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linq – Xml from c # to sql server

I have a problem that is when an xml inserts data into the database, I am saving my xml data in a variable in the system that runs a uSp through a dbml that sends the data, I have followed the philosophy of other colleagues and they saved the data with a table

StringBuilder objSbCommerceRegisterData = new StringBuilder();
            objSbCommerceRegisterData.Append("");
            objSbCommerceRegisterData.Append("");
            foreach (Contrato_CommerceRegister item1 in c_DataCustomer.ListCommerceRegister)
            {
                objSbCommerceRegisterData.Append("  ");
            }//fin foreach 
            objSbCommerceRegisterData.Append("");
            StringReader objSrCommerceRegisterData = new StringReader(objSbCommerceRegisterData.ToString());
            DataSet objDbCommerceRegisterData = new DataSet();
            objDbCommerceRegisterData.ReadXml(objSrCommerceRegisterData);

and that in the uSp make it a XElement.Parse(objDbCommerceRegisterData)
well the detail is that in that uSp I run another one that is the one that saves that specific xml in another table

ALTER PROC (common).(uSptJuridicPersonInsertNew)   
@IdPerson uniqueidentifier,
@ListCommerce XML,
@IdUser uniqueidentifier
DECLARE @IdCommerceRegister int = 1 
IF EXISTS(
SELECT Idperson 
FROM (common).(tCommerceRegister)
WHERE Idperson = @Idperson) 
    set @IdCommerceRegister = 2
INSERT INTO (common).(tCommerceRegister) 
(
 (IdCommerceRegister),
 (NameRegister) ,  
 (Idperson),
 (DateIncorporation),  
 (Number),
 (folio),
 (TakeRegister),  
 (AmountCapital),
 (iduser)
)

SELECT DISTINCT    
 @IdCommerceRegister,
 @IdPerson,
 NameRegister = tbl_Tmp_CommerceRegister.Item.value('@NameRegister', 'VARCHAR(50)') ,      
 DateIncorporation = tbl_Tmp_CommerceRegister.Item.value('@DateIncorporation', 'DATETIME'),                     
 Number = tbl_Tmp_CommerceRegister.Item.value('@Number', 'VARCHAR(50)') ,   
 folio = tbl_Tmp_CommerceRegister.Item.value('@folio', 'VARCHAR(50)') ,        
 TakeRegister = tbl_Tmp_CommerceRegister.Item.value('@TakeRegister', 'VARCHAR(5)') ,     
 AmountCapital = tbl_Tmp_CommerceRegister.Item.value('@AmountCapital','DECIMAL(18,2)') , 
 @IdUser 

  FROM    @ListCommerceRegister.nodes('NewDataSet/Table')AS          tbl_Tmp_CommerceRegister ( Item )    
  WHERE (
      tbl_Tmp_CommerceRegister.Item.value('@NameRegister', 'VARCHAR(50)')+    
      CONVERT(VARCHAR(10),tbl_Tmp_CommerceRegister.Item.value('@DateIncorporation', 'DATETIME'),103)+    
      tbl_Tmp_CommerceRegister.Item.value('@Number','VARCHAR(50)')+    
      tbl_Tmp_CommerceRegister.Item.value('@folio', 'VARCHAR(50)')+    
      tbl_Tmp_CommerceRegister.Item.value('@TakeRegister', 'VARCHAR(5)')+
      tbl_Tmp_CommerceRegister.Item.value('@AmountCapital', 'DECIMAL(18,2)')
      NOT IN (    
      SELECT     
          NameRegister+    
          CONVERT(VARCHAR(10),DateIncorporation,103)+    
          Number+    
          folio  +    
          TakeRegister+
          AmountCapital
      FROM (tCommerceRegister) WHERE IdPerson = @IdPerson       
    )
 );

This is my stored procedure and as you can see it uses temporary tables, what happens is that at the time of executing it, it does not save me the data, if you can help me I will be very grateful, it should be noted, I have reviewed and the xml if it is sent with data from the system, but if you have any ideas or any other suggestions, thank you.

Why does $ wpdb-> insert and $ wpdb-> update not work on the server but work on localhost?

I am working on a WordPress site, I started working in a local environment using the xampp server.

I used wpdb to do operations with the database in this way:

global $wpdb;   

$name = $wpdb->get_results("SELECT meta_value FROM wp_usermeta WHERE meta_key = 'first_name' AND user_id = ".$user." ");

    $wpdb->update( 
    'wp_usermeta', 
    array( 
        'meta_value' => $v1 
    ), 
    array( 'user_id' => $user, 'meta_key' => 'first_name'  ), 
    array( 
        '%s'
    ), 
    array( '%d', '%s') 


);

In local environments it works perfectly, but when I migrated the project to an Amazon instance, the Ubuntu server that uses nginx and all the operations that use $ wpdb do not work.

I can't update, I can't insert.

I do not know why.

Any clue?

Application Installer / MS SQL Server Express

We are developing a small application (ish) that collects and stores data. It is low performance, low volume, but it needs to be able to archive and retrieve data from (almost) arbitrarily in earlier times, hence the decision to store the data in an MS SQL Server Express database. For the user, the database is invisible. The configuration is:

  • Application: Visual Studio 10 (yes, 10) C #, .NET Framework 4.0
  • Database schema (tables, views, queries …)
  • MS SQL Server Express 2008 SP2
  • Installer generated by MS Visual Studio (not the Installshield), which …
    • install the application
    • install .NET 4.0 (if necessary)
    • install MS SQL Server Express 2008 SP2
    • make do not create the real database

At this point, we can create the database using MS SQL Management Studio or Visual Studio. But for the production deployment, the creation of the database. should be automated, either by the installer or by an application startup functionality: Starting from a new installation of Windows 7 or Windows 10 (the PC do not be available to us beforehand), run the installer and then start the application (for example, our service staff) should be sufficient. In addition, the application should not depend on which user is logged on to the PC.

Question: How do I do the database, err … Appear … on the destination PC?

Options that I have considered so far:

  1. Create the database, make the database files part of the installer, copy them to the correct SQL Server directory, I hope you recognize it (will it?)
  2. Same as above, but install the file in CommonAppDataFolder, attach it to SQL Server.
  3. Let the application prove the existence of the database and, if it does not already exist, run an SQL script (generated by SSMS, modified) to create the database (currently implemented).

What option would you recommend?

Cannot use eog (Cannot start server: Could not connect: Connection refused ()

I am a rookie in Ubuntu. The version I am using now is 18.04.
I'm trying to see some images with eog and getting the error below

`Cannot start server: could not connect: connection refused

(eog: 736): Gtk-WARNING **: 19: 38: 12.816: the screen cannot be opened :: 0`

When i tried to run xhost +si:localuser:root
I've this xhost: unable to open display ":0"

as well export DISPLAY=:1it didn't work

server: mobile application backend for Soundcloud as an application

We want to create a mobile application similar to soundcloud, we want to upload sounds through applications or backend management and the backend will automatically perform the audio conversion, we can also upload videos that will be converted to audios, etc.

I would like to know which back-end structures would be more preferable.

1- You can use PHP + mySQL simple, use some cron jobs, etc. to fix audios, too obsolete,

2- Using Amazon or Google databases, however, you are not sure which back-end languages ​​to use for better performance, Node? php? Python or any other

I would really like to get an idea from the older men.

sql server: get the full text of a long request

This may be due to the maximum number of characters that the result to the grid can return, 65535.

enter the description of the image here

You cannot change this to be higher than this number.

The text data type of sys.dm_exec_sql_text is nvarchar(max), there are no problems there.

You can convert the column to XML as an alternative solution

SELECT CAST(t.(text) AS XML)
FROM sys.dm_exec_requests AS r
CROSS APPLY sys.dm_exec_sql_text(r.sql_handle) AS t

Or a better method by Evgeniy Gribkov

SELECT t.(text) 
FROM sys.dm_exec_requests AS r 
CROSS APPLY sys.dm_exec_sql_text(r.sql_handle) AS t 
FOR XML RAW, ELEMENTS;

Better this way: SELECT t. (Text) FROM sys.dm_exec_requests AS CROSS
APPLY sys.dm_exec_sql_text (r.sql_handle) AS t FOR XML RAW, ELEMENTS;
Since the request text cannot always be converted to XML. In
in particular, you cannot convert the query text when it is called stored remotely
procedures: "XML analysis: line 13, character 129, illegally qualified
character name "

Or save the results in a file

enter the description of the image here

Amazon web services: secure storage of AWS access credentials on a local server

What is the best way to store AWS IAM access credentials on a physical / virtual server so that the services running on it can access it?

This is a problem that was solved a long time ago for EC2 instances through instance profiles, but I don't know what are the best practices for servers that are not EC2 (i.e. a rented box in a data center, a sitting RaspberryPi at home, etc.).

Note: I'm not talking about a development environment on a personal desktop or laptop computer here. There are multiple solutions for that scenario.

I would like to avoid, if possible, having a long-term passcode ID and secret password pairs sitting around the hard disk in clear text. Many tools and systems that require access to AWS services depend on access keys and key ID pairs in the configuration files or the use of standard environment variables.

One approach I am considering is to use the AWS System Manager agent (which is already installed in the box) to periodically extract the keys from the AWS secret administrator or the parameter store. The agent itself uses a custom IAM function when executing commands and invokes Automation workflows on the host, so you should be able to add additional IAM policies as necessary to access the AWS parameter store or other services.

Wondering if there are good practices to achieve this. I don't want to re-invent the wheel if it's a problem solved or if I can think of a complex and overcooked custom solution.

partitioning: SQL Server query analyzes more partitions than expected

Reasoning

When comparing the column of the unpartitioned table with the partitioned table, the sql server may not know DayOfMonth It will remain, even if all are 15.

As a result, I would not know what partitions to return to satisfy this filtering by joining the two tables.

A different example to give more information can be found here.


Tests

I was able to recreate your problem, for more questions, add as much information as possible.
This could be table definition, indexes, partition scheme, …

The DDL and DML is at the bottom.

When executing the query we can obtain the same result:

enter the description of the image here

62 partitions returned.

In search predicates, try to filter what you can, these are the two filters in CalendarId they don't have the + DayOfMonth-1.

enter the description of the image here

This translates into

WHERE ...
    AND (( dc.CalendarId < 20190701)
    OR (dc.CalendarId >= 20270601))
...

When you run the query with these filters, you will see the same number of rows returned when accessing the table in the query plan.

Only after obtaining this data, can you and will join the AccountInfo table in the ID& # 39; s and the DayOfMonth - 1

enter the description of the image here

enter the description of the image here

And to confirm when we change the query:

SELECT
    ai.Name
    ,SUM(dc.Component )
    ,SUM(dc.Value) Value
FROM 
    Warm.DailyCosts dc
    JOIN Warm.AccountInfo ai
        ON dc.AccountInfoId = ai.Id
WHERE
    ai.CorrelationId = '00000000-0000-0000-0000-000000000000'
    AND ((dc.CalendarId >= (20190601  - 1)
        AND dc.CalendarId < 20190701)
    OR (dc.CalendarId >= 20270601
        AND dc.CalendarId < (20270601  - 1)))
GROUP BY            Name

Yes delete the partitions:

a


Solution

I will assume that DayOfMonth just go up to 31 days.

If you know these limits, you can & # 39; encode them & # 39; so that the sql server knows which partitions to look for. After this, you can add additional filtering.

E.G.

WITH CTE
AS
(
SELECT
    ai.Name
    ,dc.Component 
    ,dc.Value 
    ,dc.CalendarId
    ,ai.DayOfMonth
FROM 
    Warm.DailyCosts dc
    JOIN Warm.AccountInfo ai
        ON dc.AccountInfoId = ai.Id
WHERE
    ai.CorrelationId = '00000000-0000-0000-0000-000000000000'
    AND ((dc.CalendarId >= (20190601 )
        AND dc.CalendarId < 20190701)
    OR (dc.CalendarId >= 20270601
        AND dc.CalendarId < (20270701)))

)

SELECT Name,Component,SUM(Value)
FROM CTE 
WHERE ((CalendarId >= (20190601 + DayOfMonth - 1)
        AND CalendarId < 20190701)
    OR (CalendarId >= 20270601
        AND CalendarId < (20270601 + DayOfMonth - 1)))

GROUP BY        
    Name
    ,Component

The sole purpose of the cte is to let the SQL server know that it can also filter dc.CalendarId >= dc.CalendarId >= (20190601 ) OR dc.CalendarId < (20270701)).

Side note: Adding a restriction does not work to enforce this.

This query gives us the result we want, with the correct separation of the partition:

enter the description of the image here

enter the description of the image here

Only access to partitions 19 and 21.


Test data

CREATE SCHEMA WARM
GO

CREATE TABLE Warm.DailyCosts(ID INT IDENTITY(1,1) NOT NULL,
                            Component int, 
                             Value int, 
                             CalendarId INT, 
                             AccountInfoId int
                             )


CREATE TABLE Warm.AccountInfo(Id INT IDENTITY(1,1) PRIMARY KEY NOT NULL,
                              Name VARCHAR(25),
                              CorrelationId uniqueidentifier,
                              DayOfMonth int
                              );
USE (master)
GO
ALTER DATABASE (test) ADD FILEGROUP (Partitionfg)
GO
USE (test)
GO
CREATE PARTITION FUNCTION (PF_CostDateByYearMonth)(int) AS RANGE RIGHT FOR VALUES (
    20180101,
    20180201,
    20180301,
    20180401,
    20180501,
    20180601,
    20180701,
    20180801,
    20180901,
    20181001,
    20181101,
    20181201,
    20190101,
    20190201,
    20190301,
    20190401,
    20190501,
    20190601,
    20190701,
    20270601,
    20270701,
    20270801,
    20270901,
    20271001,
    20271101,
    20271201,
    20280101,
    20280201,
    20280301,
    20280401,
    20280501,
    20280601,
    20280701,
    20280801,
    20280901,
    20281001,
    20281101,
    20281201,
    20290101,
    20290201,
    20290301,
    20290401,
    20290501,
    20290601,
    20290701,
    20290801,
    20290901,
    20291001,
    20291101,
    20291201,
    20300101,
    20300201,
    20300301,
    20300401,
    20300501,
    20300601,
    20300701,
    20300801,
    20300901,
    20301001,
    20301101,
    20301201)


CREATE PARTITION SCHEME (PS_CostDateByYearMonth)  
AS PARTITION (PF_CostDateByYearMonth)  
ALL TO ( (Partitionfg) );  

CREATE UNIQUE CLUSTERED INDEX ptci ON  Warm.DailyCosts(CalendarId,Id) ON (PS_CostDateByYearMonth)(CalendarId) ;
USE (master)
GO
ALTER DATABASE (test) ADD FILE ( NAME = N'TestPartition', FILENAME = N'D:DATATestPartition.ndf' , SIZE = 3072KB , FILEGROWTH = 65536KB ) TO FILEGROUP (Partitionfg)
GO
USE (test)
GO

INSERT INTO  Warm.DailyCosts(Component, 
                             Value, 
                             CalendarId, 
                             AccountInfoId 
                             )
SELECT TOP(1000000) --1M
        ROW_NUMBER() OVER(ORDER BY (SELECT NULL)),
        ROW_NUMBER() OVER(ORDER BY (SELECT NULL)),
        20180101 +  ROW_NUMBER() OVER(ORDER BY (SELECT NULL)) / 1000 % 1000 ,
        ROW_NUMBER() OVER(ORDER BY (SELECT NULL))
FROM master..spt_values spt1
CROSS APPLY master..spt_values spt2 
-- 2018
INSERT INTO  Warm.DailyCosts(Component, 
                             Value, 
                             CalendarId, 
                             AccountInfoId 
                             )
SELECT TOP(1000000) --1M
        ROW_NUMBER() OVER(ORDER BY (SELECT NULL)),
        ROW_NUMBER() OVER(ORDER BY (SELECT NULL)),
        20190101 +  ROW_NUMBER() OVER(ORDER BY (SELECT NULL)) / 1000 % 1000 ,
        ROW_NUMBER() OVER(ORDER BY (SELECT NULL))
FROM master..spt_values spt1
CROSS APPLY master..spt_values spt2 
-- 2019
INSERT INTO  Warm.DailyCosts(Component, 
                             Value, 
                             CalendarId, 
                             AccountInfoId 
                             )

SELECT TOP(1000000) --1M
        ROW_NUMBER() OVER(ORDER BY (SELECT NULL)),
        ROW_NUMBER() OVER(ORDER BY (SELECT NULL)),
        20280101 +  ROW_NUMBER() OVER(ORDER BY (SELECT NULL)) / 1000 % 1000 ,
        ROW_NUMBER() OVER(ORDER BY (SELECT NULL))
FROM master..spt_values spt1
CROSS APPLY master..spt_values spt2 
-- 2028

INSERT INTO Warm.AccountInfo(
                              Name ,
                              CorrelationId,
                              DayOfMonth 
                              )

SELECT TOP(3000000) --3M
        CAST(ROW_NUMBER() OVER(ORDER BY (SELECT NULL)) AS varchar(10)) + 'a',
       '00000000-0000-0000-0000-000000000000',
       15
FROM master..spt_values spt1
CROSS APPLY master..spt_values spt2 
CREATE NONCLUSTERED INDEX (IX_Component_Value_DailyCosts) ON Warm.DailyCosts
 (Component,Value) 
ON (PS_CostDateByYearMonth)(CalendarId);
GO

server – Apache: using% {DOCUMENT_ROOT} inside the section

My virtualhost configuration file sites-available/site.conf contains (some lines are omitted):


  
    # set options
  

This sets the options to my_website directory. I can do the same with a Define directive:


  Define website /var/www/html/my_website
  
    # set options
  

But if I try the same with an Apache server variable %{DOCUMENT_ROOT} The options are not set:


  DocumentRoot /var/www/html/my_website
  
    # set options
  

Because it is %{DOCUMENT_ROOT} Doesn't work in this case?

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