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Tech News - Databases

233 Articles
Anonymous
03 Nov 2020
1 min read
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Fundamental Information for Azure Open Source Databases from Blog Posts - SQLServerCentral

Anonymous
03 Nov 2020
1 min read
As all of us know that Microsoft Azure Supporting many different database types such as Azure SQL, Azure Cosmos DB, and Azure support also MariaDB, MySQL, and PostgreSQL so it easily to migrate your current database (MariaDB, MySQL, and PostgreSQL) to Azure , in this post i will share Fundamental information about MariaDB, MySQL, and … Continue reading Fundamental Information for Azure Open Source Databases The post Fundamental Information for Azure Open Source Databases appeared first on SQLServerCentral.
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Anonymous
03 Nov 2020
2 min read
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SQL Homework – November 2020 – Help! from Blog Posts - SQLServerCentral

Anonymous
03 Nov 2020
2 min read
If you ask any senior IT person What is the most important tool you have? there is a decent chance that they’ll tell you something along the lines of Google, Bing, or Books on Line. This month I’d like you to spend some time looking at one of the help pages provided by Microsoft. Specifically take a look at the help page(s) for SELECT. I haven’t done this in a while but here are the tasks and how many points they are worth. Yes, you can get more than 100 points. You can use the extra to help on a previous grade. Review the Syntax section. Notice that there are two different areas and what they are for. (5pts) Some clauses are required, some aren’t. How do you tell? (5pts) Some clauses can be repeated multiple times. How do you tell? (5pts) What does <table_source> mean and where can you go to get details on it? (10 pts) What does it mean when you see ::=? (5 pts) Follow links in the Remarks section. For example the FROM clause. (5pts each.) (No more than 20pts for this section.) Skip to the Examples section without looking at the Permissions section. (5 points) Review each example (5 pts each) (Can be done on the pages from following the Remarks links.) (No more than 20pts for this section.) Look at the See Also section. Follow some of the links. (10 pts) Go to the Select Clause page and look at the Arguments section. (15 pts) Read the Remarks section of the Select Clause page. (10 pts) The post SQL Homework – November 2020 – Help! appeared first on SQLServerCentral.
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Anonymous
03 Nov 2020
2 min read
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Daily Coping 3 Nov 2020 from Blog Posts - SQLServerCentral

Anonymous
03 Nov 2020
2 min read
I started to add a daily coping tip to the SQLServerCentral newsletter and to the Community Circle, which is helping me deal with the issues in the world. I’m adding my responses for each day here. Today’s tip is to think of three things that give you hope for the future. Today especially, election day in the US, it likely feels hope is elusive for many, but I don’t feel that way. I do have some anxiety, but it’s mostly for the immediate changes in my country, not the future beyond the next year. I do have hope and here are three things that I do cling to. Individuals are good Despite the disagreements I might have with many people about how specific issues, for the most part, I find that people I encounter in life, even in this crazy pandemic world, are good. They have compassion, empathy, and kindness towards others that stand in front of them. It’s important to remember that most of our world is still our live connections, not the digital ones. The Next Generations Have Values Beyond Themselves I don’t mean to imply that my generation doesn’t think this way, but I find that so many people overall think about themselves more so than anything else. They look at their situation, or their family’s, as much more important than anything else. They have short term thinking, in general. Despite the vapid, immediacy of how so many young people view the world, I also find them to more often be thinking about the wider world, other cultures, the planet, and more abstract items, with less concern about money. A vague generalization, but one I think is hopeful for the future of many aspects of the world. We Locked Down As much as a pain as it was, and as much disruption as it caused, regardless of effectiveness, I was amazed the world pulled together to shut down most air travel, most borders, and many businesses. It was truly amazing to me that we were able to do this without too much resistance. I know that this has been contentious since then, but in March and April, the world amazed me. Much like I was impressed by efforts like this one. The post Daily Coping 3 Nov 2020 appeared first on SQLServerCentral.
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Anonymous
03 Nov 2020
3 min read
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Migrating SSIS to Azure – an Overview from Blog Posts - SQLServerCentral

Anonymous
03 Nov 2020
3 min read
For quite some time now, there’s been the possibility to lift-and-shift your on-premises SSIS project to Azure Data Factory. There, they run in an Integration Runtime, a cluster of virtual machines that will execute your SSIS packages. In the beginning, you only had the option to use the project deployment model and host your SSIS catalog in either an Azure SQL DB, or in a SQL Server Managed Instance. But over time, features were added and now the package deployment model has been supported for quite some time as well. Even more, the “legacy SSIS package store” is also supported. For those who still remember this, it’s the SSIS service where you can log into with SSMS and see which packages are stored in the service (either the file system or the MSDB database) and which are currently running. The following Microsoft blog post gives a good overview of the journey that was made, and it’s a definite must-read for anyone who wishes to migrate their SSIS solution: Blast to The Future: Accelerating Legacy SSIS Migrations into Azure Data Factory. Something that surprised me in this blog post was this: “…our on-premises telemetry shows that SSIS instances with Package Deployment Model continue to outnumber those with Project Deployment Model by two to one” Microsoft (Sandy Winarko, Product Manager) This means a lot of customers still use the package deployment model. Many presentations at conferences about SSIS (even mine) are always geared towards the project deployment model. This is something I will need to take into account next time I present about SSIS. Anyway, I have done some fair amount of writing on the Azure-SSIS IR: Configure an Azure SQL Server Integration Services Integration Runtime Automate the Azure-SSIS Integration Runtime Start-up and Shutdown – Part 1 Azure-SSIS Integration Runtime Start-up and Shutdown with Webhooks – Part 2 Connect to On-premises Data in Azure Data Factory with the Self-hosted Integration Runtime – Part 1 Connect to On-premises Data in Azure Data Factory with the Self-hosted Integration Runtime – Part 2 Customized Setup for the Azure-SSIS Integration Runtime Execute SSIS Package in Azure with DTEXEC Utility Executing Integration Services Packages in the Azure-SSIS Integration Runtime Parallel package execution in Azure-SSIS Runtime SSIS Catalog Maintenance in the Azure Cloud Migrate a Package Deployment Integration Services Project to Azure Using Files Stored in Azure File Services with Integration Services – Part 1 Using Files Stored in Azure File Services with SQL Server Integration Services – Part 2 Azure-Enabled Integration Services Projects in Visual Studio The post Migrating SSIS to Azure - an Overview first appeared on Under the kover of business intelligence. The post Migrating SSIS to Azure – an Overview appeared first on SQLServerCentral.
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Anonymous
03 Nov 2020
1 min read
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Azure Databricks – Adding Libraries from Blog Posts - SQLServerCentral

Anonymous
03 Nov 2020
1 min read
It is a really common requirement to add specific libraries to databricks. Libraries can be written in Python, Java, Scala, and R. You can upload Java, Scala, and Python libraries and point to external packages in PyPI, Maven, and CRAN … Continue reading ? The post Azure Databricks – Adding Libraries appeared first on SQLServerCentral.
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Anonymous
03 Nov 2020
4 min read
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Protect your SQL Server from Ransomware: Backup Your Service Master Key and More from Blog Posts - SQLServerCentral

Anonymous
03 Nov 2020
4 min read
Not many disaster recovery or SQL migration/upgrade scenarios require the SQL Server instance service master key to be restored.  Some do. Recently, by far the most frequent and common disaster recovery scenario for my clients has been the need for a complete, bare-metal rebuild or restore of the master database. Not hardware failure but ransomware (crypto-locking file) attacks have been the cause.  You should consider complimentary backup solutions that backup/snapshot the entire server (or VM) for SQL Server, but sometimes these technologies are limited or have too much of an impact on the server. A whole VM snapshot for example that is reliant on VSS could incur an unacceptable long IO stun duration when it occurs.  Regardless, in all cases, SQL Server backups of each database should be taken regularly. This is a conversation for another blog post but a typical pattern is weekly full backups, nightly differential backups, and in the case of databases not in SIMPLE recovery model, 15 minute transaction log backups. In the case of SQL Servers needing a rebuild from nothing but SQL Server backups, some of the key pieces of information from this checklist will be helpful: 1. The exact SQL Server version of each instance to recover, so that you can restore system databases and settings. Storing the output of the @@Version global variable is helpful. Store this in server documentation. 2. The volume letters and paths of SQL Server data and log files would be helpful too. Output from the system view sys.master_files is helpful so that you can recreate the volumes. Store this in server documentation. 3. The service master key backup file and its password is needed to restore certain items in the master database like linked server information. Though the master database can be restored without restoring the service master key, some encrypted information will be unavailable and will need to be recreated. This is very easy to do, but the catch is making sure that the backup file created and its password are stored security in an enterprise security vault software. There are many options out there for something like this, I won't list any vendors, but you should be able to store both strings and small files securely, with metadata, and with enterprise security around it, like multi-factor authentication. BACKUP SERVICE MASTER KEY --not actually important for TDE, but important overall and should be backed up regardless.TO FILE = 'E:Program FilesMicrosoft SQL ServerMSSQL14.SQL2K17MSSQLdataInstanceNameHere_SQLServiceMasterKey_20120314.snk' ENCRYPTION BY PASSWORD = 'complexpasswordhere'; 4. In the event they are present, database master key files. Here's an easy script to create backups of each database's symmetric master key, if it exists. Other keys in the database should be backed up as well, upon creation, and stored in your enterprise security vault. exec sp_msforeachdb 'use [?];if exists(select * from sys.symmetric_keys )beginselect ''Database key(s) found in [?]''select ''USE [?];''select ''OPEN MASTER KEY DECRYPTION BY PASSWORD = ''''passwordhere''''; BACKUP MASTER KEY TO FILE = ''''c:temp?_''+name+''_20200131.snk'''' ENCRYPTION BY PASSWORD = ''''passwordhere'''';GO ''from sys.symmetric_keys;END' 5. Transparent Data Encryption (TDE) certificates, keys and passwords. You should have set this up upon creation, backed up and stored them in your enterprise security vault. For example: BACKUP CERTIFICATE TDECert_enctestTO FILE = 'E:Program FilesMicrosoft SQL ServerMSSQL14.SQL2K17MSSQLdataTestingTDEcert.cer' WITH PRIVATE KEY ( FILE = 'E:Program FilesMicrosoft SQL ServerMSSQL14.SQL2K17MSSQLdataTestingTDEcert.key' , --This is a new key file for the cert backup, NOT the same as the key for the database MASTER KEY ENCRYPTION BY PASSWORD = '$12345testpassword123' ); --This password is for the cert backup's key file. 6. Shared Access Signature certificates, in the cases where your SQL Server has been configured to use a SAS certificate to, for example, send backups directly to Azure Blob Storage via the Backup to URL feature. You should save the script used to create the SAS certificate when it is created, and store it in your enterprise security vault. 7. Integration Services SSISDB database password for the SSIS Catalog. You created this password when you created the SSISDB catalog, and stored in your enterprise security vault. You can always try to open the key to test whether or not your records are correct:  OPEN MASTER KEYDECRYPTION BY PASSWORD = N'[old_password]'; --Password used when creatingSSISDB More information here on restoring the SSISDB key: https://techcommunity.microsoft.com/t5/sql-server-integration-services/ssis-catalog-backup-and-restore/ba-p/388058 8. Reporting Services (SSRS) encryption key and password. Backup and restore this key using the Reporting Service Configuration Manager, and store them your enterprise security vault. In the comments: what other steps have you taken to prevent or recover a SQL Server from a ransomware attack? The post Protect your SQL Server from Ransomware: Backup Your Service Master Key and More appeared first on SQLServerCentral.
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Anonymous
02 Nov 2020
2 min read
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Daily Coping 2 Nov 2020 from Blog Posts - SQLServerCentral

Anonymous
02 Nov 2020
2 min read
I started to add a daily coping tip to the SQLServerCentral newsletter and to the Community Circle, which is helping me deal with the issues in the world. I’m adding my responses for each day here. Today’s tip is to start the week by writing down your top priorities and plans. It’s the start of a new month, and a new week. Let’s get organized. Top priorities and plans: DPS Presentations Gym Time Coaching Decisions Database Weekly These are the big items. The PASS Summit is next week, but two recordings are in, and the one I’m  going live I’ll practice again next week. For this week, I need to get things prepped for the Data Platform Summit, where I have 2 talks I need to record in the next couple weeks. After that, I missed a week of the gym, feeling ill. I got back to things last week, but I want to continue to be on track here and take care of my body. My volleyball team has been playing 15s and 16s tournaments, but it’s tough, so need to decide on a direction and move forward with that. It’s Database Weekly week for me, so I need to keep working on that each day for a bit. The post Daily Coping 2 Nov 2020 appeared first on SQLServerCentral.
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Anonymous
02 Nov 2020
1 min read
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Database Fundamentals #29: Create Foreign Keys With Table Designer from Blog Posts - SQLServerCentral

Anonymous
02 Nov 2020
1 min read
The purpose of a foreign key is to ensure data integrity by making sure that data added to a child table actually exists in the parent table and preventing data from being removed in the parent table if it’s in the child table. The rules for these relationships are not terribly complex: The columns in […] The post Database Fundamentals #29: Create Foreign Keys With Table Designer appeared first on Grant Fritchey. The post Database Fundamentals #29: Create Foreign Keys With Table Designer appeared first on SQLServerCentral.
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Anonymous
02 Nov 2020
2 min read
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Azure DevOps–Using Variable Groups from Blog Posts - SQLServerCentral

Anonymous
02 Nov 2020
2 min read
I was in a webinar recently and saw a note about variable groups. That looked interesting, as I’ve started to find that I may have lots of variables in some pipelines, and I thought this would keep me organized. However, these are better than that. When I go to the variable screen for a pipeline, I see this my variables, but on the left side, I see “Variable groups”. If I click this, I see some info.: The top link takes me to a doc page, where I see this sentence: “Use a variable group to store values that you want to control and make available across multiple pipelines.” Now that is interesting. I have been thinking about different pipelines, so having variables that work across them is good. To create a variable group, I need to go to the Library, which is another menu item under the Pipelines area. I get a list of groups, of which I have none right now. When I click the blue button, I get a form with the group properties, and then a variables section below. I add a couple variables and add some group info. In this case, I want some secret values that are useful across different pipelines. You do need to click Save at the end of this. In my pipeline, I see I have some variables. On the left, again, is a Variable groups item. When I click that, I don’t see any, but I haven’t linked any. Here I need to link my group. When I click this, I get a blade on the right. I can then see my group(s), and I can set a scope. I do need to click the group and then I can click link at the bottom. Now I see the variables available in my pipeline. That’s pretty cool, especially as I am starting to see separate pipelines for different downstream environments becoming more popular. The post Azure DevOps–Using Variable Groups appeared first on SQLServerCentral.
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Anonymous
31 Oct 2020
1 min read
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Azure SQL Database administration Tips and Hints Exam (DP-300) from Blog Posts - SQLServerCentral

Anonymous
31 Oct 2020
1 min read
Finally, I got my certification Azure Database administrator Associate for Exam (DP-300) after two times failure, during the journey of study I watched many courses, videos, and articles, and this post of today is for spreading what I have from the knowledge and what I learned during the journey, and I do two things during … Continue reading Azure SQL Database administration Tips and Hints Exam (DP-300) The post Azure SQL Database administration Tips and Hints Exam (DP-300) appeared first on SQLServerCentral.
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Anonymous
31 Oct 2020
8 min read
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Persistent Server Name Metadata When Deploying SQL Server in Kubernetes from Blog Posts - SQLServerCentral

Anonymous
31 Oct 2020
8 min read
In this post, we will explore how a Pod name is generated, Pod Name lifecycle, how it’s used inside a Pod to set the system hostname, and how the system hostname is used by SQL Server to set its server name metadata. Pod Naming in Deployments When deploying SQL Server in Kubernetes using a Deployment, the Pod created by the Deployment Controller will have a name with a structure of <DeploymentName>-<PodTemplateHash>-<PodID> for example, mssql-deployment-8cbdc8ddd-9n7jh. Let’s break that example Pod name down a bit more: mssql-deployment – this is the name of the Deployment specified at metatdata.name. This is stable for the lifecycle of the deployment 8cbdc8ddd – this is a hash of the Pod Template Spec in the Deployment object template.spec. Changing the Pod Template Spec changes this value and also triggers a rollout of the new Pod configuration. 9n7jh – this is a random string assigned to help identify the Pod uniquely. This changes with the lifecycle of the Pod itself. In a default Deployment configuration, the Pod’s name is used to system hostname inside the Pod. In a Deployment, when a Pod is deleted for whatever reason, Pod/Node failure, Pod administratively deleted, or an update to the Pod Template Spec triggering a rollout, the new Pod created will have a new Pod Name and a matching hostname inside the Pod. It is a new Pod after all. This can lead to an interesting scenario inside SQL Server since the Pod name can change. Let’s dig deeper… Server name metadata inside SQL Server running in a Pod To ensure SQL Server’s data has a lifecycle independent of the Pod’s lifecycle, in a basic configuration, a PersistentVolume is used for the instance directory /var/opt/mssql. The first time SQL Server starts up, it copies a set of system databases into the directory /var/opt/mssql. During the initial startup, the current hostname of the Pod is used to set SQL Server system metadata for the server name. Specifically @@SERVERNAME, SERVERPROPERTY('ServerName') and the Name column from sys.servers. In Listing 1, is an example Deployment for SQL Server. In this configuration, the hostname inside the Pod will match the current Pod Name. But what happens when the Pod name changes when a Pod is deleted, and new Pod is created with a new name? Let’s walk through that together in the next section. apiVersion: apps/v1 kind: Deployment metadata: name: mssql-deployment spec: replicas: 1 strategy: type: Recreate selector: matchLabels: app: mssql template: metadata: labels: app: mssql spec: securityContext: fsGroup: 10001 containers: - name: mssql image: 'mcr.microsoft.com/mssql/server:2019-CU8-ubuntu-18.04' ports: - containerPort: 1433 env: - name: ACCEPT_EULA value: "Y" - name: SA_PASSWORD valueFrom: secretKeyRef: name: mssql key: SA_PASSWORD volumeMounts: - name: mssqldb mountPath: /var/opt/mssql volumes: - name: mssqldb persistentVolumeClaim: claimName: pvc-nfs-instance Listing 1 – Example SQL Server Manifest using a Deployment Controller Examining Server Name Metadata When Deploying SQL Server in a Deployment Initial Deployment When the Deployment is created, a Pod is created. In the output below, you can see the name of the Pod is mssql-deployment-bb44b7bf7-nzkmt, and the hostname set inside the Pod is the same, mssql-deployment-bb44b7bf7-nzkmt kubectl get pods NAME READY STATUS RESTARTS AGE mssql-deployment-bb44b7bf7-nzkmt 1/1 Running 0 7s kubectl exec -it mssql-deployment-bb44b7bf7-nzkmt -- /bin/hostname mssql-deployment-bb44b7bf7-nzkmt Check Server Name Metadata Since this is the initial deployment of this SQL Server instance, system databases are copied into /var/opt/mssql, and the server name metadata is set. Let’s query SQL Server for @@SERVERNAME, SERVERPROPERTY('ServerName') and the Name column from sys.servers. In the output below you can see all three values match. sqlcmd -S $SERVICEIP,$PORT -U sa -Q "SELECT @@SERVERNAME AS SERVERNAME, SERVERPROPERTY('ServerName') AS SERVERPROPERTY, name FROM sys.servers" -P $PASSWORD -W SERVERNAME SERVERPROPERTY name ---------- -------------- ---- mssql-deployment-bb44b7bf7-nzkmt mssql-deployment-bb44b7bf7-nzkmt mssql-deployment-bb44b7bf7-nzkmt Delete the Currently Running Pod Next, let’s delete a Pod and what happens to the Pod’s name, the Pod’s hostname, and the SQL Server server name metadata. kubectl delete pod mssql-deployment-bb44b7bf7-nzkmt pod "mssql-deployment-bb44b7bf7-nzkmt" deleted I’ve deleted the Pod, and since this is controller by a Deployment controller, it immediately creates a new Pod in its place. This Pod gets a new name. The existing databases and configuration are persisted in the attached PersistentVolume at /var/opt/mssql. These databases are all brought online. In this output below, you can see the new Pod name and hostname are both mssql-deployment-bb44b7bf7-6gm6v. kubectl get pods NAME READY STATUS RESTARTS AGE mssql-deployment-bb44b7bf7-6gm6v 1/1 Running 0 20s kubectl exec -it mssql-deployment-bb44b7bf7-6gm6v -- hostname mssql-deployment-bb44b7bf7-6gm6v What’s in a name? Now let’s query the server name metadata again. In the output below, you can see there are some inconsistencies. We saw above that Pod has a new name and hostname (mssql-deployment-bb44b7bf7-6gm6v), but this change isn’t updating all the server name metadata inside our Instance. The only place it is updated is SERVERPROPERTY('ServerName') the other values still have the initial Pod Name mssql-deployment-bb44b7bf7-nzkmt. sqlcmd -S $SERVICEIP,$PORT -U sa -Q "SELECT @@SERVERNAME AS SERVERNAME, SERVERPROPERTY('ServerName') AS SERVERPROPERTY, name FROM sys.servers" -P $PASSWORD -W SERVERNAME SERVERPROPERTY name ---------- -------------- ---- mssql-deployment-bb44b7bf7-nzkmt mssql-deployment-bb44b7bf7-6gm6v mssql-deployment-bb44b7bf7-nzkmt Setting a Pod’s Hostname So what do we do about this? Having instability in the server name metadata can break Replication, mess up our server monitoring systems, and even break code. To get the Pod’s hostname to a persistent value, you need to set the template.pod.spec.hostname field in the Deployment. This sets the system hostname inside the Pod to this value. In the code below you, can see I’ve set the template.pod.spec.hostname to sql01. On the initial deployment of a SQL Instance, this is the value that is stored in the Instance server name metadata. If you already have a SQL Server up and running in Kubernetes and did not set the template.pod.spec.hostname value, the server name metadata will need to be updated using standard SQL Server methods with sp_dropserver and sp_addserver. But for demonstration purposes, I’m going to start over as if this is an initial deployment. And deploy the manifest in Listing 2 into my cluster. apiVersion: apps/v1 kind: Deployment metadata: name: mssql-deployment spec: replicas: 1 strategy: type: Recreate selector: matchLabels: app: mssql template: metadata: labels: app: mssql spec: securityContext: fsGroup: 10001 hostname: sql01 containers: - name: mssql image: 'mcr.microsoft.com/mssql/server:2019-CU8-ubuntu-18.04' ports: - containerPort: 1433 env: - name: ACCEPT_EULA value: "Y" - name: SA_PASSWORD valueFrom: secretKeyRef: name: mssql key: SA_PASSWORD volumeMounts: - name: mssqldb mountPath: /var/opt/mssql volumes: - name: mssqldb persistentVolumeClaim: claimName: pvc-nfs-instance Listing 2 – Example SQL Server Manifest using a Deployment Controller, setting the Pod’s hostname In the output, below the Pod Name is mssql-deployment-8cbdc8ddd-nv8j4, but inside the Pod, the hostname is sql01, and now all three values for our server name metadata match. If this Pod is deleted, the Pod gets a new name, the hostname inside the Pod will still be sql01, and the Pod server name metadata will still be set to sql01. kubectl get pods NAME READY STATUS RESTARTS AGE mssql-deployment-8cbdc8ddd-nv8j4 1/1 Running 0 43s kubectl exec -it mssql-deployment-8cbdc8ddd-nv8j4 -- hostname sql01 sqlcmd -S $SERVICEIP,$PORT -U sa -Q "SELECT @@SERVERNAME AS SERVERNAME, SERVERPROPERTY('ServerName') AS SERVERPROPERTY, name FROM sys.servers" -P $PASSWORD -W SERVERNAME SERVERPROPERTY name ---------- -------------- ---- sql01 sql01 sql01 Setting the hostname in the Pod Template Spec gives you the ability to persist the hostname and thus the server name metadata inside SQL Server. This is crucial for services and code that depend on a static hostname. A StatefulSet is a Controller in Kubernetes that does give you persistent, stable naming independent of the lifecycle of a Pod. I will explore those in an upcoming blog post. The post Persistent Server Name Metadata When Deploying SQL Server in Kubernetes appeared first on Centino Systems Blog. The post Persistent Server Name Metadata When Deploying SQL Server in Kubernetes appeared first on SQLServerCentral.
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Anonymous
31 Oct 2020
4 min read
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Quick Start to Using Influxdb on Macos from Blog Posts - SQLServerCentral

Anonymous
31 Oct 2020
4 min read
Intro OSS 2.0 is a release candidate at this time, so this may change once it’s released. It wasn’t quite clear to me how to get up and running quickly with a docker based setup for OSS 2.0 version, so this may save you some time if you are interested. It also should be very similar to the Windows workflow excepting the basic brew commands and service install commands you’ll just want to flip over to choco install telegraf . Docker Compose Grabbed this from a comment and modified the ports as the were flipped from the 9999 range used during first early access. # docker exec -it influxdb /bin/bash version: "3.1" services: influxdb: restart: always # It will always restart on rebooting machine now, no need to manually manage this container_name: influxdb ports: - '8086:8086' image: 'quay.io/influxdb/influxdb:2.0.0-rc' volumes: - influxdb:/var/lib/influxdb2 command: influxd run --bolt-path /var/lib/influxdb2/influxd.bolt --engine-path /var/lib/influxdb2/engine --store bolt volumes: influxdb: The main modifications I made was ensuring it auto started. Access the instance on localhost:8086. Telegraf It’s pretty straight-forward using homebrew. brew install telegraf The configuration file is created by default at: /usr/local/etc/telegraf.conf as well as the telegraf.d directory. I’m still a bit new on macOS, so once I opened Chronograf, I wanted to try the new http based configuration endpoint, so I used the web gui to create a telegraf config for system metrics and then: brew services stop telegraf micro /usr/Local/Cellar/telegraf/1.15.3/homebrew.mxcl.telegraf.plist I updated the configuration (see line 16). <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> <plist version="1.0"> <dict> <key>KeepAlive</key> <dict> <key>SuccessfulExit</key> <false/> </dict> <key>Label</key> <string>homebrew.mxcl.telegraf</string> <key>ProgramArguments</key> <array> <string>/usr/local/opt/telegraf/bin/telegraf</string> <string>-config</string> <string>http://localhost:8086/api/v2/telegrafs/068ab4d50aa24000</string> <string>-config-directory</string> <string>/usr/local/etc/telegraf.d</string> </array> <key>RunAtLoad</key> <true/> <key>WorkingDirectory</key> <string>/usr/local/var</string> <key>StandardErrorPath</key> <string>/usr/local/var/log/telegraf.log</string> <key>StandardOutPath</key> <string>/usr/local/var/log/telegraf.log</string> </dict> </plist> Start service with brew services start telegraf and it should start sending data. NOTE: I’m still getting the hang of brew and service management on Linux/macOS, so the first time I did this it didn’t work and I ended up starting it using telegraf -config http://localhost:8086/api/v2/telegrafs/068ab4d50aa24000 and just running initially in my console. Any comments on if I did something wrong here would be appreciated ?? I’m pretty sure the culprit is the need for the INFLUX_TOKEN environment variable and I’m not sure if the service load with brew is actually sourcing the .profile I put this in. Maybe I can pass it explicitly? Final Result I like the final result. Dark theme for the win. I’ve had some spikes in Vscode recently, impacting my CPU so I’ve been meaning to do something like this for a while, but finally got it knocked out today once I realized there was a 2.0 docker release I could use to get up and running easily. Next step will be to add some process level detail so I can track the culprit (probably VScode + Docker Codespaces). Wishlist Pretty formatting of date/time like Grafana does, such as converting seconds into hour/minutes. Log viewing api so I could query cloudwatch logs like Grafana offers without needing to ingest. Edit existing telegraf configuration in the load data section. Right now I can’t edit. MSSQL Custom SQL Server query plugin to be released ?? Issue 1894 & PR 3069 Right now I’ve done custom exec based queries using dbatools and locally included PowerShell modules. This sorta defeats the flexibility of having a custom query call so I can minimize external dependencies. #development #influxdb The post Quick Start to Using Influxdb on Macos appeared first on SQLServerCentral.
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Anonymous
30 Oct 2020
59 min read
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Error: 8623 - The query processor ran out of internal resources and could not produce a query plan from Blog Posts - SQLServerCentral

Anonymous
30 Oct 2020
59 min read
 Unfortunately a common error in many of our client environments is this: -- Error: 8623, Severity: 16, State: 1. The query processor ran out of internal resources and could not produce a query plan. This is a rare event and only expected for extremely complex queries or queries that reference a very large number of tables or partitions. Please simplify the query. If you believe you have received this message in error, contact Customer Support Services for more information. -- There are many potential causes for this, and the text of this particular error is very well-written because the primary cause is exactly what is listed - a complex query. https://hbr.org/resources/images/article_assets/2018/05/may18_9_170094377.jpg The gotcha of course is finding the complex query, especially if it only occurs intermittently or during varying times of the day. My go-to tool for this and other similar situations is our old friend Extended Events. One of the keys with Extended Events is to only trap the needed information - only the relevant events, and only the relevant fields for those particular events. Here is the code for a session to capture 8623 events: -- CREATE EVENT SESSION [Error8623] ON SERVER ADD EVENT sqlserver.error_reported(ACTION(package0.collect_system_time, sqlserver.client_app_name, sqlserver.client_hostname, sqlserver.database_id, sqlserver.database_name, sqlserver.server_instance_name, sqlserver.server_principal_name, sqlserver.sql_text, sqlserver.username)WHERE ([error_number]=(8623)))ADD TARGET package0.event_file(SET filename=N'Error8623'), ADD TARGET package0.ring_bufferWITH (MAX_MEMORY=4096 KB, EVENT_RETENTION_MODE=ALLOW_SINGLE_EVENT_LOSS, MAX_DISPATCH_LATENCY=30 SECONDS, MAX_EVENT_SIZE=0 KB, MEMORY_PARTITION_MODE=NONE, TRACK_CAUSALITY=OFF, STARTUP_STATE=ON)GO -- This will collect the relevant info but *only* about error 8623's.  Because there is no path built into the event_file target, it will by default write to the SQL Server error log path.  As you can see we are also not collecting a lot of different data fields - just the minimum we need to run down the culprit and where it may be coming from. My preferred method to access data like this is to query the event file via TSQL - a query for this particular file would look like this: -- SELECT  n.value ('(action[@name="server_instance_name"]/value)[1]','nvarchar(500)') AS [server_instance_name] , n.value ('(action[@name="collect_system_time"]/value)[1]', 'datetime') AS [collect_system_time] , n.value ('(data[@name="error_number"]/value)[1]', 'int') AS [error_number] , n.value ('(action[@name="database_id"]/value)[1]', 'int') AS [database_id] , n.value ('(action[@name="database_name"]/value)[1]', 'nvarchar(500)') AS [database_name] , n.value ('(action[@name="client_app_name"]/value)[1]','nvarchar(500)') AS [client_app_name] , n.value ('(action[@name="server_principal_name"]/value)[1]','nvarchar(500)') AS [server_principal_name] , n.value ('(action[@name="client_hostname"]/value)[1]','nvarchar(500)') AS [client_hostname] , n.value ('(action[@name="sql_text"]/value)[1]','nvarchar(max)') AS [sql_text] FROM  ( SELECT CAST(event_data AS XML) AS event_data FROM sys.fn_xe_file_target_read_file( N'Error8623*.xel' , NULL , NULL , NULL) ) AS Event_Data_Table CROSS APPLY event_data.nodes('event') AS q(n) -- Again by not providing an explicit path to the XEL file, the fn_xe_file_target_read_file function looks in the default SQL Server error log path for the file(s) - if you *do* store your event_file output somewhere else, you need to include that explicit path! One other important note relates to the sql_text field - you can see in the script I have it cast as an nvarchar(max) which is especially important here because we are going to be pulling back complex queries, which almost always equates to *long* queries - often even a 4000 or 8000 character field will not hold these queries without chopping them off! https://pixabay.com/photos/man-breaking-technique-pavers-elbow-80638/ Also note that this query returns the collect_system_time value in its default format, which is UTC.  To convert that to the local server time, you need to wrap it in a couple of functions as described in a Stack Overflow post at https://stackoverflow.com/questions/8038744/convert-datetime-column-from-utc-to-local-time-in-select-statement/57503319: Instead of: n.value ('(action[@name="collect_system_time"]/value)[1]', 'datetime') AS [collect_system_time] Wrap it like this: DATEADD(mi, DATEDIFF(mi, GETUTCDATE(), GETDATE()),n.value ('(action[@name="collect_system_time"]/value)[1]', 'datetime')) AS [collect_system_time in local time] -- Hopefully you will find this useful, and this is truly meaningful for any error you are trying to run down - simply change the filter in the XEvents session definition from 8623 to whatever error you are looking for (and probably change the name of the event_file), and voila - you now have a session to run down the source queries for that new error, without any changes to the data return query. At this point you may wonder what a "complex" query looks like - here is one sample I have found recently: -- SELECT Item_ID, PA_Rank, Pj_Hours, Pj_Cnt, Bio_Rank FROM (  SELECT SM.Staff_ID AS Item_ID,    0 AS PA_Rank,    0 AS Pj_Hours,    0 AS Pj_Cnt,    0 AS Bio_Rank  FROM Staff_Main SM WITH (NOLOCK)) TBL INNER JOIN Staff_Main SM WITH (NOLOCK) ON SM.Staff_ID = TBL.Item_ID INNER JOIN Office_Main OM WITH (NOLOCK) ON OM.Office_ID = SM.Office_Topic_ID WHERE SM.Staff_ID > -40   AND SM.Is_Active = 1   AND (SM.Staff_Position_ID IN (106))   AND (SM.Office_Topic_ID IN           (SELECT * FROM dbo.List_SubTopics(2005514)))   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1013)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1014)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1032)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 9000000002)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8597)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1116)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1000)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1001)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1080)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 9000000010)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8589)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8590)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1081)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8588)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1041)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1117)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1003)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8605)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1004)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1005)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8598)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1024)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 9000000009)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1045)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1007)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1008)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1009)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1010)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1127)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1119)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1042)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1120)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1012)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1101)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8599)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 9000000003)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1083)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8592)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1048)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1015)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1043)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1121)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1038)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1039)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1016)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1046)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 9000000012)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1017)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1018)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1019)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1020)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1122)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8603)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1118)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1123)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1021)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8602)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1022)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1124)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1125)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 9000000007)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1023)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1126)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 9000000004)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1103)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8604)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1025)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8591)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1128)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1026)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1107)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1082)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1027)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1028)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1044)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1047)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1029)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1030)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8606)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 9000000008)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 9000000005)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1129)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1031)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 9000000011)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1130)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8601)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 9000000006)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1033)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8600)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1131)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1034)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8585)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1040)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1035)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1132)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1133)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8586)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1036)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1037)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8594)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8587)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 1134)   AND EXISTS     (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK)      WHERE SL.Nav_Staff_ID = SM.Staff_ID        AND SL.Language_Rec_ID = 8593)   AND EXISTS    (SELECT TSA.Topic_Staff_ID      FROM Topic_Staff AS TSA WITH (NOLOCK)     WHERE TSA.Staff_ID = SM.Staff_ID       AND TSA.Contact_Role_Ref_ID IN (655))   AND SM.Status = 'Published' ORDER BY PA_Rank DESC, Pj_Hours DESC, Bio_Rank DESC, SM.LastName, SM.FirstName -- https://www.mememaker.net/api/bucket?path=static/img/memes/full/2019/May/15/1/say-what-440.png Complex enough for you?  Maybe you like this one: -- (@dateFilter int, @staffID nvarchar(5))SELECT [PM].[Project_ID],  [PM].[TB_DATE_OPENED],  [PM].[Short_Desc],  [PM].[Project_Type_Code],  [PM].[Case_Number],  [PS].[Responsibility_Desc] FROM [Project_Main] [PM] WITH (NOLOCK) INNER JOIN [Project_Staff] [PS] WITH (NOLOCK) ON [PS].[Project_ID] = [PM].[Project_ID] WHERE [PM].[Status] LIKE 'Published%' AND [PM].[Status] NOT LIKE 'withdrawn' AND [PM].[TB_DATE_OPENED] > (getDate() - @dateFilter) AND [Short_Desc] IS NOT NULL AND [Short_Desc] NOT LIKE 'TB Feed' AND [Short_Desc] NOT LIKE '%UNSOLD PROPOSAL%' AND ([Short_Desc] NOT LIKE '%follow-on%' or datalength([Short_Desc])>50) AND [Short_Desc] NOT LIKE 'confidential%' AND [PS].[Staff_ID]=@staffID AND [Project_Type_Code] = 'c' AND PM.Project_ID IN ('65011625', '65025688', '65032850', '65042668', '65052747', '65058320', '65130746', '65143481', '65144809', '65147726', '65153299', '65161789', '65079545', '65083790', '65088035', '65110849', '65119339', '65123584', '4000218', '65018549', '65027039', '65027254', '65034201', '65052724', '65150620', '65100793', '65110826', '65126478', '65127806', '65140587', '65141915', '65054052', '65058343', '65082485', '65086684', '65093846', '65095174', '65027062', '65027231', '65032804', '65042714', '65047128', '65055449', '65153345', '65157590', '65159087', '65163332', '65120713', '65129372', '65130700', '65137693', '65139021', '65143435', '65096740', '65098068', '65103733', '65107978', '65109475', '65113720', '65071101', '65072429', '65078171', '65079760', '65081088', '65093654', '65027208', '65031499', '65054098', '65055426', '65058512', '65069750', '65157736', '65163355', '65110657', '65119362', '65126432', '65142084', '65143412', '65149031', 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'65134928', '65135469', '65018701', '65031347', '65053325', '65053574', '65072220', '65074722', '65080384', '65083627', '65107769', '65115595', '65150219', '65150806', '65039949', '65060759', '65071579', '65072120', '65081071', '65082399', '65142001', '65152821', '65160647', '65164182', '65084563', '65087557', '65118197', '65128679', '65137384', '65140378', '65018409', '65032721', '65051951', '65054115', '65073099', '65073348', '65149678', '65162167', '65097985', '65107972', '65117218', '65138858', '65139940', '65149183', '65073594', '65074676', '65083919', '65084414', '65085250', '65086083', '65007935', '65018263', '65040985', '65051018', '65053969', '65073199', '65074281', '65075363', '65084560', '65094347', '65095429', '65095970', '17000211', '65049913', '65052830', '65069146', '65070308', '65082545', '65141311', '65143398', '65145390', '65148971', '65155635', '65161706', '65095114', '65103770', '65119422', '65132821', '65135738', '65140481', '17000188', '65016428', '65032744', '65057550', '65066206', '65073866', '65140458', '65144251', '65153903', '65082522', '65086813', '65087477', '65103129', '65115154', '65139296', '65039714', '65071851', '65076093', '65095326', '65099405', '65100069', '65150016', '65153926', '65157009', '65158340', '65160332', '65134029', '65134693', '65139107', '65142685', '65144016', '65147763', '65115131', '65116385', '65118048', '65118377', '65125708', '65130783', '65018466', '65074078', '65090394', '65097341', '65100046', '65101755', '65157650', '65163933', '65143375', '65145748', '65152031', '65155400', '65155941', '65156986', '65109415', '65113116', '65137092', '65137633', '65139084', '65141334', '65002219', '65047663', '65049578', '65054327', '65067062', '65075552', '65108184', '65120919', '65122668', '65133488', '65142144', '65155300', '65082210', '65088951', '65098864', '65099356', '65099528', '65103435', '65016969', '65037158', '65045814', '65060421', '65068911', '65069077', '65144872', '65158317', '65158858', '65100879', '65101420', '65102084', '65112240', '65131347', '65143710', '65071782', '65075575') -- Now *that's* an IN clause! Please note that this is not a contest - DON'T write code that looks like this - ever! https://www.mememaker.net/api/bucket?path=static/img/memes/full/2017/Feb/14/22/please-just-stop-dont-do-that.jpg -- Hope this helps (and good to be back writing after some time!) The post Error: 8623 - The query processor ran out of internal resources and could not produce a query plan appeared first on SQLServerCentral.
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Anonymous
30 Oct 2020
2 min read
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Goal Progress– October 2020 from Blog Posts - SQLServerCentral

Anonymous
30 Oct 2020
2 min read
This is my report, which continues on from the Aug report. After that report, I made an effort to work a little harder. This is where I am. Reading Goals Here were my goals for the year. 3 technical books 2 non-technical books Books I’ve tackled: Making Work Visible – Complete Pro Power BI Desktop – 60% complete White Fragility – 82% complete The Biggest Bluff – 100% complete Team of Teams – NEW Project to Product – NEW I made an effort during some lunches and breaks to work on Making Work Visible and finished it. The middle of the book was hard, but the end got me thinking again. I’ll write a review soon. No Power BI or White Fragility. I’ve been a little unfocused and struggling to cope for a couple months and trying to let my brain relax when I can. I added the last book after hearing the author talk about poker and how it relates to life and decision making. So far, it’s a mix of poker, fear, and the challenges of imperfect information. Project Goals Here were my project goals, working with software A Power BI report that updates from a database A mobile app reading data from somewhere A website that showcases changes and data from a database. I started compiling some data, grabbing some stats from my life. I’m loading that into a db , as a part of life and some content work, so I’ll write about that. Once I get that loaded, I’m thinking to use that db as a way to kick start some of these items. Work is not slowing this fall,but I did take a bit of time and start to build a PowerBI report that has some data in a database. Early days here, and I really think this is about 10% done, but it’s moving. Nothing on the mobile app, nothing on the website for now. The post Goal Progress– October 2020 appeared first on SQLServerCentral.
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Anonymous
30 Oct 2020
1 min read
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Daily Coping 30 Oct 2020 from Blog Posts - SQLServerCentral

Anonymous
30 Oct 2020
1 min read
I started to add a daily coping tip to the SQLServerCentral newsletter and to the Community Circle, which is helping me deal with the issues in the world. I’m adding my responses for each day here. Today’s tip is to ask yourself, will this still matter a year from now? A year is a long time. Next year, as we get ready for Halloween, will this matter? I certainly hope that much of the challenges of COVID will be a memory. While I wouldn’t be surprised if we still wore masks in gatherings and limited some of the heavily crowded areas, I do hope that we have learned some lessons and adjusted our world to cope. The feelings I have today, and discontent, the stress and concerns, much if it won’t matter. The post Daily Coping 30 Oct 2020 appeared first on SQLServerCentral.
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