mirror of https://github.com/lukechilds/docs.git
Alexander Graebe
4 years ago
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description: Blockstack naming service (BNS) |
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--- |
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## Introduction |
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The search subsystem for Stacks Blockchain creates an index for data associated |
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with registered names in namespaces and makes that data searchable. |
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The search subsystem is currently meant to index the .id namespace but can |
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be easily expanded to include other namespaces. |
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Currently there are two types of indexes to handle search queries: |
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- Substring search on usernames, full names, twitter_handle (powered by MongoDB) |
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- Raw Lucene index which handles searching extended data e.g., bio. |
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Search will currently return upto a max of 20 results (can be less depending on the query) |
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with data that follows structure of [blockstack IDs](https://github.com/blockstack/blockstack): |
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In early 2017, the search subsystem was ported over to the new API system, where support for search is provided by the endpoint: |
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``` |
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http://localhost:5000/search?query=<SEARCH_PATTERN> |
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``` |
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This document describes how to setup the search subsystem to respond at that endpoint. |
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## Installation |
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- **Step 1:** First, make sure you have [virtualenv installed](http://docs.python-guide.org/en/latest/dev/virtualenvs/). |
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Then, setup the API and search subsystem: |
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```bash |
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$ sudo apt-get install -y mongodb memcached python-dev libmemcached-dev zlib1g-dev nginx |
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$ sudo pip install uwsgi |
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$ git clone https://github.com/blockstack/blockstack-core.git --branch api |
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$ cd blockstack-core/ |
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$ sudo pip install . |
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$ sudo pip install -r api/requirements.txt |
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$ sudo mkdir /var/blockstack-search && sudo chown $USER:$USER /var/blockstack-search |
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``` |
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- **Step 2:** Make sure you have a Stacks Node running locally (see [instructions](https://github.com/blockstack/blockstack-core/blob/master/README.md#quick-start)). We highly |
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recommend using a local node because the search subsystem issues thousands of calls to |
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a Stacks Node for re-indexing and remote nodes can slow down performance. |
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- **Step 3:** Fetch the data for the .id namespace and respective profiles. Note, you may want to redirect stderr to a file, as there is a lot of debug output. |
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```bash |
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$ cd api/ |
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$ python -m search.fetch_data --fetch_namespace |
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$ python -m search.fetch_data --fetch_profiles |
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``` |
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- **Step 4:** Create the search index: |
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```bash |
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python -m search.basic_index --refresh |
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``` |
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- **Step 5:** Enable search API endpoint: |
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```bash |
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$ sed -i 's/SEARCH_API_ENDPOINT_ENABLED \= False/SEARCH_API_ENDPOINT_ENABLED \= True/' config.py |
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``` |
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## Usage |
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You can quickly test the search index from the command line: |
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```bash |
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python -m search.substring_search --search_name "Fred Wil" |
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python -m search.substring_search --search_twitter fredwil |
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``` |
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You can also use the search API end-point: |
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```bash |
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curl -G {machine_ip}:port/search/name -d "query=muneeb" |
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``` |
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Sample Response: |
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```json |
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{ |
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"people": [ |
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{ |
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"profile": { |
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"website": [ |
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{ |
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"url": "http://muneebali.com", |
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"@type": "WebSite" |
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} |
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], |
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"name": "Muneeb Ali", |
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"address": { |
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"addressLocality": "New York, NY", |
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"@type": "PostalAddress" |
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}, |
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"image": [ |
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{ |
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"contentUrl": "https://s3.amazonaws.com/dx3/muneeb", |
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"@type": "ImageObject", |
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"name": "cover" |
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}, |
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{ |
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"contentUrl": "https://s3.amazonaws.com/kd4/muneeb", |
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"@type": "ImageObject", |
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"name": "avatar" |
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} |
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], |
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"@type": "Person", |
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"description": "Co-founder of Blockstack. Interested in distributed systems and blockchains. Previously, PhD at Princeton." |
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}, |
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"username": "muneeb" |
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}, |
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{ |
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"profile": { |
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"message": "This blockchain ID is reserved for Muneeb Ali. If this is you, please email support@onename.com to claim it for free.", |
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"status": "reserved" |
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}, |
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"username": "muneebali" |
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}, |
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{ |
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"profile": { |
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"cover": { |
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"url": "https://s3.amazonaws.com/97p/HHE.jpg" |
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}, |
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"v": "0.2" |
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}, |
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"username": "muneebali1" |
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} |
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] |
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} |
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``` |
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## Enabling Elastic Search |
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### Requirements: |
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```bash |
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sudo apt-get install mongodb |
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sudo apt-get install memcached libmemcached-dev |
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sudo apt-get install python2.7-dev |
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pip install -r requirements.txt |
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``` |
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### Elastic Search |
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Elastic Search library is not in github and resides at unix/lib/elastic |
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the current version we're using is _0.90.2_. Download from: |
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```bash |
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wget https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-0.90.2.zip |
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``` |
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before installing pylimbmc make sure [memcached](/core/memcached) is installed. |
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Ensure that mongodb and elastic search are running |
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starting elastic search: |
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```bash |
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$elasticsearch (on mac) |
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bin/elasticsearch -d (on linux) |
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``` |
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To test if elastic search is running: |
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```bash |
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curl -X GET http://localhost:9200/ |
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``` |
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returns: |
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```json |
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{ |
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"ok": true, |
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"status": 200, |
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"name": "Angler", |
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"version": { |
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"number": "0.90.2", |
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"snapshot_build": false, |
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"lucene_version": "4.3.1" |
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} |
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} |
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``` |
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Create Index: |
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```bash |
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python create_search_index.py --create_index |
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``` |
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