failed to find analyzer type [mmseg_maxword] or tokenizer

在Elasticsearch2.2.0和2.2.1版本下
用maven手动安装上mmseg、ik之后。
在elasticsearch.yml里配置好分词器、分析器之后，报错如下：
failed to find analyzer type [mmseg_maxword] or tokenizer
Unknown Analyzer type [ik] for [ik]

 
用rtf版本里的mmseg和ik，就没这个问题。
 
配置文件：

index:

  analysis:

    tokenizer:

      my_pinyin:

        type: pinyin

        first_letter: prefix

        padding_char: ''

      pinyin_first_letter:

        type: pinyin

        first_letter: only

      mmseg_maxword:

        type: mmseg

        seg_type: max_word

      mmseg_complex:

        type: mmseg

        seg_type: complex

      mmseg_simple:

        type: mmseg

        seg_type: simple

      semicolon_spliter:

        type: pattern

        pattern: ";"

      pct_spliter:

        type: pattern

        pattern: "[%]+"

      ngram_1_to_2:

        type: nGram

        min_gram: 1

        max_gram: 2

      ngram_1_to_3:

        type: nGram

        min_gram: 1

        max_gram: 3

    filter:

      ngram_min_3:

        max_gram: 10

        min_gram: 3

        type: nGram

      ngram_min_2:

        max_gram: 10

        min_gram: 2

        type: nGram

      ngram_min_1:

        max_gram: 10

        min_gram: 1

        type: nGram

      min2_length:

        min: 2

        max: 4

        type: length

      min3_length:

        min: 3

        max: 4

        type: length

      pinyin_first_letter:

        type: pinyin

        first_letter: only

    analyzer:

      lowercase_keyword:

        type: custom

        filter:

        - lowercase

        tokenizer: standard

      lowercase_keyword_ngram_min_size1:

        type: custom

        filter:

        - lowercase

        - stop

        - trim

        - unique

        tokenizer: nGram

      lowercase_keyword_ngram_min_size2:

        type: custom

        filter:

        - lowercase

        - min2_length

        - stop

        - trim

        - unique

        tokenizer: nGram

      lowercase_keyword_ngram_min_size3:

        type: custom

        filter:

        - lowercase

        - min3_length

        - stop

        - trim

        - unique

        tokenizer: ngram_1_to_3

      lowercase_keyword_ngram:

        type: custom

        filter:

        - lowercase

        - stop

        - trim

        - unique

        tokenizer: ngram_1_to_3

      lowercase_keyword_without_standard:

        type: custom

        filter:

        - lowercase

        tokenizer: keyword

      lowercase_whitespace:

        type: custom

        filter:

        - lowercase

        tokenizer: whitespace

      ik:

        alias:

        - ik_analyzer

        type: ik

      ik_max_word:

        type: ik

        use_smart: false

      ik_smart:

        type: ik

        use_smart: true

      mmseg:

        alias:

        - mmseg_analyzer

        type: mmseg

      mmseg_maxword:

        type: custom

        filter:

        - lowercase

        tokenizer: mmseg_maxword

      mmseg_complex:

        type: custom

        filter:

        - lowercase

        tokenizer: mmseg_complex

      mmseg_simple:

        type: custom

        filter:

        - lowercase

        tokenizer: mmseg_simple

      comma_spliter:

        type: pattern

        pattern: "[,|\\s]+"

      pct_spliter:

        type: pattern

        pattern: "[%]+"

      custom_snowball_analyzer:

        type: snowball

        language: English

      simple_english_analyzer:

        type: custom

        tokenizer: whitespace

        filter:

        - standard

        - lowercase

        - snowball

      edge_ngram:

        type: custom

        tokenizer: edgeNGram

        filter:

        - lowercase

      pinyin_ngram_analyzer:

        type: custom

        tokenizer: my_pinyin

        filter:

        - lowercase

        - nGram

        - trim

        - unique

      pinyin_first_letter_analyzer:

        type: custom

        tokenizer: pinyin_first_letter

        filter:

        - standard

        - lowercase

      pinyin_first_letter_keyword_analyzer:

        alias:

        - pinyin_first_letter_analyzer_keyword

        type: custom

        tokenizer: keyword

        filter:

        - pinyin_first_letter

        - lowercase

      path_analyzer: #used for tokenize :/something/something/else

        type: custom

        tokenizer: path_hierarchy



#index.analysis.analyzer.default.type: mmseg

index.analysis.analyzer.default.type: keyword



# rtf.filter.redis.host: 127.0.0.1

# rtf.filter.redis.port: 6379

 
请大神解答下，谢谢！