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  • String formatting help

    - by Camran
    I have this: 2010-04-08T01:01:00Z I want to remove the 'T' and everything behind it as well. Also I would like to rewrite the date into this format: 08-04-2010 How can I do this the easiest way? Thanks

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  • date in future for Rails

    - by Adnan
    Hello, I am trying to make a validation that will validate that the entered date is in future and that the selected date is in the next 7 days. In order to validate if the date is in future I use; valid_until.future? and this one works fine, but to make a validation to check if the date selected is withing 7 days from now?

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  • Humanizing time

    - by keruilin
    I have a number of products that are perishable. Therefore, each product has an attribute called hours_expiration that tells how many hours the product can be used before it goes bad. For ex, apple expires in 168 hours; nut expires in 4320 hours. Given, the product's hours-to-expiration and the current time (Time.now or Date.now), how can I humanize the time-to-expiration in some of the following sample ways? Your item is set to expire in about: 6 months and 14 days 1 month and 13 days 1 month and 1 day 27 days 1 day 23 hours 1 hour 50 minutes 1 minute Looking for something robust and simple!

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  • converting timestamp to nanoseconds

    - by kuki
    I have a certain value of date and time say 28-3-2012(date) - 10:36:45(time) . I wish to convert this whole timestamp to nanoseconds with the precision of nanoseconds. As in the user would input the time and date as shown but internally i have to be accurate upto nanoseconds and convert the whole thing to nanoseconds to form a unique key assigned to a specific object created at that particular time. Could some one please help me with the same..

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  • Query specific logs from event log using nxlog

    - by user170899
    Below is my nxlog configuration define ROOT C:\Program Files (x86)\nxlog Moduledir %ROOT%\modules CacheDir %ROOT%\data Pidfile %ROOT%\data\nxlog.pid SpoolDir %ROOT%\data LogFile %ROOT%\data\nxlog.log <Extension json> Module xm_json </Extension> <Input internal> Module im_internal </Input> <Input eventlog> Module im_msvistalog Query <QueryList>\ <Query Id="0">\ <Select Path="Security">*</Select>\ </Query>\ </QueryList> </Input> <Output out> Module om_tcp Host localhost Port 3515 Exec $EventReceivedTime = integer($EventReceivedTime) / 1000000; \ to_json(); </Output> <Route 1> Path eventlog, internal => out </Route> <Select Path="Security">*</Select>\ - * gets everything from the Security log, but my requirement is to get specific logs starting with EventId - 4663. How do i do this? Please help. Thanks.

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  • Query Execution Failed in Reporting Services reports

    - by Chris Herring
    I have some reporting services reports that talk to Analysis Services and at times they fail with the following error: An error occurred during client rendering. An error has occurred during report processing. Query execution failed for dataset 'AccountManagerAccountManager'. The connection cannot be used while an XmlReader object is open. This occurs sometimes when I change selections in the filter. It also occurs when the machine has been under heavy load and then will consistently error until SSAS is restarted. The log file contains the following error: processing!ReportServer_0-18!738!04/06/2010-11:01:14:: e ERROR: Throwing Microsoft.ReportingServices.ReportProcessing.ReportProcessingException: Query execution failed for dataset 'AccountManagerAccountManager'., ; Info: Microsoft.ReportingServices.ReportProcessing.ReportProcessingException: Query execution failed for dataset 'AccountManagerAccountManager'. ---> System.InvalidOperationException: The connection cannot be used while an XmlReader object is open. at Microsoft.AnalysisServices.AdomdClient.XmlaClient.CheckConnection() at Microsoft.AnalysisServices.AdomdClient.XmlaClient.ExecuteStatement(String statement, IDictionary connectionProperties, IDictionary commandProperties, IDataParameterCollection parameters, Boolean isMdx) at Microsoft.AnalysisServices.AdomdClient.AdomdConnection.XmlaClientProvider.Microsoft.AnalysisServices.AdomdClient.IExecuteProvider.ExecuteTabular(CommandBehavior behavior, ICommandContentProvider contentProvider, AdomdPropertyCollection commandProperties, IDataParameterCollection parameters) at Microsoft.AnalysisServices.AdomdClient.AdomdCommand.ExecuteReader(CommandBehavior behavior) at Microsoft.AnalysisServices.AdomdClient.AdomdCommand.System.Data.IDbCommand.ExecuteReader(CommandBehavior behavior) at Microsoft.ReportingServices.DataExtensions.AdoMdCommand.ExecuteReader(CommandBehavior behavior) at Microsoft.ReportingServices.OnDemandProcessing.RuntimeDataSet.RunDataSetQuery() Can anyone shed light on this issue?

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  • Query Execution Failed in Reporting Services reports

    - by Chris Herring
    I have some reporting services reports that talk to Analysis Services and at times they fail with the following error: An error occurred during client rendering. An error has occurred during report processing. Query execution failed for dataset 'AccountManagerAccountManager'. The connection cannot be used while an XmlReader object is open. This occurs sometimes when I change selections in the filter. It also occurs when the machine has been under heavy load and then will consistently error until SSAS is restarted. The log file contains the following error: processing!ReportServer_0-18!738!04/06/2010-11:01:14:: e ERROR: Throwing Microsoft.ReportingServices.ReportProcessing.ReportProcessingException: Query execution failed for dataset 'AccountManagerAccountManager'., ; Info: Microsoft.ReportingServices.ReportProcessing.ReportProcessingException: Query execution failed for dataset 'AccountManagerAccountManager'. ---> System.InvalidOperationException: The connection cannot be used while an XmlReader object is open. at Microsoft.AnalysisServices.AdomdClient.XmlaClient.CheckConnection() at Microsoft.AnalysisServices.AdomdClient.XmlaClient.ExecuteStatement(String statement, IDictionary connectionProperties, IDictionary commandProperties, IDataParameterCollection parameters, Boolean isMdx) at Microsoft.AnalysisServices.AdomdClient.AdomdConnection.XmlaClientProvider.Microsoft.AnalysisServices.AdomdClient.IExecuteProvider.ExecuteTabular(CommandBehavior behavior, ICommandContentProvider contentProvider, AdomdPropertyCollection commandProperties, IDataParameterCollection parameters) at Microsoft.AnalysisServices.AdomdClient.AdomdCommand.ExecuteReader(CommandBehavior behavior) at Microsoft.AnalysisServices.AdomdClient.AdomdCommand.System.Data.IDbCommand.ExecuteReader(CommandBehavior behavior) at Microsoft.ReportingServices.DataExtensions.AdoMdCommand.ExecuteReader(CommandBehavior behavior) at Microsoft.ReportingServices.OnDemandProcessing.RuntimeDataSet.RunDataSetQuery() Can anyone shed light on this issue?

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  • SSRS2008R2 report times out, but the underlying query executes in the Management Studio

    - by Matthew Belk
    A customer of mine recently moved servers and the new server has SQL2008R2. His old server was SQL2005. The new server has substantially better CPU, RAM, and disk performance than the old, but several reports time out while executing. When I run the underlying query in the SQL Management Studio, the query executes in sub-second time. The exact error message returned via the Report Manager UI is: An error occurred within the report server database. This may be due to a connection failure, timeout or low disk condition within the database. (rsReportServerDatabaseError) Timeout expired. The timeout period elapsed prior to completion of the operation or the server is not responding. It must be noted that this database is not just analytical; it's also fairly transactional, although the transaction volume is not exceptionally high. What can I do to improve the performance of the SSRS query engine? Are there settings in the data source I can adjust, or in the SSRS config files?

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  • Mysql Query - That Is Returning Blatanty Incorrect Result

    - by user866190
    I am building a VPS node that is running Ubuntu 10.10LTS, Apache2, Mysql 5.1 and php5. I could not log in to my website admin through the browser, even though I am using the correct login details. So I logged in from the command line to check the results. When I run this query I get expected results: mysql> select * from users; +----+----------+-----------------------+----------+ | id | username | email | password | +----+----------+-----------------------+----------+ | 1 | myUserName | [email protected] | myPassword | +----+----------+-----------------------+----------+ And the same goes for this query: mysql> select * from users where id = 1; +----+----------+-----------------------+----------+ | id | username | email | password | +----+----------+-----------------------+----------+ | 1 | myUserName | [email protected] | myPassword | +----+----------+-----------------------+----------+ 1 row in set (0.00 sec) But when I run this query I get this 'unexpected response': mysql> select * from users where username = 'myUserName' and password = 'myPassword'; Empty set (0.00 sec) I am not sure why this is happening. Any help would be greatly appreciated. BTW.. I will be encrypting the user details but for now I just want to get it set up. Please help, Thanks

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  • Automating Access 2007 Queries (changing one criteria)

    - by Graphth
    So, I have 6 queries and I want to run them all once at the end of each month. (I know a bit about SQL but they're simply built using Access's design view). So, in the next few days, perhaps I'll run the 6 queries for May, as May just ended. I only want the data from the month that just ended, so the query has Criteria set as the name of the month (e.g., May). Now, it's not hugely time consuming to change all of these each month, but is there some way to automate this? Currently, they're all set to April and I want to change them all to May when I run them in a few days. And each month, I'd like to type the month (perhaps in a textbox in a form or somewhere else if you know a better way) just once and have it change all 6 queries, without having to manually open all 6, scroll over to the right field and change the Criteria. Note (about VBA): I have used Excel VBA so I know the basics of VBA but I don't really know anything specific to Access (other than seeing code a few times). And, others will use this who do not know anything about Access VBA. So, I think I have found a similar question/answer that could do this in VBA, but I'd rather do it some other way. If the query needs to be slightly redesigned later, probably by someone who doesn't know Access VBA at all, it'd be nice to have a solution not involving VBA if that is even possible.

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  • Taming Hopping Windows

    - by Roman Schindlauer
    At first glance, hopping windows seem fairly innocuous and obvious. They organize events into windows with a simple periodic definition: the windows have some duration d (e.g. a window covers 5 second time intervals), an interval or period p (e.g. a new window starts every 2 seconds) and an alignment a (e.g. one of those windows starts at 12:00 PM on March 15, 2012 UTC). var wins = xs     .HoppingWindow(TimeSpan.FromSeconds(5),                    TimeSpan.FromSeconds(2),                    new DateTime(2012, 3, 15, 12, 0, 0, DateTimeKind.Utc)); Logically, there is a window with start time a + np and end time a + np + d for every integer n. That’s a lot of windows. So why doesn’t the following query (always) blow up? var query = wins.Select(win => win.Count()); A few users have asked why StreamInsight doesn’t produce output for empty windows. Primarily it’s because there is an infinite number of empty windows! (Actually, StreamInsight uses DateTimeOffset.MaxValue to approximate “the end of time” and DateTimeOffset.MinValue to approximate “the beginning of time”, so the number of windows is lower in practice.) That was the good news. Now the bad news. Events also have duration. Consider the following simple input: var xs = this.Application                 .DefineEnumerable(() => new[]                     { EdgeEvent.CreateStart(DateTimeOffset.UtcNow, 0) })                 .ToStreamable(AdvanceTimeSettings.IncreasingStartTime); Because the event has no explicit end edge, it lasts until the end of time. So there are lots of non-empty windows if we apply a hopping window to that single event! For this reason, we need to be careful with hopping window queries in StreamInsight. Or we can switch to a custom implementation of hopping windows that doesn’t suffer from this shortcoming. The alternate window implementation produces output only when the input changes. We start by breaking up the timeline into non-overlapping intervals assigned to each window. In figure 1, six hopping windows (“Windows”) are assigned to six intervals (“Assignments”) in the timeline. Next we take input events (“Events”) and alter their lifetimes (“Altered Events”) so that they cover the intervals of the windows they intersect. In figure 1, you can see that the first event e1 intersects windows w1 and w2 so it is adjusted to cover assignments a1 and a2. Finally, we can use snapshot windows (“Snapshots”) to produce output for the hopping windows. Notice however that instead of having six windows generating output, we have only four. The first and second snapshots correspond to the first and second hopping windows. The remaining snapshots however cover two hopping windows each! While in this example we saved only two events, the savings can be more significant when the ratio of event duration to window duration is higher. Figure 1: Timeline The implementation of this strategy is straightforward. We need to set the start times of events to the start time of the interval assigned to the earliest window including the start time. Similarly, we need to modify the end times of events to the end time of the interval assigned to the latest window including the end time. The following snap-to-boundary function that rounds a timestamp value t down to the nearest value t' <= t such that t' is a + np for some integer n will be useful. For convenience, we will represent both DateTime and TimeSpan values using long ticks: static long SnapToBoundary(long t, long a, long p) {     return t - ((t - a) % p) - (t > a ? 0L : p); } How do we find the earliest window including the start time for an event? It’s the window following the last window that does not include the start time assuming that there are no gaps in the windows (i.e. duration < interval), and limitation of this solution. To find the end time of that antecedent window, we need to know the alignment of window ends: long e = a + (d % p); Using the window end alignment, we are finally ready to describe the start time selector: static long AdjustStartTime(long t, long e, long p) {     return SnapToBoundary(t, e, p) + p; } To find the latest window including the end time for an event, we look for the last window start time (non-inclusive): public static long AdjustEndTime(long t, long a, long d, long p) {     return SnapToBoundary(t - 1, a, p) + p + d; } Bringing it together, we can define the translation from events to ‘altered events’ as in Figure 1: public static IQStreamable<T> SnapToWindowIntervals<T>(IQStreamable<T> source, TimeSpan duration, TimeSpan interval, DateTime alignment) {     if (source == null) throw new ArgumentNullException("source");     // reason about DateTime and TimeSpan in ticks     long d = Math.Min(DateTime.MaxValue.Ticks, duration.Ticks);     long p = Math.Min(DateTime.MaxValue.Ticks, Math.Abs(interval.Ticks));     // set alignment to earliest possible window     var a = alignment.ToUniversalTime().Ticks % p;     // verify constraints of this solution     if (d <= 0L) { throw new ArgumentOutOfRangeException("duration"); }     if (p == 0L || p > d) { throw new ArgumentOutOfRangeException("interval"); }     // find the alignment of window ends     long e = a + (d % p);     return source.AlterEventLifetime(         evt => ToDateTime(AdjustStartTime(evt.StartTime.ToUniversalTime().Ticks, e, p)),         evt => ToDateTime(AdjustEndTime(evt.EndTime.ToUniversalTime().Ticks, a, d, p)) -             ToDateTime(AdjustStartTime(evt.StartTime.ToUniversalTime().Ticks, e, p))); } public static DateTime ToDateTime(long ticks) {     // just snap to min or max value rather than under/overflowing     return ticks < DateTime.MinValue.Ticks         ? new DateTime(DateTime.MinValue.Ticks, DateTimeKind.Utc)         : ticks > DateTime.MaxValue.Ticks         ? new DateTime(DateTime.MaxValue.Ticks, DateTimeKind.Utc)         : new DateTime(ticks, DateTimeKind.Utc); } Finally, we can describe our custom hopping window operator: public static IQWindowedStreamable<T> HoppingWindow2<T>(     IQStreamable<T> source,     TimeSpan duration,     TimeSpan interval,     DateTime alignment) {     if (source == null) { throw new ArgumentNullException("source"); }     return SnapToWindowIntervals(source, duration, interval, alignment).SnapshotWindow(); } By switching from HoppingWindow to HoppingWindow2 in the following example, the query returns quickly rather than gobbling resources and ultimately failing! public void Main() {     var start = new DateTimeOffset(new DateTime(2012, 6, 28), TimeSpan.Zero);     var duration = TimeSpan.FromSeconds(5);     var interval = TimeSpan.FromSeconds(2);     var alignment = new DateTime(2012, 3, 15, 12, 0, 0, DateTimeKind.Utc);     var events = this.Application.DefineEnumerable(() => new[]     {         EdgeEvent.CreateStart(start.AddSeconds(0), "e0"),         EdgeEvent.CreateStart(start.AddSeconds(1), "e1"),         EdgeEvent.CreateEnd(start.AddSeconds(1), start.AddSeconds(2), "e1"),         EdgeEvent.CreateStart(start.AddSeconds(3), "e2"),         EdgeEvent.CreateStart(start.AddSeconds(9), "e3"),         EdgeEvent.CreateEnd(start.AddSeconds(3), start.AddSeconds(10), "e2"),         EdgeEvent.CreateEnd(start.AddSeconds(9), start.AddSeconds(10), "e3"),     }).ToStreamable(AdvanceTimeSettings.IncreasingStartTime);     var adjustedEvents = SnapToWindowIntervals(events, duration, interval, alignment);     var query = from win in HoppingWindow2(events, duration, interval, alignment)                 select win.Count();     DisplayResults(adjustedEvents, "Adjusted Events");     DisplayResults(query, "Query"); } As you can see, instead of producing a massive number of windows for the open start edge e0, a single window is emitted from 12:00:15 AM until the end of time: Adjusted Events StartTime EndTime Payload 6/28/2012 12:00:01 AM 12/31/9999 11:59:59 PM e0 6/28/2012 12:00:03 AM 6/28/2012 12:00:07 AM e1 6/28/2012 12:00:05 AM 6/28/2012 12:00:15 AM e2 6/28/2012 12:00:11 AM 6/28/2012 12:00:15 AM e3 Query StartTime EndTime Payload 6/28/2012 12:00:01 AM 6/28/2012 12:00:03 AM 1 6/28/2012 12:00:03 AM 6/28/2012 12:00:05 AM 2 6/28/2012 12:00:05 AM 6/28/2012 12:00:07 AM 3 6/28/2012 12:00:07 AM 6/28/2012 12:00:11 AM 2 6/28/2012 12:00:11 AM 6/28/2012 12:00:15 AM 3 6/28/2012 12:00:15 AM 12/31/9999 11:59:59 PM 1 Regards, The StreamInsight Team

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  • Taming Hopping Windows

    - by Roman Schindlauer
    At first glance, hopping windows seem fairly innocuous and obvious. They organize events into windows with a simple periodic definition: the windows have some duration d (e.g. a window covers 5 second time intervals), an interval or period p (e.g. a new window starts every 2 seconds) and an alignment a (e.g. one of those windows starts at 12:00 PM on March 15, 2012 UTC). var wins = xs     .HoppingWindow(TimeSpan.FromSeconds(5),                    TimeSpan.FromSeconds(2),                    new DateTime(2012, 3, 15, 12, 0, 0, DateTimeKind.Utc)); Logically, there is a window with start time a + np and end time a + np + d for every integer n. That’s a lot of windows. So why doesn’t the following query (always) blow up? var query = wins.Select(win => win.Count()); A few users have asked why StreamInsight doesn’t produce output for empty windows. Primarily it’s because there is an infinite number of empty windows! (Actually, StreamInsight uses DateTimeOffset.MaxValue to approximate “the end of time” and DateTimeOffset.MinValue to approximate “the beginning of time”, so the number of windows is lower in practice.) That was the good news. Now the bad news. Events also have duration. Consider the following simple input: var xs = this.Application                 .DefineEnumerable(() => new[]                     { EdgeEvent.CreateStart(DateTimeOffset.UtcNow, 0) })                 .ToStreamable(AdvanceTimeSettings.IncreasingStartTime); Because the event has no explicit end edge, it lasts until the end of time. So there are lots of non-empty windows if we apply a hopping window to that single event! For this reason, we need to be careful with hopping window queries in StreamInsight. Or we can switch to a custom implementation of hopping windows that doesn’t suffer from this shortcoming. The alternate window implementation produces output only when the input changes. We start by breaking up the timeline into non-overlapping intervals assigned to each window. In figure 1, six hopping windows (“Windows”) are assigned to six intervals (“Assignments”) in the timeline. Next we take input events (“Events”) and alter their lifetimes (“Altered Events”) so that they cover the intervals of the windows they intersect. In figure 1, you can see that the first event e1 intersects windows w1 and w2 so it is adjusted to cover assignments a1 and a2. Finally, we can use snapshot windows (“Snapshots”) to produce output for the hopping windows. Notice however that instead of having six windows generating output, we have only four. The first and second snapshots correspond to the first and second hopping windows. The remaining snapshots however cover two hopping windows each! While in this example we saved only two events, the savings can be more significant when the ratio of event duration to window duration is higher. Figure 1: Timeline The implementation of this strategy is straightforward. We need to set the start times of events to the start time of the interval assigned to the earliest window including the start time. Similarly, we need to modify the end times of events to the end time of the interval assigned to the latest window including the end time. The following snap-to-boundary function that rounds a timestamp value t down to the nearest value t' <= t such that t' is a + np for some integer n will be useful. For convenience, we will represent both DateTime and TimeSpan values using long ticks: static long SnapToBoundary(long t, long a, long p) {     return t - ((t - a) % p) - (t > a ? 0L : p); } How do we find the earliest window including the start time for an event? It’s the window following the last window that does not include the start time assuming that there are no gaps in the windows (i.e. duration < interval), and limitation of this solution. To find the end time of that antecedent window, we need to know the alignment of window ends: long e = a + (d % p); Using the window end alignment, we are finally ready to describe the start time selector: static long AdjustStartTime(long t, long e, long p) {     return SnapToBoundary(t, e, p) + p; } To find the latest window including the end time for an event, we look for the last window start time (non-inclusive): public static long AdjustEndTime(long t, long a, long d, long p) {     return SnapToBoundary(t - 1, a, p) + p + d; } Bringing it together, we can define the translation from events to ‘altered events’ as in Figure 1: public static IQStreamable<T> SnapToWindowIntervals<T>(IQStreamable<T> source, TimeSpan duration, TimeSpan interval, DateTime alignment) {     if (source == null) throw new ArgumentNullException("source");     // reason about DateTime and TimeSpan in ticks     long d = Math.Min(DateTime.MaxValue.Ticks, duration.Ticks);     long p = Math.Min(DateTime.MaxValue.Ticks, Math.Abs(interval.Ticks));     // set alignment to earliest possible window     var a = alignment.ToUniversalTime().Ticks % p;     // verify constraints of this solution     if (d <= 0L) { throw new ArgumentOutOfRangeException("duration"); }     if (p == 0L || p > d) { throw new ArgumentOutOfRangeException("interval"); }     // find the alignment of window ends     long e = a + (d % p);     return source.AlterEventLifetime(         evt => ToDateTime(AdjustStartTime(evt.StartTime.ToUniversalTime().Ticks, e, p)),         evt => ToDateTime(AdjustEndTime(evt.EndTime.ToUniversalTime().Ticks, a, d, p)) -             ToDateTime(AdjustStartTime(evt.StartTime.ToUniversalTime().Ticks, e, p))); } public static DateTime ToDateTime(long ticks) {     // just snap to min or max value rather than under/overflowing     return ticks < DateTime.MinValue.Ticks         ? new DateTime(DateTime.MinValue.Ticks, DateTimeKind.Utc)         : ticks > DateTime.MaxValue.Ticks         ? new DateTime(DateTime.MaxValue.Ticks, DateTimeKind.Utc)         : new DateTime(ticks, DateTimeKind.Utc); } Finally, we can describe our custom hopping window operator: public static IQWindowedStreamable<T> HoppingWindow2<T>(     IQStreamable<T> source,     TimeSpan duration,     TimeSpan interval,     DateTime alignment) {     if (source == null) { throw new ArgumentNullException("source"); }     return SnapToWindowIntervals(source, duration, interval, alignment).SnapshotWindow(); } By switching from HoppingWindow to HoppingWindow2 in the following example, the query returns quickly rather than gobbling resources and ultimately failing! public void Main() {     var start = new DateTimeOffset(new DateTime(2012, 6, 28), TimeSpan.Zero);     var duration = TimeSpan.FromSeconds(5);     var interval = TimeSpan.FromSeconds(2);     var alignment = new DateTime(2012, 3, 15, 12, 0, 0, DateTimeKind.Utc);     var events = this.Application.DefineEnumerable(() => new[]     {         EdgeEvent.CreateStart(start.AddSeconds(0), "e0"),         EdgeEvent.CreateStart(start.AddSeconds(1), "e1"),         EdgeEvent.CreateEnd(start.AddSeconds(1), start.AddSeconds(2), "e1"),         EdgeEvent.CreateStart(start.AddSeconds(3), "e2"),         EdgeEvent.CreateStart(start.AddSeconds(9), "e3"),         EdgeEvent.CreateEnd(start.AddSeconds(3), start.AddSeconds(10), "e2"),         EdgeEvent.CreateEnd(start.AddSeconds(9), start.AddSeconds(10), "e3"),     }).ToStreamable(AdvanceTimeSettings.IncreasingStartTime);     var adjustedEvents = SnapToWindowIntervals(events, duration, interval, alignment);     var query = from win in HoppingWindow2(events, duration, interval, alignment)                 select win.Count();     DisplayResults(adjustedEvents, "Adjusted Events");     DisplayResults(query, "Query"); } As you can see, instead of producing a massive number of windows for the open start edge e0, a single window is emitted from 12:00:15 AM until the end of time: Adjusted Events StartTime EndTime Payload 6/28/2012 12:00:01 AM 12/31/9999 11:59:59 PM e0 6/28/2012 12:00:03 AM 6/28/2012 12:00:07 AM e1 6/28/2012 12:00:05 AM 6/28/2012 12:00:15 AM e2 6/28/2012 12:00:11 AM 6/28/2012 12:00:15 AM e3 Query StartTime EndTime Payload 6/28/2012 12:00:01 AM 6/28/2012 12:00:03 AM 1 6/28/2012 12:00:03 AM 6/28/2012 12:00:05 AM 2 6/28/2012 12:00:05 AM 6/28/2012 12:00:07 AM 3 6/28/2012 12:00:07 AM 6/28/2012 12:00:11 AM 2 6/28/2012 12:00:11 AM 6/28/2012 12:00:15 AM 3 6/28/2012 12:00:15 AM 12/31/9999 11:59:59 PM 1 Regards, The StreamInsight Team

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  • Can this django query be improved?

    - by Hobhouse
    Given a model structure like this: class Book(models.Model): user = models.ForeignKey(User) class Readingdate(models.Model): book = models.ForeignKey(Book) date = models.DateField() One book may have several readingdates. How do I list books having at least one readingdate within a specific year? I can do this: from_date = datetime.date(2010,1,1) to_date = datetime.date(2010,12,31) book_ids = Readingdate.objects\ .filter(date__range=(from_date,to_date))\ .values_list('book_id', flat=True) books_read_2010 = Book.objects.filter(id__in=book_ids) Is it possible to do this with one queryset, or is this the best way?

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  • Helper methods StartOfMonth and StartOfNextMonth

    - by Michael Freidgeim
    There are couple methods recently added to My DateTimeHelper class     public static DateTime StartOfMonth(this DateTime dateValue)         {             return new DateTime(dateValue.Year,dateValue.Month,1,0,0,0);         }         public static DateTime StartOfNextMonth(this DateTime dateValue)         {             return StartOfMonth(dateValue).AddMonths(1);         }

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  • Hibernate Query Exception

    - by dharga
    I've got a hibernate query I'm trying to get working but keep getting an exception with a not so helpful stack trace. I'm including the code, the stack trace, and hibernate chatter before the exception is thrown. If you need me to include the entity classes for MessageTarget and GrpExclusion let me know in comments and I'll add them. public List<MessageTarget> findMessageTargets(int age, String gender, String businessCode, String groupId, String systemCode) { Session session = getHibernateTemplate().getSessionFactory().openSession(); List<MessageTarget> results = new ArrayList<MessageTarget>(); try { String hSql = "from MessageTarget mt where " + "not exists (select GrpExclusion where grp_no = ?) and " + "(trgt_gndr_cd = 'A' or trgt_gndr_cd = ?) and " + "sys_src_cd = ? and " + "bampi_busn_sgmnt_cd = ? and " + "trgt_low_age <= ? and " + "trgt_high_age >= ? and " + "(effectiveDate is null or effectiveDate <= ?) and " + "(termDate is null or termDate >= ?)"; results = session.createQuery(hSql) .setParameter(0, groupId) .setParameter(1, gender) .setParameter(2, systemCode) .setParameter(3, businessCode) .setParameter(4, age) .setParameter(5, age) .setParameter(6, new Date()) .setParameter(7, new Date()) .list(); } catch (Exception e) { System.err.println(e.getMessage()); e.printStackTrace(); } finally { session.close(); } return results; } Here's the stacktrace. [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R java.lang.NullPointerException [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.ast.util.SessionFactoryHelper.findSQLFunction(SessionFactoryHelper.java:365) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.ast.tree.IdentNode.getDataType(IdentNode.java:289) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.ast.tree.SelectClause.initializeExplicitSelectClause(SelectClause.java:165) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.ast.HqlSqlWalker.useSelectClause(HqlSqlWalker.java:831) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.ast.HqlSqlWalker.processQuery(HqlSqlWalker.java:619) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.query(HqlSqlBaseWalker.java:672) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.collectionFunctionOrSubselect(HqlSqlBaseWalker.java:4465) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.comparisonExpr(HqlSqlBaseWalker.java:4165) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.logicalExpr(HqlSqlBaseWalker.java:1864) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.logicalExpr(HqlSqlBaseWalker.java:1839) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.logicalExpr(HqlSqlBaseWalker.java:1789) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.logicalExpr(HqlSqlBaseWalker.java:1789) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.logicalExpr(HqlSqlBaseWalker.java:1789) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.logicalExpr(HqlSqlBaseWalker.java:1789) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.logicalExpr(HqlSqlBaseWalker.java:1789) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.logicalExpr(HqlSqlBaseWalker.java:1789) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.logicalExpr(HqlSqlBaseWalker.java:1789) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.whereClause(HqlSqlBaseWalker.java:818) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.query(HqlSqlBaseWalker.java:604) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.selectStatement(HqlSqlBaseWalker.java:288) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.antlr.HqlSqlBaseWalker.statement(HqlSqlBaseWalker.java:231) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.ast.QueryTranslatorImpl.analyze(QueryTranslatorImpl.java:254) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.ast.QueryTranslatorImpl.doCompile(QueryTranslatorImpl.java:185) [5/6/10 15:05:21:041 EDT] 00000017 SystemErr R at org.hibernate.hql.ast.QueryTranslatorImpl.compile(QueryTranslatorImpl.java:136) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at org.hibernate.engine.query.HQLQueryPlan.<init>(HQLQueryPlan.java:101) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at org.hibernate.engine.query.HQLQueryPlan.<init>(HQLQueryPlan.java:80) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at org.hibernate.engine.query.QueryPlanCache.getHQLQueryPlan(QueryPlanCache.java:94) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at org.hibernate.impl.AbstractSessionImpl.getHQLQueryPlan(AbstractSessionImpl.java:156) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at org.hibernate.impl.AbstractSessionImpl.createQuery(AbstractSessionImpl.java:135) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at org.hibernate.impl.SessionImpl.createQuery(SessionImpl.java:1651) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.bcbst.bamp.ws.dao.MessageTargetDAOImpl.findMessageTargets(MessageTargetDAOImpl.java:30) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.bcbst.bamp.ws.common.AlertReminder.findMessageTargets(AlertReminder.java:22) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:37) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at java.lang.reflect.Method.invoke(Method.java:599) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at org.apache.axis2.jaxws.server.dispatcher.JavaDispatcher.invokeTargetOperation(JavaDispatcher.java:81) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at org.apache.axis2.jaxws.server.dispatcher.JavaBeanDispatcher.invoke(JavaBeanDispatcher.java:98) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at org.apache.axis2.jaxws.server.EndpointController.invoke(EndpointController.java:109) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at org.apache.axis2.jaxws.server.JAXWSMessageReceiver.receive(JAXWSMessageReceiver.java:159) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at org.apache.axis2.engine.AxisEngine.receive(AxisEngine.java:188) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at org.apache.axis2.transport.http.HTTPTransportUtils.processHTTPPostRequest(HTTPTransportUtils.java:275) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.websvcs.transport.http.WASAxis2Servlet.doPost(WASAxis2Servlet.java:1389) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at javax.servlet.http.HttpServlet.service(HttpServlet.java:738) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at javax.servlet.http.HttpServlet.service(HttpServlet.java:831) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.webcontainer.servlet.ServletWrapper.service(ServletWrapper.java:1536) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.webcontainer.servlet.ServletWrapper.handleRequest(ServletWrapper.java:829) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.webcontainer.servlet.ServletWrapper.handleRequest(ServletWrapper.java:458) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.webcontainer.servlet.ServletWrapperImpl.handleRequest(ServletWrapperImpl.java:175) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.webcontainer.webapp.WebApp.handleRequest(WebApp.java:3742) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.webcontainer.webapp.WebGroup.handleRequest(WebGroup.java:276) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.webcontainer.WebContainer.handleRequest(WebContainer.java:929) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.webcontainer.WSWebContainer.handleRequest(WSWebContainer.java:1583) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.webcontainer.channel.WCChannelLink.ready(WCChannelLink.java:178) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.http.channel.inbound.impl.HttpInboundLink.handleDiscrimination(HttpInboundLink.java:455) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.http.channel.inbound.impl.HttpInboundLink.handleNewInformation(HttpInboundLink.java:384) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.http.channel.inbound.impl.HttpInboundLink.ready(HttpInboundLink.java:272) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.tcp.channel.impl.NewConnectionInitialReadCallback.sendToDiscriminators(NewConnectionInitialReadCallback.java:214) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.tcp.channel.impl.NewConnectionInitialReadCallback.complete(NewConnectionInitialReadCallback.java:113) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.tcp.channel.impl.AioReadCompletionListener.futureCompleted(AioReadCompletionListener.java:165) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.io.async.AbstractAsyncFuture.invokeCallback(AbstractAsyncFuture.java:217) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.io.async.AsyncChannelFuture.fireCompletionActions(AsyncChannelFuture.java:161) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.io.async.AsyncFuture.completed(AsyncFuture.java:138) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.io.async.ResultHandler.complete(ResultHandler.java:204) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.io.async.ResultHandler.runEventProcessingLoop(ResultHandler.java:775) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.io.async.ResultHandler$2.run(ResultHandler.java:905) [5/6/10 15:05:21:057 EDT] 00000017 SystemErr R at com.ibm.ws.util.ThreadPool$Worker.run(ThreadPool.java:1550) Here's the hibernate chatter. [5/6/10 15:05:20:651 EDT] 00000017 XmlBeanDefini I org.springframework.beans.factory.xml.XmlBeanDefinitionReader loadBeanDefinitions Loading XML bean definitions from class path resource [beans.xml] [5/6/10 15:05:20:823 EDT] 00000017 Configuration I org.slf4j.impl.JCLLoggerAdapter info configuring from url: file:/C:/workspaces/bampi/AlertReminderWS/WebContent/WEB-INF/classes/hibernate.cfg.xml [5/6/10 15:05:20:838 EDT] 00000017 Configuration I org.slf4j.impl.JCLLoggerAdapter info Configured SessionFactory: java:hibernate/Alert/SessionFactory1.0.3 [5/6/10 15:05:20:838 EDT] 00000017 AnnotationBin I org.hibernate.cfg.AnnotationBinder bindClass Binding entity from annotated class: com.bcbst.bamp.ws.model.MessageTarget [5/6/10 15:05:20:838 EDT] 00000017 EntityBinder I org.hibernate.cfg.annotations.EntityBinder bindTable Bind entity com.bcbst.bamp.ws.model.MessageTarget on table MessageTarget [5/6/10 15:05:20:854 EDT] 00000017 AnnotationBin I org.hibernate.cfg.AnnotationBinder bindClass Binding entity from annotated class: com.bcbst.bamp.ws.model.GrpExclusion [5/6/10 15:05:20:854 EDT] 00000017 EntityBinder I org.hibernate.cfg.annotations.EntityBinder bindTable Bind entity com.bcbst.bamp.ws.model.GrpExclusion on table GrpExclusion [5/6/10 15:05:20:854 EDT] 00000017 CollectionBin I org.hibernate.cfg.annotations.CollectionBinder bindOneToManySecondPass Mapping collection: com.bcbst.bamp.ws.model.MessageTarget.exclusions -> GrpExclusion [5/6/10 15:05:20:885 EDT] 00000017 AnnotationSes I org.springframework.orm.hibernate3.LocalSessionFactoryBean buildSessionFactory Building new Hibernate SessionFactory [5/6/10 15:05:20:901 EDT] 00000017 ConnectionPro I org.slf4j.impl.JCLLoggerAdapter info Initializing connection provider: org.springframework.orm.hibernate3.LocalDataSourceConnectionProvider [5/6/10 15:05:20:901 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info RDBMS: Microsoft SQL Server, version: 9.00.4035 [5/6/10 15:05:20:901 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info JDBC driver: Microsoft SQL Server 2005 JDBC Driver, version: 1.2.2828.100 [5/6/10 15:05:20:901 EDT] 00000017 Dialect I org.slf4j.impl.JCLLoggerAdapter info Using dialect: org.hibernate.dialect.SQLServerDialect [5/6/10 15:05:20:916 EDT] 00000017 TransactionFa I org.slf4j.impl.JCLLoggerAdapter info Transaction strategy: org.springframework.orm.hibernate3.SpringTransactionFactory [5/6/10 15:05:20:916 EDT] 00000017 TransactionMa I org.slf4j.impl.JCLLoggerAdapter info No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) [5/6/10 15:05:20:916 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Automatic flush during beforeCompletion(): disabled [5/6/10 15:05:20:916 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Automatic session close at end of transaction: disabled [5/6/10 15:05:20:916 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Scrollable result sets: enabled [5/6/10 15:05:20:916 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info JDBC3 getGeneratedKeys(): enabled [5/6/10 15:05:20:916 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Connection release mode: auto [5/6/10 15:05:20:916 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Default batch fetch size: 1 [5/6/10 15:05:20:916 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Generate SQL with comments: disabled [5/6/10 15:05:20:916 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Order SQL updates by primary key: disabled [5/6/10 15:05:20:932 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Order SQL inserts for batching: disabled [5/6/10 15:05:20:932 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory [5/6/10 15:05:20:932 EDT] 00000017 ASTQueryTrans I org.slf4j.impl.JCLLoggerAdapter info Using ASTQueryTranslatorFactory [5/6/10 15:05:20:932 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Query language substitutions: {} [5/6/10 15:05:20:932 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info JPA-QL strict compliance: disabled [5/6/10 15:05:20:932 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Second-level cache: enabled [5/6/10 15:05:20:932 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Query cache: disabled [5/6/10 15:05:20:932 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Cache region factory : org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge [5/6/10 15:05:20:932 EDT] 00000017 RegionFactory I org.slf4j.impl.JCLLoggerAdapter info Cache provider: org.hibernate.cache.NoCacheProvider [5/6/10 15:05:20:948 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Optimize cache for minimal puts: disabled [5/6/10 15:05:20:948 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Structured second-level cache entries: disabled [5/6/10 15:05:20:948 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Statistics: disabled [5/6/10 15:05:20:948 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Deleted entity synthetic identifier rollback: disabled [5/6/10 15:05:20:948 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Default entity-mode: pojo [5/6/10 15:05:20:948 EDT] 00000017 SettingsFacto I org.slf4j.impl.JCLLoggerAdapter info Named query checking : enabled [5/6/10 15:05:20:979 EDT] 00000017 SessionFactor I org.slf4j.impl.JCLLoggerAdapter info building session factory [5/6/10 15:05:21:010 EDT] 00000017 SessionFactor I org.slf4j.impl.JCLLoggerAdapter info Factory name: java:hibernate/Alert/SessionFactory1.0.3 [5/6/10 15:05:21:010 EDT] 00000017 NamingHelper I org.slf4j.impl.JCLLoggerAdapter info JNDI InitialContext properties:{} [5/6/10 15:05:21:010 EDT] 00000017 NamingHelper I org.slf4j.impl.JCLLoggerAdapter info Creating subcontext: java:hibernate [5/6/10 15:05:21:010 EDT] 00000017 NamingHelper I org.slf4j.impl.JCLLoggerAdapter info Creating subcontext: Alert [5/6/10 15:05:21:010 EDT] 00000017 SessionFactor I org.slf4j.impl.JCLLoggerAdapter info Bound factory to JNDI name: java:hibernate/Alert/SessionFactory1.0.3 [5/6/10 15:05:21:026 EDT] 00000017 SessionFactor W org.slf4j.impl.JCLLoggerAdapter warn InitialContext did not implement EventContext [5/6/10 15:05:21:041 EDT] 00000017 PARSER E org.slf4j.impl.JCLLoggerAdapter error <AST>:0:0: unexpected end of subtree

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A stripped down version of the query that reproduces the problem is: SELECT * FROM po_shipment ps JOIN po_shipment_item psi USING (ship_id) JOIN po_alloc pa ON ps.ship_id = pa.ship_id AND pa.UID_items = psi.UID_items JOIN po_header ph ON pa.hdr_id = ph.hdr_id LEFT JOIN EVENT_TABLE ev0 ON ev0.TABLE_ID1 = ps.ship_id AND ev0.EVENT_TYPE = 'MAS0' LEFT JOIN EVENT_TABLE ev1 ON ev1.TABLE_ID1 = ps.ship_id AND ev1.EVENT_TYPE = 'MAS1' LEFT JOIN EVENT_TABLE ev2 ON ev2.TABLE_ID1 = ps.ship_id AND ev2.EVENT_TYPE = 'MAS2' LEFT JOIN EVENT_TABLE ev3 ON ev3.TABLE_ID1 = ps.ship_id AND ev3.EVENT_TYPE = 'MAS3' LEFT JOIN EVENT_TABLE ev4 ON ev4.TABLE_ID1 = ps.ship_id AND ev4.EVENT_TYPE = 'MAS4' LEFT JOIN EVENT_TABLE ev5 ON ev5.TABLE_ID1 = ps.ship_id AND ev5.EVENT_TYPE = 'MAS5' WHERE ps.eta >= '2010-03-22' GROUP BY ps.ship_id LIMIT 100; The EXPLAIN query plan for the first database (A) that returns in ~2 seconds is: +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+------------------------------+------+----------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+------------------------------+------+----------------------------------------------+ | 1 | SIMPLE | ps | range | PRIMARY,IX_ETA_DATE | IX_ETA_DATE | 4 | NULL | 174 | Using where; Using temporary; Using filesort | | 1 | SIMPLE | ev0 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_PROD.ps.ship_id,const | 1 | | | 1 | SIMPLE | ev1 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_PROD.ps.ship_id,const | 1 | | | 1 | SIMPLE | ev2 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_PROD.ps.ship_id,const | 1 | | | 1 | SIMPLE | ev3 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_PROD.ps.ship_id,const | 1 | | | 1 | SIMPLE | ev4 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_PROD.ps.ship_id,const | 1 | | | 1 | SIMPLE | ev5 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_PROD.ps.ship_id,const | 1 | | | 1 | SIMPLE | psi | ref | PRIMARY,IX_po_shipment_item_po_shipment1,FK_po_shipment_item_po_shipment1 | IX_po_shipment_item_po_shipment1 | 4 | UNIVIS_PROD.ps.ship_id | 1 | | | 1 | SIMPLE | pa | ref | IX_po_alloc_po_shipment_item2,IX_po_alloc_po_details_old,FK_po_alloc_po_shipment1,FK_po_alloc_po_shipment_item1,FK_po_alloc_po_header1 | FK_po_alloc_po_shipment1 | 4 | UNIVIS_PROD.psi.ship_id | 5 | Using where | | 1 | SIMPLE | ph | eq_ref | PRIMARY,IX_HDR_ID | PRIMARY | 4 | UNIVIS_PROD.pa.hdr_id | 1 | | +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+------------------------------+------+----------------------------------------------+ The EXPLAIN query plan for the second database (B) that returns in 600 seconds is: +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+--------------------------------+------+----------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+--------------------------------+------+----------------------------------------------+ | 1 | SIMPLE | ps | range | PRIMARY,IX_ETA_DATE | IX_ETA_DATE | 4 | NULL | 38 | Using where; Using temporary; Using filesort | | 1 | SIMPLE | psi | ref | PRIMARY,IX_po_shipment_item_po_shipment1,FK_po_shipment_item_po_shipment1 | IX_po_shipment_item_po_shipment1 | 4 | UNIVIS_DEV01.ps.ship_id | 1 | | | 1 | SIMPLE | ev0 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_DEV01.psi.ship_id,const | 1 | | | 1 | SIMPLE | ev1 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_DEV01.psi.ship_id,const | 1 | | | 1 | SIMPLE | ev2 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_DEV01.ps.ship_id,const | 1 | | | 1 | SIMPLE | ev3 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_DEV01.psi.ship_id,const | 1 | | | 1 | SIMPLE | ev4 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_DEV01.psi.ship_id,const | 1 | | | 1 | SIMPLE | ev5 | ref | IX_EVENT_ID_EVENT_TYPE | IX_EVENT_ID_EVENT_TYPE | 36 | UNIVIS_DEV01.ps.ship_id,const | 1 | | | 1 | SIMPLE | pa | ref | IX_po_alloc_po_shipment_item2,IX_po_alloc_po_details_old,FK_po_alloc_po_shipment1,FK_po_alloc_po_shipment_item1,FK_po_alloc_po_header1 | IX_po_alloc_po_shipment_item2 | 4 | UNIVIS_DEV01.ps.ship_id | 4 | Using where | | 1 | SIMPLE | ph | eq_ref | PRIMARY,IX_HDR_ID | PRIMARY | 4 | UNIVIS_DEV01.pa.hdr_id | 1 | | +----+-------------+-------+--------+----------------------------------------------------------------------------------------------------------------------------------------+----------------------------------+---------+--------------------------------+------+----------------------------------------------+ When database B is running I can look at the MySQL Administrator and the state remains at "Copying to tmp table" indefinitely. Database A also has this state but for only a second or so. There are no differences in the table structure, indexes, keys etc between these databases (I have done show create tables and diff'd them). The sizes of the tables are: database A: po_shipment 1776 po_shipment_item 1945 po_alloc 36298 po_header 71642 EVENT_TABLE 1608 database B: po_shipment 463 po_shipment_item 470 po_alloc 3291 po_header 56149 EVENT_TABLE 1089 Some points to note: Removing the WHERE clause makes the query return < 1 sec. Removing the GROUP BY makes the query return < 1 sec. Removing ev5, ev4, ev3 etc makes the query get faster for each one removed. Can anyone suggest how to resolve this issue? What have I missed? Many Thanks.

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  • Query Object Pattern (Design Pattern)

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    Hi Guys, I need to implement a Query Object Pattern in Java for my customizable search interface (of a webapp I'm writing). Does anybody know where I can get an example/tutorial of Query Object Pattern (Martin Fowler's QoP)? Thanks in Advance ADDITION How to add a Query Pattern to an existing DAO pattern?

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