alexbrasetvik

_type: product

store: Apple Store
category: Computers
name: MacBook Pro

---
_type: product

store: Apple Store

alexbrasetvik

# Some sample documents that could be data about ticket sales.
# An organization can have multiple events, and an event has ticket sales.
# Tickets can have different prices, and are of course sold at different times.

ticket_id: 1
event: red_wedding
organization: freys
sold_at: 2013-12-01T12:00
price: 400
---

alexbrasetvik

# Sample data points.
# These could e.g. be metrics reported by collectd to logstash.

host: app1
cpu: 87.0
---
host: app1
cpu: 1.23
---
host: app2

alexbrasetvik

text:
    - Michael
    - Heaney
    - Heavey

analyzer:

  metaphone:
    type: custom
    tokenizer: standard

alexbrasetvik

_id: 1
foo: null
bar: null
---
_id: 2
foo: ''
bar: ''
---
_id: 3
foo: bar

alexbrasetvik

analyzer: 
    sample:
        text:
            - Jon Snow
            - Big Ben
        tokenizer: standard
        type: custom
        filter: 
            - lowercase
        

alexbrasetvik

# Here you could have various analyzers for different string-types.
# "text_value" and "name_value" should probably have different ones.

alexbrasetvik

text: This text will be used if nothing else is specified.

analyzer:
    standard_tokenize_only:
        type: custom
        tokenizer: standard

    # Switch to the "Analysis"-tab to see how the text gets tokenized by default.
    standard:
        type: standard

alexbrasetvik

# Switch to the Analysis-tab to see how these samples get analyzed.
text:
    - My_second_file_created_at_2012.01.13.pdf
    - Another file.txt

analyzer: 

    filename_index:
        type: custom
        tokenizer: filename

alexbrasetvik

# Switch to the Analysis-tab to see how these samples get analyzed.
text:
    - My_second_file_created_at_2012.01.13.pdf
    - Another file.txt

analyzer: 

    filename_index:
        type: custom
        tokenizer: filename