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  • full screen flash problems

    - by richzilla
    when i play flash videos from sites such as youtube, the videos initially play ok. However when the videos are full screened, a number of problems arise. Usually when the full screen button is first clicked, the video will take up the full screen, but will be frozen (however the video audio can still be heard). It can take several attempts to get the video to play in full screen. The video is also frozen if something triggers osd-notify (changing the volume, getting a new email etc.). Any ideas what might be going wrong?

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  • Skype chat opens full screen and I can't get off it

    - by Aaron Welsh
    Skype was working perfect and then all of a sudden the chat box was full screen sized. Once you click on the Skype icon from the side bar it takes you straight to the full sized chat windows (By full sized I mean the side bar, top bar, and the programs close buttons disappear) I have uninstalled Skype and installed again but the issue is still occurring. I looked about but couldn't find an answer, thanks for any help!

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  • VMware Player and Ubuntu 12.04 - Full Screen

    - by DotNetStudent
    I have installed VMware Player 4.0.2 under Ubuntu 12.04 (Final) and, apart from having to patch the modules, everything went smoothly. However, there's an irritating behavior when toggling full screen mode: toggling full screen (using Virtual Machine Toggle Full Screen or Ctrl + Alt + Return), minimizing the player and maximizing it again changes the resolution of the guest to some strange one and the player gets "nested" between GNOME3's taskbar as every other of Ubuntu's native windows. To switch to full screen again I have to Ctrl + Alt + Return twice. Can anyone please tell me if this is the nromal, expected behavior? Is there any way of "correcting" it? The host operating system is Ubuntu 12.04 (Final) and the guest is Windows 7 (both 64 bits).

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  • User has many computers, computers have many attributes in different tables, best way to JOIN?

    - by krismeld
    I have a table for users: USERS: ID | NAME | ---------------- 1 | JOHN | 2 | STEVE | a table for computers: COMPUTERS: ID | USER_ID | ------------------ 13 | 1 | 14 | 1 | a table for processors: PROCESSORS: ID | NAME | --------------------------- 27 | PROCESSOR TYPE 1 | 28 | PROCESSOR TYPE 2 | and a table for harddrives: HARDDRIVES: ID | NAME | ---------------------------| 35 | HARDDRIVE TYPE 25 | 36 | HARDDRIVE TYPE 90 | Each computer can have many attributes from the different attributes tables (processors, harddrives etc), so I have intersection tables like this, to link the attributes to the computers: COMPUTER_PROCESSORS: C_ID | P_ID | --------------| 13 | 27 | 13 | 28 | 14 | 27 | COMPUTER_HARDDRIVES: C_ID | H_ID | --------------| 13 | 35 | So user JOHN, with id 1 owns computer 13 and 14. Computer 13 has processor 27 and 28, and computer 13 has harddrive 35. Computer 14 has processor 27 and no harddrive. Given a user's id, I would like to retrieve a list of that user's computers with each computers attributes. I have figured out a query that gives me a somewhat of a result: SELECT computers.id, processors.id AS p_id, processors.name AS p_name, harddrives.id AS h_id, harddrives.name AS h_name, FROM computers JOIN computer_processors ON (computer_processors.c_id = computers.id) JOIN processors ON (processors.id = computer_processors.p_id) JOIN computer_harddrives ON (computer_harddrives.c_id = computers.id) JOIN harddrives ON (harddrives.id = computer_harddrives.h_id) WHERE computers.user_id = 1 Result: ID | P_ID | P_NAME | H_ID | H_NAME | ----------------------------------------------------------- 13 | 27 | PROCESSOR TYPE 1 | 35 | HARDDRIVE TYPE 25 | 13 | 28 | PROCESSOR TYPE 2 | 35 | HARDDRIVE TYPE 25 | But this has several problems... Computer 14 doesnt show up, because it has no harddrive. Can I somehow make an OUTER JOIN to make sure that all computers show up, even if there a some attributes they don't have? Computer 13 shows up twice, with the same harddrive listet for both. When more attributes are added to a computer (like 3 blocks of ram), the number of rows returned for that computer gets pretty big, and it makes it had to sort the result out in application code. Can I somehow make a query, that groups the two returned rows together? Or a query that returns NULL in the h_name column in the second row, so that all values returned are unique? EDIT: What I would like to return is something like this: ID | P_ID | P_NAME | H_ID | H_NAME | ----------------------------------------------------------- 13 | 27 | PROCESSOR TYPE 1 | 35 | HARDDRIVE TYPE 25 | 13 | 28 | PROCESSOR TYPE 2 | 35 | NULL | 14 | 27 | PROCESSOR TYPE 1 | NULL | NULL | Or whatever result that make it easy to turn it into an array like this [13] => [P_NAME] => [0] => PROCESSOR TYPE 1 [1] => PROCESSOR TYPE 2 [H_NAME] => [0] => HARDDRIVE TYPE 25 [14] => [P_NAME] => [0] => PROCESSOR TYPE 1

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  • LEFT OUTER JOIN in Linq - How to Force

    - by dodegaard
    I have a LEFT OUTER OUTER join in LINQ that is combining with the outer join condition and not providing the desired results. It is basically limiting my LEFT side result with this combination. Here is the LINQ and resulting SQL. What I'd like is for "AND ([t2].[EligEnd] = @p0" in the LINQ query to not bew part of the join condition but rather a subquery to filter results BEFORE the join. Thanks in advance (samples pulled from LINQPad) - Doug (from l in Users join mr in (from mri in vwMETRemotes where met.EligEnd == Convert.ToDateTime("2009-10-31") select mri) on l.Mahcpid equals mr.Mahcpid into lo from g in lo.DefaultIfEmpty() orderby l.LastName, l.FirstName where l.LastName.StartsWith("smith") && l.DeletedDate == null select g) Here is the resulting SQL -- Region Parameters DECLARE @p0 DateTime = '2009-10-31 00:00:00.000' DECLARE @p1 NVarChar(6) = 'smith%' -- EndRegion SELECT [t2].[test], [t2].[MAHCPID] AS [Mahcpid], [t2].[FirstName], [t2].[LastName], [t2].[Gender], [t2].[Address1], [t2].[Address2], [t2].[City], [t2].[State] AS [State], [t2].[ZipCode], [t2].[Email], [t2].[EligStart], [t2].[EligEnd], [t2].[Dependent], [t2].[DateOfBirth], [t2].[ID], [t2].[MiddleInit], [t2].[Age], [t2].[SSN] AS [Ssn], [t2].[County], [t2].[HomePhone], [t2].[EmpGroupID], [t2].[PopulationIdentifier] FROM [dbo].[User] AS [t0] LEFT OUTER JOIN ( SELECT 1 AS [test], [t1].[MAHCPID], [t1].[FirstName], [t1].[LastName], [t1].[Gender], [t1].[Address1], [t1].[Address2], [t1].[City], [t1].[State], [t1].[ZipCode], [t1].[Email], [t1].[EligStart], [t1].[EligEnd], [t1].[Dependent], [t1].[DateOfBirth], [t1].[ID], [t1].[MiddleInit], [t1].[Age], [t1].[SSN], [t1].[County], [t1].[HomePhone], [t1].[EmpGroupID], [t1].[PopulationIdentifier] FROM [dbo].[vwMETRemote] AS [t1] ) AS [t2] ON ([t0].[MAHCPID] = [t2].[MAHCPID]) AND ([t2].[EligEnd] = @p0) WHERE ([t0].[LastName] LIKE @p1) AND ([t0].[DeletedDate] IS NULL) ORDER BY [t0].[LastName], [t0].[FirstName]

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  • best command line tool to join videos

    - by user1079002
    I have used ffmpeg, but with it you have to first make mpg videos then do cat video1.mpg video2.mpg > joined.mpg and then convert to joined.mpg to joined.mp4 with ffmpeg to be able to upload on youtube. I heard there's mencoder which can join avi files without converting to mpg and using cat command. I'm making videos to upload on youtube so it needs to be avi mp4 or flv format. Which tool is the best to join videos from command line?

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  • How to Plug a Small Hole in NetBeans JSF (Join Table) Code Generation

    - by MarkH
    I was asked recently to provide an assist with designing and building a small-but-vital application that had at its heart some basic CRUD (Create, Read, Update, & Delete) functionality, built upon an Oracle database, to be accessible from various locations. Working from the stated requirements, I fleshed out the basic application and database designs and, once validated, set out to complete the first iteration for review. Using SQL Developer, I created the requisite tables, indices, and sequences for our first run. One of the tables was a many-to-many join table with three fields: one a primary key for that table, the other two being primary keys for the other tables, represented as foreign keys in the join table. Here is a simplified example of the trio of tables: Once the database was in decent shape, I fired up NetBeans to let it have first shot at the code. NetBeans does a great job of generating a mountain of essential code, saving developers what must be millions of hours of effort each year by building a basic foundation with a few clicks and keystrokes. Lest you think it (or any tool) can do everything for you, however, occasionally something tosses a paper clip into the delicate machinery and makes you open things up to fix them. Join tables apparently qualify.  :-) In the case above, the entity class generated for the join table (New Entity Classes from Database) included an embedded object consisting solely of the two foreign key fields as attributes, in addition to an object referencing each one of the "component" tables. The Create page generated (New JSF Pages from Entity Classes) worked well to a point, but when trying to save, we were greeted with an error: Transaction aborted. Hmm. A quick debugger session later and I'd identified the issue: when trying to persist the new join-table object, the embedded "foreign-keys-only" object still had null values for its two (required value) attributes...even though the embedded table objects had populated key attributes. Here's the simple fix: In the join-table controller class, find the public String create() method. It will look something like this:     public String create() {        try {            getFacade().create(current);            JsfUtil.addSuccessMessage(ResourceBundle.getBundle("/Bundle").getString("JoinEntityCreated"));            return prepareCreate();        } catch (Exception e) {            JsfUtil.addErrorMessage(e, ResourceBundle.getBundle("/Bundle").getString("PersistenceErrorOccured"));            return null;        }    } To restore balance to the force, modify the create() method as follows (changes in red):     public String create() {         try {            // Add the next two lines to resolve:            current.getJoinEntityPK().setTbl1id(current.getTbl1().getId().toBigInteger());            current.getJoinEntityPK().setTbl2id(current.getTbl2().getId().toBigInteger());            getFacade().create(current);            JsfUtil.addSuccessMessage(ResourceBundle.getBundle("/Bundle").getString("JoinEntityCreated"));            return prepareCreate();        } catch (Exception e) {            JsfUtil.addErrorMessage(e, ResourceBundle.getBundle("/Bundle").getString("PersistenceErrorOccured"));            return null;        }    } I'll be refactoring this code shortly, but for now, it works. Iteration one is complete and being reviewed, and we've met the milestone. Here's to happy endings (and customers)! All the best,Mark

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  • Is there limit of "join" or the "where" or length of SQL query ?

    - by Chetan sharma
    Actually i was trying to get data from elgg database based on multiple joins. It generated very big query with lots of JOIN statements and query never respond back. SELECT distinct e.* from test_entities e JOIN test_metadata m1 on e.guid = m1.entity_guid JOIN test_metastrings ms1 on ms1.id = m1.name_id JOIN test_metastrings mv1 on mv1.id = m1.value_id JOIN test_objects_entity obj on e.guid = obj.guid JOIN test_metadata m2 on e.guid = m2.entity_guid JOIN test_metastrings ms2 on ms2.id = m2.name_id JOIN test_metastrings mv2 on mv2.id = m2.value_id JOIN test_metadata m3 on e.guid = m3.entity_guid JOIN test_metastrings ms3 on ms3.id = m3.name_id JOIN test_metastrings mv3 on mv3.id = m3.value_id JOIN test_metadata m4 on e.guid = m4.entity_guid JOIN test_metastrings ms4 on ms4.id = m4.name_id JOIN test_metastrings mv4 on mv4.id = m4.value_id JOIN test_metadata m5 on e.guid = m5.entity_guid JOIN test_metastrings ms5 on ms5.id = m5.name_id JOIN test_metastrings mv5 on mv5.id = m5.value_id JOIN test_metadata m6 on e.guid = m6.entity_guid JOIN test_metastrings ms6 on ms6.id = m6.name_id JOIN test_metastrings mv6 on mv6.id = m6.value_id where ms1.string='expire_date' and mv1.string <= 1272565800 and ms2.string='homecity' and mv2.string LIKE "%dasf%" and ms3.string='schoolname' and mv3.string LIKE "%asdf%" and ms4.string='award_amount' and mv4.string <= 123 and ms5.string='no_of_awards' and mv5.string <= 7 and ms6.string='avg_rating' and mv6.string <= 2 and e.type = 'object' and e.subtype = 5 and e.site_guid = 1 and (obj.title like '%asdf%') OR (obj.description like '%asdf%') and ( (e.access_id = -2 AND e.owner_guid IN ( SELECT guid_one FROM test_entity_relationships WHERE relationship='friend' AND guid_two=5 )) OR (e.access_id IN (2,1) OR (e.owner_guid = 5) OR ( e.access_id = 0 AND e.owner_guid = 5 ) ) and e.enabled='yes') and ( (m1.access_id = -2 AND m1.owner_guid IN ( SELECT guid_one FROM test_entity_relationships WHERE relationship='friend' AND guid_two=5 )) OR (m1.access_id IN (2,1) OR (m1.owner_guid = 5) OR ( m1.access_id = 0 AND m1.owner_guid = 5 ) ) and m1.enabled='yes') and ( (m2.access_id = -2 AND m2.owner_guid IN ( SELECT guid_one FROM test_entity_relationships WHERE relationship='friend' AND guid_two=5 )) OR (m2.access_id IN (2,1) OR (m2.owner_guid = 5) OR ( m2.access_id = 0 AND m2.owner_guid = 5 ) ) and m2.enabled='yes') and ( (m3.access_id = -2 AND m3.owner_guid IN ( SELECT guid_one FROM test_entity_relationships WHERE relationship='friend' AND guid_two=5 )) OR (m3.access_id IN (2,1) OR (m3.owner_guid = 5) OR ( m3.access_id = 0 AND m3.owner_guid = 5 ) ) and m3.enabled='yes') and ( (m4.access_id = -2 AND m4.owner_guid IN ( SELECT guid_one FROM test_entity_relationships WHERE relationship='friend' AND guid_two=5 )) OR (m4.access_id IN (2,1) OR (m4.owner_guid = 5) OR ( m4.access_id = 0 AND m4.owner_guid = 5 ) ) and m4.enabled='yes') and ( (m5.access_id = -2 AND m5.owner_guid IN ( SELECT guid_one FROM test_entity_relationships WHERE relationship='friend' AND guid_two=5 )) OR (m5.access_id IN (2,1) OR (m5.owner_guid = 5) OR ( m5.access_id = 0 AND m5.owner_guid = 5 ) ) and m5.enabled='yes') and ( (m6.access_id = -2 AND m6.owner_guid IN ( SELECT guid_one FROM test_entity_relationships WHERE relationship='friend' AND guid_two=5 )) OR (m6.access_id IN (2,1) OR (m6.owner_guid = 5) OR ( m6.access_id = 0 AND m6.owner_guid = 5 ) ) and m6.enabled='yes') order by obj.title limit 0, 10 this is the query that i am running.

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  • Can I expect a performance gain from removing this JOIN?

    - by makeee
    I have a "items" table with 1 million rows and a "users" table with 20,000 rows. When I select from the "items" table I do a join on the "users" table (items.user_id = user.id), so that I can grab the "username" from the users table. I'm considering adding a username column to the items table and removing the join. Can I expect a decent performance increase from this? It's already quite fast, but it would be nice to decrease my load (which is pretty high). The downside is that if the user changes their username, items will still reflect their old username, but this is okay with me if I can expect a decent performance increase. I'm asking stackoverflow because benchmarks aren't telling me too much. Both queries finish very quickly. Regardless, I'm wondering if removing the join would lighten load on the database to any significant degree.

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  • Duplicity Full Backup Lifetime and Efficiency

    - by Tim Lytle
    I'm trying to work up a backup strategy for some clients, and am leaning towards duplicity for remote backup (already use rdiff-backup for internal/on location backups). Is it reasonable to want a full backup every so often? Since duplicity increments forward, each incremental backup is relying on the previous increment, and all are relying heavily on the last full backup. Should that become corrupt, bad things happen. A related question: Does Duplicity test the incremental backups for consistency? Assuming I do want a full backup every so often, how efficiently does duplicity create that full backup? Can/does it check file signatures and copy unchanged data from previous full backups/increments? Basically creating a new 'full' archive transferring new/changed data and merging existing unchanged data? Right now my concern is that running a full backup is needed, but the consistent large bandwidth use of full backups will make this unreasonable for some clients.

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  • python sqlite3 won't execute a join, but sqlite3 alone will

    - by Francis Davey
    Using the sqlite3 standard library in python 2.6.4, the following query works fine on sqlite3 command line: select segmentid, node_t, start, number,title from ((segments inner join position using (segmentid)) left outer join titles using (legid, segmentid)) left outer join numbers using (start, legid, version); But If I execute it via the sqlite3 library in python I get an error: >>> conn=sqlite3.connect('data/test.db') >>> conn.execute('''select segmentid, node_t, start, number,title from ((segments inner join position using (segmentid)) left outer join titles using (legid, segmentid)) left outer join numbers using (start, legid, version)''') Traceback (most recent call last): File "<stdin>", line 1, in <module> sqlite3.OperationalError: cannot join using column start - column not present in both tables The (computed) table on the left hand side of the join appears to have the relevant column because if I check it by itself I get: >>> conn.execute('''select * from ((segments inner join position using (segmentid)) left outer join titles using (legid, segmentid)) limit 20''').description (('segmentid', None, None, None, None, None, None), ('html', None, None, None, None, None, None), ('node_t', None, None, None, None, None, None), ('legid', None, None, None, None, None, None), ('version', None, None, None, None, None, None), ('start', None, None, None, None, None, None), ('title', None, None, None, None, None, None)) My schema is: CREATE TABLE leg (legid integer primary key, t char(16), year char(16), no char(16)); CREATE TABLE numbers ( number char(16), legid integer, version integer, start integer, end integer, prev integer, prev_number char(16), next integer, next_number char(16), primary key (number, legid, version)); CREATE TABLE position ( segmentid integer, legid integer, version integer, start integer, primary key (segmentid, legid, version)); CREATE TABLE 'segments' (segmentid integer primary key, html text, node_t integer); CREATE TABLE titles (legid integer, segmentid integer, title text, primary key (legid, segmentid)); CREATE TABLE versions (legid integer, version integer, primary key (legid, version)); CREATE INDEX idx_numbers_start on numbers (legid, version, start); I am baffled as to what I am doing wrong. I have tried quitting/restarting both the python and sqlite command lines and can't see what I'm doing wrong. It may be completely obvious.

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  • Hibernate noob fetch join problem

    - by Bruce
    Hi all I have two classes, Test2 and Test3. Test2 has an attribute test3 that is an instance of Test3. In other words, I have a unidirectional OneToOne association, with test2 having a reference to test3. When I select Test2 from the db, I can see that a separate select is being made to get the details of the associated test3 class. This is the famous 1+N selects problem. To fix this to use a single select, I am trying to use the fetch=join annotation, which I understand to be @Fetch(FetchMode.JOIN) However, with fetch set to join, I still see separate selects. Here are the relevant portions of my setup.. hibernate.cfg.xml: <property name="max_fetch_depth">2</property> Test2: public class Test2 { @OneToOne (cascade=CascadeType.ALL , fetch=FetchType.EAGER) @JoinColumn (name="test3_id") @Fetch(FetchMode.JOIN) public Test3 getTest3() { return test3; } NB I set the FetchType to EAGER out of desperation, even though it defaults to EAGER anyway for OneToOne mappings, but it made no difference. Thanks for any help! Edit: I've pretty much given up on trying to use FetchMode.JOIN - can anyone confirm that they have got it to work ie produce a left outer join? In the docs I see that "Usually, the mapping document is not used to customize fetching. Instead, we keep the default behavior, and override it for a particular transaction, using left join fetch in HQL" If I do a left join fetch instead: query = session.createQuery("from Test2 t2 left join fetch t2.test3"); then I do indeed get the results I want - ie a left outer join in the query.

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  • SQL Server full text query across multiple tables - why so slow?

    - by Mikey Cee
    Hi. I'm trying to understand the performance of an SQL Server 2008 full-text query I am constructing. The following query, using a full-text index, returns the correct results immediately: SELECT O.ID, O.Name FROM dbo.EventOccurrence O WHERE FREETEXT(O.Name, 'query') ie, all EventOccurrences with the word 'query' in their name. And the following query, using a full-text index from a different table, also returns straight away: SELECT V.ID, V.Name FROM dbo.Venue V WHERE FREETEXT(V.Name, 'query') ie. all Venues with the word 'query' in their name. But if I try to join the tables and do both full-text queries at once, it 12 seconds to return: SELECT O.ID, O.Name FROM dbo.EventOccurrence O INNER JOIN dbo.Event E ON O.EventID = E.ID INNER JOIN dbo.Venue V ON E.VenueID = V.ID WHERE FREETEXT(E.Name, 'search') OR FREETEXT(V.Name, 'search') Here is the execution plan: http://uploadpad.com/files/query.PNG From my reading, I didn't think it was even possible to make a free text query across multiple tables in this way, so I'm not sure I am understanding this correctly. Note that if I remove the WHERE clause from this last query then it returns all results within a second, so it's definitely the full-text that is causing the issue here. Can someone explain (i) why this is so slow and (ii) if this is even supported / if I am even understanding this correctly. Thanks in advance for your help.

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  • Need help in SQL and Sequel involving inner join and where/filter

    - by mhd
    Need help transfer sql to sequel: SQL: SELECT table_t.curr_id FROM table_t INNER JOIN table_c ON table_c.curr_id = table_t.curr_id INNER JOIN table_b ON table_b.bic = table_t.bic WHERE table_c.alpha_id = 'XXX' AND table_b.name='Foo'; I'm stuck in the sequel, I don't know how to filter, so far like this: cid= table_t.select(:curr_id). join(:table_c, :curr_id=>:curr_id). join(:table_b, :bic=>:bic). filter( ????? ) Answer with better idiom than above is appreciated as well.Tnx. UPDATE: I have to modify a little to make it works cid = DB[:table_t].select(:table_t__curr_id). join(:table_c, :curr_id=>:curr_id). join(:table_b, :bic=>:table_t__bic). #add table_t or else ERROR: column table_c.bic does not exist filter(:table_c__alpha_id => 'XXX', :table_b__name => 'Foo') without filter, cid = DB[:table_t].select(:table_t__curr_id). join(:table_c, :curr_id=>:curr_id, :alpha_id=>'XXX'). join(:table_b, :bic=>:table_t__bic, :name=>'Foo') btw I use pgsql 9.0

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  • How to, set-justification-full per line in emacs without messing up on return?

    - by inaki
    Hi, I have two problems in emacs. First. How do I set-justification-full for the whole document? I can do M-X set-justification-full for a region successfully, but I would like to make it work in the whole document. Second. How do I manage not to get lines jumping from one place to another when I have done set-justification-full, and press enter? That is, say I have the following paragraph: %%if normalized beforehand then the rule would be, %%\begin{gather} %%(\hat{y}_{i}^{'} \times \hat{y}_{i+1}^{'}) \cdot \hat{z}_{mst} = 1, \quad then \ \Omega 1\\ %%(\hat{y}_{i}^{'} \times \hat{y}_{i+1}^{'}) \cdot \hat{z}_{mst} = %%-1,\quad then \ \Omega When I do set-justification-full, it will convert six lines into three lines, that is, what I want to do is a per line justification. Is this possible in emacs? Thank you all very much for your help. Inhaki2006

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  • Change query to use a LEFT join

    - by Craig
    I have a query which is failing, as it needs to be using LEFT JOIN, as opposed to the default INNER JOIN used by the 'join' syntax: var users = (from u in this._context.Users join p in this._context.Profiles on u.ProfileID equals p.ID join vw in this._context.vw_Contacts on u.ContactID equals vw.ID orderby u.Code select new { ID = u.ID, profileId = p.ID, u.ContactID, u.Code, u.UserName, vw.FileAs, p.Name, u.LastLogout, u.Inactive, u.Disabled }).ToList(); How would i re-write this so that is utilises a LEFT join?

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  • How can you access two identically-named columns in a MySQL LEFT JOIN query?

    - by George Edison
    I have two tables. table_x: id INT(11) tag INT(11) table_tags: id INT(11) name VARCHAR(255) Then I use PHP to perform the following query: SELECT * FROM table_x LEFT JOIN table_tags ON table_x.tag = table_tags.id The only problem is: how do I access table_x.id and table_tags.id in the results? Here is the PHP code: $query = "SELECT * FROM table_x LEFT JOIN table_tags ON table_x.tag = table_tags.id"; $results = mysql_query($query); while($row = mysql_fetch_array($results)) { // how do I now access table_x.id and table_tags.id ??? }

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  • SQL SERVER – FT_IFTS_SCHEDULER_IDLE_WAIT – Full Text – Wait Type – Day 13 of 28

    - by pinaldave
    In the last few days during this series, I got many question about this Wait type. It would be great if you read my original related wait stats query in the first post because I have filtered it out in WHERE clause. However, I still get questions about this being one of the most wait types they encounter. The truth is, this is a background task processing and it really does not matter and it should be filtered out. There are many new Wait types related to Full Text Search that are introduced in SQL Server 2008. If you run the following query, you will be able to find them in the list. Currently there is not enough information for all of them available on BOL or any other place. But don’t worry; I will write an in-depth article when I learn more about them. SELECT * FROM sys.dm_os_wait_stats WHERE wait_type LIKE 'FT_%' The result set will contain following rows. FT_RESTART_CRAWL FT_METADATA_MUTEX FT_IFTSHC_MUTEX FT_IFTSISM_MUTEX FT_IFTS_RWLOCK FT_COMPROWSET_RWLOCK FT_MASTER_MERGE FT_IFTS_SCHEDULER_IDLE_WAIT We have understood so far that there is not much information available. But the problem is when you have this Wait type, what should you do?  The answer is to filter them out for the moment (i.e, do not pay attention on them) and focus on other pressing issues in wait stats or performance tuning. Here are two of my informal suggestions, which are totally independent from wait stats: Turn off the Full Text Search service in your system if you are  not necessarily using it on your server. Learn proper Full Text Search methodology. You can get Michael Coles’ book: Pro Full-Text Search in SQL Server 2008. Now I invite you to speak out your suggestions or any input regarding Full Text-related best practices and wait stats issue. Please leave a comment. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • SQL SERVER – Transaction Log Full – Transaction Log Larger than Data File – Notes from Fields #001

    - by Pinal Dave
    I am very excited to announce a new series on this blog – Notes from Fields. I have been blogging for almost 7 years on this blog and it has been a wonderful experience. Though, I have extensive experience with SQL and Databases, it is always a good idea that we consult experts for their advice and opinion. Following the same thought process, I have started this new series of Notes from Fields. In this series we will have notes from various experts in the database world. My friends at Linchpin People have graciously decided to support me in my new initiation.  Linchpin People are database coaches and wellness experts for a data driven world. In this very first episode of the Notes from Fields series database expert Tim Radney (partner at Linchpin People) explains a very common issue DBA and Developer faces in their career, when database logs fills up your hard-drive or your database log is larger than your data file. Read the experience of Tim in his own words. As a consultant, I encounter a number of common issues with clients.  One of the more common things I encounter is finding a user database in the FULL recovery model that does not make a regular transaction log backups or ever had a transaction log backup. When I find this, usually the transaction log is several times larger than the data file. Finding this issue is very significant to me in that it allows to me to discuss service level agreements with the client. I get to ask questions such as, are nightly full backups sufficient or do they need point in time recovery.  This conversation has now signed with the customer and gets them to thinking about their disaster recovery and high availability solutions. This issue is also very prominent on SQL Server forums and usually has the title of “Help, my transaction log has filled up my disk” or “Help, my transaction log is many times the size of my database”. In cases where the client only needs the previous full nights backup, I am able to change the recovery model to SIMPLE and shrink the transaction log using DBCC SHRINKFILE (2,1) or by specifying the transaction log file name by using DBCC SHRINKFILE (file_name, target_size). When the client needs point in time recovery then in most cases I will still end up switching the client to the SIMPLE recovery model to truncate the transaction log followed by a full backup. I will then schedule a SQL Agent job to make the regular transaction log backups with an interval determined by the client to meet their service level agreements. It should also be noted that typically when I find an overgrown transaction log the virtual log file count is also out of control. I clean up will always take that into account as well.  That is a subject for a future blog post. If your SQL Server is facing any issue we can Fix Your SQL Server. Additional reading: Monitoring SQL Server Database Transaction Log Space Growth – DBCC SQLPERF(logspace)  SQL SERVER – How to Stop Growing Log File Too Big Shrinking Truncate Log File – Log Full Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Inequality joins, Asynchronous transformations and Lookups : SSIS

    - by jamiet
    It is pretty much accepted by SQL Server Integration Services (SSIS) developers that synchronous transformations are generally quicker than asynchronous transformations (for a description of synchronous and asynchronous transformations go read Asynchronous and synchronous data flow components). Notice I said “generally” and not “always”; there are circumstances where using asynchronous transformations can be beneficial and in this blog post I’ll demonstrate such a scenario, one that is pretty common when building data warehouses. Imagine I have a [Customer] dimension table that manages information about all of my customers as a slowly-changing dimension. If that is a type 2 slowly changing dimension then you will likely have multiple rows per customer in that table. Furthermore you might also have datetime fields that indicate the effective time period of each member record. Here is such a table that contains data for four dimension members {Terry, Max, Henry, Horace}: Notice that we have multiple records per customer and that the [SCDStartDate] of a record is equivalent to the [SCDEndDate] of the record that preceded it (if there was one). (Note that I am on record as saying I am not a fan of this technique of storing an [SCDEndDate] but for the purposes of clarity I have included it here.) Anyway, the idea here is that we will have some incoming data containing [CustomerName] & [EffectiveDate] and we need to use those values to lookup [Customer].[CustomerId]. The logic will be: Lookup a [CustomerId] WHERE [CustomerName]=[CustomerName] AND [SCDStartDate] <= [EffectiveDate] AND [EffectiveDate] <= [SCDEndDate] The conventional approach to this would be to use a full cached lookup but that isn’t an option here because we are using inequality conditions. The obvious next step then is to use a non-cached lookup which enables us to change the SQL statement to use inequality operators: Let’s take a look at the dataflow: Notice these are all synchronous components. This approach works just fine however it does have the limitation that it has to issue a SQL statement against your lookup set for every row thus we can expect the execution time of our dataflow to increase linearly in line with the number of rows in our dataflow; that’s not good. OK, that’s the obvious method. Let’s now look at a different way of achieving this using an asynchronous Merge Join transform coupled with a Conditional Split. I’ve shown it post-execution so that I can include the row counts which help to illustrate what is going on here: Notice that there are more rows output from our Merge Join component than on the input. That is because we are joining on [CustomerName] and, as we know, we have multiple records per [CustomerName] in our lookup set. Notice also that there are two asynchronous components in here (the Sort and the Merge Join). I have embedded a video below that compares the execution times for each of these two methods. The video is just over 8minutes long. View on Vimeo  For those that can’t be bothered watching the video I’ll tell you the results here. The dataflow that used the Lookup transform took 36 seconds whereas the dataflow that used the Merge Join took less than two seconds. An illustration in case it is needed: Pretty conclusive proof that in some scenarios it may be quicker to use an asynchronous component than a synchronous one. Your mileage may of course vary. The scenario outlined here is analogous to performance tuning procedural SQL that uses cursors. It is common to eliminate cursors by converting them to set-based operations and that is effectively what we have done here. Our non-cached lookup is performing a discrete operation for every single row of data, exactly like a cursor does. By eliminating this cursor-in-disguise we have dramatically sped up our dataflow. I hope all of that proves useful. You can download the package that I demonstrated in the video from my SkyDrive at http://cid-550f681dad532637.skydrive.live.com/self.aspx/Public/BlogShare/20100514/20100514%20Lookups%20and%20Merge%20Joins.zip Comments are welcome as always. @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Performance Enhancement in Full-Text Search Query

    - by Calvin Sun
    Ever since its first release, we are continuing consolidating and developing InnoDB Full-Text Search feature. There is one recent improvement that worth blogging about. It is an effort with MySQL Optimizer team that simplifies some common queries’ Query Plans and dramatically shorted the query time. I will describe the issue, our solution and the end result by some performance numbers to demonstrate our efforts in continuing enhancement the Full-Text Search capability. The Issue: As we had discussed in previous Blogs, InnoDB implements Full-Text index as reversed auxiliary tables. The query once parsed will be reinterpreted into several queries into related auxiliary tables and then results are merged and consolidated to come up with the final result. So at the end of the query, we’ll have all matching records on hand, sorted by their ranking or by their Doc IDs. Unfortunately, MySQL’s optimizer and query processing had been initially designed for MyISAM Full-Text index, and sometimes did not fully utilize the complete result package from InnoDB. Here are a couple examples: Case 1: Query result ordered by Rank with only top N results: mysql> SELECT FTS_DOC_ID, MATCH (title, body) AGAINST ('database') AS SCORE FROM articles ORDER BY score DESC LIMIT 1; In this query, user tries to retrieve a single record with highest ranking. It should have a quick answer once we have all the matching documents on hand, especially if there are ranked. However, before this change, MySQL would almost retrieve rankings for almost every row in the table, sort them and them come with the top rank result. This whole retrieve and sort is quite unnecessary given the InnoDB already have the answer. In a real life case, user could have millions of rows, so in the old scheme, it would retrieve millions of rows' ranking and sort them, even if our FTS already found there are two 3 matched rows. Apparently, the million ranking retrieve is done in vain. In above case, it should just ask for 3 matched rows' ranking, all other rows' ranking are 0. If it want the top ranking, then it can just get the first record from our already sorted result. Case 2: Select Count(*) on matching records: mysql> SELECT COUNT(*) FROM articles WHERE MATCH (title,body) AGAINST ('database' IN NATURAL LANGUAGE MODE); In this case, InnoDB search can find matching rows quickly and will have all matching rows. However, before our change, in the old scheme, every row in the table was requested by MySQL one by one, just to check whether its ranking is larger than 0, and later comes up a count. In fact, there is no need for MySQL to fetch all rows, instead InnoDB already had all the matching records. The only thing need is to call an InnoDB API to retrieve the count The difference can be huge. Following query output shows how big the difference can be: mysql> select count(*) from searchindex_inno where match(si_title, si_text) against ('people')  +----------+ | count(*) | +----------+ | 666877 | +----------+ 1 row in set (16 min 17.37 sec) So the query took almost 16 minutes. Let’s see how long the InnoDB can come up the result. In InnoDB, you can obtain extra diagnostic printout by turning on “innodb_ft_enable_diag_print”, this will print out extra query info: Error log: keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 2 secs: row(s) 666877: error: 10 ft_init() ft_init_ext() keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 3 secs: row(s) 666877: error: 10 Output shows it only took InnoDB only 3 seconds to get the result, while the whole query took 16 minutes to finish. So large amount of time has been wasted on the un-needed row fetching. The Solution: The solution is obvious. MySQL can skip some of its steps, optimize its plan and obtain useful information directly from InnoDB. Some of savings from doing this include: 1) Avoid redundant sorting. Since InnoDB already sorted the result according to ranking. MySQL Query Processing layer does not need to sort to get top matching results. 2) Avoid row by row fetching to get the matching count. InnoDB provides all the matching records. All those not in the result list should all have ranking of 0, and no need to be retrieved. And InnoDB has a count of total matching records on hand. No need to recount. 3) Covered index scan. InnoDB results always contains the matching records' Document ID and their ranking. So if only the Document ID and ranking is needed, there is no need to go to user table to fetch the record itself. 4) Narrow the search result early, reduce the user table access. If the user wants to get top N matching records, we do not need to fetch all matching records from user table. We should be able to first select TOP N matching DOC IDs, and then only fetch corresponding records with these Doc IDs. Performance Results and comparison with MyISAM The result by this change is very obvious. I includes six testing result performed by Alexander Rubin just to demonstrate how fast the InnoDB query now becomes when comparing MyISAM Full-Text Search. These tests are base on the English Wikipedia data of 5.4 Million rows and approximately 16G table. The test was performed on a machine with 1 CPU Dual Core, SSD drive, 8G of RAM and InnoDB_buffer_pool is set to 8 GB. Table 1: SELECT with LIMIT CLAUSE mysql> SELECT si_title, match(si_title, si_text) against('family') as rel FROM si WHERE match(si_title, si_text) against('family') ORDER BY rel desc LIMIT 10; InnoDB MyISAM Times Faster Time for the query 1.63 sec 3 min 26.31 sec 127 You can see for this particular query (retrieve top 10 records), InnoDB Full-Text Search is now approximately 127 times faster than MyISAM. Table 2: SELECT COUNT QUERY mysql>select count(*) from si where match(si_title, si_text) against('family‘); +----------+ | count(*) | +----------+ | 293955 | +----------+ InnoDB MyISAM Times Faster Time for the query 1.35 sec 28 min 59.59 sec 1289 In this particular case, where there are 293k matching results, InnoDB took only 1.35 second to get all of them, while take MyISAM almost half an hour, that is about 1289 times faster!. Table 3: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county California 0.93 sec 32.03 sec 34.4 President united states of America 2.5 sec 36.98 sec 14.8 Table 4: SELECT title and text with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, si_title, si_text, ... as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.61 sec 41.65 sec 68.3 family film 1.15 sec 47.17 sec 41.0 Pizza restaurant orange county california 1.03 sec 48.2 sec 46.8 President united states of america 2.49 sec 44.61 sec 17.9 Table 5: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel  FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county califormia 0.93 sec 32.03 sec 34.4 President united states of america 2.5 sec 36.98 sec 14.8 Table 6: SELECT COUNT(*) mysql> SELECT count(*) FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.47 sec 82 sec 174.5 family film 0.83 sec 131 sec 157.8 Pizza restaurant orange county califormia 0.74 sec 106 sec 143.2 President united states of america 1.96 sec 220 sec 112.2  Again, table 3 to table 6 all showing InnoDB consistently outperform MyISAM in these queries by a large margin. It becomes obvious the InnoDB has great advantage over MyISAM in handling large data search. Summary: These results demonstrate the great performance we could achieve by making MySQL optimizer and InnoDB Full-Text Search more tightly coupled. I think there are still many cases that InnoDB’s result info have not been fully taken advantage of, which means we still have great room to improve. And we will continuously explore the area, and get more dramatic results for InnoDB full-text searches. Jimmy Yang, September 29, 2012

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  • Windows domain full hostnames cannot be resolved resulting in intranet not working

    - by OpethR
    the domain: is foo.bar.local full hostname is: bla.foo.bar.local short hostname is: bla I installed winbind. here is my smb.conf: name resolve order = lmhosts host wins bcast here is my nsswitch.conf: hosts: files mdns4_minimal [NOTFOUND=return] dns wins mdns4 when I try to ping full hostname, I get: "ping: unknown host" when I ping short hostname it works and shows me PING bla.foo.bar.local (10.11.20.135) 56(84) bytes of data. 64 bytes from bla.foo.bar.local (10.11.20.135): icmp_req=1 ttl=62 time=49.7 ms *notice that it manages to get the full hostname!? :S now the only reason I need it is cuz I'm trying to reach intranet websites. when I type short hostname "bla" in firefox address bar, it automatically changes it to the full hostname (which is good, right?!) but then it says: Server not found Firefox can't find the server at bla.foo.bar.local. what am I doing wrong? it's driving me nutz. so if you are wandering then yes, it is company intranet I'm trying to reach from ubuntu. If I use my crappy winxp everything is working perfectly well.

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  • Ubuntu 12.04 Full Screen without Unity Hub

    - by Xatolos
    I couldn't find an answer for this, so I thought I would try here. My problem is, I have some games on Wine that play in full screen mode but I can't really get them in full screen mode. When they start up, they end up with the GUI's "HUD" overlapping the game which is really annoying and well kills the option to play the game. This has also happened in a few of my Linux programs as well. While I wrote its a problem with Unity, it really isn't limited to this though. I've done full screen mode on Unity and had the Unity side bar and top menu overlap, I've used Gnome and had the same issue happen, Gnome menu is in the top, Cinnamon had the same issue. Sometimes if I Alt-Tab out of it and back into the program it MIGHT remove the HUD but that doesn't always work, and lets face it, full screen mode that is killed by the GUI just isn't something that can really be ignored. Any suggestions or help would be highly welcomed. My laptop http://www.cnet.com/laptops/asus-g53jw-a1-15/4507-3121_7-34210244.html edit Seems so far to be an issue with Unity and Gnome being in 3D mode, and possibly an issue with my NVidia card and XServe (I think that was it...). Going to Unity/Gnome 2d modes seem to help with this for the moment...

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