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Create Elasticsearch Index with Tokenizers, Analyzers and mappings with optimized query.

£20-250 GBP

Cerrado
Publicado hace más de 6 años

£20-250 GBP

Pagado a la entrega
BUDGET: £100 or 132$ START: IMMEDIATE START I need a someone who is highly experienced with elasticsearch and fully understands the way elasticsearch tokenizes, analyzes and indexes documents, You should also be very comfortable with the elasticsearch query dsl. ------------------------------------------------------------------------------------------------------------------------------ The task in hand: To create an elasticsearch index on our elasticsearch 5 server that will host our dataset that contains over 50 Million Addresses. The index must be capable of handling search as you type query's and must show highly relevant results for the given query that could possibly require score boosting or function scoring. The desired result is to achieve accurate and very similar results to how this autocompletion works: [login to view URL] ------------------------------------------------------------------------------------------------------------------------------------ We will make regular http calls to the elasticsearch instance with a given query similar to how the above example url works. The http call will send the current input field value to elasticsearch and the value could be part of a given word, a full word, a postcode that contains words / numbers.. An example below: HTTP Calls made using javascript on keyup so lets use the following examples: (User is starting to type main road) Part word: mai Full part word: main Part Multi word: main ro Full multi word: main road ------------------------------------------------------------------------------------------------------------------------------------ How our data is stored: Each Address is stored similar to the two example addresses below, One is a business address and other is a normal property address. Customer_ID (Not indexed, Not Searchable) Address_ID (Not indexed, Not Searchable) Line1: Lettings In Liverpool Ltd Line2: 85 Orrell Lane Line3: Street: Orrel Lane City: Liverpool Postcode: L8 8BL CombinedAddress: Lettings In Liverpool Ltd, 85 Orrell Lane, Liverpool, L8 8BL # EXAMPLE 2 Customer_ID (Not indexed, Not Searchable) Address_ID (Not indexed, Not Searchable) Line1: 26 Netherkirkgate Line2: Line3: Street: Netherkirkgate City: Aberdeen Postcode: AB10 1AU CombinedAddress: 26 Netherkirkgate, Aberdeen, AB10 1AU Our initial thoughts was to just index the CombinedAddress field as the primary searchable text field however it seems we are unable to get the results to be as relevant as expected or to be as relevant as the result the above example URL have within their search as you type index so we are open to suggestions from the person willing to accept this project and if you think we should have all fields in elasticsearch then we are happy to do this. To sum up: We expect the bidder to be comfortable with taking on this project, The project is for immediate start and we are looking to have the project completed as soon as possible so we can begin to use the elasticsearch index as our primary address search. The desired results expected from elasticsearch are something as close to pcapredic results found in the url provided and also the screen shots provided. We are happy to provide any further information but we strongly suggest reading through what is said here prior to asking any questions, Also please check the url and screenshots provided prior to bidding or asking any questions as this will help you gain a bigger picture of what we are looking for. Thanks.
ID del proyecto: 14812594

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7 propuestas
Proyecto remoto
Activo hace 7 años

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7 freelancers están ofertando un promedio de £204 GBP por este trabajo
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Hi, We know Elasticsearch and can work on your project. Since every project requires bit research on the logic to be implemented, we will have short learning curve here but do have the capability. Relevant Skills and Experience NO prior experience on elasticsearch, however we do have a can do approach. Proposed Milestones £100 GBP - upfront £166 GBP - completion You only want to index the CombinedAddress field as the primary searchable text field as of now?
£266 GBP en 3 días
5,0 (1 comentario)
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0,8
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to query into address which is store into elasticsearch. possible with autocomplete Relevant Skills and Experience i have strong experience in java and elasticsearch and infact, im doing work on that on daily basis. Proposed Milestones £277 GBP - task for creating query to search for address store in elasticsearch Hi, please do consider my bid and contact me. thank you.
£277 GBP en 3 días
0,0 (0 comentarios)
0,0
0,0
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I have a good hands on working with these technologies. Let me know if I could be a help Relevant Skills and Experience Big Data, Elastic search, Hive, Hadoop, Tableau Proposed Milestones £150 GBP - project description £72 GBP - completion when do you need it
£222 GBP en 3 días
0,0 (0 comentarios)
0,0
0,0
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I am at core a Java and Javascript developer. Experience in ELK stack and here to enjoy working on the ELK stack. I think I can do this job and have taken buffer time where I also get the time to discuss more and guve time to review as customer statisfaction is paramount parameter in my work and not quickest delivery.
£110 GBP en 5 días
0,0 (0 comentarios)
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Bandera de UNITED KINGDOM
Cleethorpes, United Kingdom
5,0
1
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Miembro desde jul 26, 2015

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