Thursday, May 21, 2026

Foundation Phase: Migrating from On-Premises SAP ASE (Sybase ASE to SQL Server running on Azure VM

 Foundation Phase: Migrating from On-Premises SAP ASE (Sybase ASE to SQL Server running on Azure VM



PART 1 — FOUNDATION: UNDERSTANDING THE MIGRATION 


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1. Introduction — What You Are Trying to Do 


You are migrating:


* From: On-Premises SAP ASE (Sybase ASE)

* To: SQL Server running on Azure Virtual Machines (Azure VM)


This is NOT a simple upgrade.


This is a heterogeneous migration, meaning:


* Different database engines

* Different syntax (T-SQL is similar but not identical)

* Different architecture

* Very large databases (10 TB to 100 TB)

* Mission-critical workloads (downtime = serious business impact)


---


2. What Makes This Migration Difficult?


Let’s be honest — this is complex.

 

Here’s why:


2.1 Database Differences


* ASE uses **Transact-SQL (older variant)**

* SQL Server uses **modern T-SQL**

* Some features do NOT translate directly


2.2 Size Challenge


* 10TB → manageable but heavy

* 100TB → extremely large (VLDB)


This means:


* Backup/restore takes days if not optimized

* Network transfer is a bottleneck

* Storage performance matters


2.3 Mission Critical Systems


* Need **near-zero downtime**

* Need **HADR (High Availability + Disaster Recovery)**

* Need **rollback plan**


---


3. Migration Strategy (Big Picture)


You must choose the right approach.


3.1 Common Migration Methods


Option 1: Offline Migration (Simple but risky)


* Stop application

* Backup ASE

* Convert + restore to SQL Server

* Downtime: LONG


---


Option 2: Online Migration (Recommended)


* Initial load (bulk transfer)

* Continuous sync (CDC / replication)

* Final cutover (short downtime)


---


Option 3: Hybrid Approach (Best Practice)


* Bulk load large data

* Sync incremental changes

* Final cutover


---


4. Target Architecture on Azure 


You will build:


* Azure VM (Windows Server)

* SQL Server installed

* Premium SSD / Ultra Disk

* Separate disks for:


  * Data files

  * Log files

  * TempDB


---


5. Tools You Will Use 


You don’t need expensive tools to start.


5.1 Core Tools


* SQL Server Management Studio (SSMS)

* Azure Data Studio

* Azure Migrate

* Database Migration Assistant (DMA)

* Bulk Copy Program (BCP)

* SQL Server Integration Services (SSIS – optional)

* AzCopy (for large data transfer)

* PowerShell


---


6. BEFORE PHASE — Step-by-Step (Critical Phase)


This is where most failures happen.


---


STEP 1 — Full Environment Assessment


You must understand everything before moving anything.


---


6.1 Collect ASE Server Information


Run these in ASE:


```sql


sp_helpdb

go


sp_configure

go


select @@version

go

```


Capture:


* Database sizes

* Device layout

* Log sizes

* Memory configuration


---


6.2 Identify Critical Databases


Ask:


* Which DBs are 24/7?

* Which DBs can tolerate downtime?


---


6.3 Application Dependencies


You must identify:


* Applications using the DB

* Connection strings

* Jobs and batch processes


---


6.4 Performance Baseline


Capture:


* CPU usage

* Disk IO

* Query performance


This helps compare after migration.


---


STEP 2 — Compatibility Assessment


Use:


Database Migration Assistant (DMA)


What it does:


* Checks compatibility issues

* Identifies unsupported features


---


Key Issues You Will Find


* Deprecated syntax

* Stored procedures not compatible

* Data types differences


---


Example Issues


ASE:


```sql


select getdate()

```


SQL Server:


✔ same — OK


---


But:


```sql


select @@rowcount

```


Behavior may differ.


---


STEP 3 — Schema Conversion


You must convert:


* Tables

* Indexes

* Views

* Stored procedures


---


Option 1: Manual Conversion


Extract schema:


```sql


sp_helptext procedure_name

```


---


Option 2: Use Tools


* SSMA (SQL Server Migration Assistant for Sybase)


---


STEP 4 — Data Type Mapping


Important differences:


* ASE `datetime` → SQL Server `datetime2`


* ASE `text` → SQL Server `varchar(max)`


* ASE `image` → SQL Server `varbinary(max)`


---


STEP 5 — Target Azure VM Setup


---


5.1 Create Azure VM


* Windows Server 2022

* SQL Server 2022


---


5.2 Storage Design (VERY IMPORTANT)


For large DBs:


* Data disk (multiple)

* Log disk (separate)

* TempDB disk (separate)


---


5.3 Disk Layout Example


* D:\Data

* E:\Logs

* F:\TempDB


---


STEP 6 — Install SQL Server


---


Best Practices


* Use default instance OR named instance


* Enable:


  * Mixed authentication

  * Max memory setting


---


Set Max Memory


```sql


EXEC sp_configure 'max server memory (MB)', 50000

RECONFIGURE

```


---


STEP 7 — Configure SQL Server for Large Databases


---


#Enable Instant File Initialization


* Improves performance


---


Set TempDB


```sql


ALTER DATABASE tempdb 

ADD FILE (NAME = tempdev2, FILENAME = 'F:\tempdb2.ndf', SIZE = 10GB)

```


---


STEP 8 — Networking Setup


---


* Open ports (1433)

* Configure firewall

* Test connectivity


---


STEP 9 — Backup Strategy (Before Migration)


---


ASE Backup


```sql


dump database dbname to "/backup/dbname.bak"

go

```


---


Store backups safely


* Local

* Cloud (Azure Blob)


---


STEP 10 — Migration Plan (Written Plan)


You MUST document:


* Timeline

* Downtime window

* Rollback plan

* Responsible people


---


STEP 11 — Dry Run (TEST MIGRATION)


This is mandatory.


---


Steps:


1. Copy small DB

2. Convert schema

3. Load data

4. Test queries


---


STEP 12 — Risk Management


---


Common Risks


* Data loss

* Performance degradation

* Application failure


---


Mitigation


* Full backups

* Test environment

* Monitoring


---


# BEFORE PHASE CHECKLIST


Follow this exactly:


* Inventory all ASE databases

* Identify critical workloads

* Run DMA assessment

* Convert schema

* Map data types

* Build Azure VM

* Configure SQL Server

* Design storage

* Test connectivity

* Take full backups

* Create migration plan

* Perform dry run

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