here, This Query is Perfectly Run in Mysql.
but Overwrite this Query into Laravel(Mongodb) Query Format
SELECT F.status, U.username, U.email
FROM users U, friends F
WHERE
CASE
WHEN F.friend_one = '$user_id'
THEN F.friend_two = U.user_id
WHEN F.friend_two= '$user_id'
THEN F.friend_one= U.user_id
END
AND
F.status='1';
this is friend module and get the my all friend list
here is my table look like
{
"_id" :"5a12618b82956d4c0e00002d",
"otheruser" : "598442b58ed7bc0c19000029",
"relation_type" : 2,
"is_friend" : "true",
"user_id" : "59bf784682956df00c00002a"
}
here is my sample query in repository..
public function GetFriendsOfUser($id,$userId)
{
$list = $this->makeModel()
->with('getallfrienduser')
->where('is_friend',"true")
->where('relation_type',2)
->where(function ($query) use ($id,$userId) {
$query->where('user_id', $userId)
->orWhere('otheruser', $id);
})
->get();
}
here sample join in model and join are sapreated
public function getallfrienduser()
{
return $this->hasMany('App\Models\Users','_id','user_id');
}
public function getallfriendother()
{
return $this->hasMany('App\Models\Users','_id','otheruser');
}
but only one join use(user_id,otheruser) alternatively record find two user.
Related
I have a case when my data in in nested arrays of jsonb in order to find the value I have to do multiple JSONB_ARRAY_ELEMENTS which is costly and takes a lots of nested code.
The json file has the continents inside countries and inside cities.
I need to access a city value.
Is there a way to make this query simpler and faster?
I was trying to solve it using JSON_EXTRACT_PATH but in order to get in to a array but I need the indexes.
WITH mydata AS (
SELECT '
{
"continents":[
{
"name":"America",
"area":43316000,
"countries":[
{
"country_name":"Canada",
"capital":"Toronto",
"cities":[
{
"city_name":"Ontario",
"population":2393933
},
{
"city_name":"Quebec",
"population":12332
}
]
},
{
"country_name":"Brazil",
"capital":"Brasilia",
"cities":[
{
"city_name":"Sao Paolo",
"population":34534534
},
{
"city_name":"Rio",
"population":445345
}
]
}
]
},
{
"name":"Europa",
"area":10530751,
"countries":[
{
"country_name":"Switzerland",
"capital":"Zurich",
"cities":[
{
"city_name":"Ginebra",
"population":4564565
},
{
"city_name":"Basilea",
"population":4564533
}
]
},
{
"country_name":"Norway",
"capital":"Oslo",
"cities":[
{
"city_name":"Oslo",
"population":3243534
},
{
"city_name":"Steinkjer",
"population":4565465
}
]
}
]
}
]
}
'::JSONB AS data_column
)
SELECT cit.city->>'city_name' AS city,
(cit.city->>'population')::INTEGER AS population
FROM (SELECT JSONB_ARRAY_ELEMENTS(coun.country->'cities') AS city
FROM (SELECT JSONB_ARRAY_ELEMENTS(cont.continent->'countries') AS country
FROM (SELECT JSONB_ARRAY_ELEMENTS(data_column->'continents') AS continent
FROM mydata
) AS cont
WHERE cont.continent #> '{"name":"Europa"}'
) AS coun
WHERE coun.country #> '{"country_name" : "Norway"}'
) AS cit
WHERE cit.city #> '{"city_name": "Oslo"}'
See my nested queries? looks ugly, I can get the answer using: JSONB_EXTRACT_PATH( data_column->'continents', '1', 'countries', '1', 'cities', '0', 'population') but I had to hardcode the array indexes.
Hope you can help me out.
Thanks.
You don't need any nesting, you can do lateral queries:
SELECT
city->>'city_name' AS city,
(city->>'population')::INTEGER AS population
FROM
mydata,
JSONB_ARRAY_ELEMENTS(data_column->'continents') AS continent,
JSONB_ARRAY_ELEMENTS(continent->'countries') AS country,
JSONB_ARRAY_ELEMENTS(country->'cities') AS city
WHERE continent ->> 'name' = 'Europa'
AND country ->> 'country_name' = 'Norway'
AND city ->> 'city_name' = 'Oslo';
(online demo)
However, since you mentioned paths and having to specify indices in there, this is actually the perfect use case for Postgres 12 JSON paths:
SELECT jsonb_path_query(data_column, '$.continents[*]?(#.name == "Europa").countries[*]?(#.country_name=="Norway").cities[*]?(#.city_name=="Oslo")') FROM mydata
(online demo)
I am having trouble connecting relationships in sequelize.
SELECT * from actors
JOIN "actorStatuses"
on "actorStatuses".actor_id = actors.id
JOIN movies
on movies.id = "actorStatuses".actor_id
WHERE movies.date = '7/8/2017';
Here you go :
model.Actor.findAll({ // change model name as per yours
include : [
{
model : model.ActorStatuses // change model name as per yours
required : true ,
},{
model : model.Movies // change model name as per yours
required : true ,
where : { date : 'your_date' }
}
]
});
This will create exact same query / result as you required.
First Query
SELECT * FROM users WHERE _id = 1
result from query:
{
username: "Test",
nickname: "somename"
}
Second Query
SELECT json_object_agg(permission, true) FROM user_permissions WHERE user_id = 1
result from query:
{
add: true,
delete: true,
somepermission: true
}
Third Query
SELECT array_agg(number) FROM user_phone_numbers WHERE user_id = 1
result from query:
[
00000-0000-000,
11111-1111-111
]
Basically I want to put the result of second and third query into first query so the final result will be
{
username: "Test",
nickname: "somename"
customJSONPermission: {
add: true,
delete: true,
somepermission: true
},
customerArrayPhone: [
00000-0000-000,
11111-1111-111
]
}
How do craft a single SQL command to handle this kind of operation. What kind of keywords or function I should look up?
You can just put all queries in one:
SELECT u.username,
u.nikname,
(SELECT json_object_agg(permission, true) FROM user_permissions WHERE user_id = u._id) AS customJSONPermission,
(SELECT array_agg(number) FROM user_phone_numbers WHERE user_id = u._id) AS customerArrayPhone
FROM users AS u
WHERE u._id = 1
I'm dont think that this is a Meteor specific question, but rather around mongo and building mongo queries.
If I have the following structure,
{
username : someName,
contacts : [
{
userid : asdfae33rtqqxxx,
name : contactName,
status : friend
}
{
userid : asdfae33rtqqxxx,
name : anotherName,
status : pending
}
{
userid : asdfae33rtqqxxx,
name : contactName,
status : blocked
}
]
}
How could I pass in values from this array into a query against the users collection, to a) get the users in this array, or b) get all users in this array from the users collection with a particular status.
If this is not possible, how should I adjust my schema in order to make these sorts of queries possible?
This function will return a Meteor.users cursor based on an array of contacts and an optionally required status:
var usersByContacts = function(contacts, requiredStatus) {
var userIds = _.chain(contacts)
.map(function(c) {
if (requiredStatus) {
if (c.status === requiredStatus)
return c.userid;
} else {
return c.userid;
}
})
.compact()
.value();
return Meteor.users.find({_id: {$in: userIds}});
};
You can use it like this:
var users1 = usersByContacts(thing.contacts);
var users2 = usersByContacts(thing.contacts, 'pending');
This assumes thing has the schema referenced in your question. Also note that if you find this is a common pattern in your code, you should consider turning usersByContacts into a transform.
How to write below query using MongoDB-Csharp driver
SELECT SubSet.*
FROM ( SELECT T.ProductName ,
T.Price ,
ROW_NUMBER() OVER ( PARTITION BY T.ProductName ORDER BY T.ProductName ) AS ProductRepeat
FROM myTable T
) SubSet
WHERE SubSet.ProductRepeat = 1
What I am trying to achieve is
Collection
ProductName|Price|SKU
Cap|10|AB123
Bag|5|ED567
Cap|20|CD345
Cap|5|EC123
Expected results is
ProductName|Price|SKU
Cap|10|AB123
Bag|5|ED567
Here is the one attempt (please don't go with the object and fields)
public List<ProductOL> Search(ProductOL obj, bool topOneOnly)
{
List<ProdutOL> products = new List<ProductOL>();
var database = MyMongoClient.Instance.OpenToRead(dbName: ConfigurationManager.AppSettings["MongoDBDefaultDB"]);
var collection = database.GetCollection<RawBsonDocument>("Products");
List<IMongoQuery> build = new List<IMongoQuery>();
if (!string.IsNullOrEmpty(obj.ProductName))
{
var ProductNameQuery = Query.Matches("ProductName", new BsonRegularExpression(obj.ProductName, "i"));
build.Add(ProductNameQuery);
}
if (!string.IsNullOrEmpty(obj.BrandName))
{
var brandNameQuery = Query.Matches("BrandName", new BsonRegularExpression(obj.BrandName, "i"));
build.Add(brandNameQuery);
}
var fullQuery = Query.And(build.ToArray());
products = collection.FindAs<ProductOL>(fullQuery).SetSortOrder(SortBy.Ascending("ProductName")).ToList();
if (topOneOnly)
{
var tmpProducts = new List<ProductOL>();
foreach (var item in products)
{
if (tmpProducts.Any(x => x.ProductName== item.ProductName)) { }
else
tmpProducts.Add(item);
}
products = tmpProducts;
}
return products;
}
my mongo query works and gives me the right results. But that is not effeciant when I am dealing with huge data, so I was wondering if mongodb has any concepts like SQL Server for Row_Number() and Partitioning
If your query returns the expected results but isn't efficient, you should look into index usage with explain(). Given your query generation code includes conditional clauses, it seems likely you will need multiple indexes to efficiently cover common variations.
I'm not sure how the C# code you've provided relates to the original SQL query, as they seem to be entirely different. I'm also not clear how grouping is expected to help your query performance, aside from limiting the results returned.
Equivalent of the SQL query
There is no direct equivalent of ROW_NUMBER() .. PARTITION BY grouping in MongoDB, but you should be able to work out the desired result using either the Aggregation Framework (fastest) or Map/Reduce (slower but more functionality). The MongoDB manual includes an Aggregation Commands Comparison as well as usage examples.
As an exercise in translation, I'll focus on your SQL query which is pulling out the first product match by ProductName:
SELECT SubSet.*
FROM ( SELECT T.ProductName ,
T.Price ,
ROW_NUMBER() OVER ( PARTITION BY T.ProductName ORDER BY T.ProductName ) AS ProductRepeat
FROM myTable T
) SubSet
WHERE SubSet.ProductRepeat = 1
Setting up the test data you provided:
db.myTable.insert([
{ ProductName: 'Cap', Price: 10, SKU: 'AB123' },
{ ProductName: 'Bag', Price: 5, SKU: 'ED567' },
{ ProductName: 'Cap', Price: 20, SKU: 'CD345' },
{ ProductName: 'Cap', Price: 5, SKU: 'EC123' },
])
Here's an aggregation query in the mongo shell which will find the first match per group (ordered by ProductName). It should be straightforward to translate that aggregation query to the C# driver using the MongoCollection.Aggregate() method.
I've included comments with the rough equivalent SQL fragment in your original query.
db.myTable.aggregate(
// Apply a sort order so the $first product is somewhat predictable
// ( "ORDER BY T.ProductName")
{ $sort: {
ProductName: 1
// Should really have additional sort by Price or SKU (otherwise order may change)
}},
// Group by Product Name
// (" PARTITION BY T.ProductName")
{ $group: {
_id: "$ProductName",
// Find first matching product details per group (can use $$CURRENT in MongoDB 2.6 or list specific fields)
// "SELECT SubSet.* ... WHERE SubSet.ProductRepeat = 1"
Price: { $first: "$Price" },
SKU: { $first: "$SKU" },
}},
// Rename _id to match expected results
{ $project: {
_id: 0,
ProductName: "$_id",
Price: 1,
SKU: 1,
}}
)
Results given the test data appear to be what you were looking for:
{ "Price" : 10, "SKU" : "AB123", "ProductName" : "Cap" }
{ "Price" : 5, "SKU" : "ED567", "ProductName" : "Bag" }
Notes:
This aggregation query uses the $first operator, so if you want to find the second or third product per grouping you'd need a different approach (eg. $group and then take the subset of results needed in your application code)
If you want predictable results for finding the first item in a $group there should be more specific sort criteria than ProductName (for example, sorting by ProductName & Price or ProductName & SKU). Otherwise the order of results may change in future as documents are added or updated.
Thanks to #Stennie with the help of his answer I could come up with C# aggregation code
var match = new BsonDocument
{
{
"$match",
new BsonDocument{
{"ProductName", new BsonRegularExpression("cap", "i")}
}
}
};
var group = new BsonDocument
{
{"$group",
new BsonDocument
{
{"_id", "$ProductName"},
{"SKU", new BsonDocument{
{
"$first", "$SKU"
}}
}
}}
};
var project = new BsonDocument{
{
"$project",
new BsonDocument
{
{"_id", 0 },
{"ProductName","$_id" },
{"SKU", 1}
}}};
var sort = new BsonDocument{
{
"$sort",
new BsonDocument
{
{
"ProductName",1 }
}
}};
var pipeline = new[] { match, group, project, sort };
var aggResult = collection.Aggregate(pipeline);
var products= aggResult.ResultDocuments.Select(BsonSerializer.Deserialize<ProductOL>).ToList();
Using AggregateArgs
AggregateArgs args = new AggregateArgs();
List<BsonDocument> piple = new List<BsonDocument>();
piple.Add(match);
piple.Add(group);
piple.Add(project);
piple.Add(sort);
args.Pipeline = piple;
// var pipeline = new[] { match, group, project, sort };
var aggResult = collection.Aggregate(args);
products = aggResult.Select(BsonSerializer.Deserialize<ProductOL>).ToList();