Search Results

Search found 28584 results on 1144 pages for 'google map v3'.

Page 79/1144 | < Previous Page | 75 76 77 78 79 80 81 82 83 84 85 86  | Next Page >

  • Google Chrome Extensions: Launch Event (part 1)

    Google Chrome Extensions: Launch Event (part 1) Video Footage from the Google Chrome Extensions launch event on 12/09/09. In this part, Brian Rakowski, product management director, provides an update on Google Chrome and explains why extensions are important for the Google Chrome team. From: GoogleDevelopers Views: 5167 17 ratings Time: 04:39 More in Science & Technology

    Read the article

  • How would you gather client's data on Google App Engine without using Datastore/Backend Instances too much?

    - by ruslan
    I'm relatively new to StackExchange and not sure if it's appropriate place to ask design question. Site gives me a hint "The question you're asking appears subjective and is likely to be closed". Please let me know. Anyway.. One of the projects I'm working on is online survey engine. It's my first big commercial project on Google App Engine. I need your advice on how to collect stats and efficiently record them in DataStore without bankrupting me. Initial requirements are: After user finishes survey client sends list of pairs [ID (int) + PercentHit (double)]. This list shows how close answers of this user match predefined answers of reference answerers (which identified by IDs). I call them "target IDs". Creator of the survey wants to see aggregated % for given IDs for last hour, particular timeframe or from the beginning of the survey. Some surveys may have thousands of target/reference answerers. So I created entity public class HitsStatsDO implements Serializable { @Id transient private Long id; transient private Long version = (long) 0; transient private Long startDate; @Parent transient private Key parent; // fake parent which contains target id @Transient int targetId; private double avgPercent; private long hitCount; } But writing HitsStatsDO for each target from each user would give a lot of data. For instance I had a survey with 3000 targets which was answered by ~4 million people within one week with 300K people taking survey in first day. Even if we assume they were answering it evenly for 24 hours it would give us ~1040 writes/second. Obviously it hits concurrent writes limit of Datastore. I decided I'll collect data for one hour and save that, that's why there are avgPercent and hitCount in HitsStatsDO. GAE instances are stateless so I had to use dynamic backend instance. There I have something like this: // Contains stats for one hour private class Shard { ReadWriteLock lock = new ReentrantReadWriteLock(); Map<Integer, HitsStatsDO> map = new HashMap<Integer, HitsStatsDO>(); // Key is target ID public void saveToDatastore(); public void updateStats(Long startDate, Map<Integer, Double> hits); } and map with shard for current hour and previous hour (which doesn't stay here for long) private HashMap<Long, Shard> shards = new HashMap<Long, Shard>(); // Key is HitsStatsDO.startDate So once per hour I dump Shard for previous hour to Datastore. Plus I have class LifetimeStats which keeps Map<Integer, HitsStatsDO> in memcached where map-key is target ID. Also in my backend shutdown hook method I dump stats for unfinished hour to Datastore. There is only one major issue here - I have only ONE backend instance :) It raises following questions on which I'd like to hear your opinion: Can I do this without using backend instance ? What if one instance is not enough ? How can I split data between multiple dynamic backend instances? It hard because I don't know how many I have because Google creates new one as load increases. I know I can launch exact number of resident backend instances. But how many ? 2, 5, 10 ? What if I have no load at all for a week. Constantly running 10 backend instances is too expensive. What do I do with data from clients while backend instance is dead/restarting? Thank you very much in advance for your thoughts.

    Read the article

  • Google I/O Sandbox Case Study: Eureka Streams

    Google I/O Sandbox Case Study: Eureka Streams We interviewed Lockheed Martin at the Google I/O Sandbox on May 10, 2011 and they demoed their product, Eureka Streams, and explained to us the benefits of using web toolkit to build it. Eureka Streams is a social communication platform built to help individuals in large corporations communicate with each other. For more information on Google Web Toolkit, visit: code.google.com For more information on Eureka Streams, visit: www.eurekastreams.org From: GoogleDevelopers Views: 29 0 ratings Time: 02:35 More in Science & Technology

    Read the article

  • Google I/O 2012 - Ten Things Game Developers Should Know

    Google I/O 2012 - Ten Things Game Developers Should Know Dan Galpin, Ian Lewis This session reveals the things experienced game developers do to get good Google Play reviews, create a strong Android user experience, and be considered for featuring in Google Play Apps. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1 0 ratings Time: 56:54 More in Science & Technology

    Read the article

  • Google I/O 2012 - Building Android Applications that Use Web APIs

    Google I/O 2012 - Building Android Applications that Use Web APIs Yaniv Inbar Google offers a large and growing set of back-end services, from AdSense to Tasks to Calendar to Google+, that can enrich your app, and increasingly they have a uniform set of APIs. This session discusses how to use them efficiently and securely, including authenticating safely and with good user experience, and describes Android-specific app-level optimizations. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 563 12 ratings Time: 55:14 More in Science & Technology

    Read the article

  • Google Chrome Extensions: Launch Event (part 5)

    Google Chrome Extensions: Launch Event (part 5) Video Footage from the Google Chrome Extensions launch event on 12/09/09. Xmarks, ebay and Google Translate present their experience developing an extension for Google Chrome. From: GoogleDevelopers Views: 3039 18 ratings Time: 10:30 More in Science & Technology

    Read the article

  • Google I/O 2012 - The Next Generation of Social is in a Hangout

    Google I/O 2012 - The Next Generation of Social is in a Hangout Amit Fulay, Jonathan Beri Make your apps come alive with live audio/video conversations using the Hangouts Platform API. Using the Google+ Hangouts API, you can develop collaborative apps that run inside of a Google+ Hangout. Leave inspired by what you can create with the Hangouts APIs. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 267 10 ratings Time: 56:41 More in Science & Technology

    Read the article

  • How can I gather client's data on Google App Engine without using Datastore/Backend Instances too much?

    - by ruslan
    One of the projects I'm working on is online survey engine. It's my first big commercial project on Google App Engine. I need your advice on how to collect stats and efficiently record them in DataStore without bankrupting me. Initial requirements are: After user finishes survey client sends list of pairs [ID (int) + PercentHit (double)]. This list shows how close answers of this user match predefined answers of reference answerers (which identified by IDs). I call them "target IDs". Creator of the survey wants to see aggregated % for given IDs for last hour, particular timeframe or from the beginning of the survey. Some surveys may have thousands of target/reference answerers. So I created entity public class HitsStatsDO implements Serializable { @Id transient private Long id; transient private Long version = (long) 0; transient private Long startDate; @Parent transient private Key parent; // fake parent which contains target id @Transient int targetId; private double avgPercent; private long hitCount; } But writing HitsStatsDO for each target from each user would give a lot of data. For instance I had a survey with 3000 targets which was answered by ~4 million people within one week with 300K people taking survey in first day. Even if we assume they were answering it evenly for 24 hours it would give us ~1040 writes/second. Obviously it hits concurrent writes limit of Datastore. I decided I'll collect data for one hour and save that, that's why there are avgPercent and hitCount in HitsStatsDO. GAE instances are stateless so I had to use dynamic backend instance. There I have something like this: // Contains stats for one hour private class Shard { ReadWriteLock lock = new ReentrantReadWriteLock(); Map<Integer, HitsStatsDO> map = new HashMap<Integer, HitsStatsDO>(); // Key is target ID public void saveToDatastore(); public void updateStats(Long startDate, Map<Integer, Double> hits); } and map with shard for current hour and previous hour (which doesn't stay here for long) private HashMap<Long, Shard> shards = new HashMap<Long, Shard>(); // Key is HitsStatsDO.startDate So once per hour I dump Shard for previous hour to Datastore. Plus I have class LifetimeStats which keeps Map<Integer, HitsStatsDO> in memcached where map-key is target ID. Also in my backend shutdown hook method I dump stats for unfinished hour to Datastore. There is only one major issue here - I have only ONE backend instance :) It raises following questions on which I'd like to hear your opinion: Can I do this without using backend instance ? What if one instance is not enough ? How can I split data between multiple dynamic backend instances? It hard because I don't know how many I have because Google creates new one as load increases. I know I can launch exact number of resident backend instances. But how many ? 2, 5, 10 ? What if I have no load at all for a week. Constantly running 10 backend instances is too expensive. What do I do with data from clients while backend instance is dead/restarting?

    Read the article

  • Google I/O 2010 Keynote, pt. 12

    Google I/O 2010 Keynote, pt. 12 Video footage from Day 1 keynote at Google I/O 2010 For Google I/O session videos, presentations, developer interviews and more, go to: code.google.com/io From: GoogleDevelopers Views: 1 0 ratings Time: 14:55 More in Science & Technology

    Read the article

  • GDL Presents: Creative Sandbox | Google+ API

    GDL Presents: Creative Sandbox | Google+ API Tune in to hear about two cool, new campaigns that use the Google+ API from the core creative teams at Goodby Silverstein & Partners, Hook and RESN in conversation with a Google+ Developer Relations expert. They'll talk about how they pushed the possibilities of the Google+ API - and will inspire you to do the same. From: GoogleDevelopers Views: 0 0 ratings Time: 01:00:00 More in Science & Technology

    Read the article

  • Google I/O 2010 Keynote, pt. 9

    Google I/O 2010 Keynote, pt. 9 Video footage from Day 1 keynote at Google I/O 2010 For Google I/O session videos, presentations, developer interviews and more, go to: code.google.com/io From: GoogleDevelopers Views: 0 0 ratings Time: 10:05 More in Science & Technology

    Read the article

  • Google I/O 2010 Keynote, pt. 8

    Google I/O 2010 Keynote, pt. 8 Video footage from Day 1 keynote at Google I/O 2010 For Google I/O session videos, presentations, developer interviews and more, go to: code.google.com/io From: GoogleDevelopers Views: 1 0 ratings Time: 10:18 More in Science & Technology

    Read the article

  • Google I/O 2010 Keynote, pt. 1

    Google I/O 2010 Keynote, pt. 1 Video footage from Day 1 keynote at Google I/O 2010 For Google I/O session videos, presentations, developer interviews and more, go to: code.google.com/io From: GoogleDevelopers Views: 2 0 ratings Time: 10:07 More in Science & Technology

    Read the article

  • Google I/O 2010 Keynote, pt. 7

    Google I/O 2010 Keynote, pt. 7 Video footage from Day 1 keynote at Google I/O 2010 For Google I/O session videos, presentations, developer interviews and more, go to: code.google.com/io From: GoogleDevelopers Views: 0 0 ratings Time: 09:57 More in Science & Technology

    Read the article

  • Google I/O 2010 Keynote, pt. 4

    Google I/O 2010 Keynote, pt. 4 Video footage from Day 1 keynote at Google I/O 2010 For Google I/O session videos, presentations, developer interviews and more, go to: code.google.com/io From: GoogleDevelopers Views: 1 0 ratings Time: 10:07 More in Science & Technology

    Read the article

  • Google Chrome Extensions: Launch Event (part 1)

    Google Chrome Extensions: Launch Event (part 1) Video Footage from the Google Chrome Extensions launch event on 12/09/09. In this part, Brian Rakowski, product management director, provides an update on Google Chrome and explains why extensions are important for the Google Chrome team. From: GoogleDevelopers Views: 5175 17 ratings Time: 04:39 More in Science & Technology

    Read the article

  • Google I/O 2010 Keynote, pt. 3

    Google I/O 2010 Keynote, pt. 3 Video footage from Day 1 keynote at Google I/O 2010 For Google I/O session videos, presentations, developer interviews and more, go to: code.google.com/io From: GoogleDevelopers Views: 0 0 ratings Time: 09:59 More in Science & Technology

    Read the article

  • Google I/O 2010 Keynote, pt. 5

    Google I/O 2010 Keynote, pt. 5 Video footage from Day 1 keynote at Google I/O 2010 For Google I/O session videos, presentations, developer interviews and more, go to: code.google.com/io From: GoogleDevelopers Views: 1 0 ratings Time: 09:55 More in Science & Technology

    Read the article

  • Google I/O 2010 Keynote, pt. 11

    Google I/O 2010 Keynote, pt. 11 Video footage from Day 1 keynote at Google I/O 2010 For Google I/O session videos, presentations, developer interviews and more, go to: code.google.com/io From: GoogleDevelopers Views: 2 0 ratings Time: 09:59 More in Science & Technology

    Read the article

  • Google I/O 2010 Keynote, pt. 10

    Google I/O 2010 Keynote, pt. 10 Video footage from Day 1 keynote at Google I/O 2010 For Google I/O session videos, presentations, developer interviews and more, go to: code.google.com/io From: GoogleDevelopers Views: 1 0 ratings Time: 09:50 More in Science & Technology

    Read the article

  • Google I/O 2010 Keynote, pt. 2

    Google I/O 2010 Keynote, pt. 2 Video footage from Day 1 keynote at Google I/O 2010 For Google I/O session videos, presentations, developer interviews and more, go to: code.google.com/io From: GoogleDevelopers Views: 4 0 ratings Time: 09:57 More in Science & Technology

    Read the article

  • Google I/O 2010 Keynote, pt. 6

    Google I/O 2010 Keynote, pt. 6 Video footage from Day 1 keynote at Google I/O 2010 For Google I/O session videos, presentations, developer interviews and more, go to: code.google.com/io From: GoogleDevelopers Views: 49 0 ratings Time: 10:01 More in Science & Technology

    Read the article

  • Emails from Google Apps to custom SMTP server delayed by 1 hour consistently

    - by vimalk
    The outgoing mails from Google Apps/Gmail to our own custom SMTP server are getting delayed by 1 hour consistently. mxtoolbox.com diagnostics of our custom SMTP server are looking OK. Our custom SMTP server is receiving emails from other sources (yahoo, hotmail etc.) on time. Looking at the SMTP logs show a delay in a google intermediate SMTP server. Received: by qwi2 with SMTP id 2so1989393qwi.3 for <[email protected]>; Thu, 27 Jan 2011 03:54:23 -0800 (PST) MIME-Version: 1.0 Received: by 10.224.19.203 with SMTP id c11mr1587082qab.170.1296125657457; Thu, 27 Jan 2011 02:54:17 -0800 (PST) This setup has been working fine for a year though our custom email server was missing a reverse DNS entry and SPF records. Thinking that this could be the cause of the issue, we added these entries a week ago. But the issue still persists. Here are are more details: We are using Google Apps to host our primary domain email (say: mydomain.com) The custom SMTP server (say: s1.mydomain.com) hosts our subdomain (say: sub.mydomain.com) This is how the email log looks from [email protected] to [email protected] Return-Path: [email protected] Received: from localhost.localdomain (LHLO s1.mydomain.com) (127.0.0.1) by s1.mydomain.com with LMTP; Thu, 27 Jan 2011 17:24:28 +0530 (IST) Received: from localhost (localhost.localdomain [127.0.0.1]) by s1.mydomain.com (Postfix) with ESMTP id 605116A6565 for <[email protected]>; Thu, 27 Jan 2011 17:24:28 +0530 (IST) X-Virus-Scanned: amavisd-new at sub.mydomain.com X-Spam-Flag: NO X-Spam-Score: 2.984 X-Spam-Level: ** X-Spam-Status: No, score=2.984 tagged_above=-10 required=6.6 t ests=[AWL=-0.337, BAYES_50=0.001, DNS_FROM_OPENWHOIS=1.13, FH_DATE_PAST_20XX=3.188, HTML_MESSAGE=0.001, HTML_OBFUSCATE_05_10=0.001, RCVD_IN_DNSWL_LOW=-1] autolearn=no Received: from s1.mydomain.com ([127.0.0.1]) by localhost (s1.mydomain.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id RBjF7Wwr44mP for <[email protected]>; Thu, 27 Jan 2011 17:24:24 +0530 (IST) Received: from mail-qw0-f44.google.com (mail-qw0-f44.google.com [209.85.216.44]) by s1.mydomain.com (Postfix) with ESMTP id BB5DE6A6512 for <[email protected]>; Thu, 27 Jan 2011 17:24:23 +0530 (IST) Received: by qwi2 with SMTP id 2so1989393qwi.3 for <[email protected]>; Thu, 27 Jan 2011 03:54:23 -0800 (PST) MIME-Version: 1.0 Received: by 10.224.19.203 with SMTP id c11mr1587082qab.170.1296125657457; Thu, 27 Jan 2011 02:54:17 -0800 (PST) Received: by 10.220.117.17 with HTTP; Thu, 27 Jan 2011 02:54:17 -0800 (PST) Date: Thu, 27 Jan 2011 16:24:17 +0530 Message-ID: <[email protected]> Subject: test : 16:24 From: X <[email protected]> To: [email protected] Content-Type: multipart/alternative; boundary=0015175cba2865a5fe049ad1c5cd We appreciate any help that could help solve this issue :)

    Read the article

  • Google analytics and multiple independent subdomains

    - by MTilsted
    I need some help trying to setup google analytics correct. Here is my setup: We host sites for multiple customers, and each customer have their own subdomain on our site. So we have customerA.oursite.com and customerB.oursite.com As we add more customers we get more subdomains. We do want to track all data for each customer independent, but I don't want to to create a new google tracking code for each new customer. So my plan is to track all visits with "oursite.com", and then I will create a filter in google Analytics to get data for each specific customer(All visits for a specific subdomain). Is this(One tracking code, and a subdomain filter) the right way to do it? To create a subdomain filter i add a new profile for each customer, and then add a custom filter saying include "Request URI" and fill in "CustomerDomain.oursite.com". Is this the correct way to do it? And a general question about filters: Is it really impossible to create a new filter by applying it to data in an existing profile? I would really like to just collect all the data in one "main" profile and then create subdomain filters as we need them. But it seems that google only apply filters to new incomming data, not existing data. Is this really true? The following is my tracking code. Is '_setDomainName','none' the right thing to do? <script type="text/javascript"> /* Tracking code for qrtown.com */ var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-11584298-10']); _gaq.push(['_setDomainName', 'none']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); </script>

    Read the article

< Previous Page | 75 76 77 78 79 80 81 82 83 84 85 86  | Next Page >