I am newbie to solr. So please bear with me.
Use cases
User can share his photos to friends or publicly or make it private.
User can search for people or photos(he should view only public photos, shared with him).
I have denormalized my relational data to solr schema. I have merged the user object & photo object into solr schema
So,
If user jack (user 3) is searching for "picnic" He shouldn't see the photo_1 but see photo_2.
If user venu is searching for "picnic" He should see the photo_1 and photo_2.
How can I force solr to look into friends_ids, share_level field? can I do with facet.field? Is dynamic fields work for this case? I have read some tutorials but I am not getting clear picture.
Hope you guys shed some light on this. So that I can take forward. I hope this should be possible.
Thanks in advance!
You should have a string field for share_level, with possible value of private, public, friends.
You should also have a multiValued field for friends_ids,
and it should store each user id instead of the current CSV format
NOTE: you should revised this column type, NEVER use CSV in mysql, use a proper entity relationship
So, once you have the field ready, and complete the reindex,
to search for photo will be just:
+name:$search +(share_level:public (+share_level:friends +friends_ids:$uid))
$search = picnic
$uid = 3 (jack)
Related
I am using salesforce rest api to pull meeting data.There is a field "WhoId" in the reponse which according to the documentation is the related lead or contact id .How do i find whether it is a lead or contact?
You can always tell what sort of object an ID corresponds to by looking at the first 3 letters. In your case, you'd look for a prefix of 00Q (Lead) or 003 (Contact).
See: https://salesforce.stackexchange.com/q/1653
Backup copy of the full table gisted (just in case!) and rendered for your future convenience.
I'm a newbie to Django as well as neo4j. I'm using Django 1.4.5, neo4j 1.9.2 and neo4django 0.1.8
I've created NodeModel for a person node and indexed it on 'owner' and 'name' properties. Here is my models.py:
from neo4django.db import models as models2
class person_conns(models2.NodeModel):
owner = models2.StringProperty(max_length=30,indexed=True)
name = models2.StringProperty(max_length=30,indexed=True)
gender = models2.StringProperty(max_length=1)
parent = models2.Relationship('self',rel_type='parent_of',related_name='parents')
child = models2.Relationship('self',rel_type='child_of',related_name='children')
def __unicode__(self):
return self.name
Before I connected to Neo4j server, I set auto indexing to True and and gave indexable keys in conf/neo4j.properties file as follows:
# Autoindexing
# Enable auto-indexing for nodes, default is false
node_auto_indexing=true
# The node property keys to be auto-indexed, if enabled
node_keys_indexable=owner,name
# Enable auto-indexing for relationships, default is false
relationship_auto_indexing=true
# The relationship property keys to be auto-indexed, if enabled
relationship_keys_indexable=child_of,parent_of
I followed Neo4j: Step by Step to create an automatic index to update above file and manually create node_auto_index on neo4j server.
Below are the indexes created on neo4j server after executing syndb of django on neo4j database and manually creating auto indexes:
graph-person_conns lucene
{"to_lower_case":"true", "_blueprints:type":"MANUAL","type":"fulltext"}
node_auto_index lucene
{"_blueprints:type":"MANUAL", "type":"exact"}
As suggested in https://github.com/scholrly/neo4django/issues/123 I used connection.cypher(queries) to query the neo4j database
For Example:
listpar = connection.cypher("START no=node(*) RETURN no.owner?, no.name?",raw=True)
Above returns the owner and name of all nodes correctly. But when I try to query on indexed properties instead of 'number' or '*', as in case of:
listpar = connection.cypher("START no=node:node_auto_index(name='s2') RETURN no.owner?, no.name?",raw=True)
Above gives 0 rows.
listpar = connection.cypher("START no=node:graph-person_conns(name='s2') RETURN no.owner?, no.name?",raw=True)
Above gives
Exception Value:
Error [400]: Bad Request. Bad request syntax or unsupported method.
Invalid data sent: (' expected but-' found after graph
I tried other strings like name, person_conns instead of graph-person_conns but each time it gives error that the particular index does not exist. Am I doing a mistake while adding indexes?
My project mainly depends on filtering the nodes based on properties, so this part is really essential. Any pointers or suggestions would be appreciated. Thank you.
This is my first post on stackoverflow. So in case of any missing information or confusing statements please be patient. Thank you.
UPDATE:
Thank you for the help. For the benefit of others I would like to give example of how to use cypher queries to traverse/find shortest path between two nodes.
from neo4django.db import connection
results = connection.cypher("START source=node:`graph-person_conns`(person_name='s2sp1'),dest=node:`graph-person_conns`(person_name='s2c1') MATCH p=ShortestPath(source-[*]->dest) RETURN extract(i in nodes(p) : i.person_name), extract(j in rels(p) : type(j))")
This is to find shortest path between nodes named s2sp1 and s2c1 on the graph. Cypher queries are really cool and help traverse nodes limiting the hops, types of relations etc.
Can someone comment on the performance of this method? Also please suggest if there are any other efficient methods to access Neo4j from Django. Thank You :)
Hm, why are you using Cypher? neo4django QuerySets work just fine for the above if you set the properties to indexed=True (or not, it'll just be slower for those).
people = person_conns.objects.filter(name='n2')
The neo4django docs have some other querying examples, as do the Django docs. Neo4django executes those queries as Cypher on the backend- you really shouldn't need to drop down to writing the Cypher yourself unless you have a very particular traversal pattern or a performance issue.
Anyway, to more directly tackle your question- the last example you used needs backticks to escape the index name, like
listpar = connection.cypher("START no=node:`graph-person_conns`(name='s2') RETURN no.owner?, no.name?",raw=True)
The first example should work. One thought- did you flip the autoindexing on before or after saving the nodes you're searching for? If after, note that you'll have to manually reindex the nodes either using the Java API or by re-setting properties on the node, since it won't have been autoindexed.
HTH, and welcome to StackOverflow!
I have a domain object model as below...
#document
Profile
{
**social profile list:**
SocialProfile
{
**Interest list:**
{
Interest
{
id
type
value
}
...
}
...
}
Each profile can have many social profiles, in each social profile there are many interests related to the profile via the specific social profile ( social profile represent social network like Facebook), each interest is also embedded document with the fields id , type , value.
So I have two questions..
can I index few fields separately in the embedded document interest?
can I create compound index in the embedded document interest?
I guess the complexity in my model is the deep level of the embedded document which is 2.. and that the path to that document is via arrays...
can it be done in spring way via metadata annotations? if you think my model is wrong please let me know I am a newbie on mongo
Thanks
You can index separately on the fields in an embedded document.
You can also create a compound index on the fields, so long as no more than one field is an array.
These might offer more answers:
http://www.mongodb.org/display/DOCS/Indexes#Indexes-CompoundKeys
http://www.mongodb.org/display/DOCS/Multikeys
I've created a content type in Drupal 7 with 5 or 6 fields. Now I want to use a function to query them in a hook_view call back. I thought I would query the node table but all I get back are the nid and title. How do I get back the values for my created fields using the database abstraction API?
Drupal stores the fields in other tables and can automatically join them in. The storage varies depending on how the field is configured so the easiest way to access them is by using an EntityFieldQuery. It'll handle the complexity of joining all your fields in. There's some good examples of how to use it here: http://drupal.org/node/1343708
But if you're working in hook_view, you should already be able access the values, they're loaded into the $node object that's passed in as a parameter. Try running:
debug($node);
In your hook and you should see all the properties.
If you already known the ID of the nodes (nid) you want to load, you should use the node_load_multiple() to load them. This will load the complete need with all fields value. To search the node id, EntityFieldQuery is the recommended way but it has some limitations. You can also use the database API to query the node table for the nid (and revision ID, vid) of your nodes, then load them using node_load_multiple().
Loading a complete load can have performance impacts since it will load way more data than what you need. If this prove to be an issue, you can either try do directly access to field storage tables (if your fields values are stored in your SQL database). The schema of these tables is buld dynamicaly depedning on the fields types, cardinality and other settings. You will have to dig into your database schema to figure it out. And it will probably change as soon as you change something on your fields.
Another solution, is to build stub node entities and to use field_attach_load() with a $options['field_id'] value to only load the value of a specific field. But this require a good knowledge and understanding of the Field API.
See How to use EntityFieldQuery article in Drupal Community Documentation.
Creating A Query
Here is a basic query looking for all articles with a photo that are
tagged as a particular faculty member and published this year. In the
last 5 lines of the code below, the $result variable is populated with
an associative array with the first key being the entity type and the
second key being the entity id (e.g., $result['node'][12322] = partial
node data). Note the $result won't have the 'node' key when it's
empty, thus the check using isset, this is explained here.
Example:
<?php
$query = new EntityFieldQuery();
$query->entityCondition('entity_type', 'node')
->entityCondition('bundle', 'article')
->propertyCondition('status', 1)
->fieldCondition('field_news_types', 'value', 'spotlight', '=')
->fieldCondition('field_photo', 'fid', 'NULL', '!=')
->fieldCondition('field_faculty_tag', 'tid', $value)
->fieldCondition('field_news_publishdate', 'value', $year. '%', 'like')
->fieldOrderBy('field_photo', 'fid', 'DESC')
->range(0, 10)
->addMetaData('account', user_load(1)); // Run the query as user 1.
$result = $query->execute();
if (isset($result['node'])) {
$news_items_nids = array_keys($result['node']);
$news_items = entity_load('node', $news_items_nids);
}
?>
Other resources
EntityFieldQuery on api.drupal.org
Building Energy.gov without Views
I am trying a case where we changed a field name in our entity. we have something like this for example
class Person {
String name; //The original declaration was "String fullName"
}
According to objectify you have to use annonation #AutoLoad(""). This is ok and it works as Google Datastore doesn't delete the data Actually but it makes a new field so this annotation is like a mapping between the old and the new field. No problem when you are reading the whole table.
The problem arises when you apply a filter on your query (Suppose you made 5 objects with old name and 5 with new name). The result of your query depends on whether you used the old variable name or the new one (returns back only 5 but never the 10). It won't fetch both of them and map them. Any Suggestions for this problem? I hope i explained it in a clear way.
Thanks in advance
The simplest straight forward solution. fetch all data with the annonation "AutoLoad()". Then store them again. In this way they will be saved as the new field. The old one doesn't exist anymore or at least it doesn't contain any data anymore. It is like migrating the data from the old name to the new name. Anyone has better suggestions ?
If you've changed the name of your field, you need to load and re-put all your data (using the mapreduce API would be one option here). There's no magic way around this - the data you've stored exists with two different names on disk.
You can use #OldName
http://www.mail-archive.com/google-appengine-java#googlegroups.com/msg05586.html