Convert Mssql Database To Postgresql

[Raelene]

Ihave a PostgreSQL database that I want to move to SQL Server -- both schema and data. I am poor so I don't want to pay any money. I am also lazy, so I don't want to do very much work. Currently I'm doing this table by table, and there are about 100 tables to do. This is extremely tedious.

Edit this file to add the line BEGIN TRANSACTION; to the beginning and ROLLBACK TRANSACTION; to the end. Now you can load it and run it in a query window in SQL Server. If you get any errors, make sure you go to the bottom of the file, highlight the ROLLBACK statement and run it (by hitting F5 while the statement is highlighted).

Unfortunately, I cannot help with which errors you may see as I have never gone from PostgreSQL to SQL Server, only the other way around. Some things that I would expect to be an issue, however (obviously, NOT an exhaustive list):

A couple of things of note that I encountered. Postgres and SQL Server handle boolean fields differently. Your SQL Server schema need to have your boolean fields set to varchar(1) and the resulting data will be 'f', 't' or null. You will then have to convert this field to a bit. doing something like:

EDIT. So whereas this technique does technically work, I am trying to transfer several million records from 100+ tables to SQL Azure and bcp to SQL Azure is pretty flaky it turns out. I keep getting intermittent Unable to open BCP host data-file errors, the server is intermittently timing out and for some reason some records are not getting transferred with no indications of errors or problems. So this technique is not stable for transferring large amounts of data to Azure SQL.

You can use the SQL Server to PostgreSQL extension pack in AWS SCT. This extension pack emulates SQL Server database functions in the converted PostgreSQL code. Use the SQL Server to PostgreSQL extension pack to emulate SQL Server Agent and SQL Server Database Mail. For more information about extension packs, see Using extension packs with AWS Schema Conversion Tool.

In PostgreSQL, only the schema owner or a superuser can drop a schema. The owner can drop a schema and all objects that this schema includes even if the owner of the schema doesn't own some of its objects.

When you use different users to convert and apply different schemas to your target database, you can get an error message when AWS SCT can't drop a schema. To avoid this error message, use the superuser role.

For Add comments in the converted code for the action items of selected severity and higher, choose the severity of action items. AWS SCT adds comments in the converted code for action items of the selected severity and higher.

PostgreSQL version 10 and earlier doesn't support procedures. For customers who aren't familiar with using procedures in PostgreSQL, AWS SCT can convert procedures to functions. To do so, select Convert procedures to functions.

Your source SQL Server database can store the output of EXEC in a table. AWS SCT creates temporary tables and an additional procedure to emulate this feature. To use this emulation, select Create additional routines for handling open datasets.

To avoid conversion of object names to lower case, select Avoid casting to lower case for case sensitive operations. This option applies only when you turn on case sensitivity option in your target database.

When you convert a Microsoft SQL Server database to Amazon Aurora PostgreSQL-Compatible Edition (Aurora PostgreSQL) or Amazon Relational Database Service for PostgreSQL (Amazon RDS for PostgreSQL), be aware of the following.

SQL Server allows you to create primary and unique keys for partitioned tables. For PostgreSQL, you create primary or unique keys for each partition directly. Thus, PRIMARY or UNIQUE KEY constraint must be removed from their parent table when migrating to PostgreSQL. The resulting key names take the format _.

SQL Server allows you to create indexes for partitioned tables. For PostgreSQL, an index should be created for each partition directly. Thus, indexes must be removed from their parent tables when migrating to PostgreSQL. The resulting index names take the format _.

A GOTO statement and a label can be used to change the order that statements are run in. Any Transact-SQL statements that follow a GOTO statement are skipped and processing continues at the label. GOTO statements and labels can be used anywhere within a procedure, batch, or statement block. GOTO statements can also be nested.

SQL Server automatically creates and manages deleted and inserted tables. You can use these temporary, memory-resident tables to test the effects of certain data modifications and to set conditions for DML trigger actions. AWS SCT can convert the usage of these tables inside DML trigger statements.

PATINDEX returns the starting position of the first occurrence of a pattern in a specified expression on all valid text and character data types. It returns zeros if the pattern is not found. When converting from SQL Server to Amazon RDS for PostgreSQL, AWS SCT replaces application code that uses PATINDEX with aws_sqlserver_ext.patindex(, ) .

In SQL Server, a user-defined table type is a type that represents the definition of a table structure. You use a user-defined table type to declare table-value parameters for stored procedures or functions. You can also use a user-defined table type to declare table variables that you want to use in a batch or in the body of a stored procedure or function. AWS SCT emulated this type in PostgreSQL by creating a temporary table.

This script won't work properly if there are tab characters in text columns, though the call to mdb-export could be modified to export INSERT statements to fix this. Also, mdb-schema has trouble representing multi-column foreign keys, so foreignkeys.sql may need some manual editing.

Ispirer Toolkit automatically migrates the entire database schema (tables, views, stored procedures, functions, triggers, etc.) and transfers data from MySQL to PostgreSQL. A free demo of Ispirer Toolkit is available.

SQLWays Toolkit is an easy-to-use database migration tool for migration of the entire database schema, SQL objects, tables, and data between the most popular databases. The tool is available as a free online converter and provides a free demo license.

pgloader supports full migration of the database schema and data from a single command line and provides a command language for more complex or specific scenarios. It is still fully supported: please report any bugs on its GitHub page. It appears in the 2013 section here because that's when it has been published first.

How to migrate database from SQL Server to PostgreSQL[Validate Migration] [Types] [Queries] [Triggers]Microsoft SQL is one of the world's most popular database management systems with user-friendly interface that is easy to learn and use. However, it has certain disadvantages such as high cost of ownership for large databases and strict licensing policy. These facts may lead some users to the need of shifting from MS SQL to another DBMS. Why PostgreSQL?When planning a database migration, it is reasonable to review open-source systems in order to reduce total cost of ownership. There are two major open-source RDBMS: MySQL and PostgreSQL. MySQL provides a lot of features that are expected from advanced RDBMS such as security, scalability, wide range of supported storage types for different purposes. However, it does not implement the full SQL standard, does not provide full text search and has poor support for concurrent writes in some database engines. PostgreSQL is a very powerful standards-compliant RDBMS providing integral object-oriented and/or relational database functionality. This all make it the best choice for projects that require high level of reliability and data integrity.SQL Server to PostgreSQL Migration StepsHere is the sequence of steps to migrate a database from SQL Server to PostgreSQL: export table definitions from the source SQL database convert them into PostgreSQL format load the resulting statements to PostgreSQL server export MS SQL data into intermediate storage convert it into PostgreSQL format and load into the target databaseNow let's consider these steps more closely. This is how you can export SQL Server table definitions:in SQL Server 2008 and earlier you can script objects and data. Right-click on database in Management Studio, Tasks, Generate Scripts. Go through the wizard and make sure to check "data" which is false by default.in SQL Server 2012 and later: right-click on database in Management Studio, Tasks, Generate Scripts. On the "Set scripting options" tab click on Advanced, then select "data only", or "data and schema" for "Types of data to script" (in the General section).The resulting script must be corrected before loading to PostgreSQL as follows:remove SQL Server specific statements (i.e. "SET ANSI_NULLS ON", "SET QUOTED_IDENTIFIER ON", "SET ANSI_PADDING ON")replace square brackets around database object names by double quotesremove square brackets around typesreplace default SQL Server schema "dbo" by PostgreSQL "public"remove all non-supported optional keywords (i.e. "WITH NOCHECK", "CLUSTERED")remove all reference to filegroup (i.e. "ON PRIMARY")replace types "INT IDENTITY(...)" by "SERIAL"update all non-supported data types (i.e. "DATETIME" becomes "TIMESTAMP", "MONEY" becomes NUMERIC(19,4))replace the MS SQL query terminator "GO" with the PostgreSQL one ";"Next step is to migrate data from SQL Server to PostgreSQL. It also can be done via Microsoft SQL Management Studio: right-click on database, Tasks, Export Data. Go through the wizard and select "Microsoft OLE DB Provider for SQL Server" as data source, "Flat File Destination" as destination. After the export is completed, you can see all data exported into the specified file in comma-separated values (CSV) format. If some table contains binary data it is required to apply the workaround. Select "Write a query to specify the data to transfer" option on the wizard page called "Specify Table Copy or Query". On the next wizard page called "Provide a Source Query" you should compose SELECT-query as follows:select , , cast(master.sys.fn_varbintohexstr(cast( as varbinary(max))) as varchar(max)) as from ;Unfortunately, this approach is not applied for large binary data (1MB+) since the query goes into infinite hang. You can import the resulting CSV file into PostgreSQL table via "COPY" command:COPY FROM DELIMITER ',' CSV;If you see "Permission denied" error after running this statement, try to use "\COPY" command instead. Tools to migrate from SQL Server to PostgreSQLAs you may see, database migration from SQL Server to PostgreSQL is a complicated time-consuming process requiring a lot of efforts. Manual conversion is costly and slow process, it can lead to incorrect results and cause data loss or corruption. Fortunately, there are many free tools which can partially automate migration between those two DBMS: pgloader Sqlserver2pgsql SQL Server Integration Services (SSIS)SQL Server to PostgreSQL ConverterIn the previous section we explored the most popular free tools that can simplify SQL Server to PostgreSQL database migration. However, each of those solutions requires a lot of efforts to install prerequisites and set up configuration of the main product and supplementary tools. Customers who need to run the migration procedure with just a few clicks of mouse button should consider advanced commercial solutions being solely designed for this purpose. Intelligent Converters offer one of such solutions - SQL Server to PostgreSQL converter.This product supports all modern on-premises and cloud variations of SQL Server and PostgreSQL (Heroku, Azure, Amazon RDS, Google Cloud). It migrates schemas, sequences, data, indexes, constraints and views with all required properties and attributes. All SQL Server types are mapped into PostgreSQL equivalents, including image, xml, spatial and other complicated types. SQL Server to PostgreSQL converter achieves high performance of the database migration due to efficient low-level techniques of reading and writing data, it does not use ODBC or another middleware. It allows to customize a lot of migration rules (types mapping, use insert or copy techniques to load the data to PostgreSQL, etc) to tailor the migration right to the customer's project. Option of filtering and preprocessing the data through SELECT-queries and make the migration procedure even more flexible and customizable.For those cases when PostgreSQL does not allow direct connection, SQL Server to PostgreSQL converter can export the source database into SQL script complied with PostgreSQL. That script contains SQL statements to create all required database objects and load the data. Have questions? Contact us

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