Hello,
I have created a calculator in excel and I would like to share it with my student so they can find out their age category.
is it possible to share it like a web page or convert it to HTML to put on my school website?
I want a box that when my students enter their Date of birth, then automatically they get their age category that they are in for the current academic year.
I attached the file
pgBadger for Azure Database for PostgreSQL - Flexible Server
\nConfiguring pgBadger report generation for your Flexible Server.
","body":"PgBadger is one of the most comprehensive Postgres troubleshooting tools available. It allows users to have insight into a wide variety of events happening in the database including:
\n\n
You can see a sample pgBadger report here.
\n\n
You can generate a pgBadger report from Azure Database for PostgreSQL Flexible Server in multiple ways:
\n*Coming soon!
\n\n
In this article we will describe the first solution - Using Diagnostic Settings and redirecting logs to a storage account. At the end of exercise we will have storage account filled with the logs from Postgres Flexible Server and a operational VM with direct access to the logs stored in the storage account like shown below in the picture:
\n\n
generate pgBadger report from Azure Database for PostgreSQL Flexible Server
\n\n
To be able to generate the report you need to configure the following items:
\n\n
Navigate to the Server Parameters blade in the portal and modify the following parameters:
\n\n
log_line_prefix = '%t %p %l-1 db-%d,user-%u,app-%a,client-%h ' #Please mind the space at the end!\n
log_lock_waits = on
log_temp_files = 0
log_autovacuum_min_duration = 0
log_min_duration_statement=0 # 0 is recommended only for test purposes, for production usage please consider much higher value, like 60000 (1 minute) to avoid excessive usage of resources
Adjust Postgres Server configuration
\nAfter the change hit the “Save”:
\nSave changed Postgres parameters
\n\n
Please keep in mind that the storage account needs to be created in the same region as Azure Database for PostgreSQL Flexible Server. Please find the instruction here.
\n\n
In this blog post we will use Ubuntu 20.04 as an example, but nothing stops you from using rpm-based system, the only difference will be in a way that BlobFuse and pgBadger is installed.
\n\n
Navigate to Diagnostic settings page in the Azure Portal, Azure Database for PostgreSQL Flexible Server instance and add a new diagnostic setting with storage account as a destination:
\n\n
\n
\n
\n
Hit save button.
\n\n
In this section you will mount storage account to your VM using BlobFuse. This way you will see the logs on the storage account as standard files in your VM. First let’s download and install necessary packages. Commands for Ubuntu 20.04 are as follows (feel free to simply copy and paste the following commands):
\nwget https://packages.microsoft.com/config/ubuntu/20.04/packages-microsoft-prod.deb\n
sudo dpkg -i packages-microsoft-prod.deb
sudo apt-get update -y
For other distributions please follow the official documentation.
\n\n
The following example creates a ramdisk of 16 GB and a directory for BlobFuse. Choose the size based on your needs. This ramdisk allows BlobFuse to open files up to 16 GB in size.
\n
sudo mkdir /mnt/ramdisk\nsudo mount -t tmpfs -o size=16g tmpfs /mnt/ramdisk\nsudo mkdir /mnt/ramdisk/blobfusetmp\nsudo chown <your VM admin> /mnt/ramdisk/blobfusetmpYou can authorize access to your storage account by using the account access key, a shared access signature, a managed identity, or a service principal. Authorization information can be provided on the command line, in a config file, or in environment variables. For details, see Valid authentication setups in the BlobFuse readme.
\nFor example, suppose you are authorizing with the account access keys and storing them in a config file. The config file should have the following format:
\naccountName myaccount\naccountKey storageaccesskey\ncontainerName insights-logs-postgresqllogs\n
Please prepare the following file in editor of your choice. Values for the accountName and accountKey you will find in the Azure Portal and the container name is the same as in the example above. The accountName is the name of your storage account, and not the full URL.
\nPlease navigate to your storage account in the portal and then choose Access keys page:
\n\n
\n
Copy accountName and accountKey and paste it to the file. Copy the content of your file and paste it to the fuse_connection.cfg file in your home directory, then mount your storage account container onto the directory in your VM:
\nvi fuse_connection.cfg\nchmod 600 fuse_connection.cfg\nmkdir ~/mycontainer\nsudo blobfuse ~/mycontainer --tmp-path=/mnt/resource/blobfusetmp --config-file=/home/<your VM admin>/fuse_connection.cfg -o attr_timeout=240 -o entry_timeout=240 -o negative_timeout=120\n\nsudo -i\ncd /home/<your VM admin>/mycontainer/\nls # check if you see container mounted \n# Please use tab key for directory autocompletion; do not copy and paste!\ncd resourceId\\=/SUBSCRIPTIONS/<your subscription id>/RESOURCEGROUPS/PG-WORKSHOP/PROVIDERS/MICROSOFT.DBFORPOSTGRESQL/FLEXIBLESERVERS/PSQLFLEXIKHLYQLERJGTM/y\\=2022/m\\=06/d\\=16/h\\=09/m\\=00/\nhead PT1H.json # to check if file is not emptyAt this point you should be able to see some logs being generated.
\n\n
Now we need to install pgBadger tool on the VM. For Ubuntu please simply use the command below:
\nsudo apt-get install -y pgbadgerFor other distributions please follow the official documentation.
\n\n
Choose the file you want to generate pgBadger from and go to the directory where the chosen PT1H.json file is stored, for instance, to generate a report from 2022-05-23, 9 o'clock you need to go to the following directory:
\ncd /home/pgadmin/mycontainer/resourceId=/SUBSCRIPTIONS/***/RESOURCEGROUPS/PG-WORKSHOP/PROVIDERS/MICROSOFT.DBFORPOSTGRESQL/FLEXIBLESERVERS/PSQLFLEXIKHLYQLERJGTM/y=2022/m=05/d=23/h=09/m=00\nSince PT1H.json file is a json file and the Postgres log lines are stored in the message and statement values of the json we need to extract the logs first. The most convenient tool for the job is jq which you can install using the following command on Ubuntu:
\nsudo apt-get install jq -y\n
Once jq is installed we need to extract Postgres log from json file and save it in another file (PTH1.log in this example):
\njq -r '.properties | .message + .statement' PT1H.json > PT1H.log\n
Finally we are ready to generate pgBadger report:
\npgbadger --prefix='%t %p %l-1 db-%d,user-%u,app-%a,client-%h ' PT1H.log -o pgbadgerReport.html\n
Now you can download your report either from Azure Portal - your storage account or by using scp command:
\n\n
\n
\n
Happy Troubleshooting!
\n\n
\n
","body@stringLength":"17720","rawBody":"
PgBadger is one of the most comprehensive Postgres troubleshooting tools available. It allows users to have insight into a wide variety of events happening in the database including:
\n\n
You can see a sample pgBadger report here.
\n\n
You can generate a pgBadger report from Azure Database for PostgreSQL Flexible Server in multiple ways:
\n*Coming soon!
\n\n
In this article we will describe the first solution - Using Diagnostic Settings and redirecting logs to a storage account. At the end of exercise we will have storage account filled with the logs from Postgres Flexible Server and a operational VM with direct access to the logs stored in the storage account like shown below in the picture:
\n\n
\n
To be able to generate the report you need to configure the following items:
\n\n
Navigate to the Server Parameters blade in the portal and modify the following parameters:
\n\n
log_line_prefix = '%t %p %l-1 db-%d,user-%u,app-%a,client-%h ' #Please mind the space at the end!\n
log_lock_waits = on
log_temp_files = 0
log_autovacuum_min_duration = 0
log_min_duration_statement=0 # 0 is recommended only for test purposes, for production usage please consider much higher value, like 60000 (1 minute) to avoid excessive usage of resources
After the change hit the “Save”:
\n\n
Please keep in mind that the storage account needs to be created in the same region as Azure Database for PostgreSQL Flexible Server. Please find the instruction here.
\n\n
In this blog post we will use Ubuntu 20.04 as an example, but nothing stops you from using rpm-based system, the only difference will be in a way that BlobFuse and pgBadger is installed.
\n\n
Navigate to Diagnostic settings page in the Azure Portal, Azure Database for PostgreSQL Flexible Server instance and add a new diagnostic setting with storage account as a destination:
\n\n
\n
Hit save button.
\n\n
In this section you will mount storage account to your VM using BlobFuse. This way you will see the logs on the storage account as standard files in your VM. First let’s download and install necessary packages. Commands for Ubuntu 20.04 are as follows (feel free to simply copy and paste the following commands):
\nwget https://packages.microsoft.com/config/ubuntu/20.04/packages-microsoft-prod.deb\n
sudo dpkg -i packages-microsoft-prod.deb
sudo apt-get update -y
For other distributions please follow the official documentation.
\n\n
The following example creates a ramdisk of 16 GB and a directory for BlobFuse. Choose the size based on your needs. This ramdisk allows BlobFuse to open files up to 16 GB in size.
\nsudo mkdir /mnt/ramdisk\nsudo mount -t tmpfs -o size=16g tmpfs /mnt/ramdisk\nsudo mkdir /mnt/ramdisk/blobfusetmp\nsudo chown <your VM admin> /mnt/ramdisk/blobfusetmpYou can authorize access to your storage account by using the account access key, a shared access signature, a managed identity, or a service principal. Authorization information can be provided on the command line, in a config file, or in environment variables. For details, see Valid authentication setups in the BlobFuse readme.
\nFor example, suppose you are authorizing with the account access keys and storing them in a config file. The config file should have the following format:
\naccountName myaccount\naccountKey storageaccesskey\ncontainerName insights-logs-postgresqllogs\n
Please prepare the following file in editor of your choice. Values for the accountName and accountKey you will find in the Azure Portal and the container name is the same as in the example above. The accountName is the name of your storage account, and not the full URL.
\nPlease navigate to your storage account in the portal and then choose Access keys page:
\nCopy accountName and accountKey and paste it to the file. Copy the content of your file and paste it to the fuse_connection.cfg file in your home directory, then mount your storage account container onto the directory in your VM:
\nvi fuse_connection.cfg\nchmod 600 fuse_connection.cfg\nmkdir ~/mycontainer\nsudo blobfuse ~/mycontainer --tmp-path=/mnt/resource/blobfusetmp --config-file=/home/<your VM admin>/fuse_connection.cfg -o attr_timeout=240 -o entry_timeout=240 -o negative_timeout=120\n\nsudo -i\ncd /home/<your VM admin>/mycontainer/\nls # check if you see container mounted \n# Please use tab key for directory autocompletion; do not copy and paste!\ncd resourceId\\=/SUBSCRIPTIONS/<your subscription id>/RESOURCEGROUPS/PG-WORKSHOP/PROVIDERS/MICROSOFT.DBFORPOSTGRESQL/FLEXIBLESERVERS/PSQLFLEXIKHLYQLERJGTM/y\\=2022/m\\=06/d\\=16/h\\=09/m\\=00/\nhead PT1H.json # to check if file is not emptyAt this point you should be able to see some logs being generated.
\n\n
Now we need to install pgBadger tool on the VM. For Ubuntu please simply use the command below:
\nsudo apt-get install -y pgbadgerFor other distributions please follow the official documentation.
\n\n
Choose the file you want to generate pgBadger from and go to the directory where the chosen PT1H.json file is stored, for instance, to generate a report from 2022-05-23, 9 o'clock you need to go to the following directory:
\ncd /home/pgadmin/mycontainer/resourceId=/SUBSCRIPTIONS/***/RESOURCEGROUPS/PG-WORKSHOP/PROVIDERS/MICROSOFT.DBFORPOSTGRESQL/FLEXIBLESERVERS/PSQLFLEXIKHLYQLERJGTM/y=2022/m=05/d=23/h=09/m=00\nSince PT1H.json file is a json file and the Postgres log lines are stored in the message and statement values of the json we need to extract the logs first. The most convenient tool for the job is jq which you can install using the following command on Ubuntu:
\nsudo apt-get install jq -y\n
Once jq is installed we need to extract Postgres log from json file and save it in another file (PTH1.log in this example):
\njq -r '.properties | .message + .statement' PT1H.json > PT1H.log\n
Finally we are ready to generate pgBadger report:
\npgbadger --prefix='%t %p %l-1 db-%d,user-%u,app-%a,client-%h ' PT1H.log -o pgbadgerReport.html\n
Now you can download your report either from Azure Portal - your storage account or by using scp command:
\n\n
\n
Happy Troubleshooting!
\n\n
\n
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Configuring pgBadger report generation for your Flexible Server.
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PostgreSQL Flexible Server","moderationData":{"__ref":"ModerationData:moderation_data:3766233"},"body":"of course MarcelPils !
","body@stripHtml({\"removeProcessingText\":false,\"removeSpoilerMarkup\":false,\"removeTocMarkup\":false,\"truncateLength\":200})@stringLength":"34","kudosSumWeight":0,"repliesCount":0,"postTime":"2023-03-13T03:02:53.921-07:00","lastPublishTime":"2023-03-13T03:02:53.921-07:00","metrics":{"__typename":"MessageMetrics","views":2814},"visibilityScope":"PUBLIC","placeholder":false,"originalMessageForPlaceholder":null,"entityType":"BLOG_REPLY","eventPath":"category:AzureDatabases/category:products-services/category:communities/community:gxcuf89792board:ADforPostgreSQL/message:3756328/message:3766233","replies":{"__typename":"MessageConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[]},"customFields":[],"attachments":{"__typename":"AttachmentConnection","edges":[],"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"Rank:rank:37":{"__typename":"Rank","id":"rank:37","position":18,"name":"Copper Contributor","color":"333333","icon":null,"rankStyle":"TEXT"},"User:user:1769372":{"__typename":"User","id":"user:1769372","uid":1769372,"login":"MarcelPils","biography":null,"registrationData":{"__typename":"RegistrationData","status":null,"registrationTime":"2023-03-09T00:54:34.192-08:00"},"deleted":false,"email":"","avatar":{"__typename":"UserAvatar","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/m_assets/avatars/default/avatar-1.svg?time=0"},"rank":{"__ref":"Rank:rank:37"},"entityType":"USER","eventPath":"community:gxcuf89792/user:1769372"},"ModerationData:moderation_data:3766166":{"__typename":"ModerationData","id":"moderation_data:3766166","status":"APPROVED","rejectReason":null,"isReportedAbuse":false,"rejectUser":null,"rejectTime":null,"rejectActorType":null},"BlogReplyMessage:message:3766166":{"__typename":"BlogReplyMessage","author":{"__ref":"User:user:1769372"},"id":"message:3766166","revisionNum":1,"uid":3766166,"depth":1,"hasGivenKudo":false,"subscribed":false,"board":{"__ref":"Blog:board:ADforPostgreSQL"},"parent":{"__ref":"BlogTopicMessage:message:3756328"},"conversation":{"__ref":"Conversation:conversation:3756328"},"subject":"Re: How to generate pgBadger report from Azure Database for PostgreSQL Flexible Server","moderationData":{"__ref":"ModerationData:moderation_data:3766166"},"body":"
\"I'm happy to do that.\" .. that's really great!
Can you please send a message if you did that. I'm very interested to know more details about it.
Thanks a lot,
Marcel
Hi MarcelPils, I'm glad that you liked it!
\n\n
\"Can you please wrote a post about option \" 3. Using Diagnostic Settings and redirecting logs to Log Analytics workspace.\"?\"
\nI'm happy to do that.
\n\n
\"And do you now something about roadmap / private or preview release schedule for \"plain Server Logs\" feature?\"
\nIt will be announced soon.
","body@stripHtml({\"removeProcessingText\":false,\"removeSpoilerMarkup\":false,\"removeTocMarkup\":false,\"truncateLength\":200})@stringLength":"213","kudosSumWeight":1,"repliesCount":0,"postTime":"2023-03-12T05:18:08.896-07:00","lastPublishTime":"2023-03-12T05:18:08.896-07:00","metrics":{"__typename":"MessageMetrics","views":2792},"visibilityScope":"PUBLIC","placeholder":false,"originalMessageForPlaceholder":null,"entityType":"BLOG_REPLY","eventPath":"category:AzureDatabases/category:products-services/category:communities/community:gxcuf89792board:ADforPostgreSQL/message:3756328/message:3765804","replies":{"__typename":"MessageConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[]},"customFields":[],"attachments":{"__typename":"AttachmentConnection","edges":[],"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"ModerationData:moderation_data:3763393":{"__typename":"ModerationData","id":"moderation_data:3763393","status":"APPROVED","rejectReason":null,"isReportedAbuse":false,"rejectUser":null,"rejectTime":null,"rejectActorType":null},"BlogReplyMessage:message:3763393":{"__typename":"BlogReplyMessage","author":{"__ref":"User:user:1769372"},"id":"message:3763393","revisionNum":1,"uid":3763393,"depth":1,"hasGivenKudo":false,"subscribed":false,"board":{"__ref":"Blog:board:ADforPostgreSQL"},"parent":{"__ref":"BlogTopicMessage:message:3756328"},"conversation":{"__ref":"Conversation:conversation:3756328"},"subject":"Re: How to generate pgBadger report from Azure Database for PostgreSQL Flexible Server","moderationData":{"__ref":"ModerationData:moderation_data:3763393"},"body":"Hello AlicjaKucharczyk,
thanks a lot for this blog post.
Can you please wrote a post about option \" 3. Using Diagnostic Settings and redirecting logs to Log Analytics workspace.\"?
I use this way already as a source for my Azure workbooks.
But i do not know how can i generate a pgBadger reports based on Log Analytics workspace content.
And do you now something about roadmap / private or preview release schedule for \"plain Server Logs\" feature?
Where can i find more information about this?
Thanks a lot for your feedback.
Best regards,
Marcel.
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