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es-amazon-s3-river

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Amazon S3 river for Elasticsearch

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es-amazon-s3-river
==================

Amazon S3 river for Elasticsearch

This river plugin helps to index documents from a Amazon S3 account buckets.

*WARNING*: For 0.0.1 released version, you need to have the [Attachment Plugin](https://github.com/elasticsearch/elasticsearch-mapper-attachments).

*WARNING*: Starting from 0.0.2, you don't need anymore the [Attachment Plugin](https://github.com/elasticsearch/elasticsearch-mapper-attachments) as we use now directly [Tika](http://tika.apache.org/), see [issue #2](https://github.com/lbroudoux/es-amazon-s3-river/issues/2).

Versions
--------

<table>
   <thead>
      <tr>
         <td>Amazon S3 River Plugin</td>
         <td>ElasticSearch</td>
         <td>Attachment Plugin</td>
         <td>Tika</td>
      </tr>
   </thead>
   <tbody>
      <tr>
         <td>master (1.6.1-SNAPSHOT)</td>
         <td>1.6.x and 1.7.x</td>
         <td>No more used</td>
         <td>1.6</td>
      </tr>
      <tr>
         <td>1.6.0</td>
         <td>1.6.x and 1.7.x</td>
         <td>No more used</td>
         <td>1.6</td>
      </tr>
      <tr>
         <td>1.4.1</td>
         <td>1.4.x and 1.5.x</td>
         <td>No more used</td>
         <td>1.6</td>
      </tr>
      <tr>
         <td>1.4.0</td>
         <td>1.4.x and 1.5.x</td>
         <td>No more used</td>
         <td>1.6</td>
      </tr>
      <tr>
         <td>1.3.0</td>
         <td>1.3.x</td>
         <td>No more used</td>
         <td>1.4</td>
      </tr>
      <tr>
         <td>1.2.0</td>
         <td>1.2.x</td>
         <td>No more used</td>
         <td>1.4</td>
      </tr>
      <tr>
         <td>0.0.4</td>
         <td>1.0.x and 1.1.x</td>
         <td>No more used</td>
         <td>1.4</td>
      </tr>
      <tr>
         <td>0.0.3</td>
         <td>1.0.0</td>
         <td>No more used</td>
         <td>1.4</td>
      </tr>
      <tr>
         <td>0.0.2</td>
         <td>0.90.0</td>
         <td>No more used</td>
         <td>1.4</td>
      </tr>
      <tr>
         <td>0.0.1</td>
         <td>0.90.0</td>
         <td>1.7.0</td>
         <td></td>
      </tr>
   </tbody>
</table>

Build Status
------------

Travis CI [![Build Status](https://travis-ci.org/lbroudoux/es-amazon-s3-river.png?branch=master)](https://travis-ci.org/lbroudoux/es-amazon-s3-river)

Getting Started
===============

Installation
------------

Just install as a regular Elasticsearch plugin by typing :

```sh
$ bin/plugin --install com.github.lbroudoux.elasticsearch/amazon-s3-river/1.6.0
```

This will do the job...

```
-> Installing com.github.lbroudoux.elasticsearch/amazon-s3-river/1.6.0...
Trying http://download.elasticsearch.org/com.github.lbroudoux.elasticsearch/amazon-s3-river/amazon-s3-river-1.6.0.zip...
Trying http://search.maven.org/remotecontent?filepath=com/github/lbroudoux/elasticsearch/amazon-s3-river/1.6.0/amazon-s3-river-1.6.0.zip...
Downloading ......DONE
Installed amazon-s3-river
```

Get Amazon AWS credentials (accessKey and secretKey)
------------------------------------------

First, you need to login to Amazon AWS account owning the S3 bucket to and then retrieve your security credentials by visiting this [page](https://portal.aws.amazon.com/gp/aws/securityCredentials).

Once done, you should note your `accessKey` and `secretKey` codes.

Creating an Amazon S3 river
------------------------

We create first an index to store our *documents* (optional):

```sh
$ curl -XPUT 'http://localhost:9200/mys3docs/' -d '{}'
```

We create the river with the following properties :

* accessKey : AAAAAAAAAAAAAAAA
* secretKey: BBBBBBBBBBBBBBBB
* Amazon S3 bucket to index : `myownbucket`
* Path prefix to index in this buckets : `Work/` (This is optional. If specified, it should be an existing path with the trailing /)
* Update Rate : every 15 minutes (15 * 60 * 1000 = 900000 ms)
* Get only docs like `*.doc` and `*.pdf`
* Don't index `*.zip` and `*.gz`

```sh
$ curl -XPUT 'http://localhost:9200/_river/mys3docs/_meta' -d '{
  "type": "amazon-s3",
  "amazon-s3": {
    "accessKey": "AAAAAAAAAAAAAAAA",
    "secretKey": "BBBBBBBBBBBBBBBB",
    "name": "My Amazon S3 feed",
    "bucket" : "myownbucket"
    "pathPrefix": "Work/",
    "update_rate": 900000,
    "includes": "*.doc,*.pdf",
    "excludes": "*.zip,*.gz"
  }
}'
```

By default, river is using an index that have the same name (`mys3docs` in the above example).

*From 0.0.2 version*

The `source_url` of documents is now stored within Elasticsearch index in order to allow you to access
later the whole document content from your application (this is indeed a use case coming from [Scrutmydocs](http://www.scrutmydocs.org)).

By default, the plugin uses what is called the *resourceUrl* of a S3 bucket document. If the document have
been made public within S3, it can be accessed directly from your browser. If it's not the case, the stored url
is intended to be used by a regular S3 client that has the allowed set of credentials to access the document.

Another option to easily distribute S3 content is to setup a Web proxy in front of S3 such as CloudFront (see
[Service Private Content With CloudFront](http://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/PrivateContent.html)).
In that later case, you'll want to rewrite `source_url` by substituting the S3 part by your own host name. This
plugin allows you to do that by specifying a `download_host` as a river properties.

Specifying index options
------------------------

Index options can be specified when creating an amazon-s3-river. The properties are the following :

* Index name : "amazondocs"
* Type of documents : "doc"
* Size of an indexation bulk : 50 (default is 100)

You'll have to use them as follow when creating a river :

```sh
$ curl -XPUT 'http://localhost:9200/_river/mys3docs/_meta' -d '{
  "type": "amazon-s3",
  "amazon-s3": {
    "accessKey": "AAAAAAAAAAAAAAAA",
    "secretKey": "BBBBBBBBBBBBBBBB",
    "name": "My Amazon S3 feed",
    "bucket" : "myownbucket"
    "pathPrefix": "Work/",
    "update_rate": 900000,
    "includes": "*.doc,*.pdf",
    "excludes": "*.zip,*.gz"
  },
  "index": {
    "index": "amazondocs",
    "type": "doc",
    "bulk_size": 50
  }
}'
```

Indexing Json documents
-----------------------

*From 0.0.4 version*

If you want to index Json files directly without parsing them through Tika, you can set the `json_support` configuration
option to `true` like

```sh
$ curl -XPUT 'http://localhost:9200/_river/mys3docs/_meta' -d '{
  "type": "amazon-s3",
  "amazon-s3": {
    "accessKey": "AAAAAAAAAAAAAAAA",
    "secretKey": "BBBBBBBBBBBBBBBB",
    "name": "My Amazon S3 feed",
    "bucket" : "myownbucket"
    "pathPrefix": "Jsons/",
    "update_rate": 900000,
    "json_support": true,
    "includes": "*.json"
  }
}'
```

Be sure in your river configuration to correclty use `includes` or `excludes` to only retrieve Json documents.

In this case of `json_support` and if you did not define a mapping prior creating it, this river *will not*
automatically generate a mapping like mentioned below into the Advanced section. In this case, Elasticsearch will auto
guess the mapping.

Advanced
========

Management actions
------------------

If you need to stop a river, you can call the `_s3` endpoint with your river name followed by the `_stop` command like this :

```sh
GET _s3/mys3docs/_stop
```

To restart the river from the previous point, just call the corresponding `_start` endpoint :

```sh
GET _s3/mys3docs/_start
```

Extracted characters
--------------------

*From 1.4.1 version*

By default this river plugin will extract only a limited size of characters (up to 100000 that is the default aloowed by Tika). 
But this may be not sufficient for big documents. You can override this limit using the `indexed_chars_ratio` river option like this :

```sh
$ curl -XPUT 'http://localhost:9200/_river/mys3docs/_meta' -d '{
  "type": "amazon-s3",
  "amazon-s3": {
    "accessKey": "AAAAAAAAAAAAAAAA",
    "secretKey": "BBBBBBBBBBBBBBBB",
    "name": "My Amazon S3 feed",
    "bucket" : "myownbucket"
    "pathPrefix": "Work/",
    "indexed_chars_ratio": 1
  }
}'
```

`indexed_chars_ratio` should actually been a positive double number. Setting `indexed_chars_ratio` to `x` will compute
file size, multiply it with `x` and pass it to Tika. Setting a value of `1`, will extract exactly the filesize.

That means that a value of `0.8` will extract 20% less characters than the file size. A value of `1.5` will extract 50%
more characters than the filesize (think compressed files).

Note that Tika requires to allocate in memory a data structure to extract text. Setting `indexed_chars_ratio` to a high 
number will require more memory !

Credential keys security and IAM Role
-------------------------------------
 
*From 1.4.1 version*

Transferring `accessKey` and `secretKey` as river creation option is not the always applicable depending on your context.
This may lead to an exposition of this keys. From 1.4.1 version, you may now have the ability to :

* either use the default credential retrieval process that checks system variables and configuration files, 
* either force the usage of IAM Role if your nodes are running directly onto an Amazon EC2 instance.

We recommend you to check see http://docs.aws.amazon.com/AWSSdkDocsJava/latest/DeveloperGuide/java-dg-roles.html for
explanations of credential retrieval process.

The behaviour of this river plugin is now the following :

* `accessKey` and `secretKey` are no longer mandatory fields. If not provided at index creation, river will just try to
connect to your S3 bucket using the default provider chain,
* new option `use_EC2_IAM` can be set to `true` to force the usage of EC2 IAM Role.
 
In action, this lead to something like when creating river :

```sh
$ curl -XPUT 'http://localhost:9200/_river/mys3docs/_meta' -d '{
  "type": "amazon-s3",
  "amazon-s3": {
    "name": "My Amazon S3 feed",
    "bucket" : "myownbucket"
    "pathPrefix": "Work/",
    "use_EC2_IAM": true
  }
}'
```

Autogenerated mapping
---------------------

When the river detect a new type, it creates automatically a mapping for this type.

```javascript
{
  "doc" : {
    "properties" : {
      "title" : {
        "type" : "string",
        "analyzer" : "keyword"
      },
      "modifiedDate" : {
        "type" : "date",
        "format" : "dateOptionalTime"
      },
      "file" : {
        "type" : "attachment",
        "fields" : {
          "file" : {
            "type" : "string",
            "store" : "yes",
            "term_vector" : "with_positions_offsets"
          },
          "title" : {
            "type" : "string",
            "store" : "yes"
          }
        }
      }
    }
  }
}
```

*From 0.0.2 version*

We now use directly Tika instead of the mapper-attachment plugin.

```javascript
{
  "doc" : {
    "properties" : {
      "title" : {
        "type" : "string",
        "analyzer" : "keyword"
      },
      "modifiedDate" : {
        "type" : "date",
        "format" : "dateOptionalTime"
      },
      "source_url" : {
        "type" : "string"
      },
      "file" : {
        "properties" : {
          "file" : {
            "type" : "string",
            "store" : "yes",
            "term_vector" : "with_positions_offsets"
          },
          "title" : {
            "type" : "string",
            "store" : "yes"
          }
        }
      }
    }
  }
}
``` 
     
    
License
=======

```
This software is licensed under the Apache 2 license, quoted below.

Licensed under the Apache License, Version 2.0 (the "License"); you may not
use this file except in compliance with the License. You may obtain a copy of
the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
License for the specific language governing permissions and limitations under
the License.
```

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