I Am tring to convert by using Azure Synpase pathway but it's not working.Plz any one help me with that.
Azure Synapse Pathway is a new tool currently in preview which can look at existing ibmnetezza script attempt to convert it to MSSQL and flag up errors.
Download the tool and run it against your Netezza installation. Start here: https://learn.microsoft.com/en-us/sql/tools/synapse-pathway/azure-synapse-pathway-overview?view=azure-sqldw-latest
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Is there any way possible, to upload a SQL DB file stored locally on disk to Azure SQL Server? Its already populated with data and I'd like to use it for learning the Azure environment and creating web apps alongside it. NOTE: this is not a SQL Server DB file, its just a regular standalone db file with data populated into it.
There's a tool called Data Migration Assistant, you can download here. It's quite intuitive to use.
https://www.microsoft.com/en-us/download/details.aspx?id=53595
In SequelPro, there's a built in SQL format bundle. This bundle using a web based SQL format API, hence it requires internet connection. Is there a solution to format code locally?
You can use some script for format SQL like sqlparse.
There are some examples in related issue.
I have a query in MS Access database. I want to run this query in SQLite database. I wondering whether there is a easy way to convert the code or just change step by step?
You have several options available for viewing the contents of a sqlite database and running queries against it. When building sqlite from source you can choose to build the shell utility.
If you want something more turnkey you can install a free tool such as Sqlite Manager for Firefox or Sqlite Browser.
In both apps you can copy-and-paste your SQL that you want to execute against a SQLITE database file. Good luck!
Similar to this question only the other way of flow.
Insert Picture into SQL Server 2005 Image Field using only SQL
I need to be able to save a image field out into the file system and be able to name the file with only using SQL. I don't want to use TEXTCOPY either because I need to use the connection to the database that is running the query itself.
I'd like this to work in SQL 2005 to support older database clients but if it's available in only 2008 that's fine.
Any ideas?
With SQL 2k8 there is the new FILESTREAM type that covers such cases. Filestreams can be opened via the Win32 file access handle like any other file, but hey are integrated into the database from transaction and backup/restore point of view.
I had a similar issue in SQL 2k5 and my solution was to use a CLR stored procedure with EXTERNAL_ACCESS that was writing into the file system using C# file operations.
I don't believe there is a way to save out using only sql, but there is a command-line utility, bcp.
I want to import data from MS SQL Server, run it through some sort of regexp to filter out stuff, and import it into MySQL. I then, for each query, wish to display a relevant image from a third database. What would be the easiest way to do this, importing and linking wise?
Thank you.
Clarification: It is a php application to filter data from another database, and then for each record show an associated image from a 3rd database. It is from scratch...
You can try the MySQL Migration Toolkit.
http://dev.mysql.com/downloads/gui-tools/5.0.html
Now archived at http://downloads.mysql.com/archives.php?p=mysql-migration-toolkit
use SQL Management Studio (or Enterprise Manager depending on version) with the SQL Server import wizerd to get it into MS SQL.
From there you can export it to Mysql using the MySQL connector drivers.
As for as displaying an image from a third database, that is completely up to the code you have written in your application.
I would use the Microsoft SQL Server Data Publishing Wizard (free). You can use it to script your entire database (including insert statements.) You'll have to edit this script a little bit probably to get it to run in MySQL. Now you just have a regex problem. You can try:
Manipulating the data in MS SQL via a query, or from code (using regex) the transfer.
Running your regexes on the script file itself, maybe try some macros, find and replace, etc.
Manipulating the data in MySQL via a query, or from code (using regex) after the transfer.