Ensure config files are not overwritten in RPM upgrade

In order to ensure that configuration files do not get overwritten when
upgrading an RPM, it is not sufficient to mark them as configuration. You
have to use the 'noreplace' parameter to make sure, they are never
overwritten. Added this parameter for the /etc/elasticsearch directory
as well as the /etc/sysconfig/elasticsearch file.

In addition, the post remove script now only deletes the user in case of
a package removal (and does nothing on package upgrade).

Closes #3123
Add Test for simple allocation scenario

This test checks for the "perfect" or a "sane" allocation
when the total number of shards is separable by the total number of nodes
the index can be allocated on.
Stableize SearchStatsTest after search refactoring

SearchStatsTest depends on a given set of nodes and shards. The test
needed to be adjusted to reflect a possibly random number of nodes.
Stabelize MoreLikeThisActionTest

Ensure test sends mapping with createIndex
stabelize SimpleQueryTest
Changing version semantics to be more readable

The Version class had hard to understand semantics when two versions were
compared against each other.

Sample of the new logic:
* V_0_20_0.before(V_0_90_0) => true
* V_0_90_0.after(V_0_20_0)  => true

Closes #3124
Changed Java dependency from Depends to Suggest.

Since people are using the Oracle JAVA distribution and not the OpenJDK.
You can suggest it of course. Now the installation will at least continue.

If the init script is called, it will exit with a useful error message, that
no JDK is available via the JAVA_HOME variable.
Stabeilze SearchStatsTests

Query stats are only present (not 0) on nodes that hold a shard of the index.
Fix AbstractSimpleEngineTests versioning tests.

Version is now stored on a distinct field, that AbstractSimpleEngineTests
didn't correctly add before running tests. This generated a test failure
when the version needed to be loaded from the index.
Stabelize more failing tests.

- SimpleSortTests#testSortScript which was not using the mapping correctly
- SearchStatsTests#testSimpleStats which didn't clear the stats before
  running the test and a previous run could have added queries
Fix SearchStatsTest

Use actual node in test instead of the first node in the array
term vector request
================================

Returns information and statistics on terms in the fields of a particular document as stored in the index.

        curl -XGET 'http://localhost:9200/twitter/tweet/1/_termvector?pretty=true'

Tree types of values can be requested: term information, term statistics and field statistics.
By default, all term information and field statistics are returned for all fields but no term statistics.

Optionally, you can specify the fields for which the information is retrieved either with a parameter in the url

	curl -XGET 'http://localhost:9200/twitter/tweet/1/_termvector?fields=text,...'

or adding by adding the requested fields in the request body (see example below).

Term information
-------------------------

- term frequency in the field (always returned)
- term positions ("positions" : true)
- start and end offsets ("offsets" : true)
- term payloads ("payloads" : true), as base64 encoded bytes

If the requested information wasn't stored in the index, it will be omitted without further warning.
See [mapping](http://www.elasticsearch.org/guide/reference/mapping/core-types/) on how to configure your index to store term vectors.

Term statistics
-------------------------

Setting "term_statistics" to "true" (default is "false") will return

- total term frequency (how often a term occurs in all documents)
- document frequency (the number of documents containing the current term)

By default these values are not returned since term statistics can have a serious performance impact.

Field statistics
-------------------------

Setting "field_statistics" to "false" (default is "true") will omit

- document count (how many documents contain this field)
- sum of document frequencies (the sum of document frequencies for all terms in this field)
- sum of total term frequencies (the sum of total term frequencies of each term in this field)

Behavior
-------------------------

The term and field statistics are not accurate. Deleted documents are not taken into account. The information is only retrieved for the shard the requested document resides in. The term and field statistics are therefore only useful as relative measures whereas the absolute numbers have no meaning in this context.

Example
-------------------------

First, we create an index that stores term vectors, payloads etc. :

    curl -s -XPUT 'http://localhost:9200/twitter/' -d '{
        "mappings": {
            "tweet": {
                "properties": {
                    "text": {
                                "type": "string",
                                "term_vector": "with_positions_offsets_payloads",
                                "store" : "yes",
                                "index_analyzer" : "fulltext_analyzer"
                         },
                     "fullname": {
                                "type": "string",
                                "term_vector": "with_positions_offsets_payloads",
                                "index_analyzer" : "fulltext_analyzer"
                         }
                 }
            }
        },
        "settings" : {
            "index" : {
                "number_of_shards" : 1,
                "number_of_replicas" : 0
            },
            "analysis": {
                    "analyzer": {
                        "fulltext_analyzer": {
                            "type": "custom",
                            "tokenizer": "whitespace",
                            "filter": [
                                "lowercase",
                                "type_as_payload"
                            ]
                        }
                    }
            }
         }
    }'

Second, we add some documents:

    curl -XPUT 'http://localhost:9200/twitter/tweet/1?pretty=true' -d '{
      "fullname" : "John Doe",
      "text" : "twitter test test test "

    }'

    curl -XPUT 'http://localhost:9200/twitter/tweet/2?pretty=true' -d '{
      "fullname" : "Jane Doe",
      "text" : "Another twitter test ..."

    }'

The following request returns all information and statistics for field "text" in document "1" (John Doe):

     curl -XGET 'http://localhost:9200/twitter/tweet/1/_termvector?pretty=true' -d '{
                    "fields" : ["text"],
                    "offsets" : true,
                    "payloads" : true,
                    "positions" : true,
                    "term_statistics" : true,
                    "field_statistics" : true
            }'
Equivalently, all parameters can be passed as URI parameters:
     curl -GET 'http://localhost:9200/twitter/tweet/1/_termvector?pretty=true&fields=text&offsets=true&payloads=true&positions=true&term_statistics=true&field_statistics=true'

Response:

  {
    "_index" : "twitter",
    "_type" : "tweet",
    "_id" : "1",
    "_version" : 1,
    "exists" : true,
    "term_vectors" : {
      "text" : {
        "field_statistics" : {
          "sum_doc_freq" : 6,
          "doc_count" : 2,
          "sum_ttf" : 8
        },
        "terms" : {
          "test" : {
            "doc_freq" : 2,
            "ttf" : 4,
            "term_freq" : 3,
            "pos" : [ 1, 2, 3 ],
            "start" : [ 8, 13, 18 ],
            "end" : [ 12, 17, 22 ],
            "payload" : [ "d29yZA==", "d29yZA==", "d29yZA==" ]
          },
          "twitter" : {
            "doc_freq" : 2,
            "ttf" : 2,
            "term_freq" : 1,
            "pos" : [ 0 ],
            "start" : [ 0 ],
            "end" : [ 7 ],
            "payload" : [ "d29yZA==" ]
          }
        }
      }
    }
  }

Further changes:
-------------------------

XContentBuilder
new method
public XContentBuilder field(XContentBuilderString name, int offset, int length, int... value)
to put an integer array.

IndicesAnalysisService
make token filter for saving payloads available in elasticsearch

AbstractFieldMapper/TypeParser
make term vector options string available and also fix the parsing of this string:
with_positions_payloads is actually allowed as can be seen in TermVectorsConsumerPerFields.

Closes #3114