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related | A high performance distributed graph database. | Database library

 by   niho Ruby Version: Current License: MIT

 by   niho Ruby Version: Current License: MIT

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kandi X-RAY | related Summary

related is a Ruby library typically used in Database applications. related has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Related is meant to be a simple graph database that is fun, free and easy to use. The intention is not to compete with "real" graph databases like Neo4j, but rather to be a replacement for a relational database when your data is better described as a graph. For example when building social software. Related is very similar in scope and functionality to Twitters FlockDB, but is among other things designed to be easier to setup and use. Related also has better documentation and is easier to hack on. The intention is to be web scale, but we ultimately rely on the ability of Redis to scale (using Redis Cluster for example). Read more about the philosophy behind Related in the [Wiki](http://github.com/sutajio/related/wiki).
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • related has a low active ecosystem.
  • It has 130 star(s) with 14 fork(s). There are 10 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 10 open issues and 2 have been closed. On average issues are closed in 1066 days. There are 1 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of related is current.
related Support
Best in #Database
Average in #Database
related Support
Best in #Database
Average in #Database

quality kandi Quality

  • related has 0 bugs and 0 code smells.
related Quality
Best in #Database
Average in #Database
related Quality
Best in #Database
Average in #Database

securitySecurity

  • related has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • related code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
related Security
Best in #Database
Average in #Database
related Security
Best in #Database
Average in #Database

license License

  • related is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
related License
Best in #Database
Average in #Database
related License
Best in #Database
Average in #Database

buildReuse

  • related releases are not available. You will need to build from source code and install.
  • Installation instructions, examples and code snippets are available.
  • related saves you 661 person hours of effort in developing the same functionality from scratch.
  • It has 1534 lines of code, 192 functions and 21 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
related Reuse
Best in #Database
Average in #Database
related Reuse
Best in #Database
Average in #Database
Top functions reviewed by kandi - BETA

kandi has reviewed related and discovered the below as its top functions. This is intended to give you an instant insight into related implemented functionality, and help decide if they suit your requirements.

  • Allows accessor to the serializer .
  • Delete all related documents
  • Creates a new relation
  • Queues data for given data
  • The object s attributes of the resource .
  • Updates this object .
  • Validates an entity with the given id .
  • Derives the key pair of key pair
  • Return the node key for this node
  • Enqueue a given data flow

related Key Features

A high performance distributed graph database.

Setup

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$ gem install related

Example usage

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node = Related::Node.create(:name => 'Example', :popularity => 2.3)
node.new?
node.popularity = 100
node.attributes
node.has_attribute?(:popularity)
node.read_attribute(:popularity)
node.write_attribute(:popularity, 50)
node.increment!(:popularity, 10)
node.decrement!(:popularity, 10)
Related::Node.increment!(node, :popularity, 10)
Related::Node.decrement!(node, :popularity, 10)
node.save
node.persisted?
node = Related::Node.find(node.id)
node.destroy
node.destroyed?

node1 = Related::Node.create
node2 = Related::Node.create
rel = Related::Relationship.create(:friends, node1, node2, :have_met => true)

n = Related::Node.find(node1.id)
nn = Related::Node.find(node1.id, node2.id)

n = Related::Node.find(node1.id, :fields => [:name])
nn = Related::Node.find(node1.id, node2.id, :fields => [:name])

The root node

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Related::Relationship.create(:example, Related.root, node)
Related.root.outgoing(:example)

Properties

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class Event < Related::Node
  property :title, String
  property :attending_count, Integer
  property :popularity, Float
  property :start_date, DateTime
  property :location do |value|
    "http://maps.google.com/maps?q=#{value}"
  end
end

Weight

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class Comment < Related::Relationship
  property :created_at, Time
  property :points, Integer
  weight do |direction|
    if direction == :in
      self.created_at
    elsif direction == :out
      self.points
    end
  end
end

ActiveModel

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class Like < Related::Relationship
  validates_presence_of :how_much
  validates_numericality_of :how_much

  after_save :invalidate_cache

  def invalidate_cache
    ...
  end
end

Follower

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require 'related/follower'

class User < Related::Node
  include Related::Follower
end

user1 = User.create
user2 = User.create

user1.follow!(user2)
user1.unfollow!(user2)
user2.followers
user1.following
user1.friends
user2.followed_by?(user1)
user1.following?(user2)
user2.followers_count
user1.following_count

Real-time Stream Processing

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Related.data_flow :comment, Tokenize => { CountWords => { TotalSum => nil, MovingAverage => nil } }

Distributed cluster setup

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Related.redis = Redis::Distributed.new %w[
  redis://redis-1.example.com
  redis://redis-2.example.com
  redis://redis-3.example.com
  redis://redis-4.example.com],
  :tag => /^related:([^:]+)/

Using Related with another database

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class CustomNode
  include Ripple::Document
  include Related::Node::QueryMethods

  def query
    Related::Node::Query.new(self)
  end
end

Development

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git clone git://github.com/sutajio/related.git
cd related
rake test

How to fade edges of background image of element to blend in with the main background image?

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.body {
  display: grid;
  width: 200px;
  height: 200px;
  /* replace with the image you like here */
  background-image: repeating-linear-gradient(-45deg,
      yellow,
      yellow 20px,
      black 20px,
      black 40px);
}

.content {
  margin: 25px;
  /* replace with the image you like here */
  background-image: linear-gradient(to top, blue 0%, blue 100%);
  
  /* for webkit-based browsers */
  -webkit-mask-image:
    linear-gradient(to top, black 0%, black 100%),
    linear-gradient(to top, transparent 0%, black 100%),
    linear-gradient(to right, transparent 0%, black 100%),
    linear-gradient(to bottom, transparent 0%, black 100%),
    linear-gradient(to left, transparent 0%, black 100%);
  -webkit-mask-position:
    center,
    top,
    right,
    bottom,
    left;
  -webkit-mask-size:
    100% 100%,
    100% 10px,
    10px 100%,
    100% 10px,
    10px 100%;
  -webkit-mask-repeat:
    no-repeat,
    no-repeat,
    no-repeat,
    no-repeat,
    no-repeat;
   -webkit-mask-composite:
    source-out,
    source-over,
    source-over,
    source-over;
    
   /* for browsers which have implemented the official spec */
  mask-image:
    linear-gradient(to top, black 0%, black 100%),
    linear-gradient(to top, transparent 0%, black 100%),
    linear-gradient(to right, transparent 0%, black 100%),
    linear-gradient(to bottom, transparent 0%, black 100%),
    linear-gradient(to left, transparent 0%, black 100%);
  mask-position:
    center,
    top,
    right,
    bottom,
    left;
  mask-size:
    100% 100%,
    100% 10px,
    10px 100%,
    100% 10px,
    10px 100%;
  mask-repeat:
    no-repeat,
    no-repeat,
    no-repeat,
    no-repeat,
    no-repeat;
  mask-composite:
    subtract,
    add,
    add,
    add;
}
<div class="body">
  <div class="content"></div>
</div>
-----------------------
.body {
  display: grid;
  width: 200px;
  height: 200px;
  /* replace with the image you like here */
  background-image: repeating-linear-gradient(-45deg,
      yellow,
      yellow 20px,
      black 20px,
      black 40px);
}

.content {
  margin: 25px;
  /* replace with the image you like here */
  background-image: linear-gradient(to top, blue 0%, blue 100%);
  
  /* for webkit-based browsers */
  -webkit-mask-image:
    linear-gradient(to top, black 0%, black 100%),
    linear-gradient(to top, transparent 0%, black 100%),
    linear-gradient(to right, transparent 0%, black 100%),
    linear-gradient(to bottom, transparent 0%, black 100%),
    linear-gradient(to left, transparent 0%, black 100%);
  -webkit-mask-position:
    center,
    top,
    right,
    bottom,
    left;
  -webkit-mask-size:
    100% 100%,
    100% 10px,
    10px 100%,
    100% 10px,
    10px 100%;
  -webkit-mask-repeat:
    no-repeat,
    no-repeat,
    no-repeat,
    no-repeat,
    no-repeat;
   -webkit-mask-composite:
    source-out,
    source-over,
    source-over,
    source-over;
    
   /* for browsers which have implemented the official spec */
  mask-image:
    linear-gradient(to top, black 0%, black 100%),
    linear-gradient(to top, transparent 0%, black 100%),
    linear-gradient(to right, transparent 0%, black 100%),
    linear-gradient(to bottom, transparent 0%, black 100%),
    linear-gradient(to left, transparent 0%, black 100%);
  mask-position:
    center,
    top,
    right,
    bottom,
    left;
  mask-size:
    100% 100%,
    100% 10px,
    10px 100%,
    100% 10px,
    10px 100%;
  mask-repeat:
    no-repeat,
    no-repeat,
    no-repeat,
    no-repeat,
    no-repeat;
  mask-composite:
    subtract,
    add,
    add,
    add;
}
<div class="body">
  <div class="content"></div>
</div>

Identify distinct mappings of two overlapping columns in Pandas

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import networkx as nx
G = nx.from_pandas_edgelist(df, 'id_1', 'id_2')
l = list(nx.connected_components(G))
l
Out[66]: [{'A', 'B', 'C'}, {'D', 'E'}, {'F', 'G'}, {'H', 'I', 'J'}, {'K', 'L', 'M'}]
from functools import reduce
d = reduce(lambda a, b: {**a, **b}, [dict.fromkeys(y,x) for x, y in enumerate(l)])
df['g'] = df.id_1.map(d)
df
Out[76]: 
  id_1 id_2  g
0    A    B  0
1    A    C  0
2    D    E  1
3    F    G  2
4    H    I  3
5    H    J  3
6    K    L  4
7    M    L  4
-----------------------
import networkx as nx
G = nx.from_pandas_edgelist(df, 'id_1', 'id_2')
l = list(nx.connected_components(G))
l
Out[66]: [{'A', 'B', 'C'}, {'D', 'E'}, {'F', 'G'}, {'H', 'I', 'J'}, {'K', 'L', 'M'}]
from functools import reduce
d = reduce(lambda a, b: {**a, **b}, [dict.fromkeys(y,x) for x, y in enumerate(l)])
df['g'] = df.id_1.map(d)
df
Out[76]: 
  id_1 id_2  g
0    A    B  0
1    A    C  0
2    D    E  1
3    F    G  2
4    H    I  3
5    H    J  3
6    K    L  4
7    M    L  4

Managing nested Firebase realtime DB queries with await/async

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  Object.keys(event.participants).forEach(async (value: any) => {
-----------------------
async function afterEventHostMail() {
 // Initialize variables
  events = [];

  await admin.database().ref('/events_geo').once('value').then(snapshots => {
    snapshots.forEach(snapshot => {
      var event = snapshot.val();
      var eventKey = snapshot.key;
      
      // Do some filtering
      const mergedObj = { ...event, ...{ key: eventKey } };
      events.push(mergedObj)
    });
  });

  for (const event of events) {
    // Do a ton of await calls here
  }

  // The rest of the function
}

Flutter show iconButton based on Map

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static const Map<String, Map<String, String>> social = {
    'personA': {
      'twitch': 'https://www.twitch.tv/...',
      'instagram': 'https://www.instagram.com/.../'
    },
    'personB': {
      'twitch': 'https://www.twitch.tv/...',
      'instagram': 'https://www.instagram.com/.../'
    },
    'personC': {
      'facebook': 'https://www.facebook.com/...',
    },
  };

List<Map<String,String>> listUsers = List().from(social.values);
[...]
ListView.builder(
                    itemCount: listUsers.length,
                    itemBuilder: (context, index) {
[...]
Row(
              children: <Widget>[
                ListView.builder(
                    itemCount: listUsers.length,
                    itemBuilder: (context, index) {
                      return Column(children:[
                            if (listUsers[index].containsKey('twitch'))
                                IconButton(icon: FaIcon(FontAwesomeIcons.twitch), onPressed: (){//Access listUsers[index]['twitch'] here
                                }),
                            if (listUsers[index].containsKey('instagram'))
                                IconButton(icon: FaIcon(FontAwesomeIcons.instagram), onPressed: (){//Access listUsers[index]['instagram'] here
                                })
                       ])
                    }
                )
              ],
            ),
-----------------------
static const Map<String, Map<String, String>> social = {
    'personA': {
      'twitch': 'https://www.twitch.tv/...',
      'instagram': 'https://www.instagram.com/.../'
    },
    'personB': {
      'twitch': 'https://www.twitch.tv/...',
      'instagram': 'https://www.instagram.com/.../'
    },
    'personC': {
      'facebook': 'https://www.facebook.com/...',
    },
  };

List<Map<String,String>> listUsers = List().from(social.values);
[...]
ListView.builder(
                    itemCount: listUsers.length,
                    itemBuilder: (context, index) {
[...]
Row(
              children: <Widget>[
                ListView.builder(
                    itemCount: listUsers.length,
                    itemBuilder: (context, index) {
                      return Column(children:[
                            if (listUsers[index].containsKey('twitch'))
                                IconButton(icon: FaIcon(FontAwesomeIcons.twitch), onPressed: (){//Access listUsers[index]['twitch'] here
                                }),
                            if (listUsers[index].containsKey('instagram'))
                                IconButton(icon: FaIcon(FontAwesomeIcons.instagram), onPressed: (){//Access listUsers[index]['instagram'] here
                                })
                       ])
                    }
                )
              ],
            ),
-----------------------
static const Map<String, Map<String, String>> social = {
    'personA': {
      'twitch': 'https://www.twitch.tv/...',
      'instagram': 'https://www.instagram.com/.../'
    },
    'personB': {
      'twitch': 'https://www.twitch.tv/...',
      'instagram': 'https://www.instagram.com/.../'
    },
    'personC': {
      'facebook': 'https://www.facebook.com/...',
    },
  };

List<Map<String,String>> listUsers = List().from(social.values);
[...]
ListView.builder(
                    itemCount: listUsers.length,
                    itemBuilder: (context, index) {
[...]
Row(
              children: <Widget>[
                ListView.builder(
                    itemCount: listUsers.length,
                    itemBuilder: (context, index) {
                      return Column(children:[
                            if (listUsers[index].containsKey('twitch'))
                                IconButton(icon: FaIcon(FontAwesomeIcons.twitch), onPressed: (){//Access listUsers[index]['twitch'] here
                                }),
                            if (listUsers[index].containsKey('instagram'))
                                IconButton(icon: FaIcon(FontAwesomeIcons.instagram), onPressed: (){//Access listUsers[index]['instagram'] here
                                })
                       ])
                    }
                )
              ],
            ),

VBA - NULL values in Listview

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Function getFieldValue(fVal As Variant, Optional defaultValue = "") As String
    If IsNull(fVal) Then
        getFieldValue = defaultValue
    Else
        getFieldValue = CStr(fVal)
    End If
End Function
    Do Until rs.EOF
        Set ListItm = QueryResults.ListItems.Add(getFieldValue(rs(1).Value))
        For Count = 2 To rs.Fields.Count
            ListItm.ListSubItems.Add Text:=getFieldValue(rs(Count).Value)
        Nex
        rs.MoveNext
    Loop
-----------------------
Function getFieldValue(fVal As Variant, Optional defaultValue = "") As String
    If IsNull(fVal) Then
        getFieldValue = defaultValue
    Else
        getFieldValue = CStr(fVal)
    End If
End Function
    Do Until rs.EOF
        Set ListItm = QueryResults.ListItems.Add(getFieldValue(rs(1).Value))
        For Count = 2 To rs.Fields.Count
            ListItm.ListSubItems.Add Text:=getFieldValue(rs(Count).Value)
        Nex
        rs.MoveNext
    Loop

Refer to variables dynamically

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webhooks = {
    "Boston": "boston url",
    "Budapest": "budapest url"
}
# this will give you Boston webhook
myTeamsMessage = pymsteams.connectorcard(location + webhooks["Boston"])
-----------------------
webhooks = {
    "Boston": "boston url",
    "Budapest": "budapest url"
}
# this will give you Boston webhook
myTeamsMessage = pymsteams.connectorcard(location + webhooks["Boston"])
-----------------------
webhooks = {'Boston':'www.url.com',
            'Budapest':'www.url1.com',
           }

Setting data in state not working in Vue 3 with Vuex 4

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import { computed , onMounted} from "vue";
import { useStore } from 'vuex';

export default{
  setup() {
    const store = useStore();
    const user = computed(() => store.state.user);
    const productsTest = computed(() => store.state.products);
   
  onMounted(()=>{
    store.dispatch('GET_USER');
    store.dispatch('GET_PRODUCTS');
  })
    return {
      user,
      productsTest
    };
  }
}
-----------------------
const app = createApp({
    mounted(){
        store.dispatch('YOUR_ACTION') // GET_USER or GET_PRODUCTS in OP's case
    }
});
import { computed } from "vue";
import { useStore } from "vuex";

setup() {
        const store = useStore();
       
        return {
            products: computed(() => store.state.YOUR_STATE), 
            //replace YOUR_STATE with your own. In OP's case, it's user or products
        };
    }
-----------------------
const app = createApp({
    mounted(){
        store.dispatch('YOUR_ACTION') // GET_USER or GET_PRODUCTS in OP's case
    }
});
import { computed } from "vue";
import { useStore } from "vuex";

setup() {
        const store = useStore();
       
        return {
            products: computed(() => store.state.YOUR_STATE), 
            //replace YOUR_STATE with your own. In OP's case, it's user or products
        };
    }

Vaadin TextArea set starting row number to 1

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var textArea = new TextArea();
textArea.getElement().executeJs("this.shadowRoot.querySelector('textarea').rows = $0;", rows);

Mobile is displaying &quot;miniature&quot; of desktop content layout instead to adjust accordingly to its width

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link rel="stylesheet" href="./style.css">
    <title>Document</title>
</head>
<body>
    <div id="oepanel" class="OEContainer" >
        <div id="oecell11" class="OECell">
            cell 1
        </div>
        <div id="oecell12" class="OECell">
            cell 2
        </div>
        <div id="oecell13" class="OECell">
            cell 3
        </div>
</div>
</body>
</html>
.OEContainer {
    background-color: lightblue;
    border: 3px solid #000000;
    min-height: 10em;
    vertical-align: middle;
    padding: 10px;
    max-width:1130px;
    margin:auto;
    text-align:center;
    display: flex;
    justify-content:space-between;
}
  
.OECell {
    background-color: lightblue;
    border: 3px solid #73AD21;
    min-height: 10em;
    vertical-align: middle;
    padding: 0px;
    width:250px;
    text-align:center;
    float: left;
    margin: 5px;
}

@media (max-width: 500px) {
    .OEContainer {
        flex-direction: column;
        align-items: center;
    }
}
-----------------------
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link rel="stylesheet" href="./style.css">
    <title>Document</title>
</head>
<body>
    <div id="oepanel" class="OEContainer" >
        <div id="oecell11" class="OECell">
            cell 1
        </div>
        <div id="oecell12" class="OECell">
            cell 2
        </div>
        <div id="oecell13" class="OECell">
            cell 3
        </div>
</div>
</body>
</html>
.OEContainer {
    background-color: lightblue;
    border: 3px solid #000000;
    min-height: 10em;
    vertical-align: middle;
    padding: 10px;
    max-width:1130px;
    margin:auto;
    text-align:center;
    display: flex;
    justify-content:space-between;
}
  
.OECell {
    background-color: lightblue;
    border: 3px solid #73AD21;
    min-height: 10em;
    vertical-align: middle;
    padding: 0px;
    width:250px;
    text-align:center;
    float: left;
    margin: 5px;
}

@media (max-width: 500px) {
    .OEContainer {
        flex-direction: column;
        align-items: center;
    }
}

Pandas: add number of unique values to other dataset (as shown in picture):

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def c_value(a_value, right_table):
    c_ids = []
    for index, row in right_table.iterrows():
        if row['A'] == a_value:
            if row['C'] not in c_ids:
                c_ids.append(row['C'])
    return len(c_ids)
new_column = []
for index, row in left_table.iterrows():
    new_column.append(c_value(row['A'],right_table))
left_table["C-count"] = new_column
-----------------------
def c_value(a_value, right_table):
    c_ids = []
    for index, row in right_table.iterrows():
        if row['A'] == a_value:
            if row['C'] not in c_ids:
                c_ids.append(row['C'])
    return len(c_ids)
new_column = []
for index, row in left_table.iterrows():
    new_column.append(c_value(row['A'],right_table))
left_table["C-count"] = new_column
-----------------------
>>> count_df = df2.groupby('A', as_index=False).C.nunique()
>>> output = pd.merge(df1, count_df, on='A')
>>> output.rename(columns={'C':'C-count'}, inplace=True)
>>> output
   A   B  C-count
0  2  22        3
1  3  23        2
2  5  21        1
3  1  24        1
4  6  21        1
-----------------------
df1['C-count'] = df1['A'].map(df2.groupby('A')['C'].nunique())

Community Discussions

Trending Discussions on related
  • How to fade edges of background image of element to blend in with the main background image?
  • Identify distinct mappings of two overlapping columns in Pandas
  • General approach to parsing text with special characters from PDF using Tesseract?
  • Managing nested Firebase realtime DB queries with await/async
  • Flutter show iconButton based on Map
  • VBA - NULL values in Listview
  • Refer to variables dynamically
  • Technical Framework for IoT Emergency Systems
  • Setting data in state not working in Vue 3 with Vuex 4
  • How to create a working VHDX in Azure CI Build Pipeline?
Trending Discussions on related

QUESTION

How to fade edges of background image of element to blend in with the main background image?

Asked 2021-Jun-16 at 03:34

I've come across an issue of trying to fade the edges of the background image of a div so that it looks like it's blending with the background image of the full site (so the background image applied to the body).

<head>
  <style>
  body{
    background-image: url('some url here') !important;
    background-repeat: no-repeat;
    background-attachment: fixed;
    background-position: 100%;
    background-size: 1150px;
  }
  #blendElement{
    background: url('some other url here');
    background-attachment: fixed;
    background-repeat: no-repeat;
    background-size: 100%;
  }
  </style>
</head>

<body>
 <div>
   <div id="blendElement"> This should have edges blending to the main (body's) background image behind it.
   </div>
 </div>
</body>

If you've ever used PowerPoint and tried an image effect called soft edges, that's exactly what I'm trying to do here. The only related "answer" I was able to find was for solid body background colors by using box-shadow with inset:

box-shadow: 25px 25px 50px 0 (color matching background color) inset;

But since the body has a background image and not a solid color, there's no way to make it look like it's blending in. And obviously using a transparent color in box shadow just shows the div background image as it normally would look.

Could someone help me out with this? (And I can't edit the div image to give it transparent fading edges, so it'll have to be directly done with CSS or JS)

ANSWER

Answered 2021-Jun-16 at 02:49

You can use the background as gradient where the edges are rgba(0,0,0,0). This way it will smoothly blend with background. But this will not work for images. For images You will have to a div of background color and rgba(0,0,0,0) in gradient with color facing outward.

Source https://stackoverflow.com/questions/67995632

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Assuming you already have Redis installed:. Or add the gem to your Gemfile. If you are using Rails, add the above to an initializer. If Redis is running on localhost and on the default port the second line is not needed.
It is easy to use Related in a distributed cluster setup. As of writing this (November 2011) Redis Cluster is not yet ready for production use, but is expected for Redis 3.0 sometime in 2012. Redis Cluster will then be the preferred solution as it will allow you to setup up a dynamic cluster that can re-configure on the fly. If you don’t need to add or remove machines for the cluster you can still use Related in a distributed setup right now using the consistent hashing client Redis::Distributed which is included in the "redis" gem. The regular expression supplied in the :tag option tells Redis::Distributed how to distribute keys between the different machines. The regexp in the example is the recommended way of setting it up as it will partition the key space based on the Related ID part of the key, in effect localizing all data directly related to a specific node on a single machine. This is generally good both for reliability (if a machine goes down, it only takes down a part of the graph) and speed (set operations on relationships originating from the same node can be done on the server side, which is a lot faster, for example). You could also specify a regexp like /:(n|r):/ that will locate all relationships on the same machine, making set operations on relationships a lot faster overall. But with the obvious drawback that the total size of your graph will be limited by that single machine.

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