extjs4 - bulk insert in store cause a performance issue - grid

Copying the rows from the grid and inserting into same grid in begining (insert at position 0).
It was causing performance issue, as soon as hits more than 10 rows. I started using
store.suspendEvents(true);
foreach(..)
{
r = ...
store.insert(0, r);
}
store.resumeEvents();
It improves a performance, as grid is no longer getting refresh with each insert of row in the store. however for some reason it throws exception while indexing the rows in the store. I think because store events are suspended, its going in some bad state.
fyi. its adding second row in the last again, where it throws with exception message.
Any other suggestion on how to handle this situation in any other way is welcome.

You should create a store and then have the grid use that store. You can then manage the store as needed and the data will automatically be available to the grid. Something like:
var the_store = Ext.create('My.store.Foo', {
extend: 'Ext.data.Store',
fields: ['id','name'],
...
proxy: {
...
}
});
var the_grid = Ext.create('My.view.Grid', {
extend: 'Ext.grid.Panel',
...
store: the_store,
...
});

Related

Meteor GroundDB granularity for offline/online syncing

Let's say that two users do changes to the same document while offline, but in different sections of the document. If user 2 goes back online after user 1, will the changes made by user 1 be lost?
In my database, each row contains a JS object, and one property of this object is an array. This array is bound to a series of check-boxes on the interface. What I would like is that if two users do changes to those check-boxes, the latest change is kept for each check-box individually, based on the time the when the change was made, not the time when the syncing occurred. Is GroundDB the appropriate tool to achieve this? Is there any mean to add an event handler in which I can add some logic that would be triggered when syncing occurs, and that would take care of the merging ?
The short answer is "yes" none of the ground db versions have conflict resolution since the logic is custom depending on the behaviour of conflict resolution eg. if you want to automate or involve the user.
The old Ground DB simply relied on Meteor's conflict resolution (latest data to the server wins) I'm guessing you can see some issues with that depending on the order of when which client comes online.
Ground db II doesn't have method resume it's more or less just a way to cache data offline. It's observing on an observable source.
I guess you could create a middleware observer for GDB II - one that checks the local data before doing the update and update the client or/and call the server to update the server data. This way you would have a way to handle conflicts.
I think to remember writing some code that supported "deletedAt"/"updatedAt" for some types of conflict handling, but again a conflict handler should be custom for the most part. (opening the door for reusable conflict handlers might be useful)
Especially knowing when data is removed can be tricky if you don't "soft" delete via something like using a "deletedAt" entity.
The "rc" branch is currently grounddb-caching-2016 version "2.0.0-rc.4",
I was thinking about something like:
(mind it's not tested, written directly in SO)
// Create the grounded collection
foo = new Ground.Collection('test');
// Make it observe a source (it's aware of createdAt/updatedAt and
// removedAt entities)
foo.observeSource(bar.find());
bar.find() returns a cursor with a function observe our middleware should do the same. Let's create a createMiddleWare helper for it:
function createMiddleWare(source, middleware) {
const cursor = (typeof (source||{}).observe === 'function') ? source : source.find();
return {
observe: function(observerHandle) {
const sourceObserverHandle = cursor.observe({
added: doc => {
middleware.added.call(observerHandle, doc);
},
updated: (doc, oldDoc) => {
middleware.updated.call(observerHandle, doc, oldDoc);
},
removed: doc => {
middleware.removed.call(observerHandle, doc);
},
});
// Return stop handle
return sourceObserverHandle;
}
};
}
Usage:
foo = new Ground.Collection('test');
foo.observeSource(createMiddleware(bar.find(), {
added: function(doc) {
// just pass it through
this.added(doc);
},
updated: function(doc, oldDoc) {
const fooDoc = foo.findOne(doc._id);
// Example of a simple conflict handler:
if (fooDoc && doc.updatedAt < fooDoc.updatedAt) {
// Seems like the foo doc is newer? lets update the server...
// (we'll just use the regular bar, since thats the meteor
// collection and foo is the grounded data
bar.update(doc._id, fooDoc);
} else {
// pass through
this.updated(doc, oldDoc);
}
},
removed: function(doc) {
// again just pass through for now
this.removed(doc);
}
}));

How do I reverse order based on my unique ids from push() [duplicate]

I'm trying to test out Firebase to allow users to post comments using push. I want to display the data I retrieve with the following;
fbl.child('sell').limit(20).on("value", function(fbdata) {
// handle data display here
}
The problem is the data is returned in order of oldest to newest - I want it in reversed order. Can Firebase do this?
Since this answer was written, Firebase has added a feature that allows ordering by any child or by value. So there are now four ways to order data: by key, by value, by priority, or by the value of any named child. See this blog post that introduces the new ordering capabilities.
The basic approaches remain the same though:
1. Add a child property with the inverted timestamp and then order on that.
2. Read the children in ascending order and then invert them on the client.
Firebase supports retrieving child nodes of a collection in two ways:
by name
by priority
What you're getting now is by name, which happens to be chronological. That's no coincidence btw: when you push an item into a collection, the name is generated to ensure the children are ordered in this way. To quote the Firebase documentation for push:
The unique name generated by push() is prefixed with a client-generated timestamp so that the resulting list will be chronologically-sorted.
The Firebase guide on ordered data has this to say on the topic:
How Data is Ordered
By default, children at a Firebase node are sorted lexicographically by name. Using push() can generate child names that naturally sort chronologically, but many applications require their data to be sorted in other ways. Firebase lets developers specify the ordering of items in a list by specifying a custom priority for each item.
The simplest way to get the behavior you want is to also specify an always-decreasing priority when you add the item:
var ref = new Firebase('https://your.firebaseio.com/sell');
var item = ref.push();
item.setWithPriority(yourObject, 0 - Date.now());
Update
You'll also have to retrieve the children differently:
fbl.child('sell').startAt().limitToLast(20).on('child_added', function(fbdata) {
console.log(fbdata.exportVal());
})
In my test using on('child_added' ensures that the last few children added are returned in reverse chronological order. Using on('value' on the other hand, returns them in the order of their name.
Be sure to read the section "Reading ordered data", which explains the usage of the child_* events to retrieve (ordered) children.
A bin to demonstrate this: http://jsbin.com/nonawe/3/watch?js,console
Since firebase 2.0.x you can use limitLast() to achieve that:
fbl.child('sell').orderByValue().limitLast(20).on("value", function(fbdataSnapshot) {
// fbdataSnapshot is returned in the ascending order
// you will still need to order these 20 items in
// in a descending order
}
Here's a link to the announcement: More querying capabilities in Firebase
To augment Frank's answer, it's also possible to grab the most recent records--even if you haven't bothered to order them using priorities--by simply using endAt().limit(x) like this demo:
var fb = new Firebase(URL);
// listen for all changes and update
fb.endAt().limit(100).on('value', update);
// print the output of our array
function update(snap) {
var list = [];
snap.forEach(function(ss) {
var data = ss.val();
data['.priority'] = ss.getPriority();
data['.name'] = ss.name();
list.unshift(data);
});
// print/process the results...
}
Note that this is quite performant even up to perhaps a thousand records (assuming the payloads are small). For more robust usages, Frank's answer is authoritative and much more scalable.
This brute force can also be optimized to work with bigger data or more records by doing things like monitoring child_added/child_removed/child_moved events in lieu of value, and using a debounce to apply DOM updates in bulk instead of individually.
DOM updates, naturally, are a stinker regardless of the approach, once you get into the hundreds of elements, so the debounce approach (or a React.js solution, which is essentially an uber debounce) is a great tool to have.
There is really no way but seems we have the recyclerview we can have this
query=mCommentsReference.orderByChild("date_added");
query.keepSynced(true);
// Initialize Views
mRecyclerView = (RecyclerView) view.findViewById(R.id.recyclerView);
mManager = new LinearLayoutManager(getContext());
// mManager.setReverseLayout(false);
mManager.setReverseLayout(true);
mManager.setStackFromEnd(true);
mRecyclerView.setHasFixedSize(true);
mRecyclerView.setLayoutManager(mManager);
I have a date variable (long) and wanted to keep the newest items on top of the list. So what I did was:
Add a new long field 'dateInverse'
Add a new method called 'getDateInverse', which just returns: Long.MAX_VALUE - date;
Create my query with: .orderByChild("dateInverse")
Presto! :p
You are searching limitTolast(Int x) .This will give you the last "x" higher elements of your database (they are in ascending order) but they are the "x" higher elements
if you got in your database {10,300,150,240,2,24,220}
this method:
myFirebaseRef.orderByChild("highScore").limitToLast(4)
will retrive you : {150,220,240,300}
In Android there is a way to actually reverse the data in an Arraylist of objects through the Adapter. In my case I could not use the LayoutManager to reverse the results in descending order since I was using a horizontal Recyclerview to display the data. Setting the following parameters to the recyclerview messed up my UI experience:
llManager.setReverseLayout(true);
llManager.setStackFromEnd(true);
The only working way I found around this was through the BindViewHolder method of the RecyclerView adapter:
#Override
public void onBindViewHolder(final RecyclerView.ViewHolder holder, int position) {
final SuperPost superPost = superList.get(getItemCount() - position - 1);
}
Hope this answer will help all the devs out there who are struggling with this issue in Firebase.
Firebase: How to display a thread of items in reverse order with a limit for each request and an indicator for a "load more" button.
This will get the last 10 items of the list
FBRef.child("childName")
.limitToLast(loadMoreLimit) // loadMoreLimit = 10 for example
This will get the last 10 items. Grab the id of the last record in the list and save for the load more functionality. Next, convert the collection of objects into and an array and do a list.reverse().
LOAD MORE Functionality: The next call will do two things, it will get the next sequence of list items based on the reference id from the first request and give you an indicator if you need to display the "load more" button.
this.FBRef
.child("childName")
.endAt(null, lastThreadId) // Get this from the previous step
.limitToLast(loadMoreLimit+2)
You will need to strip the first and last item of this object collection. The first item is the reference to get this list. The last item is an indicator for the show more button.
I have a bunch of other logic that will keep everything clean. You will need to add this code only for the load more functionality.
list = snapObjectAsArray; // The list is an array from snapObject
lastItemId = key; // get the first key of the list
if (list.length < loadMoreLimit+1) {
lastItemId = false;
}
if (list.length > loadMoreLimit+1) {
list.pop();
}
if (list.length > loadMoreLimit) {
list.shift();
}
// Return the list.reverse() and lastItemId
// If lastItemId is an ID, it will be used for the next reference and a flag to show the "load more" button.
}
I'm using ReactFire for easy Firebase integration.
Basically, it helps me storing the datas into the component state, as an array. Then, all I have to use is the reverse() function (read more)
Here is how I achieve this :
import React, { Component, PropTypes } from 'react';
import ReactMixin from 'react-mixin';
import ReactFireMixin from 'reactfire';
import Firebase from '../../../utils/firebaseUtils'; // Firebase.initializeApp(config);
#ReactMixin.decorate(ReactFireMixin)
export default class Add extends Component {
constructor(args) {
super(args);
this.state = {
articles: []
};
}
componentWillMount() {
let ref = Firebase.database().ref('articles').orderByChild('insertDate').limitToLast(10);
this.bindAsArray(ref, 'articles'); // bind retrieved data to this.state.articles
}
render() {
return (
<div>
{
this.state.articles.reverse().map(function(article) {
return <div>{article.title}</div>
})
}
</div>
);
}
}
There is a better way. You should order by negative server timestamp. How to get negative server timestamp even offline? There is an hidden field which helps. Related snippet from documentation:
var offsetRef = new Firebase("https://<YOUR-FIREBASE-APP>.firebaseio.com/.info/serverTimeOffset");
offsetRef.on("value", function(snap) {
var offset = snap.val();
var estimatedServerTimeMs = new Date().getTime() + offset;
});
To add to Dave Vávra's answer, I use a negative timestamp as my sort_key like so
Setting
const timestamp = new Date().getTime();
const data = {
name: 'John Doe',
city: 'New York',
sort_key: timestamp * -1 // Gets the negative value of the timestamp
}
Getting
const ref = firebase.database().ref('business-images').child(id);
const query = ref.orderByChild('sort_key');
return $firebaseArray(query); // AngularFire function
This fetches all objects from newest to oldest. You can also $indexOn the sortKey to make it run even faster
I had this problem too, I found a very simple solution to this that doesn't involved manipulating the data in anyway. If you are rending the result to the DOM, in a list of some sort. You can use flexbox and setup a class to reverse the elements in their container.
.reverse {
display: flex;
flex-direction: column-reverse;
}
myarray.reverse(); or this.myitems = items.map(item => item).reverse();
I did this by prepend.
query.orderByChild('sell').limitToLast(4).on("value", function(snapshot){
snapshot.forEach(function (childSnapshot) {
// PREPEND
});
});
Someone has pointed out that there are 2 ways to do this:
Manipulate the data client-side
Make a query that will order the data
The easiest way that I have found to do this is to use option 1, but through a LinkedList. I just append each of the objects to the front of the stack. It is flexible enough to still allow the list to be used in a ListView or RecyclerView. This way even though they come in order oldest to newest, you can still view, or retrieve, newest to oldest.
You can add a column named orderColumn where you save time as
Long refrenceTime = "large future time";
Long currentTime = "currentTime";
Long order = refrenceTime - currentTime;
now save Long order in column named orderColumn and when you retrieve data
as orderBy(orderColumn) you will get what you need.
just use reverse() on the array , suppose if you are storing the values to an array items[] then do a this.items.reverse()
ref.subscribe(snapshots => {
this.loading.dismiss();
this.items = [];
snapshots.forEach(snapshot => {
this.items.push(snapshot);
});
**this.items.reverse();**
},
For me it was limitToLast that worked. I also found out that limitLast is NOT a function:)
const query = messagesRef.orderBy('createdAt', 'asc').limitToLast(25);
The above is what worked for me.
PRINT in reverse order
Let's think outside the box... If your information will be printed directly into user's screen (without any content that needs to be modified in a consecutive order, like a sum or something), simply print from bottom to top.
So, instead of inserting each new block of content to the end of the print space (A += B), add that block to the beginning (A = B+A).
If you'll include the elements as a consecutive ordered list, the DOM can put the numbers for you if you insert each element as a List Item (<li>) inside an Ordered Lists (<ol>).
This way you save space from your database, avoiding unnecesary reversed data.

Extend a meteor collection server and client side

I am currently developping an app with the amazing Meteor platform. I would like to do something with my collections but I couldn't really find how to do it from the examples I have seen so far.
Basically I would like to display a list of items which contains their own countdown. Each items core data come from a collection. Each countdown starting times must be computed server side and not saved anywhere. Each countdown are computed client side and not saved anywhere.
I have a collection named "items" coming from my MongoDb db. At the beginning document in my collections could look like:
{ name: "My countdown"}
1) I would like to "extend" the documents server side in adding a computed property "startTime". A documents could look like then:
{ name: "My countdown", startTime: 40 }
I guess I need to use the publish method, but I don't really get how to extend existing documents that way.
2) I would like to "extend" the documents client side in adding a local property "currentTime", that i will update with a setInterval. A document could look like then:
{ name: "My countdown", startTime: 40, currentTime: 5 }
Maybe using a transform there but once again I don't really get how to extend existing documents.
3) I would likethoses 2 new properties reactives and so trigger some updates in the UI if they change.
So if i could get any starting points and good pratices it will be really appreciated :)
Many thanks for your help!!
You can update a document of a Collection: Best practice is to do this on the server.
client.js
Meteor.call('setStartTime',
[your_document_id],
[new_start_time],
function(err, val) {
if (err) {
console.error(err);
} else {
// Successful.
}
});
server.js
Meteor.methods({
'setStartTime': function(itemId, newStartTime) {
Items.update(itemId, {
$set: { startTime: newStartTime }
});
}
});
This will set or update the startTime of your item. (Be cautious, as anyone with access to your JavaScript will be able to see your setStartTime call on the client. This is functional, but not secure.)

How can I update multiple collections in Meteor in the same transaction?

I have the following client-side code (with two collections A and B):
var id = A.insert({name: 'new element of A');
var b = B.findOne({name: 'parent of new element of A'});
B.update(b._id, { $set: { child: id } });
The above code works fine, i.e., the server side collections are correctly updated. The problem happens on the client where I have a template that reacts on both A and B collection changes.
The template reacts as follows:
It immediately redraws itself, based on the latency compensation mechanism, showing the correct changes for both collections
Soon after, it redraws itself again but without the changes (as if they had been rejected)
It does not refresh automatically anymore afterwards. But, if I hit the refresh button, the template redraws once more and now shows the correctly updated collections (both A and B)
On the second refresh only one of the collection (the parent B) has been updated and the template displays incoherent data (as if the updates had not happened).
I think this is because I am not dealing here with one single transaction that updates both collections at the same time, confusing the client side template.
How can I solve this?
EDIT:
I must add that in my case I have two complementing subscriptions to the child database:
var A = new Meteor.Collection('children');
handle1 = Meteor.subscribe('children1');
handle2 = Meteor.subscribe('children2');
and on the server
Meteor.publish('children1', function () {
return A.find({ sex: male });
}
Meteor.publish('children2', function () {
return A.find({ sex: female });
}
Could this be the reason for, when I insert a new element in A, I get the weird behavior described above?
it might work better if you do it all in one command
B.update({name: 'parent of new element of A'}, { $set: { child: A.insert({name: 'new element of A') } });
you'll have to put this in a method since you arent updating based on the id
you could also try to manually call Deps.flush() after the operations, that shouldnt be needed, but its something to try

Using the deep:true query option with a dojo ObjectStore adapter

I'm new to Dojo, and I'm trying to get my head wrapped around some pretty basic concepts before my partner and I embark on a new project. I've been successful in using the ItemFileWriteStore to get data returned from an ajax request into a DataGrid, but I would like to use the new Memory store instead. I am using the ObjectStore adapter to wrap the Memory store, and data is being populated in the grid.
One thing has me worried. In the example code I'm running, there is some nested nodes in the JSON object I'm using to populate the grid. It's one of the Countries JSON object they use in the dojo documentation. Here's a little snippet of that object:
'items': [
{ 'name':'Africa', 'type':'continent', children:[
{ 'name':'Egypt', 'type':'country' },
{ 'name':'Kenya', 'type':'country', children:[
{ 'name':'Nairobi', 'type':'city' },
{ 'name':'Mombasa', 'type':'city' } ]
},
{ 'name':'Sudan', 'type':'country', 'children':
{ 'name':'Khartoum', 'type':'city' }
} ]
},
]
In the DataGrid instantiation, I send in a query and then I set the qureyOptions to {deep:true} like so:
var grid = new DataGrid({
style: "width: 500px; height: 300px;",
store: this._geoStore,
structure: layoutGeo,
rowSelector: '20px',
columnReordering: true,
query: {},
queryOptions: { deep: true },
rowsPerPage: 20
}, document.createElement("div"));
When I use the old ItemFileWriteStore, this works fine, and ALL the nested data is essentially flattened out and placed in the grid as I would expect. However, when I switch it over to a Memory store wrapped in an ObjectStore adapter, the only data displayed in the grid is the top most parent of the data object. In the case of the sample data, only the data associated with Africa, but none of its children, are displayed. So it seems that the queryOptions {deep:true} statement has no affect when using the Memory store.
Is there some way of getting nested data within the JSON objects into a data grid using a Memory store wrapped in an ObjectStore? I would have thought that the wrapper class would have taken care of this, and it might, but I don't know how to fix it.
For all who help, thank you very much for your time and willingness to share your expertise. I really have studied the dojo docs and web for a long time trying to figure this stuff out. I fear I may have glossed over something obvious and am hoping you all can help.
I blogged about the store changes at http://swingingcode.blogspot.com/2012/03/dojo-implementing-viewmodelstore.html
The code here uses the new store object but brings the reference notation from the data api. All objects would be considered top level objects and query-able. I did not implement the logic to pull out nested objects.

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