I have a list with products and locations. I've created a filterdefinition and can filter products based on a location.
Now I want to export te filtered selection to print it to an pdf.
I've tried to acces the filtered items with the ajax framework, but can't find any information on how to retrieve the filtered id's.
My printhandler works fine, I only need to get the ID's of selected items in the filter.
scopes:
location:
label: Location
modelClass: XXX\xxxx\Models\Location
conditions: location_id in (:filtered)
nameFrom: location
As always, found a solution after asking for one;
Found a piece of code:
function getCurrentFilters() {
$filters = [];
foreach (\Session::get('widget', []) as $name => $item) {
if (str_contains($name, 'Filter')) {
$filter = #unserialize(#base64_decode($item));
if ($filter) {
//$filters[] = $filter;
array_push($filters, $filter);
}
}
}
return $filters;
}
Want to search all matching pattern from Mongo DB nested fields with dynamic keys.
DB Structure:
_id: 'dsdsdsadadad',
results: {
tables: {
jvm: {
data: [
{
Prediction: 1,
Jvm: 'service_name',
Status: 'OK'
},
{
second: 'New second set'
}
}
}
}
Tried By $,
db.col_name.find('results.tables.jvm.data.$.Jvm': {'$regexp': 'service.*'})
By using $i
db.col_name.find('results.tables.jvm.data.$i.Jvm': {'$regexp': 'service.*'})
By giving particular key 0 also,
db.col_name.find('results.tables.jvm.data.0.Jvm': {'$regexp': 'service.*'})
No results!
Expected O/P:
The above doc and where all Jvm starts with service* keyword
Thanks,
You should directly use the dot notation to query an array of nested objects:
db.collection.find({ "results.tables.jvm.data.Jvm": { $regex: "service.*" } })
MongoDB will try to find every document that contains at least one nested document under data having Jvm field matching your regex.
MongoDB Playground
I have some documents, how can use a view to get the document which have the same domain name for their email address. like all the document with #gmail.com or #yahoo.com, if endkey can get that results?
Here is what I wrote a view on map, But I do not think this is good idea
function(doc) {
for (var i in doc.emails) {
if (doc.emails[i].emailAddress.toLowerCase().indexOf("#yahoo.ibm.com")!=-1) {
emit(doc.emails[i].emailAddress.toLowerCase(), doc);
}
}
}
}
To make things clear, the endkey parameter is not looking for a suffix. Startkey and endkey are like the limits of keys to get. For example, you could get the document with the id 1 to the id 10 startkey="1"&endkey="10" .
In your case, you want to make a view that will group your documents by their domain name. I created a design document with a byDomain view. The mapping function looks like this :
function(doc){
if(doc.email){ //I used the document's property email for my view.
//Now, we will emit an array key. The first value will be the domain.
//To get the domain, we split the string with the character '#' and we take what comes after.
//Feel free to add more validations
//The second key will be the document id. We don't emit any values. It's faster to simply add
//the includes_docs query parameter.
emit([doc.email.split('#')[1],doc._id]);
}
}
Let's query all my documents to show you what I have
Request : http://localhost:5984/test/_all_docs?include_docs=true
Response:
{"total_rows":4,"offset":0,"rows":[
{"id":"7f34ec3b9332ab4e555bfca202000e5f","key":"7f34ec3b9332ab4e555bfca202000e5f","value":{"rev":"1-c84cf3bf33e1d853f99a4a5cb0a4af74"},"doc":{"_id":"7f34ec3b9332ab4e555bfca202000e5f","_rev":"1-c84cf3bf33e1d853f99a4a5cb0a4af74","email":"steve#gmail.com"}},
{"id":"7f34ec3b9332ab4e555bfca202001101","key":"7f34ec3b9332ab4e555bfca202001101","value":{"rev":"1-53a8a9f2a24d812fe3c98ad0fe020197"},"doc":{"_id":"7f34ec3b9332ab4e555bfca202001101","_rev":"1-53a8a9f2a24d812fe3c98ad0fe020197","email":"foo#example.com"}},
{"id":"7f34ec3b9332ab4e555bfca202001b02","key":"7f34ec3b9332ab4e555bfca202001b02","value":{"rev":"1-cccec02fe7172fb637ac430f0dd25fa2"},"doc":{"_id":"7f34ec3b9332ab4e555bfca202001b02","_rev":"1-cccec02fe7172fb637ac430f0dd25fa2","email":"bar#gmail.com"}},
{"id":"_design/emails","key":"_design/emails","value":{"rev":"4-76785063c7dbeec96c495db76a8faded"},"doc":{"_id":"_design/emails","_rev":"4-76785063c7dbeec96c495db76a8faded","views":{"byDomain":{"map":"\t\tfunction(doc){\n\t\t\tif(doc.email){ //I used the document's property email for my view.\n\t\t\t\t//Now, we will emit an array key. The first value will be the domain.\n\t\t\t\t//To get the domain, we split the string with the character '#' and we take what comes after.\n\t\t\t\t//Feel free to add more validations\n\t\t\t\t//The second key will be the document id. We don't emit any values. It's faster to simply add\n\t\t\t\t//the includes_docs query parameter.\n\t\t\t\temit([doc.email.split('#')[1],doc._id]); \n\t\t\t}\n\t\t}"}},"language":"javascript"}}
]}
As you can see, I got few minimalist documents with the property "email" set.
Let's query my view without any parameters
Request : http://localhost:5984/test/_design/emails/_view/byDomain
Response :
{"total_rows":3,"offset":0,"rows":[
{"id":"7f34ec3b9332ab4e555bfca202001101","key":["example.com","7f34ec3b9332ab4e555bfca202001101"],"value":null},
{"id":"7f34ec3b9332ab4e555bfca202000e5f","key":["gmail.com","7f34ec3b9332ab4e555bfca202000e5f"],"value":null},
{"id":"7f34ec3b9332ab4e555bfca202001b02","key":["gmail.com","7f34ec3b9332ab4e555bfca202001b02"],"value":null}
]}
Let's query only documents with that have the gmail.com domain.
Request : http://localhost:5984/test/_design/emails/_view/byDomain?startkey=["gmail.com"]&endkey=["gmail.com","\ufff0"]
Result :
{"total_rows":3,"offset":1,"rows":[
{"id":"7f34ec3b9332ab4e555bfca202000e5f","key":["gmail.com","7f34ec3b9332ab4e555bfca202000e5f"],"value":null},
{"id":"7f34ec3b9332ab4e555bfca202001b02","key":["gmail.com","7f34ec3b9332ab4e555bfca202001b02"],"value":null}
]}
You can just use a simple map function for this:
function (doc) {
var domain = doc.email.split('#').pop();
// this logic is fairly hack-ish, you may want to be more sophisticated
emit(domain);
}
Then you can simply pass key=gmail.com to get the results you want from the view. I would also add include_docs=true instead of emitting the entire document as your value.
You can read more about views in the official CouchDB docs.
I've currently migrating to the 2013 Cloudsearch API (from the 2011 API). Previously, I had been using a wildcard prefix with my searches, like this:
bq=(and 'first secon*')
My queries sometimes include facet options, which is why I use the boolean query syntax and not the simple version.
I've created a new cloudsearch instance using the 2013 engine and indexed it. The bq parameter is gone now, so I have to use the q parameter with the q.parser=structured parameter to get the same functionality. When I query with something like this:
q.parser=simple&q=first secon*
...I get back a load of results. But when I query with this:
q.parser=structured&q=(prefix 'first secon')
...I get no hits. I don't get an error, just no results found. Am I doing something wrong?
I've just realized that if I do a prefix search for the word firs with the 2013 API, the prefix search seems to be working. But if I have any more than a single term in the query e.g. first secon then the prefix search does not work. So how is this accomplished using the structured prefix operator?
You need to specify the prefix operator for each separate query term, eg:
q=(or (prefix 'firs') (prefix 'secon'))&q.parser=structured
If someones looking for JS code to solve this issue. What you need to do is split the user input on space, and store them in an array. The join the words you want to query back together with pipes.
var params = {
query: ''
};
//Check for spaces
let words = query.split(' ');
let chunks = [];
words.forEach(word => {
chunks.push(`${word}* | ${word}`);
})
params.query = chunks.join(' | ');
cloudsearch.search(params, function(err, data) {
if (err) {
reject(err);
} else {
resolve(data);
}
});
I've created a number of users in Parse. There're Facebook users and non-Facebook user. For each Facebook user I've saved an extra column of "facebookID".
Now I'd like to get all the ParseUsers that are Facebook Users. So I applied a Task to query the users with "facebookID" in them.
var Task = ParseUser.Query.WhereExists("facebookID").FindAsync().ContinueWith(t=>{
if (t.IsFaulted || t.IsCanceled) {
Debug.Log ("t.Exception=" + t.Exception);
//cannot load friendlist
return;
}
else{
fbFriends = t.Result;
foreach(var result in fbFriends){
string id = (string)result["facebookID"];
//facebookUserIDList is a List<string>
facebookUserIDList.Add(id);
}
return;
}
});
The above code works perfectly. However, I'd like to get more data from each Facebook User, for example, the current_coins that the user has. So I change the foreach loop to:
foreach(var result in fbFriends){
string id = (string)result["facebookID"];
int coins = (int)result["current_coins"];
//facebookUserIDList is a List<string>
facebookUserIDList.Add(id);
}
I've changed the facebookUserIDList into a List<Dictionary<string,object>> instead of a List<string> in order to save the other data as well. But the foreach loop does not run at all. Does it mean I can only get the facebookID from it because I specified WhereExists("facebookID") in FindAsync()? Can anybody explain it to me please?
Thank you very much in advance.
it should contain all Parse primitive data type(such as Boolean, Number, String, Date...) for each Object. but not Pointers nor Relation.
for Pointers, you can explicitly include them in the result using the "Include" method
for any ParseRelation you have to requery them