Elasticsearch Unique Filter

Also define the factory for creating the instance of the custom script. The API is RESTful, so users can not only use it for data-analysis but can also use it in production for web-based applications. You can vote up the examples you like or vote down the ones you don't like. Elasticsearch is one such NOSQL distributed database. Nothing I do within this guide is exceptionally unique in terms of actual configuration of Open Distro for Elasticsearch however I believe applying a practical example when trying to learn a new tool is really important! All the code we’ll be using can be found in t04glovern/open-distro-kickstart. Type the Elasticsearch mapping type. Let’s get started! The goal of this article is to use Elasticsearch to power the Facet search functionality on a Drupal site. If some fields have different data types in types, you are not able to use them for grouping, filters, and so on. Elasticsearch comes bundled with a series of built-in tokenizers as well, and you can also use a custom tokenizer. ElastAlert and Watcher: Alerting for ElasticSearch. They can be more than text -any structured JSON data works. whether our search matches a specific criterion or NOT. An Elasticsearch auto generated ID is guaranteed to be unique to avoid version lookup. Elasticsearch stores any changes in data in transaction loss which reduces the risk of data loss. I am trying to monitor a java process on a Linux Server via SNMP using the "Process Monitor - SNMP" Component, which i also need to use the "Command Line Filter" because there are multiple java processes running on this server and i need to monitor them all individually. A kanban-ish TODO list also exists. 6 on your PC (download from here). Shards are automatically managed by elasticsearch, so most users don’t need to worry about the specific implementation details. ElasticSearch is a great open-source search tool that's built on Lucene (like SOLR) but is natively JSON + RESTful. Such an approach gives us an unique and unprecedented insight in the underlying morphology of a data set, which makes this method a powerful tool for exoplanetary data de-trending and signal diagnostics. Fields in Elasticsearch are stored in an inverted index structure, and it makes picking up matching documents really fast. A cluster needs a unique name to prevent unnecessary nodes from joining. Indices & Documents. While stemming helps to broaden the scope of search by simplifying inflected words to their root form, synonyms broaden the scope by relating concepts and ideas. nodes is a list of nodes optimize can connect to. As Elasticsearch is distributed in nature, it is very easy to scale and integrate Elasticsearch in any organization. Basic Elasticsearch Concepts. I utilized the node-elasticsearch-client library, which is optional, but simplifies the process by wrapping the lower level ElasticSearch client:. Elasticsearch API cheatsheet for developers with copy and paste example for the most useful APIs. log file stored in our cluster. Analyzers in ElasticSearch are used to break up a document into strings that are used for indexing. Try TRIM on your original data col, then run unique filter again Eg: If your data is in A1 down, put in B1: =TRIM(A1). Don't worry. - filter (optional): array of built-in or customised token filters. Elasticsearch is open source developed in Java and used by many big organizations around the world. elasticsearch 5. We have povided a "template" as a high-level abstraction for storing,querying,sorting and faceting documents. A stack is any collection of software products that are designed to work together, such as the popular LAMP stack, comprised of Linux, Apache, MySQL, and PHP. Related Posts: – ElasticSearch – Structure of a Search Request/Response – ElasticSearch Filter vs Query – ElasticSearch Full Text Queries – Basic ContentsI. Hello, I have a cluster of 3 graylog servers with mongodb installed. I have an ES index collecting data from DB using Logstash. Such information for example could be useful for detecting if beats agents are behaving as expected. To further simplify the process of interacting with it, Elasticsearch has clients for many programming. Those were the very basics of the Elasticsearch architecture in terms of the network and physical/virtual machines, but there is of course more to it than this. However, as real world data is inherently more complex, e. , nested json data, relational data, interconnected documents and entities, Elasticsearch quickly evolves to support more advanced search scenarios. In this article we will see how to do CRUD (Create/Read/Update and Delete) operation in Elasticsearch using C# and NEST (. Elasticsearch belongs to the most important full-text search engines on the internet. Elasticsearch is not only a document search DB. Now, we will focus on search deeper. If you pass that through a key-value filter, it will create a new field in the output JSON format where the key would be "x" and the value would. Limiting the Field Cache with Filters on Documents. AbstractSearchScript ; override the run() method. It is also possible to directly use a ElasticSearch filter by setting the string passed to SetAttributeFilter() as a JSon serialized object, e. 1 and kibana also 5. Elasticsearch is one such NOSQL distributed database. The three different types control whether the filter is applied to either the query and facets, a query or subquery, or a facet. In this video the basics of aggregations in Kibana/Elasticsearch are explained and how they influence visualizations in Kibana. This configuration listens on port 8514 for incoming messages from Cisco devices (primarilly IOS, and Nexus), runs the message through a grok filter, and adds some other useful information. Elasticsearch filters to limit the query hits each rule uses; An alert to fire when the rule portion is positive (like email, Jira, Slack, etc. Consequently, if Elasticsearch is unavailable, the update will happen once it comes back. Field - Elasticsearch fields can include multiple values of the same type (essentially a list). 26 Pattern Replace Token Filter. An Elasticsearch pipeline is a definition of a series of processors that must be executed in the same order in which they are declared. ICU analysis for Elasticsearch being configured as the default folding for the Elasticsearch char/token filter icu is used to convert text to a unique. Filter Material: Cotton Gauze. Then copy col B, overwrite col A with a paste special as values. Normally you can use 'gid'. Hint to "Percentile Rank Aggregations": There are currently (as of. In this article we will examine several query types offered by Elasticsearch and we'll also talk about field analyzers. Developed by Shay Banon and released in 2010, it relies heavily on Apache Lucene, a full-text search. To try this out, let's create ourselves a new index with the "actors" field mapped as nested. On non-numeric fields, you can only see the total amount of messages containing that field, and the cardinality of the field, i. It usually runs one instance per machine. Re: Can the order of filters impact performance? We did a fair amount of performance testing around permission filters and the bitsets (i. Each elasticsearch index is divided into a number of shards (5 by default). “We’ve always relied on SignalFx for understanding problems with Elasticsearch. In our specific case, we select all the Bro events from the ssl. Elasticsearch filter by unique value. An Elasticsearch Crash Course Presentation. Deployed by companies such as Facebook, WordPress, Netflix and StumbleUpon, Elasticsearch's popularity will continue to grow in the years to come. Domain names start with a letter or number and can contain the following characters: a-z (lowercase), 0-9, and - (hyphen). For this reason Elasticsearch was introduced (previously they were using distributed grep) for message life cycle. First of all, create an Elasticsearch cluster using the Elasticsearch Service on AWS. Elasticsearch is developed in Java and is released as open source under the terms of the Apache License. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships. elastic / elasticsearch. # Product type The product data format is a combined form of the following Magento2 REST API calls:. Elasticsearch exposes filters in three different ways, which can be somewhat confusing. Obviously, as per requirements, a developer can modify or alter this default. Python Elasticsearch Client¶. Now we have everything in place for configuring SAML for both Elasticsearch and Kibana. ) Sentinl Sentinl is a bit newer than ElastAlert. What Is A Filter In Elasticsearch ? For indexing purpose the above text are tokenized into separate terms and all the unique terms are stored inside the index. In this article, we're going to dive into some key concepts related to full-text search engines, with a special focus on Elasticsearch. I once hiked through Missoula, Montana with nothing but a jar of peanut butter, a spoon, including water bottle equipped by using a filter. ★ Elasticsearch Time Range ★ Top 10 Best Emergency Survival Foods :: ELASTICSEARCH TIME RANGE :: (As Seen On TV) Watch Video Now! Survivorman Alaska Elasticsearch Time Range The easiest way to plan food shortages, which means that you may have food stored up and wont have any need in order to become out fighting the crazed Black Friday Shoppers for that last can of soup on the shelf, in. Anatomy of an Elasticsearch Cluster: Part I It is very similar to an index at the back of a book which contains all the unique words in the book and a list of. When documents are indexed in ElasticSearch, it builds an inverted index. Build a Search Engine with Node. Compare Elasticsearch alternatives for your business or organization using the curated list below. You can use standard clients like curl or any programming language that can send HTTP requests. We make this assertion for the simple fact that you can use filters in nearly all the operations done using queries. My actual DB table consist of only 12 rows with status either as COMPLETED or PENDING. Set Enable Elasticsearch HTTP Auth to Yes, and then enter the username and password. First of all, we aren't going to cover the basics of getting. I want the unique bucket_ids of all the returned documents and then se Finding unique values of a field from the returned search results. Currently, this plugin exists to provide this fix in ES 6. There are two versions of the Elasticsearch catalog. 1+ has the Cardinality Aggregation which will give you a unique count. Scribd is the world's largest social reading and publishing site. Hint to "Percentile Rank Aggregations": There are currently (as of. Elasticsearch can also be used as data store. Filter context:. Indices & Documents. 33 Series Unique Air Filter by K&N®. It provides a distributed, multitenant-capable full-text search engine with a RESTful web interface and schema-free JSON documents. Here's how such a request looks:. This plugin is compatible with ES 6. 1 analyzers, tokenizers and token filters. 24 Unique Token Filter 13. I have an "ELK stack" configuration and, at first, was doing the standard 'filebeat' syslog feeding from logstash with the elasticsearch output plugin. Learn about creating an Elasticsearch index, creating a Logstash configuration file to aggregate and index data into Elasticsearch using Logstash and JDBC. For simplicity's sake, we're going to create a Heroku app with the Bonsai add-on, a hosted ElasticSearch service. Note that, in this case, you might as well specify size as 0 as the unique list of terms you are looking for will be in the aggregations section of. In this article, we'll implement tagging using Spring and Elasticsearch. There are many ways of transforming data in Logstash, one of them is using the mutate filter plugin. Elasticsearch is an. You can vote up the examples you like or vote down the ones you don't like. elasticsearch page 016 Documents are the things you're searching for. 5 hours of detailed, professional video content as online. server_name. This adds the ability to get count of unique terms present in specific field in elasticsearch index for specific time period. The plugin looks great and has a cluster overview page which I like even more than the one offered by Head. - Howiecamp Jul 16 '17 at 2:38. Issues 1,916. Elasticsearch aggregations over regex matching in a list. This training introduces Kibana to the users of Elasticsearch. Elasticsearch can also be used as data store. AbstractSearchScript ; override the run() method. co CORE OTLIE 1 Overview Is it time to level up your logging? With this on-demand course you will experience nearly 3. We have covered how to handle search requests. In this blog post I will dig down into data migrations in Elasticsearch, which is the great search engine we use on elmah. ElasticSearch (aka ELS ) is a noSQL storage, indexing & search service that provides a distributed, multitenant-capable full-text search engine with a RESTful. Second Galway Data Meetup, 29th April 2015 Elasticsearch was originally developed for searching flat documents. Unique term within bucket in. This way, the next time we load a new geonames file, when an id already exists in the index, then the value will be updated in the Elasticsearch index instead of inserting a new record. the name of the index to query. Filter context:. I am trying to build an Elasticsearch query that will return only unique values for a particular field. A New SAR Image Segmentation Algorithm for the Detection of Target and Shadow Regions. x Java Client API. , nested json data, relational data, interconnected documents and entities, Elasticsearch quickly evolves to support more advanced search scenarios. After indexing, you can search, sort, and filter complete documents—not rows of columnar data. Elasticsearch is a common answer for every needs of search on data and with its aggregation framework, it can provides analytics in real-time. Next article. Elasticsearch is a. So we apply the required token filter to it and we get the required tokens generated. I do not want to return all the values for that field nor count them. Elasticsearch DSL¶ Elasticsearch DSL is a high-level library whose aim is to help with writing and running queries against Elasticsearch. There is also an RFC-style document for high-level descriptions. Learn about synonym dictionaries in Elasticsearch. The run() method is called for every record matching the original filter\query criteria. Elasticsearch is an open source distributed document store and search engine that stores and retrieves data structures in near real-time. not filter: R eturned documents are the ones that were not matched by the enclosed filter. Set Enable Search Suggestions to Yes to display search suggestions. The library provides classes for all Elasticsearch query types. have to have unique mappings for each. Analyzers in ElasticSearch are used to break up a document into strings that are used for indexing. If you need to create the service linked role at the same time as the Elasticsearch domain then you must use depends_on to make sure that the role is created before the Elasticsearch domain. At Yelp, we use Elasticsearch, Logstash and Kibana for managing our ever increasing amount of data and logs. It usually runs one instance per machine. We've become big fans of Elasticsearch since we added it to the Raygun backend stack, as it accepts the huge volumes of data you guys throw at us with minimal fuss, then allows us to perform powerful queries on your behalf. componentId: a unique string identifier which we'll use later to connect two different ReactiveSearch components. We have talked about that Elasticsearch use the inverted index to assist searching functionality, but Elasticsearch build a more complex inverted index than we have talked. What is ElasticSearch? Elasticsearch is a search engine based on Lucene. not filter: R eturned documents are the ones that were not matched by the enclosed filter. In Chapter 4 of Relevant Search, we talk a LOT about Elasticsearch analyzers. From the factory pass the list of primary keys to the custom filter. Elasticsearch nested filter query. The plugin provides a token filter of type pelias_unique which has the same usage as the Unique Token Filter provided by Elasticsearch. security_group_ids - (Optional) List of VPC Security Group IDs to be applied to the Elasticsearch domain. If only unique records are in the column, it may be easy to analysis, calculate, and more. It is a very thin client for consuming the HTTP API from. Mindmajix - Online global training platform connecting individuals with the best trainers around the globe. This is what you use to query, count, and filter your data across multiple indexes and types. Instead of modifying the template file on the server, I decided to delete it from ElasticSearch, make my changes to the protocol field and then re-upload the template back to ElasticSearch. Like all Elasticsearch's RESTful APIs, the document API accepts a PUT request to create a new document. When we speak of an index in elasticsearch, we are usually talking about elasticsearch’s index abstraction which sits atop multiple Lucene indexes. elasticsearch-cn-out-of-box. x, Elasticsearch has some parsing capabilities (like Logstash's filters) called Ingest. 3 they added support for field collapsing. However, you can integrate the built in character, token filters, along with tokenizers to create custom analyzers. Pull requests 310. This sink is used whenever you need to write data into Elasticsearch. UF Dashbuilder - Real-time dashboard with ElasticSearch & Logstash This article is about a new Dashbuilder's feature for consuming and visualizing data stored in an ElasticSearch server. In elasticsearch, I have did this query: elasticsearch query. Since Search Guard can read and make use of the published SAML metadata, the actual configuration is pretty straight-forward. Copy down to the last row of data. However, the approach would not work with multiple shards. x This plugin extends Elasticsearch with new search actions and a filter query parser that enables to perform a "Filter Join" between two set of documents (in the same index or in different indexes). RecordNumber is an eventlog unique identifier incremented by Windows every time an event is generated by the system in a particular log scope (in my case Setup). A terms aggregation searches for unique values in the specified field of your documents and builds buckets for each unique value found. Every document has a unique ID, and a type. Anatomy of an Elasticsearch Cluster: Part I It is very similar to an index at the back of a book which contains all the unique words in the book and a list of. log" AND _exists_:BroFilter. Alternatively, deploy a cluster manually. Shards are automatically managed by elasticsearch, so most users don’t need to worry about the specific implementation details. Assuming you already have a Rancher Cluster up and running, getting Elasticsearch running on your cluster is a simple matter of browsing to Catalog in the top menu and searching for Elasticsearch. You can achieve that with a simple terms aggregation parametrized with an include property which you can use to specify either a regexp (e. The run() method is called for every record matching the original filter\query criteria. To try this out, let's create ourselves a new index with the "actors" field mapped as nested. If you run this command several times, the number. Limiting the Field Cache with Filters on Documents. Indexing Firebase Data. The default name of a Cluster is elasticsearch (all in lower case) and the default names for Nodes are Universally Unique Identifiers (UUID). As this is a Java-oriented article, we're not going to give a detailed step-by-step tutorial on how to setup Elasticsearch and show how it works under the hood, instead, we're going to target the Java client, and how to use the main features like index, delete. The resulting newsfeed can be integrated into a website or a mobile app using API or auto-exported from uCrawler to your ElasticSearch, MySQL or Postgres. There are two versions of the Elasticsearch catalog. Terms Aggregation | Elasticsearch Reference [5. I have used grok extensively to reveal all kinds of exciting trends in these but I was wondering if there is a simple generic plot that could give me some insight into the frequency of words in any logfile Is. regex,elasticsearch. A cluster is identified by a unique name. Unique term within bucket in. It worked just fine. Upwork is the leading online workplace, home to thousands of top-rated Elasticsearch Developers. /elasticsearch. Introduction In my previous posts here and here I showed you how to index data into Elasticsearch from a SQL DB using JDBC and Elasticsearch JDBC importer library. Adapted from the official Elasticsearch Unique Token Filter. Elasticsearch supports faceted search which is like having multiple filters on data along with classification system over them. Configure SAML for Elasticsearch. Instead of modifying the template file on the server, I decided to delete it from ElasticSearch, make my changes to the protocol field and then re-upload the template back to ElasticSearch. A simple Node. Also define the factory for creating the instance of the custom script. Run the query_data script. For more information on how to debug bad rows using Spark or Elasticsearch without Kibana, or how to recover events, visit these tutorials: Debugging bad rows in Spark and Zeppelin; Debugging bad rows in Elasticsearch using curl (without Kibana) Recovering events with a missing schema (documentation). Then I could find few ways of doing that. From installation to uploading your own theme in our store, this video series provides you with first-hand experience so that you can easily start creating your own Shopware themes today. How to apply a filter to an aggregation in Elasticsearch. To setup Elasticsearch, use docker or check the installation page on the Elasticsearch site for the instructions for your OS. An inverted index consists of a list of all the unique words that appear in any document, and for each word, a list of the documents in which it appears. , nested json data, relational data, interconnected documents and entities, Elasticsearch quickly evolves to support more advanced search scenarios. Elasticsearch Elasticsearch is a distributed, open source search and analytics engine which powers search on Wikipedia and other WMF wikis. But the problem is, with only a single filter as part of the bool filter it is working fine. In this document, we'll cover the basics of what you need to know about Elasticsearch in order to use it. It is strongly recommended to set this ID in your configuration. I utilized the node-elasticsearch-client library, which is optional, but simplifies the process by wrapping the lower level ElasticSearch client:. elasticsearch 5. Now, how are these Nodes and Clusters being identified uniquely? The answer is Unique Names for both Nodes and Clusters. Analyzers are the text-processing pipeline that feed the search engine’s core. That being said, it is very beneficial to know the basics of how it works for a number of reasons. Elasticsearch Support. Install Java. The nested_path needs to be specified; otherwise, elasticsearch doesn't know on what nested level sort values need to be captured. It is built on top of the official low-level client (elasticsearch-py). This is very handy, because after a filter is run once, ElasticSearch will subsequently use values stored in the filter cache and thus save precious disk I/O operations and by avoiding disk I/O speed up query execution. You can connect it to the Elasticsearch index, fetch the documents from it and start exploring the data. Elasticsearch Learning to Rank: the documentation¶ Learning to Rank applies machine learning to relevance ranking. This involves the computation of the unique field values for a field at the query time. Type the identifier of the existing Elasticsearch pipeline to use for document preprocessing. More on that later. Official low-level client for Elasticsearch. These tools are often used to analyse logs, but they're also useful for digging into other sorts of time-series data, such as the price paid data. ObjectRocket stumbled across Sentinl—created by Siren Solutions—while looking for new alerting options for customers on the ObjectRocket Service. Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. These Elasticsearch questions were asked in various interviews by top MNC companies and prepared by industry experts. Must be unique. The format in config file is below:. If you run this command several times, the number. The AWS Documentation website is getting a new look! Try it now and let us know what you think. Quickly reference key Elasticsearch metrics and commands. Each elasticsearch index is divided into a number of shards (5 by default). How I can to do to create a simple discover using a 'distinct' or similiar filter in the bar search? Thanks. regex,elasticsearch. Related Posts: – ElasticSearch – Structure of a Search Request/Response – ElasticSearch Filter vs Query – ElasticSearch Full Text Queries – Basic ContentsI. It stores and indexes documents. country_code field. 23 Useful Elasticsearch Example Queries When using a bool query, you can use a filter clause to filter down the results of a query. He wants Kibana to use that field as the official "timestamp" rather than defaulting to Elasticsearch's automatically-generated timestamp field. In the next example, we are using filter to get the data, which restricts the output to only data with a verb like GET or POST followed by a Unique Resource Identifier. Shards are automatically managed by elasticsearch, so most users don’t need to worry about the specific implementation details. Basic Elasticsearch Concepts. Using Metric Filters to Extract Values from JSON Log Events. I have used grok extensively to reveal all kinds of exciting trends in these but I was wondering if there is a simple generic plot that could give me some insight into the frequency of words in any logfile Is. The examples are written in C# with the official Elasticsearch client NEST, but the procedure will be the same with other programming languages. Note that at-rest encryption can be enabled only for domains with ElasticSearch version 5. Terms Aggregation | Elasticsearch Reference [5. In addition, and somewhat confusingly, ElasticSearch distinguishes between sub-components that are “queries” and those that are “filters”. filter:是用于过滤结果的Elasticsearch过滤器列表。有关 详细信息,请参阅编写过滤规则。 alert:警报。有关警报类型的更多信息,请参阅警报。电子邮件警报需要SMTP服务器才能发送邮件。默认情况下,它将尝试使用localhost。这可以通过smtp_host选项更改。. The statistical information consist of: total, mean, minimum, maximum, standard deviation, variance, sum, and cardinality. ELK is one of the most widely used stacks for processing log files and storing. Elasticsearch allows for very flexible and fast queries on large amounts of data The Browser is the ideal platform to explore data D3, crossfilter, and DC help you to interactively explore your data visually Elasticsearch can deliver data in chunks the Browser can digest Your turn. I understand that when you facet or sort on a field, it loads all of the possible values of that field into the field cache. Please note that you can define a number of connection points in a cluster. Key-values is a filter plug-in that extracts keys and values from a single log using them to create new fields in the structured data format. Select the right version of the Elasticsearch engine from the Elasticsearch version dropdown list. By default, Elasticsearch will apply the "standard" analyzer, which contains a grammar-based tokenizer that removes common English words and applies additional filters. I recently wanted to push existing relational data to Elasticsearch and analyse them using Kibana. They are extracted from open source Python projects. I want to check distinct counts for a long value field in elasticsearch i have used cardinality to do this. Using elasticsearch, logstash and kibana to create realtime dashboards. When using Beats with Elasticsearch, it may be useful to keep track of how many unique agents are sending data into an Elasticsearch cluster, and how many documents each agent is submitting. These Elasticsearch questions were asked in various interviews by top MNC companies and prepared by industry experts. Such information for example could be useful for detecting if beats agents are behaving as expected. In this Logstash configuration, we add a filter named grok to filter out the input data. THE unique Spring Security education if you're working with Java today. 2] | Elastic This requires the field to be not analzed. Elasticsearch is not only a document search DB. Common case is to repeat the query / filter inside the nested filter or query. We expected issues given some past experience with a proprietary search product but this wasn't the case with elasticsearch and we used filters ranging from 8K to 10K. Set specific Elasticsearch Server Timeout in seconds. I have an ES index collecting data from DB using Logstash. Elasticsearch is an open source distributed document store and search engine that stores and retrieves data structures in near real-time. x from Smile. The uuid filter allows you to generate a UUID and add it as a field to each processed event. Elasticsearch is developed in Java and is released as open source under the terms of the Apache License. Issues 1,916. SharePoint ULS Log analysis using ELK (ElasticSearch LogStash and Kibana) A Solution to Multi-Tenant systems Log Access. in the left column to filter Datasets by your selection. Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. In this Logstash configuration, we add a filter named grok to filter out the input data. Each of these shards contains a unique portion of the documents in the elasticsearch index. Elasticsearch supports faceted search which is like having multiple filters on data along with classification system over them. config, which only becomes available after the create_app() function is invoked. First of all, create an Elasticsearch cluster using the Elasticsearch Service on AWS. You can connect it to the Elasticsearch index, fetch the documents from it and start exploring the data. Any additional keyword arguments will be passed to Elasticsearch. More information on analyzers can be found in the elasticsearch documentation. See Writing Filters For Rules for more information. Elasticsearch based Image Search using RGB Signatures In my previous post , I described some experiments I was doing to reduce images to a Bag of Visual Words (BOVW). collate csv date dns drop elapsed elasticsearch environment extractnumbers fingerprint gelfify geoip grep grok grokdiscovery i18n json json_encode kv metaevent metrics multiline mutate noop prune punct railsparallelrequest range ruby sleep split sumnumbers syslog_pri throttle translate unique urldecode useragent uuid wms wmts xml zeromq. decanter-appender-elasticsearch-native-1. Jun 3 rd, 2012.