Assistance Required for Downloading SQL Server 2014 ESU Patch for Standalone Installation
Hi Microsoft Support Team, I am reaching out for assistance regarding an issue I am encountering while trying to download the SQL Server 2014 Extended Security Updates (ESU) patch for a standalone installation. Despite several attempts, I am unable to download the necessary patch from the Microsoft Update Catalog or any other available resources. Here are the details of the issue: Product: SQL Server 2014 Problem: Unable to download the ESU patch for standalone installation. Steps Taken: I have searched for the appropriate SQL Server 2014 ESU patch in the Microsoft Update Catalog, but I was unable to locate the correct patch for manual download. This patch is critical to maintain the security of our systems, and I would appreciate your assistance in either providing the download link or helping resolve this issue so I can successfully install the necessary security updates. Could you please guide me on the correct procedure or provide an alternative download method for the SQL Server 2014 ESU patch? If there are any eligibility requirements for accessing this patch, kindly let me know how to verify or fulfill those requirements. Thank you for your prompt attention to this matter. I look forward to your guidance and resolution.
Windows could not start the SQL server (SQLEXPRESS) service (macOS)
I have a common problem that I just cannot figure out after scrolling through posts expressing a similar issue. I am currently running a macOS using a virtual machine that has Windows 11. Due to what I understand are compatibility issues in the CPU architecture, I downloaded SQL Server 2019 Localdb. After downloading the engine, I noticed that SQL Server (SQLEXPRESS) is stopped in SQL Server Configuration Manager, but when I try to right click and start, I get the message shown in the pictures with an operating system error 3. initerrlog: Could not open error log file 'C:\Program Files\Microsoft SQL Server\MSSQL15.SQLEXPRESS\MSSQL\Log\'. Operating system error = 3(The system cannot find the path specified.). I checked the file paths again and they are all correct. Also, I noticed that the startup parameters were not listed so corrected this issue by going to the Registry Editor and added the strings manually. They were added successfully in the Configuration Manager, but when I go to start the service I get the same error message as above saying that my request failed (Event ID: 17058), but this time the issue is I get an Access Denied: initerrlog: Could not open error log file ‘c:\Program Files\Microsoft SQL Server\MSSQL15.SQLEXPRESS\MSSQL\Log\ERRORLOG’. Operating system error = 5(Access is denied). I went to folder security and granted full access to all the users, but that did not solve the problem. Any help would be much appreciated.
Cannot truncate logs full when transaction cannot rollback
Hello, I recently experienced the problem when my database has a full transaction log but I can't truncate it via SSMS. I had to pass commands manually in T-SQL, but since the log was full, a query in progress was killed and proceeded to a rollback. However, the rollback was blocked at 0% because the logs were full, and the log files were locked because a transaction was in progress… Is there any other way of getting out of this situation without restarting the instance? (I've tried a backup + log shrink, adding log files, changing the recovery model to Simple, etc. But nothing works)Dynamic Pivot in SQL Query without DECLARE
I have a custom/dynamic SQL to PIVOT column values. As number of Columns are not fixed it could increase or decrease we cannot have normal PIVOT . Instead we need to identify columns dynamically and prepare a dynamic SQL as well. COLUMN_NAME and COLUMN_VALUE needs to be PIVOTED number of rows in these 02 columns may increase decrease on each day run. Posting dummy data as main datacannot be posted. This query works great on database but since our Reporting Tool like Tableau etc. cannot support advance SQL like dynamic or DECLARE keywords Hence is there a way to do the same thing without DECLARE like getting Columns list (comma separated) in CTE with STRING_AGG or something Kindly help me writing PIVOT which pivots columns dynamically without DECLARE USE [DBOOO]; GO SET ANSI_NULLS ON; GO SET QUOTED_IDENTIFIER ON; GO CREATE TABLE [SA0067].[UNPIVOT] ( [RECORD_ID] int NULL, [METRIC_NAME] varchar(255) NULL, [NAME] varchar(255) NULL, [COLUMN_Name] nvarchar(4000) NULL, [COLUMN_VALUE] nvarchar(255) NULL) ) ; GO ----INSERT statement INSERT INTO [SA0067].[UNPIVOT] ([RECORD_ID],[METRIC_NAME],[NAME],[COLUMN_Name],[COLUMN_VALUE] ) VALUES (1,'ABC','AJ','ID',1); INSERT INTO [SA0067].[UNPIVOT] ([RECORD_ID],[METRIC_NAME],[NAME],[COLUMN_Name],[COLUMN_VALUE] ) VALUES (2,'ABC','AK','ID',6); INSERT INTO [SA0067].[UNPIVOT] ([RECORD_ID],[METRIC_NAME],[NAME],[COLUMN_Name],[COLUMN_VALUE] ) VALUES (3,'XYZ','RJ','ID',4); INSERT INTO [SA0067].[UNPIVOT] ([RECORD_ID],[METRIC_NAME],[NAME],[COLUMN_Name],[COLUMN_VALUE] ) VALUES (4,'XYZ','JK','ID',5); INSERT INTO [SA0067].[UNPIVOT] ([RECORD_ID],[METRIC_NAME],[NAME],[COLUMN_Name],[COLUMN_VALUE] ) VALUES (5,'XYZ','JJJ','ID',11); INSERT INTO [SA0067].[UNPIVOT] ([RECORD_ID],[METRIC_NAME],[NAME],[COLUMN_Name],[COLUMN_VALUE] ) VALUES (6,'REC','MJ','ID',42; INSERT INTO [SA0067].[UNPIVOT] ([RECORD_ID],[METRIC_NAME],[NAME],[COLUMN_Name],[COLUMN_VALUE] ) VALUES (7,'REC','SG','ID',33); --- DYNAMIC SQL thats needs to be re-written DECLARE @COLUMNNAMES NVARCHAR(MAX)='' DECLARE @SQL NVARCHAR(MAX)='' ;WITH COL_NM AS (SELECT DISTINCT '['+COLUMN_NAME+'],' AS CN FROM DBOOO.[SA0067].[UNPIVOT]) SELECT @COLUMNNAMES +=CN FROM COL_NM SET @COLUMNNAMES =LEFT(@COLUMNNAMES,LEN(@COLUMNNAMES)-1) SET @SQL ='SELECT * FROM ( SELECT RECORD_ID,METRIC_NAME,NAME,COLUMN_Name,COLUMN_Value FROm DBOOO.[SA0067].[UNPIVOT] ) t PIVOT ( MAX(COLUMN_Value) FOR COLUMN_Name IN ('+@COLUMNNAMES+') ) AS PT' EXECUTE sp_executesql @SQL
Need assistance on SQL server query
Hi All, I have a account table which has parent acct number, Customer name, Account number. the issue is 1 parent account number should have only one customer name even though account number is different like below 1 parent acc num // 2 customer name // 2 Accounts 1123456789 - NIKE - AAAAA1 1123456789 - NIKES -AAAAA2 but i need to update output like below for all parent account numbers which has different names, =>> write the query to update that the data for customer name remains the same 1 parent acc num // 1 customer name // 2 Accounts 1123456789 - NIKE - AAAAA1 1123456789 - NIKE -AAAAA2 Could you please assist me to write an update quey to update 1 parent account number has 1 customer name. Thanks in advance for your support. Regards, BhaskarSQL server compatible with macbook pro m3 max via Parallels VM?
I'm having problems in installing SQL server on my macbook pro m3 max via parallels virtual machine. But I have this downloaded together with the SQL server management studio on my macbook pro m1 via parallels virtual machine. I feel like I've wasted so much money buying the m3 max and I couldn't even install the SQL server and SQL server management studio. I hope someone can help me.
Logic APP connecting to AOAG Readonly
Hi Everyone, I have an Always on availability group with the secondary read-only server configured for read only intent. I noticed that there is no where in logic app where the readonly application intent can be configured as additional parameter. Am I missing something or it is just the way logic APP works. I have been able to connect ADF successfully. Please, can someone advise.SQL Server Config Manager Error "MMC could not create the snap-in"
Hi, I have seen this error elsewhere online. I have gone to mmc to enable the snap in and I still have had no fix. My computer is running Windows Server 2022, SQL Server Express 2022, and SSMS. I have reinstalled, repaired, and all of the other tricks. Help!Understanding the Differences Between SWITCHOFFSET and AT TIME ZONE in SQL Server
When working with date and time data in SQL Server, handling different time zones can be a critical aspect, especially for applications with a global user base. SQL Server provides two functions that can be used to handle time zone conversions: SWITCHOFFSET and AT TIME ZONE. Although they might seem similar at first glance, they have distinct differences in functionality and use cases. This article aims to elucidate these differences and help you decide which one to use based on your requirements. SWITCHOFFSET The SWITCHOFFSET function is used to change the time zone offset of a datetimeoffset value without changing the actual point in time that the value represents. Essentially, it shifts the time by the specified offset. Syntax SWITCHOFFSET (DATETIMEOFFSET, time_zone_offset) DATETIMEOFFSET: The date and time value with the time zone offset you want to change. time_zone_offset: The new time zone offset, in the format +HH:MM or -HH:MM. Example DECLARE @dt datetimeoffset = '2023-12-31 23:09:14.4600000 +01:00'; SELECT SWITCHOFFSET(@dt, '+00:00') AS UtcTime; In this example, SWITCHOFFSET converts the time to UTC by applying the +00:00 offset. AT TIME ZONE The AT TIME ZONE function is more advanced and versatile compared to SWITCHOFFSET. It converts a datetime or datetime2 value to a datetimeoffset value by applying the time zone conversion rules of the specified time zone. It can also be used to convert a datetimeoffset value to another time zone. Syntax DATETIME [AT TIME ZONE time_zone] DATETIME: The date and time value to be converted. time_zone: The target time zone name. Example DECLARE @dt datetimeoffset = '2023-12-31 23:09:14.4600000 +01:00'; SELECT @dt AT TIME ZONE 'UTC' AS UtcTime; In this example, AT TIME ZONE converts the datetimeoffset to the UTC time zone. Key Differences Functionality: SWITCHOFFSET only adjusts the time by the specified offset without considering daylight saving rules or historical time zone changes. AT TIME ZONE considers the full time zone conversion rules, including daylight saving changes, making it more accurate for real-world applications. Input and Output: SWITCHOFFSET works with datetimeoffset values and outputs a datetimeoffset value. AT TIME ZONE works with datetime, datetime2, and datetimeoffset values and outputs a datetimeoffset value. Use Cases: Use SWITCHOFFSET when you need a quick offset change without needing full time zone awareness. Use AT TIME ZONE when you need precise and accurate time zone conversions, especially when dealing with historical data and daylight saving time. Performance Considerations When working with large datasets, performance is a crucial aspect to consider. SWITCHOFFSET: Generally faster for simple offset changes as it performs a straightforward arithmetic operation. AT TIME ZONE: May incur additional overhead due to the complexity of applying time zone rules, but it provides accurate results for real-world time zone conversions. Example with a Large Dataset Suppose you have a Users table with 200,000 records, each having a CreatedDate column with datetimeoffset values in various time zones. Converting these to UTC using both methods can illustrate performance differences. -- Using SWITCHOFFSET SELECT COUNT(*) FROM Users WHERE CAST(SWITCHOFFSET(CreatedDate, '+00:00') AS date) = '2024-01-01'; -- Using AT TIME ZONE SELECT COUNT(*) FROM Users WHERE CONVERT(date, CreatedDate AT TIME ZONE 'UTC') = '2024-01-01'; In scenarios like this, benchmarking both methods on your specific dataset and SQL Server environment is advisable to understand the performance implications fully. CPU Times vs Total Duration Let's analyze the efficiency of the two alternatives (SWITCHOFFSET and AT TIME ZONE) when working with a table containing 200,000 records with different time zones in the datetimeoffset field named CreatedDate. Example Table Preparation First, create an example table Users with a CreatedDate field of type datetimeoffset and insert 200,000 records with different time zones. sql -- Create the example table CREATE TABLE Users ( UserID INT IDENTITY(1,1) PRIMARY KEY, CreatedDate DATETIMEOFFSET ); -- Insert 200,000 records with different time zones DECLARE @i INT = 1; WHILE @i <= 200000 BEGIN INSERT INTO Users (CreatedDate) VALUES (DATEADD(MINUTE, @i, SWITCHOFFSET(SYSDATETIMEOFFSET(), CONCAT('+', RIGHT('0' + CAST((@i % 24) AS VARCHAR(2)), 2), ':00')))); SET @i = @i + 1; END; Measuring Efficiency Now, measure the two alternatives for converting the CreatedDate field to UTC and then projecting it as date. Option 1: SWITCHOFFSET sql SET STATISTICS TIME ON; SELECT CAST(SWITCHOFFSET(CreatedDate, '+00:00') AS date) AS UTCDate FROM Users; SET STATISTICS TIME OFF; Option 2: AT TIME ZONE sql SET STATISTICS TIME ON; SELECT CONVERT(date, CreatedDate AT TIME ZONE 'UTC') AS UTCDate FROM Users; SET STATISTICS TIME OFF; Execution Plan and Timing Analysis After running both queries, compare the CPU times and the total duration reported by SET STATISTICS TIME ON to evaluate efficiency. Possible Efficiency Differences SWITCHOFFSET: SWITCHOFFSET is likely more efficient in this scenario because it performs a single operation to adjust the time zone and then projects it as date. This operation is done in a single step, which can reduce overhead. AT TIME ZONE: AT TIME ZONE might introduce a slight overhead because it first changes the time zone and then converts it to date. However, AT TIME ZONE is clearer and can handle multiple time zones more explicitly. Recommendation Although the real efficiency can depend on the specific environment and the detailed execution plan, generally, SWITCHOFFSET is expected to be more efficient for large datasets when only adjusting the time zone and projecting the date is required. Code for Testing in SQL Server sql -- Option 1: SWITCHOFFSET SET STATISTICS TIME ON; SELECT CAST(SWITCHOFFSET(CreatedDate, '+00:00') AS date) AS UTCDate FROM Users; SET STATISTICS TIME OFF; -- Option 2: AT TIME ZONE SET STATISTICS TIME ON; SELECT CONVERT(date, CreatedDate AT TIME ZONE 'UTC') AS UTCDate FROM Users; SET STATISTICS TIME OFF; Comparing Results CPU Times: Compare the CPU times reported by both queries. Total Duration: Compare the total duration of execution of both queries. Evaluating the results from the time statistics will help determine which option is more efficient for your specific case. Additional Considerations Indexes: Ensure that the CreatedDate column is indexed if large volumes of data are expected to be read. Parallelism: SQL Server can handle the query in parallel to improve performance, but parallelism settings might affect the results. Real-World Workload: Conduct tests in an environment as close to production as possible to obtain more accurate results. Conclusion Choosing between SWITCHOFFSET and AT TIME ZONE depends on your specific needs: Use SWITCHOFFSET for simple, quick offset changes where historical accuracy and daylight saving adjustments are not critical. Use AT TIME ZONE for comprehensive and accurate time zone conversions, especially in applications dealing with users across multiple time zones and needing historical accuracy. Understanding these differences will help you make informed decisions in your SQL Server applications, ensuring both performance and accuracy in your date and time data handling.
