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1.Create index

curl -XPUT 'http://localhost:9200/index1'


2. Create parent mapping

curl -XPUT 'http://localhost:9200/index1/myparent/_mapping' -d '{
    "parent": {
        "properties": {

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{
    "index" : { 
        "analysis" : { 
            "filter" : { 
              "my_ngram" : { 
                "max_gram" : 20, 
                "min_gram" : 2,
                "type" : "nGram"
              },  
              "my_snow" : { 

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1) Indexing with default settings (automatic index creating and type mapping definition -> default/plain highlighter)

curl -XPUT 'http://localhost:9200/twitter/tweet/1' -d '{
    "user" : "kimchy",
    "post_date" : "2009-11-15T14:12:12",
    "message" : "trying out Elastic and Search"
}'

curl -XPUT 'http://localhost:9200/twitter/tweet/2' -d '{
    "user" : "kimchy",

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1. General Background and Overview

• Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
• Models and Issues in Data Stream Systems
• Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

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README is empty

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README is empty

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README is empty

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README is empty

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README is empty

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README is empty