I have a mongo document like so:
{
"_id" : "EimL8Hf5SsCQKM7WP",
"enable" : "no",
"collector" : [
{
"name" : "prod",
"enable" : "no",
"transport" : {
"address" : {},
"port" : "8000",
"protocol" : "http-secure"
},
"authentication" : {},
"notify-syslog" : "yes"
},
{
"name" : "test",
"enable" : "no",
"transport" : {
"address" : {},
"port" : "8000",
"protocol" : "http-secure"
},
"authentication" : {},
"notify-syslog" : "yes"
}
],
"misc" : {
"createdBy" : "someuser",
"updatedBy" : "someuser",
}
}
I display certain fields of the mongo document as an autoform to the user so that they can be edited. Since the other fields are hidden, the outcome of the form will only contain the fields that were exposed.
I end up with a modified document object like so: (keep an eye on the "name" fields)
{
"enable" : "no",
"collector" : [
{
"name" : "someohername",
},
{
"name" : "anothername",
}
],
"misc" : {
"createdBy" : "someuser",
"updatedBy" : "anotheruser",
}
}
My current requirement is to somehow merge both the documents together such that the initial document has all fields of the modified document, along with it's fields.
Outcome:
{
"_id" : "EimL8Hf5SsCQKM7WP",
"enable" : "no",
"collector" : [
{
"name" : "someothername",
"enable" : "no",
"transport" : {
"address" : {},
"port" : "8000",
"protocol" : "http-secure"
},
"authentication" : {},
"notify-syslog" : "yes"
},
{
"name" : "anothername",
"enable" : "no",
"transport" : {
"address" : {},
"port" : "8000",
"protocol" : "http-secure"
},
"authentication" : {},
"notify-syslog" : "yes"
}
],
"misc" : {
"createdBy" : "someuser",
"updatedBy" : "anotheruser",
}
}
If you notice above, only the name field has been updated whilst retaining the remaining fields.
I tried to directly update the document using collection.update({id}, $set:{<<modified_docuemnt}}); but it is replacing the entire collector field with what is passed in the $set
How exactly do I go about this? It does not matter if I'm doing the changes directly in mongodb or as a JSON object using javascript.
Related
I am trying to filter firebase data using startAt and/or endAt.
My data is structured as below.
{
"notes" : {
"-LOs0Ikx4ydM5RatREM1" : {
"data" : {
"dueDate" : 1561629600000,
"description" : "Korewa nan desuka?!",
"createdAt" : 1539611900000,
"title" : "First "
},
"members" : {
"author" : "1212121212121212121212121212"
}
},
"-LOs0Ikx4ydM5RatREM2" : {
"data" : {
"dueDate" : 4004870448000,
"description": "Test"
"createdAt" : 1539611900000,
"title" : "Second"
},
"members" : {
"author" : "1212121212121212121212121212"
}
},
"-LhBt9msLFKqUQ-koI9W" : {
"data" : {
"dueDate" : 1564653600000,
"description" : "abc",
"createdAt" : 1560363158279,
"title" : "August 1"
},
"members" : {
"author" : "3434343434343434343434343434"
}
},
"-LhBtKdDrQv9eKuYdfCi" : {
"data" : {
"dueDate" : 1564653600000,
"description" : "abcdef",
"createdAt" : 1560363158279,
"title" : "August 2"
},
"members" : {
"author" : "3434343434343434343434343434"
}
}
}
}
What I wish is to fetch all "notes" where dueDate has passed.
const now = moment().valueOf() //Eg. 1561629500000
database.ref('notes/')
.orderByChild("dueDate")
.endAt(now)
.once("value", (snapshot) => {
console.log('Process expired notes')
snapshot.forEach( (data) => {
const obj = data.val()
console.log('Date comparison:', (now >= obj.data.alertDate))
...
The code above does not work, it returns all the objects from the example JSON. The console.log logs "False" for three out of four returned objects.
I could do a comparison and only process the objects that meets my criteria, but that would defeat the purpose.
I have indexed the database on ["notes\data\alertDate"].
What am I missing? I must have misinterpreted the documentation somehow. :)
Your dueDate property is nested under data, so you need to address is as data/dueDate:
database.ref('notes')
.orderByChild("data/dueDate")
You might want to include both a startAt() and endAt() clause, with just a reasonable value for startAt() and the specific value you're already using for endAt().
I'm trying to update the comment_delete = 'false' to 'true' on the second object within an array. Help Please ....
"_id" : "jLkRdxocZzheefWF3",
"comments" : [
{
"comment_id" : "\u0003624334",
"comment" : " test",
"user" : "peter pan",
"userId" : "MQtp4i8bZeLYSLbr5",
"comment_delete" : "false"
},
{
"comment_id" : "\u0007973101",
"comment" : " add",
"user" : "peter pan",
"userId" : "MQtp4i8bZeLYSLbr5",
"comment_delete" : "false"
}
],
}
Try this query:
db.collection.update(
{_id:"jLkRdxocZzheefWF3"}, //add your first match criteria here, keep '{}' if no filter needed.
{$set:{"comments.$[element].comment_delete":"true"}},
{arrayFilters:[{"element.comment_id":"\u0007973101"}]}
)
I dont have an idea about your match criteria since you didnt mention it in the question. Change them as per your requirements. This change comment_delete to true as per the comment_id mentioned.
Output is:
{
"_id" : "jLkRdxocZzheefWF3",
"comments" : [
{
"comment_id" : "\u0003624334",
"comment" : " test",
"user" : "peter pan",
"userId" : "MQtp4i8bZeLYSLbr5",
"comment_delete" : "false"
},
{
"comment_id" : "\u0007973101",
"comment" : " add",
"user" : "peter pan",
"userId" : "MQtp4i8bZeLYSLbr5",
"comment_delete" : "true"
}
]
}
db.users.update({'_id':'jLkRdxocZzheefWF3',"comments.comment_id":"\u0007973101"},{$set:{'comments.$.comment_delete':true}})
Try above mentioned query it works
My current doc is like this
{
"_id" : ObjectId("55ece69df332eb0000d34e12"),
"parent" : "P1",
"hierarchy" : {},
"hidden" : false,
"type" : "xyz",
"name" : "Mike",
"code" : "M110",
"date" : ISODate("2015-09-07T01:21:33.965Z"),
"__v" : 3,
"job_id" : "ca50fdf0-6904-11e6-b9af-1b0ea5d7f792"
}
now i want to have job_id as array instead. So i changed the field type to array in model schema. Now when I try to update the existing docs with some changes.
Document before saving looks like this
{
"_id" : ObjectId("55ece69df332eb0000d34e12"),
"parent" : "P1",
"hierarchy" : {},
"hidden" : false,
"type" : "xyz",
"name" : "Mike",
"code" : "M110",
"date" : ISODate("2015-09-07T01:21:33.965Z"),
"__v" : 3,
"job_id" : ["ca50fdf0-6904-11e6-b9af-1b0ea5d7f792",
"f1f04a95-42fa-41e5-a2c6-89c52c9c63f2"
]
}
so when i call model.save() method i'm getting following error:
{ [MongoError: The field 'job_id' must be an array but is of type String in document {_id: ObjectId('55ece69df332eb0000d34e12')}]
name: 'MongoError',
code: 16837,
err: 'The field \'job_id\' must be an array but is of type String in document {_id: ObjectId(\'55ece69df332eb0000d34e12\')}' }
What is the best way to handle this??
I am trying to grab every project by the members within them -- I've created a sample datastructure though the actual structure is much larger (as in it would be difficult to restructure the database).
Here is my query:
var ref = new Firebase(FBURL + '/chat/meta/project');
var email = 'kerry#email.com';
ref
.orderByChild("email")
.equalTo(email)
.on("child_added", function(snapshot) {
console.log(snapshot.val());
}
);
It is important to note that if I remove the .equalTo(email) that it returns all of the "projects", when it should only return 2 of them.
Here is the data in Firebase:
{
"chat" : {
"meta" : {
"project" : {
"-KAgjWOxjk80HIbNr68M" : {
"name" : "Gman Branding",
"url" : "http://localhost:3000/project/abc123fasd123cc/...",
"date" : "2015-10-10T21:33:25.170Z",
"member" : {
"-KAgkD-2GVESwNwKP3fA" : {
"email" : "abc#gman.com"
},
"-KAgkP3M4nug9Bjn-vY6" : {
"email" : "def#gman.com"
},
"-KAgkP3OF0sUgc9x9p37" : {
"email" : "ghi#gman.com"
},
"-KAgkaMyEOiXft6o-HbO" : {
"email" : "kerry#email.com"
}
}
},
"-KAgl9xlPDU5T4072FgE" : {
"-KAglqH9pxkhgC84_kAl" : {
"name" : "YuDog",
"url" : "http://localhost:3000/project/abc123fasd123cc/...",
"date" : "2015-10-10T21:41:31.172Z"
},
"name" : "billing test 1",
"url" : "http://localhost:3000/project/abc123fasd123cc/...",
"date" : "2015-02-25T23:18:55.626Z",
"dateNotifyUnread" : "2016-01-25T23:23:55.626Z",
"member" : {
"-KAglNsswyk66qUZNrTU" : {
"email" : "kerry#email.com"
}
}
},
"-KAgltmLk2oOYhEDfwRL" : {
"-KAgm1Jt5q53gzLm1GIh" : {
"name" : "YuDog",
"url" : "http://localhost:3000/project/abc123fasd123cc/...",
"date" : "2015-10-10T21:41:31.172Z"
},
"name" : "YuDog",
"url" : "http://localhost:3000/project/abc123fasd123cc/...",
"date" : "2015-10-10T21:41:31.172Z",
"member" : {
"-KAgm1Jvss9AMZa1qDb7" : {
"email" : "joe#yudog.com"
}
}
},
"-KAgluTcE_2dv00XDm1L" : {
"-KAgm6ENmkpDiDG2lqZ4" : {
"name" : "YuDog Landing Page",
"url" : "http://localhost:3000/project/abc123fasd123cc/...",
"date" : "2015-10-10T21:41:31.172Z"
},
"-KAgmBptbeInutRzNinm" : {
"name" : "YuDog Landing Page",
"url" : "http://localhost:3000/project/abc123fasd123cc/...",
"date" : "2015-10-10T21:41:31.172Z"
},
"name" : "YuDog Landing Page",
"url" : "http://localhost:3000/project/abc123fasd123cc/...",
"date" : "2015-10-10T21:41:31.172Z",
"member" : {
"-KAgm6EQcvQg3oP-OnIF" : {
"email" : "joe#yudog.com"
},
"-KAgmBpwoxPYGXS9fLZ9" : {
"email" : "joe#yudog.com"
}
}
}
}
}
}
}
I've looked at 8-10 other links on SO but haven't found any that solve this issue.
The solution is to create a data structure that matches your needs. In this case, you want to look up the projects for a user based on their email address. So we'll add a node that contains this mapping:
"projects_by_email": {
"kerry#email,com": {
"-KAgjWOxjk80HIbNr68M": true,
"-KAgl9xlPDU5T4072FgE": true
},
"abc#gman,com": {
"-KAgjWOxjk80HIbNr68M": true
}
...
}
This is called denormalizing your data, although I often think of them as inverted indexes. I would probably keep the projects by uid, but the structure would be the same.
With a structure like this, you can get the list of projects for an email with a simple direct look up:
var ref = new Firebase(FBURL);
var email = 'kerry#email.com';
ref.child('projects_by_email')
.child(email)
.on("child_added", function(snapshot) {
console.log(snapshot.key());
}
);
Or if you then also want to "join" the projects themselves:
var ref = new Firebase(FBURL);
var email = 'kerry#email.com';
ref.child('projects_by_email')
.child(email)
.on("child_added", function(snapshot) {
ref.child('project').child(snapshot.key()).once('value', function(projectSnapshot) {
console.log(projectSnapshot.val());
});
}
);
This type of denormalizing is a normal part of NoSQL data modeling. The duplication may feel wasteful, but it is part of why NoSQL solution scale so well: none of the code above asks the database to consider all projects/all users. It's all directly accessing the correct nodes, which scales really well. So we're sacrificing storage space to gain improved performance/scalability; a typical space vs time trade-off.
This line in my JS file:
RedQueryBuilderFactory.create(config,
'SELECT "x0"."title", "x0"."priority" FROM "ticket" "x0" WHERE ("x0"."status" = (?))',
[]
);
works fine witih an empty array as the 3rd parameter. This parameter is supposed to be an array of strings according to the documentation and any sample code I can find. When I pass a string in the array it fails:
RedQueryBuilderFactory.create(config,
'SELECT "x0"."title", "x0"."priority" FROM "ticket" "x0" WHERE ("x0"."status" = (?))',
['in_process']
);
I get java.lang.ClassCastException in the Safari console. Here's the related part of the config if it's relevant:
var config = {
meta : {
tables : [ {
"name" : "ticket",
"label" : "Ticket",
"columns" : [ {
"name" : "title",
"label" : "Title",
"type" : "STRING",
"size" : 255
}, {
"name" : "priority",
"label" : "Priority",
"type" : "REF"
} ],
fks : []
} ],
types : [ {
"name" : "REF",
"editor" : "SELECT",
"operators" : [ {
"name" : "IN",
"label" : "any of",
"cardinality" : "MULTI"
}]
} ]
}
};
Looks like this is a bug in passing in parameter values. Internally it is expecting a collection but this is not happening.
Best if you raise a https://github.com/salk31/RedQueryBuilder bug report here?
NB Should be "IN" not "="