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  • Low pagerank backlinks - does Google penalize?

    - by Programmer Joe
    I have a new stock discussion forum and I would like to promote it. Specifically, I have two ideas in mind to help promote it: 1) Become a member at other stock discussion forums. Make high quality posts, build a good reputation, and leave a link to my own forum in a non intrusive way (ie. in signature or at the end of my posts). This approach makes sense because you can find other members in other forums that are interested in stock discussion and a backlink to your forum, as long as it is not done in an intrusive/spammy way, should come across as acceptable. 2) Promote my site by writing articles at Squidoo, Hubpages, etc. This approach also makes sense because that's what Squidoo and Hubpages is for. The problem with both these approaches is that when I leave a backlink to my site, the page that I am leaving a backlink from may have a low PR - most likely, a PR of 0. Now, I have read that after the Penguin update by Google, your site can be penalized if you have too many backlinks from low PR pages: http://www.entrepreneur.com/article/224339 So, I am caught in a dilemma: a) If I start promoting my site via other stock forums, Squidoo, Hubpages, etc, but the backlink to my site comes from a page with low PR, Google may penalize my site. b) However, if I don't promote my site, nobody will ever discover it (aside from other promotion techniques like social media promotion, directories, etc).

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  • GAPI output doesn't match Google Analytics website

    - by Yekver
    I have to get the main info about my Google Analytics Goals. I'm using GAPI lib, with this code: <?php require_once 'conf.inc'; require_once 'gapi.class.php'; $ga = new gapi(ga_email,ga_password); $dimensions = array('pagePath', 'hostname'); $metrics = array('goalCompletionsAll', 'goalConversionRateAll', 'goalValueAll'); $ga->requestReportData(ga_profile_id, $dimensions, $metrics, '-goalCompletionsAll', '', '2012-09-07', '2012-10-07', 1, 500); $gaResults = $ga->getResults(); foreach($gaResults as $result) { var_dump($result); } cut this code is output: object(gapiReportEntry)[7] private 'metrics' => array (size=3) 'goalCompletionsAll' => int 12031 'goalConversionRateAll' => float 206.93154454764 'goalValueAll' => float 0 private 'dimensions' => array (size=2) 'pagePath' => string '/catalogs.php' (length=13) 'hostname' => string 'www.example.com' (length=13) object(gapiReportEntry)[6] private 'metrics' => array (size=3) 'goalCompletionsAll' => int 9744 'goalConversionRateAll' => float 661.05834464043 'goalValueAll' => float 0 private 'dimensions' => array (size=2) 'pagePath' => string '/price.php' (length=10) 'hostname' => string 'www.example.com' (length=13) What I see on Google Analytics website on Goals URLs page with the same period of date is: Goal Completion Location Goal Completions Goal Value 1. /price.php 9,396 $0.00 2. /saloni.php 3,739 $0.00 As you can see outputs doesn't match. Why? What's wrong?

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  • Accessing Google Spreadsheets with C# using Google Data API fails with Mono

    - by Maurits Rijk
    I'm trying to access my Google spreadsheets using the GData API. I have followed the example which looks like: var service = new SpreadsheetsService("myTest"); service.setUserCredentials(username, password); var query = new SpreadsheetQuery(); var feed = service.Query(query); This should return a feed with a list of spreadsheets. However this fails with: Google.GData.Client.GDataRequestException: Execution of request failed: http://spreadsheets.google.com/feeds/spreadsheets/private/full --- System.Net.WebException: The remote server returned an error: (404) Not Found. When I try the above link directly in my browser I'm able to download the feed, as long as I'm logged in into my Google account. Some further information: I'm not behind a firewall I have checked my username (maurits.rijk at gmail.com) and password several times I am using Mandriva in VirtualBox on a MacBook All my code is compiled with Mono I tried the same functionality in Java on OS-X. That code runs as expected.

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  • SQL Server Clustered Index: (Physical) Data Page Order

    - by scherand
    I am struggling understanding what a clustered index in SQL Server 2005 is. I read the MSDN article Clustered Index Structures (among other things) but I am still unsure if I understand it correctly. The (main) question is: what happens if I insert a row (with a "low" key) into a table with a clustered index? The above mentioned MSDN article states: The pages in the data chain and the rows in them are ordered on the value of the clustered index key. And Using Clustered Indexes for example states: For example, if a record is added to the table that is close to the beginning of the sequentially ordered list, any records in the table after that record will need to shift to allow the record to be inserted. Does this mean that if I insert a row with a very "low" key into a table that already contains a gazillion rows literally all rows are physically shifted on disk? I cannot believe that. This would take ages, no? Or is it rather (as I suspect) that there are two scenarios depending on how "full" the first data page is. A) If the page has enough free space to accommodate the record it is placed into the existing data page and data might be (physically) reordered within that page. B) If the page does not have enough free space for the record a new data page would be created (anywhere on the disk!) and "linked" to the front of the leaf level of the B-Tree? This would then mean the "physical order" of the data is restricted to the "page level" (i.e. within a data page) but not to the pages residing on consecutive blocks on the physical hard drive. The data pages are then just linked together in the correct order. Or formulated in an alternative way: if SQL Server needs to read the first N rows of a table that has a clustered index it can read data pages sequentially (following the links) but these pages are not (necessarily) block wise in sequence on disk (so the disk head has to move "randomly"). How close am I? :)

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  • New record may be written twice in clusterd index structure

    - by Cupidvogel
    As per the article at Microsoft, under the Test 1: INSERT Performance section, it is written that For the table with the clustered index, only a single write operation is required since the leaf nodes of the clustered index are data pages (as explained in the section Clustered Indexes and Heaps), whereas for the table with the nonclustered index, two write operations are required—one for the entry into the index B-tree and another for the insert of the data itself. I don't think that is necessarily true. Clustered Indexes are implemented through B+ tree structures, right? If you look at at this article, which gives a simple example of inserting into a B+ tree, we can see that when 8 is initially inserted, it is written only once, but then when 5 comes in, it is written to the root node as well (thus written twice, albeit not initially at the time of insertion). Also when 8 comes in next, it is written twice, once at the root and then at the leaf. So won't it be correct to say, that the number of rewrites in case of a clustered index is much less compared to a NIC structure (where it must occur every time), instead of saying that rewrite doesn't occur in CI at all?

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  • Google.org Crisis Response and the Google Maps APIs

    Google.org Crisis Response and the Google Maps APIs This week, Pete Giencke and Ka-Ping Yee of the Google Crisis Response Team join Paul Saxman to talk about the technologies and data they use for their mapping efforts, such as the Crisis Map and Google Public Alerts. Join us to learn how to use the Google Maps APIs to track hurricanes, monitor floods, and help affected users locate critical information such as shelters and evacuation routes in the aftermath of a disaster. From: GoogleDevelopers Views: 0 0 ratings Time: 00:00 More in Science & Technology

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  • Google I/O 2012 - Get your Content on Google TV

    Google I/O 2012 - Get your Content on Google TV Christian Kurzke , Andrew Jeon, Mark Lindner Google TV devices are typically the largest screen in the house, which makes them a prime platform for developers who want to distribute high quality, long form content right to the living room. We will talk about different options for hosting, streaming and securing your content on Google TV, and how to ensure your audience has a great experience viewing your content. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1562 26 ratings Time: 01:01:00 More in Science & Technology

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  • Google I/O 2012 - Introducing Google Compute Engine

    Google I/O 2012 - Introducing Google Compute Engine Craig McLuckie, Martin Gannholm Google Compute Engine is a new virtual machine based cloud technology for large scale data processing and analytics workloads. It allows the world to leverage the scalability and power of Google's data centers to run computationally intensive jobs. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1614 29 ratings Time: 01:00:58 More in Science & Technology

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  • Google I/O 2012 - Introducing the Google Drive SDK

    Google I/O 2012 - Introducing the Google Drive SDK In this talk, we will introduce a number of major new features and platforms to the Google Drive SDK. We will discuss what we feel is a revolution in the way developers write collaborative applications. We will also announce a new API to make managing files in Google Drive even easier for developers, replacing some legacy APIs in the process. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 2447 16 ratings Time: 46:28 More in Science & Technology

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  • Google I/O 2012 - Integrating Google+ Into Mobile Apps

    Google I/O 2012 - Integrating Google+ Into Mobile Apps Julia Ferraioli Create a more engaging and personalized experience for your users by incorporating aspects of Google+ into your mobile app. Learn how your users can share pictures, links, and more into Google+ from your app, and how doing so can raise visibility and discoverability of your application. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1224 23 ratings Time: 50:10 More in Science & Technology

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  • Google I/O 2012 - Google Compute Engine -- Technical Details

    Google I/O 2012 - Google Compute Engine -- Technical Details Joe Beda, Evan Anderson This session will provide an in depth overview of Google Compute Engine. Google Compute provides Virtual Machines optimized for large scale data processing and analytics. We will dive into the core concepts, API, unique features and architectural best practices in the context of concrete examples. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 2497 88 ratings Time: 01:01:39 More in Science & Technology

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  • SQL SERVER – Columnstore Index and sys.dm_db_index_usage_stats

    - by pinaldave
    As you know I have been writing on Columnstore Index for quite a while. Recently my friend Vinod Kumar wrote about  SQL Server 2012: ColumnStore Characteristics. A fantastic read on the subject if you have yet not caught up on that subject. After the blog post I called him and asked what should I write next on this subject. He suggested that I should write on DMV script which I have prepared related to Columnstore when I was writing our SQL Server Questions and Answers book. When we were writing this book SQL Server 2012 CTP versions were available. I had written few scripts related to SQL Server columnstore Index. I like Vinod’s idea and I decided to write about DMV, which we did not cover in the book as SQL Server 2012 was not released yet. We did not want to talk about the product which was not yet released. The first script which I had written was with DMV - sys.column_store_index_stats. This DMV was displaying the statistics of the columnstore indexes. When I attempted to run it on SQL Server 2012 RTM it gave me error suggesting that this DMV does not exists. Here is the script which I ran: SELECT * FROM sys.column_store_index_stats; It generated following error: Msg 208, Level 16, State 1, Line 1 Invalid object name ‘column_store_index_stats’. I was pretty confident that this DMV was available when I had written the scripts. The next reaction was to type ‘sys.’ only in SSMS and wait for intelisense to popup DMV list. I scrolled down and noticed that above said DMV did not exists there as well. Now this is not bug or missing feature. This was indeed something can happen because the version which I was practicing was early CTP version. If you go to the page of the DMV here, it clearly stats notice on the top of the page. This documentation is for preview only, and is subject to change in later releases. Now this was not alarming but my next thought was if this DMV is not there where can I find the information which this DMV was providing. Well, while I was thinking about this, I noticed that my another friend Balmukund Lakhani was online on personal messenger. Well, Balmukund is “Know All” kid. I have yet to find situation where I have not got my answers from him. I immediately pinged him and asked the question regarding where can I find information of ‘column_store_index_stats’. His answer was very abrupt but enlightening for sure. Here is our conversation: Pinal: Where can I find information of column_store_index_stats? Balmukund: Assume you have never worked with CTP before and now try to find the information which you are trying to find. Honestly  it was fantastic response from him. I was confused as I have played extensively with CTP versions of SQL Server 2012. Now his response give me big hint. I should have not looked for DMV but rather should have focused on what I wanted to do. I wanted to retrieve the statistics related to the index. In SQL Server 2008/R2, I was able to retrieve the statistics of the index from the DMV - sys.dm_db_index_usage_stats. I used the same DMV on SQL Server 2012 and it did retrieved the necessary information for me. Here is the updated script which gave me all the necessary information I was looking for. Matter of the fact, if I have used my earlier SQL Server 2008 R2 script this would have just worked fine. SELECT DB_NAME(Database_ID) DBName, SCHEMA_NAME(schema_id) AS SchemaName, OBJECT_NAME(ius.OBJECT_ID) ObjName, i.type_desc, i.name, user_seeks, user_scans, user_lookups, user_updates,* FROM sys.dm_db_index_usage_stats ius INNER JOIN sys.indexes i ON i.index_id = ius.index_id AND ius.OBJECT_ID = i.OBJECT_ID INNER JOIN sys.tables t ON t.OBJECT_ID = i.OBJECT_ID GO Let us see the resultset of above query. You will notice that column Type_desc describes the type of the index. You can additionally write WHERE condition on the column and only retrieve only selected type of Index. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Index, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Will Tracking Subdomains as Single Entity with Google Analytics Help SEO? [closed]

    - by Sam Gridley
    Possible Duplicate: Does Google Analytics data affect SEO? We have two subdomains, one for our blog and one for our ecommerce store. The blog serves to bring traffic and the store is how we monetize the site. We have them designed to appear as one large site, but I know google sees them as two sites. Here is how the subdomains look: www.example.com (store) blog.example.com (blog) I believe I can configure analytics to use subdomain tracking as explained here: http://support.google.com/googleanalytics/bin/answer.py?hl=en&answer=55524 But my question is whether this will cause google to see our 2 subdomains as one larger domain for SEO purposes. In other words, is there any relationship to how you configure google analytics and how google indexes and ranks your website(s) and pages? Is there anything I need to do in anaytics or webmaster tools to make google aware that these two subdomains work together as one website? Thanks! Sam

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  • Query doesn't use a covering-index when applicable

    - by Dor
    I've downloaded the employees database and executed some queries for benchmarking purposes. Then I noticed that one query didn't use a covering index, although there was a corresponding index that I created earlier. Only when I added a FORCE INDEX clause to the query, it used a covering index. I've uploaded two files, one is the executed SQL queries and the other is the results. Can you tell why the query uses a covering-index only when a FORCE INDEX clause is added? The EXPLAIN shows that in both cases, the index dept_no_from_date_idx is being used anyway. To adapt myself to the standards of SO, I'm also writing the content of the two files here: The SQL queries: USE employees; /* Creating an index for an index-covered query */ CREATE INDEX dept_no_from_date_idx ON dept_emp (dept_no, from_date); /* Show `dept_emp` table structure, indexes and generic data */ SHOW TABLE STATUS LIKE "dept_emp"; DESCRIBE dept_emp; SHOW KEYS IN dept_emp; /* The EXPLAIN shows that the subquery doesn't use a covering-index */ EXPLAIN SELECT SQL_NO_CACHE * FROM dept_emp INNER JOIN ( /* The subquery should use a covering index, but isn't */ SELECT SQL_NO_CACHE emp_no, dept_no FROM dept_emp WHERE dept_no="d001" ORDER BY from_date DESC LIMIT 20000,50 ) AS `der` USING (`emp_no`, `dept_no`); /* The EXPLAIN shows that the subquery DOES use a covering-index, thanks to the FORCE INDEX clause */ EXPLAIN SELECT SQL_NO_CACHE * FROM dept_emp INNER JOIN ( /* The subquery use a covering index */ SELECT SQL_NO_CACHE emp_no, dept_no FROM dept_emp FORCE INDEX(dept_no_from_date_idx) WHERE dept_no="d001" ORDER BY from_date DESC LIMIT 20000,50 ) AS `der` USING (`emp_no`, `dept_no`); The results: -------------- /* Creating an index for an index-covered query */ CREATE INDEX dept_no_from_date_idx ON dept_emp (dept_no, from_date) -------------- Query OK, 331603 rows affected (33.95 sec) Records: 331603 Duplicates: 0 Warnings: 0 -------------- /* Show `dept_emp` table structure, indexes and generic data */ SHOW TABLE STATUS LIKE "dept_emp" -------------- +----------+--------+---------+------------+--------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+-------------+------------+-----------------+----------+----------------+---------+ | Name | Engine | Version | Row_format | Rows | Avg_row_length | Data_length | Max_data_length | Index_length | Data_free | Auto_increment | Create_time | Update_time | Check_time | Collation | Checksum | Create_options | Comment | +----------+--------+---------+------------+--------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+-------------+------------+-----------------+----------+----------------+---------+ | dept_emp | InnoDB | 10 | Compact | 331883 | 36 | 12075008 | 0 | 21544960 | 29360128 | NULL | 2010-05-04 13:07:49 | NULL | NULL | utf8_general_ci | NULL | | | +----------+--------+---------+------------+--------+----------------+-------------+-----------------+--------------+-----------+----------------+---------------------+-------------+------------+-----------------+----------+----------------+---------+ 1 row in set (0.47 sec) -------------- DESCRIBE dept_emp -------------- +-----------+---------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-----------+---------+------+-----+---------+-------+ | emp_no | int(11) | NO | PRI | NULL | | | dept_no | char(4) | NO | PRI | NULL | | | from_date | date | NO | | NULL | | | to_date | date | NO | | NULL | | +-----------+---------+------+-----+---------+-------+ 4 rows in set (0.05 sec) -------------- SHOW KEYS IN dept_emp -------------- +----------+------------+-----------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+ | Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | +----------+------------+-----------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+ | dept_emp | 0 | PRIMARY | 1 | emp_no | A | 331883 | NULL | NULL | | BTREE | | | dept_emp | 0 | PRIMARY | 2 | dept_no | A | 331883 | NULL | NULL | | BTREE | | | dept_emp | 1 | emp_no | 1 | emp_no | A | 331883 | NULL | NULL | | BTREE | | | dept_emp | 1 | dept_no | 1 | dept_no | A | 7 | NULL | NULL | | BTREE | | | dept_emp | 1 | dept_no_from_date_idx | 1 | dept_no | A | 13 | NULL | NULL | | BTREE | | | dept_emp | 1 | dept_no_from_date_idx | 2 | from_date | A | 165941 | NULL | NULL | | BTREE | | +----------+------------+-----------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+ 6 rows in set (0.23 sec) -------------- /* The EXPLAIN shows that the subquery doesn't use a covering-index */ EXPLAIN SELECT SQL_NO_CACHE * FROM dept_emp INNER JOIN ( /* The subquery should use a covering index, but isn't */ SELECT SQL_NO_CACHE emp_no, dept_no FROM dept_emp WHERE dept_no="d001" ORDER BY from_date DESC LIMIT 20000,50 ) AS `der` USING (`emp_no`, `dept_no`) -------------- +----+-------------+------------+--------+----------------------------------------------+-----------------------+---------+------------------------+-------+-------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+------------+--------+----------------------------------------------+-----------------------+---------+------------------------+-------+-------------+ | 1 | PRIMARY | <derived2> | ALL | NULL | NULL | NULL | NULL | 50 | | | 1 | PRIMARY | dept_emp | eq_ref | PRIMARY,emp_no,dept_no,dept_no_from_date_idx | PRIMARY | 16 | der.emp_no,der.dept_no | 1 | | | 2 | DERIVED | dept_emp | ref | dept_no,dept_no_from_date_idx | dept_no_from_date_idx | 12 | | 21402 | Using where | +----+-------------+------------+--------+----------------------------------------------+-----------------------+---------+------------------------+-------+-------------+ 3 rows in set (0.09 sec) -------------- /* The EXPLAIN shows that the subquery DOES use a covering-index, thanks to the FORCE INDEX clause */ EXPLAIN SELECT SQL_NO_CACHE * FROM dept_emp INNER JOIN ( /* The subquery use a covering index */ SELECT SQL_NO_CACHE emp_no, dept_no FROM dept_emp FORCE INDEX(dept_no_from_date_idx) WHERE dept_no="d001" ORDER BY from_date DESC LIMIT 20000,50 ) AS `der` USING (`emp_no`, `dept_no`) -------------- +----+-------------+------------+--------+----------------------------------------------+-----------------------+---------+------------------------+-------+--------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+------------+--------+----------------------------------------------+-----------------------+---------+------------------------+-------+--------------------------+ | 1 | PRIMARY | <derived2> | ALL | NULL | NULL | NULL | NULL | 50 | | | 1 | PRIMARY | dept_emp | eq_ref | PRIMARY,emp_no,dept_no,dept_no_from_date_idx | PRIMARY | 16 | der.emp_no,der.dept_no | 1 | | | 2 | DERIVED | dept_emp | ref | dept_no_from_date_idx | dept_no_from_date_idx | 12 | | 37468 | Using where; Using index | +----+-------------+------------+--------+----------------------------------------------+-----------------------+---------+------------------------+-------+--------------------------+ 3 rows in set (0.05 sec) Bye

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  • GSON on Google App Engine throws a Security Exception

    - by Legend
    I am trying to convert an object into JSON using the GSON library on Google App Engine. For some reason, it throws this exception and I don't understand how to solve this. Any suggestions? java.lang.SecurityException: java.lang.IllegalAccessException: Reflection is not allowed on private static final int java.util.BitSet.ADDRESS_BITS_PER_WORD at com.google.appengine.runtime.Request.process-8d5b435d6736643f(Request.java) at java.lang.reflect.AccessibleObject.setAccessible(AccessibleObject.java:29) at com.google.gson.ObjectNavigator.navigateClassFields(ObjectNavigator.java:141) at com.google.gson.ObjectNavigator.accept(ObjectNavigator.java:123) at com.google.gson.JsonSerializationVisitor.getJsonElementForChild(JsonSerializationVisitor.java:148) at com.google.gson.JsonSerializationVisitor.addAsArrayElement(JsonSerializationVisitor.java:139) at com.google.gson.JsonSerializationVisitor.visitArray(JsonSerializationVisitor.java:83) at com.google.gson.ObjectNavigator.accept(ObjectNavigator.java:109) at com.google.gson.JsonSerializationVisitor.getJsonElementForChild(JsonSerializationVisitor.java:148) at com.google.gson.JsonSerializationVisitor.addAsChildOfObject(JsonSerializationVisitor.java:126) at com.google.gson.JsonSerializationVisitor.visitArrayField(JsonSerializationVisitor.java:95) at com.google.gson.ObjectNavigator.navigateClassFields(ObjectNavigator.java:154) at com.google.gson.ObjectNavigator.accept(ObjectNavigator.java:123) at com.google.gson.JsonSerializationContextDefault.serialize(JsonSerializationContextDefault.java:56) at com.google.gson.Gson.toJsonTree(Gson.java:230) at com.google.gson.Gson.toJson(Gson.java:315) at com.google.gson.Gson.toJson(Gson.java:270) at com.google.gson.Gson.toJson(Gson.java:250) at companionmodel.Sample_Model_PopulateServlet.printOutput(Sample_Model_PopulateServlet.java:59) at companionmodel.Sample_Model_PopulateServlet.doGet(Sample_Model_PopulateServlet.java:28) at javax.servlet.http.HttpServlet.service(HttpServlet.java:693) at javax.servlet.http.HttpServlet.service(HttpServlet.java:806) at org.mortbay.jetty.servlet.ServletHolder.handle(ServletHolder.java:511) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1166) at com.google.apphosting.utils.servlet.ParseBlobUploadFilter.doFilter(ParseBlobUploadFilter.java:97) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at com.google.apphosting.runtime.jetty.SaveSessionFilter.doFilter(SaveSessionFilter.java:35) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at com.google.apphosting.utils.servlet.TransactionCleanupFilter.doFilter(TransactionCleanupFilter.java:43) at org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1157) at org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java:388) at org.mortbay.jetty.security.SecurityHandler.handle(SecurityHandler.java:216) at org.mortbay.jetty.servlet.SessionHandler.handle(SessionHandler.java:182) at org.mortbay.jetty.handler.ContextHandler.handle(ContextHandler.java:765) at org.mortbay.jetty.webapp.WebAppContext.handle(WebAppContext.java:418) at com.google.apphosting.runtime.jetty.AppVersionHandlerMap.handle(AppVersionHandlerMap.java:238) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at org.mortbay.jetty.Server.handle(Server.java:326) at org.mortbay.jetty.HttpConnection.handleRequest(HttpConnection.java:542) at org.mortbay.jetty.HttpConnection$RequestHandler.headerComplete(HttpConnection.java:923) at com.google.apphosting.runtime.jetty.RpcRequestParser.parseAvailable(RpcRequestParser.java:76) at org.mortbay.jetty.HttpConnection.handle(HttpConnection.java:404) at com.google.apphosting.runtime.jetty.JettyServletEngineAdapter.serviceRequest(JettyServletEngineAdapter.java:135) at com.google.apphosting.runtime.JavaRuntime.handleRequest(JavaRuntime.java:250) at com.google.apphosting.base.RuntimePb$EvaluationRuntime$6.handleBlockingRequest(RuntimePb.java:5838) at com.google.apphosting.base.RuntimePb$EvaluationRuntime$6.handleBlockingRequest(RuntimePb.java:5836) at com.google.net.rpc.impl.BlockingApplicationHandler.handleRequest(BlockingApplicationHandler.java:24) at com.google.net.rpc.impl.RpcUtil.runRpcInApplication(RpcUtil.java:398) at com.google.net.rpc.impl.Server$2.run(Server.java:852) at com.google.tracing.LocalTraceSpanRunnable.run(LocalTraceSpanRunnable.java:56) at com.google.tracing.LocalTraceSpanBuilder.internalContinueSpan(LocalTraceSpanBuilder.java:576) at com.google.net.rpc.impl.Server.startRpc(Server.java:807) at com.google.net.rpc.impl.Server.processRequest(Server.java:369) at com.google.net.rpc.impl.ServerConnection.messageReceived(ServerConnection.java:442) at com.google.net.rpc.impl.RpcConnection.parseMessages(RpcConnection.java:319) at com.google.net.rpc.impl.RpcConnection.dataReceived(RpcConnection.java:290) at com.google.net.async.Connection.handleReadEvent(Connection.java:474) at com.google.net.async.EventDispatcher.processNetworkEvents(EventDispatcher.java:831) at com.google.net.async.EventDispatcher.internalLoop(EventDispatcher.java:207) at com.google.net.async.EventDispatcher.loop(EventDispatcher.java:103) at com.google.net.rpc.RpcService.runUntilServerShutdown(RpcService.java:251) at com.google.apphosting.runtime.JavaRuntime$RpcRunnable.run(JavaRuntime.java:413) at java.lang.Thread.run(Unknown Source) Code I am using: Gson gson = new Gson(); String json = gson.toJson(modelObject);

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  • Google webmaster showing duplicate meta descriptions for search directory

    - by Mike Flynn
    What is the best way to get rid of this error in Google Webmasters? Do I really need to add "- Page 2" at the end of the descripton? Page Description Kansas basketball tournaments posted by organizations and teams for youth, AAU, and NCAA certified e Pages /youth-basketball-tournaments/kansas /youth-basketball-tournaments/kansas?page=2 /youth-basketball-tournaments/kansas?page=3 /youth-basketball-tournaments/kansas?page=9

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  • Google Analytics and direct access

    - by user1592845
    Does Google analytics regards remote access resources as direct access? For example: Suppose: mysite.com and anothersite.com mysite.com has an image found at http://mysite.com/img/vip.jpg anothersite.com at some page of it like http://anothersite.com/photos.html included vip.jpg in its source in image tag: <img src="http://mysite.com/img/vip.jpg" /> So does Analytics regard loading this image when a visitor vists http://anothersite.com/photos.html to be a direct access for mysite.com?

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  • website particular url suddenly disappeared from google search result

    - by Ragavendran Ramesh
    i have a website , in that a particular page url was indexed in google search result in the first 10 results , but suddenly it disappeared , not that page is not even in the 100results , what would be the reason. i am feeling that the page has be spammed by our competitors . is it possible to avoid that , or can i find that page has been spammed or not. Is it possible to find the particular page in a website is spam or malicious.

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  • Understanding CTR in Google Webmaster Tools

    - by sam
    I've got a site that's showing a 9% CTR for a phrase in Google Webmaster Tools, but the average position for my site is 14th (this includes 7 local results for this phrase). I was a little confused as to what the CTR actually meant, is it : for each person who searches for that phrase 9% of them click my site. or for each person who actually sees my site in the search results 9% of them click through (bearing in mind 14th is high on page 2 when the local listings are used).

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  • Consultant - Google Cloud Endpoints

    - by Marc M.
    How does when go along finding a consultant to hire for a few hours for particular technologies? Lets say Google Cloud Endpoints, basically a professional at the library that can answer anything I need to know about it? How much might this cost. Can you hire them for only a couple hours at a time? Or even for a 20 minute phone call like a lawyer? P.S. I could use someone on call for Objectify questions too.

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  • check when a page was first seen by google

    - by sam
    Is there a way to see when a page was first published, by checking when it was first cahced by google (obviously its not 100% fool proof because there is a couple of days delay in some cases but it will give you a good idea.) The only other way i could think of checking it published date is if the page / post had a publicly viable time stamp on it, but in the case im looking for it, it dosnt have a publicly visible time stamp.

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  • mysql index optimization for a table with multiple indexes that index some of the same columns

    - by Sean
    I have a table that stores some basic data about visitor sessions on third party web sites. This is its structure: id, site_id, unixtime, unixtime_last, ip_address, uid There are four indexes: id, site_id/unixtime, site_id/ip_address, and site_id/uid There are many different types of ways that we query this table, and all of them are specific to the site_id. The index with unixtime is used to display the list of visitors for a given date or time range. The other two are used to find all visits from an IP address or a "uid" (a unique cookie value created for each visitor), as well as determining if this is a new visitor or a returning visitor. Obviously storing site_id inside 3 indexes is inefficient for both write speed and storage, but I see no way around it, since I need to be able to quickly query this data for a given specific site_id. Any ideas on making this more efficient? I don't really understand B-trees besides some very basic stuff, but it's more efficient to have the left-most column of an index be the one with the least variance - correct? Because I considered having the site_id being the second column of the index for both ip_address and uid but I think that would make the index less efficient since the IP and UID are going to vary more than the site ID will, because we only have about 8000 unique sites per database server, but millions of unique visitors across all ~8000 sites on a daily basis. I've also considered removing site_id from the IP and UID indexes completely, since the chances of the same visitor going to multiple sites that share the same database server are quite small, but in cases where this does happen, I fear it could be quite slow to determine if this is a new visitor to this site_id or not. The query would be something like: select id from sessions where uid = 'value' and site_id = 123 limit 1 ... so if this visitor had visited this site before, it would only need to find one row with this site_id before it stopped. This wouldn't be super fast necessarily, but acceptably fast. But say we have a site that gets 500,000 visitors a day, and a particular visitor loves this site and goes there 10 times a day. Now they happen to hit another site on the same database server for the first time. The above query could take quite a long time to search through all of the potentially thousands of rows for this UID, scattered all over the disk, since it wouldn't be finding one for this site ID. Any insight on making this as efficient as possible would be appreciated :) Update - this is a MyISAM table with MySQL 5.0. My concerns are both with performance as well as storage space. This table is both read and write heavy. If I had to choose between performance and storage, my biggest concern is performance - but both are important. We use memcached heavily in all areas of our service, but that's not an excuse to not care about the database design. I want the database to be as efficient as possible.

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  • SQL SERVER – Disable Clustered Index and Data Insert

    - by pinaldave
    Earlier today I received following email. “Dear Pinal, [Removed unrelated content] We looked at your script and found out that in your script of disabling indexes, you have only included non-clustered index during the bulk insert and missed to disabled all the clustered index. Our DBA[name removed] has changed your script a bit and included all the clustered indexes. Since our application is not working. When DBA [name removed] tried to enable clustered indexes again he is facing error incorrect syntax error. We are in deep problem [word replaced] [Removed Identity of organization and few unrelated stuff ]“ I have replied to my client and helped them fixed the problem. What really came to my attention is the concept of disabling clustered index. Let us try to learn a lesson from this experience. In this case, there was no need to disable clustered index at all. I had done necessary work when I was called in to work on tuning project. I had removed unused indexes, created few optimal indexes and wrote a script to disable few selected high cost indexes when bulk insert (and similar) operations are performed. There was another script which rebuild all the indexes as well. The solution worked till they included clustered index in disabling the script. Clustered indexes are in fact original table (or heap) physically ordered (any more things – not scope of this article) according to one or more keys(columns). When clustered index is disabled data rows of the disabled clustered index cannot be accessed. This means there will be no insert possible. When non clustered indexes are disabled all the data related to physically deleted but the definition of the index is kept in the system. Due to the same reason even reorganization of the index is not possible till the clustered index (which was disabled) is rebuild. Now let us come to the second part of the question, regarding receiving the error when clustered index is ‘enabled’. This is very common question I receive on the blog. (The following statement is written keeping the syntax of T-SQL in mind) Clustered indexes can be disabled but can not be enabled, they have to rebuild. It is intuitive to think that something which we have ‘disabled’ can be ‘enabled’ but the syntax for the same is ‘rebuild’. This issue has been explained here: SQL SERVER – How to Enable Index – How to Disable Index – Incorrect syntax near ‘ENABLE’. Let us go over this example where inserting the data is not possible when clustered index is disabled. USE AdventureWorks GO -- Create Table CREATE TABLE [dbo].[TableName]( [ID] [int] NOT NULL, [FirstCol] [varchar](50) NULL, CONSTRAINT [PK_TableName] PRIMARY KEY CLUSTERED ([ID] ASC) ) GO -- Create Nonclustered Index CREATE UNIQUE NONCLUSTERED INDEX [IX_NonClustered_TableName] ON [dbo].[TableName] ([FirstCol] ASC) GO -- Populate Table INSERT INTO [dbo].[TableName] SELECT 1, 'First' UNION ALL SELECT 2, 'Second' UNION ALL SELECT 3, 'Third' GO -- Disable Nonclustered Index ALTER INDEX [IX_NonClustered_TableName] ON [dbo].[TableName] DISABLE GO -- Insert Data should work fine INSERT INTO [dbo].[TableName] SELECT 4, 'Fourth' UNION ALL SELECT 5, 'Fifth' GO -- Disable Clustered Index ALTER INDEX [PK_TableName] ON [dbo].[TableName] DISABLE GO -- Insert Data will fail INSERT INTO [dbo].[TableName] SELECT 6, 'Sixth' UNION ALL SELECT 7, 'Seventh' GO /* Error: Msg 8655, Level 16, State 1, Line 1 The query processor is unable to produce a plan because the index 'PK_TableName' on table or view 'TableName' is disabled. */ -- Reorganizing Index will also throw an error ALTER INDEX [PK_TableName] ON [dbo].[TableName] REORGANIZE GO /* Error: Msg 1973, Level 16, State 1, Line 1 Cannot perform the specified operation on disabled index 'PK_TableName' on table 'dbo.TableName'. */ -- Rebuliding should work fine ALTER INDEX [PK_TableName] ON [dbo].[TableName] REBUILD GO -- Insert Data should work fine INSERT INTO [dbo].[TableName] SELECT 6, 'Sixth' UNION ALL SELECT 7, 'Seventh' GO -- Clean Up DROP TABLE [dbo].[TableName] GO I hope this example is clear enough. There were few additional posts I had written years ago, I am listing them here. SQL SERVER – Enable and Disable Index Non Clustered Indexes Using T-SQL SQL SERVER – Enabling Clustered and Non-Clustered Indexes – Interesting Fact Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Constraint and Keys, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • API access to a manually-created Google Map

    - by rutherford
    I have a number of public custom Google Maps created via http://maps.google.com/ - obviously associated with my google account. Can I access these maps via the Google Maps javascript api? The api doesn't appear to work with the manually created maps located on maps.google.com from what I can tell? And if not, is there another way to store overlay data (markers, etc) that the javascript api can grab and load into the map on the client's browser? Am thinking a service like dabbleDB, except that I don't think they offer write access via javascript (this would be necessary for the user adding markers to the map, for example) Obviously I could create a db layer on my server, but am looking for a 'cloud' solution that removes the strain from my databases!!

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