, you have done that with this part: filter { json { source =>. I'm trying to determine the freshness of the most recent record in my logstash cluster, but I'm having a bit of trouble digesting the Elasticsearch DSL. rb in logstash located at /lib/logstash/inputs. logstash,logstash-grok,logstash-configuration I have json file that i'm sending to ES through logstash. I would like to remove 1 field ( It's deep field ) in the json ONLY if the value is Null. KV—used to parse the key-value pairs. blob is an array, the. Loading CSV files from Cloud Storage. The license is Apache 2. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. This can be added to the application with the following Maven dependency:. 1, the filter stage had a configurable number of threads, with the output stage occupying a single thread. Logstash Logs…. This article covers ten JSON examples you can use in your projects. The Icinga 2 API returns the package name this stage was created for, and also generates a unique name for the stage attribute you’ll need for later requests. It gives you in built-in features to read from various file formats and perform some operations with it. Logstash also represents message as json in a specific format. 04/Debian 9. Generate Plain Old Java Objects, XML from JSON or even JSON-Schema. Generally speaking you want to use high-numbered ports so things "Just Work"! For this post, I want to tell logstash to listen for TCP connections on port 10001 and I want it to parse that input as JSON. In less than 5 minutes, you'll learn how to set up Logstash, send logs from a file, parse them to extract metrics from those logs and send them to Sematext Logs, our hosted ELK logging service. Deserializing JSON property as String with Jackson. Centralized Log analysis (Real Time) & Logging in JSON - PART 1. parse (source)) # If no target, we target the root of the. npm is a package manager that eases the pain of finding, downloading, and updating all of your project's dependencies. But it's faster and smaller. April 21, 2018, at 6:42 PM. Well look at custom filtering in Chapter 5 that may help parse your specific Syslog variant. If someone needs this, we can fix it # later. It lets you exchange data among multiple languages like JSON. Some of these include: JSON—used to parse the JSON events. To maintain the JSON structure of either an entire message or a specific field, the Logstash json filter plugin enables you to extract and maintain the JSON data structure within the log message. # Enabling 'rubydebug' codec on the stdout output will make logstash # pretty-print the entire event as something similar to a JSON representation. elasticsearch - Parse nested json in logstash. I would like to remove 1 field ( It's deep field ) in the json ONLY if the value is Null. It comes with an amazing array of analysis tools that have all held the test of time. Here's a sample, with comments in-line to describe the settings. Return Values. Filter to parse a field as JSON. In our software we are using the Logstash-Logback encoder to directly have JSON logs ready for logstash. It is fully free and fully open source. Single-core processing capability comparison. Logstash can take input from Kafka to parse data and send parsed output to Kafka for streaming to other Application. Here, the terms "first" and "second" refer to the order in which Transaction Analysis Workbench writes these fields to an output file or stream. 0, meaning you are pretty much free to use it however you want in whatever way. Logstash 2 introduces a number of significant advances in performance including an upgrade of the JrJackson JSON library, an increase in the filter worker default settings and a new beta version of the Logstash forwarder, Filebeat. So, the idea of our honeypot setup is simple: Suricata outputs SSH software version to EVE; DOM adds IP using libssh to the ipset set. json - This is the main json file which can be used to visualise the data * dnsMapping. Optimized for Ruby. Semi structured data such as XML and JSON can be processed with less complexity using Hive. That changed in Logstash 2. This is also the place to define the number of worker threads and batch sizes (which will also be Elasticsearch bulk sizes) parse common Apache logs into JSON define a template where you’d specify how JSON messages would look like. I Am familiar with Grok and Regexes , I Have the following Logstash Conf file : Basically it uses the IMAP Plugin in order to read Emails that are sent into the mailbox , As you can see - it tries to parse out (grok) a specific data from the email in order to parse the JSON Part. This means Logstash has to deserialise a large (several megabyte) JSON file before passing it down the pipeline. The results from all of these will give you JSON and will always contain the fields _index, _type, _id and _source. Kibana provides a pretty dashboard web interface. Logstash Grok filter getting multiple values per match logstash,logstash-grok I have a server that sends access logs over to logstash in a custom log format, and am using logstash to filter these logs and send them to Elastisearch. Returns the value encoded in json in appropriate PHP type. If someone needs this, we can fix it # later. Here we explain how to send logs to ElasticSearch using Beats (aka File Beats) and Logstash. So the JSON array returned will still need to be parsed if you don't want a JSON, for example you could recreate the original raw logs by grabbing only the message field which contains it. Logs are one of the most useful things when it comes to analysis; in simple terms Log analysis is making sense out of system/app-generated log messages (or just LOGS). It takes an existing field which contains JSON and expands it into an actual data structure within the Logstash event. a proof of concept of working through audit logs with logstash, to find out where ruleset data is pushed onto an APR array (hint. By sending a string of information, you receive a structured and enriched JSON format of the data. Consider some information might not be accurate anymore. Python: Using Python, JSON, and Jinja2 to construct a set of Logstash filters Python is a language whose advantages are well documented, and the fact that it has become ubiquitous on most Linux distributions makes it well suited for quick scripting duties. 1 grok parse failure. Logs are one of the most useful things when it comes to analysis; in simple terms Log analysis is making sense out of system/app-generated log messages (or just LOGS). Elasticsearch Ingest Node vs Logstash Performance Radu Gheorghe on October 16, 2018 May 6, 2019 Unless you are using a very old version of Elasticsearch you're able to define pipelines within Elasticsearch itself and have those pipelines process your data in the same way you'd normally do it with something like Logstash. Some applications let you configure the log format, so you can make them write JSON ( Apache httpd, for example ). In your example, you have done that with this part: filter { json { source =>. So, you've completed your Dev environment in some nice throwaway VMs on your workstation (perhaps using Vagrant); your Ansible playbook is ready with a nice sheen to it, and your new shiny VMs are ready and just begging to receive instruction from the playbook you have so lovingly crafted [over the past few weeks, and expect to deploy to Test and Prod in a matter of a few days]. I see in that link that the Logback encoder will output events as Logstash-compatible JSON, so assuming this is normal JSON we shouldn't have any issues parsing it. This article covers ten JSON examples you can use in your projects. Java Basic Programming Java Data types Java Variables Java Access Specifiers Java Operators Java Control Structures Java Conditional statements: 3. join (", ") # Join by ',' if value is an array when Hash value. NULL is returned if the json cannot be decoded or if the encoded data is deeper than the recursion limit. Logstash filter parse json file result a double fields. Logstash - remove deep field from json file logstash,logstash-grok,logstash-configuration I have json file that i'm sending to ES through logstash. Below are basic configuration for Logstash to consume messages from Logstash. ndjson is a similar format that also allows blank lines. Home » Parsing Invalid or incorrect JSON as String. The latter looks like an Array but is not, so most Array methods don't work. Logstash can take input from Kafka to parse data and send parsed output to Kafka for streaming to other Application. In this hands-on, we will learn how to use a JSON Java API, present in Java EE 7. These examples are extracted from open source projects. For more information on Kibana here is a nice article KIBANA SEARCH. Instead it would be great to extend the "split" command so that it can be applied to an array, after the initial data has been parsed. Previous post Apache Spark Programming ETL & Reporting & Real Time Streaming; Next post Connecting to Oracle database using Apache Spark. to_json # Convert hashes to json else value # otherwise return the value end end end end # tags ⇒ Object def tags. Single-core processing capability comparison. After capturing, Logstash can parse and transform the data into meaningful information as required by the user. NET is a great library for serializing objects to and from json strings. The example below is an Apache access log formatted as a JSON:. This article covers ten JSON examples you can use in your projects. Some query operations have a case sensitive and a case insensitive version, for example, Contains - case insensitive (weakhas) and Contains (has, ->). Below are basic configuration for Logstash to consume messages from Logstash. join (", ") # Join by ',' if value is an array when Hash value. Please be aware that the CheckCommand definitions are based on the Monitoring Plugins, other Plugin collections might not support all parameters. 11: json_lines. Kibana provides a pretty dashboard web interface. Whenever a metric target is not filled in, the Jenkins plugin can fill in defaults for you (as of v0. It can merge multiple lines into a single log message. Now you can run the Logstash using. Logstash config On the Logstash side of things you will just need a JSON input, you will probably need some filters to deal with different date formats in here since applications will no doubt log. Importing JSON data to Elasticsearch appbaseio. I'm using the following logstash config file to request and parse xml response from a server: Logstash S3. Manage Spring Boot Logs with Elasticsearch, Logstash and Kibana 16 August 2015 | Krešimir Nesek When time comes to deploy a new project, one often overlooked aspect is log management. 7,elasticsearch,google-search-api After retrieving results from the Google Custom Search API and writing it to JSON, I want to parse that JSON to make valid Elasticsearch documents. The authors provide their own solution, called the Merki Medication Parser. when Array value. Those are either directly send to Logstash (behind a Redis queue) or saved to a file and send via the Logstash-Forwarder, depending on the infrastructure and firewalls. This setting will make appear by default only the selected type ones (Case sensitive or Case insensitive) in the Operations over columns when you run a search. It plugin will read and write event in a single live, that means after newline delimiter there will be a new event. 04/Debian 9. It provides real-time pipelining for data collections. Such techniques include string substitution, multiplication and insertion. Fluentd has standard built-in parsers such as json, regex, csv, syslog, apache, nginx etc as well as third party parsers like grok to parse the. Parse json java by default does not have any inbuilt class or projovide any inbuilt class and method to parse and store these data as objects. NET supports the JSON Schema standard via the JsonSchema and JsonValidatingReader classes. Logstash Configuration & Quick Example. Submitting forms on the support site are temporary unavailable for schedule maintenance. It sits under the Newtonsoft. This was designed for parsing logs that were written into mongodb. Inside the Records array can be hundreds of events. and for splitting COMMENT_ field by into an array; and to copy the name/tag from comment array into a device name/tag field; has a rubydebug output. This article series was rewritten in mid 2017 with up-to-date information and fresh examples. cant find a good tutorial anywhere and yes i need to use raw tcp from where im logging. Data is anything - any message, context, references, etc that are relevant to this event. Instead it would be great to extend the "split" command so that it can be applied to an array, after the initial data has been parsed. With Dnsmasq, we remove those iptable rules as Dnsmasq listen on port 53, Dnsmasq forward DNS query to Consul agent. If your Syslog output isnt compliant with RFC3164 then this plugin will probably not work. An event is simply a tuple of (timestamp, data). Writing a PHP data parser in PHP. This blog post documents how to format logs as JSON in a Spring application. NB: logstash will run as the logstash user, not root, so by default it can NOT bind to ports lower than 1024. Logstash is an open source tool for managing events and logs. Pre-formatting our log messages would allow Logstash to skip any regular expression parsing of our log messages. Jenkins Job Builder will mimic that feature to ensure clean configuration diff. 1 To send data from a RESTful Webservice, there is the input plugin exec. Logstash Configuration & Quick Example. It gives you in built-in features to read from various file formats and perform some operations with it. So, you've completed your Dev environment in some nice throwaway VMs on your workstation (perhaps using Vagrant); your Ansible playbook is ready with a nice sheen to it, and your new shiny VMs are ready and just begging to receive instruction from the playbook you have so lovingly crafted [over the past few weeks, and expect to deploy to Test and Prod in a matter of a few days]. json,python-2. Generally speaking you want to use high-numbered ports so things "Just Work"! For this post, I want to tell logstash to listen for TCP connections on port 10001 and I want it to parse that input as JSON. Take a look to the documentation. Spring RestTemplate and JSON how to ignore empty Arrays deserialization? I am currently using Spring 4. What this means is that in JavaScript and when working with the DOM, you will get Arrays and NodeLists. Logstash is able to parse logs using grok filters.