Archive

Archive for the ‘SQL Server 2019’ Category

SQL Server 2019 released, awesome new features – download now !!!

November 4, 2019 Leave a comment

 
Today on 4th November 2019 Microsoft in MSIgnite2019 event announced the release of new version of SQL Server i.e. SQL Server 2019.
 

New stuff in SQL Server 2019 is all about Big Data Clusters for SQL Server, which will allow you to:
– Deploy scalable clusters of SQL Server, Spark, HDFS on Kubernetes
– Read, write, and process big data from Transact-SQL or Spark
– With Polybase query data from external SQL Server, Oracle, Teradata, MongoDB, and ODBC data sources with external tables
– and many more, we will check below…

 
–> Download SQL Server (evaluation version):

To download SQL Server 2019 you can Register and Download the Full or Evaluation version (180 days) here.

Or you can directly download the installer SQL2019-SSEI-Eval.exe
 

–> Free Developer Version:

Back in March 2016 Microsoft announced that going forward the Developer version of SQL Server any release will be free for Developers and Learning purpose. Register and Download the Developer version.

This Developer version is meant for development and testing only, and not for production environments or for use with production data. For more info please check my previous blog post.
 

–> Download SSMS (separate install):

Microsoft starting with SQL Server 2016 decoupled SSMS from SQL Server setup and is available as a separate installer. This is basically to support the move to make a universal version of SSMS for both SQL Server on-Prem & Azure SQL Database, that will ship every month or so. The SSMS setup is available separately as free download.
 

–> Download SSRS (Reporting Services):

Just like SSMS, now SSRS is also separately available for install from Microsoft Download Center, link.
 

–> Check new features in SQL Server 2019:

1. Big data clusters with scalable compute and storage composed of SQL Server, Spark, and HDFS. It provides key elements of a data lake – Hadoop Distributed File System (HDFS), Spark, and analytics tools deeply integrated with SQL Server. [more info]

2. A complete Data Science & AI platform to train and operationalize models in SQL Server ML Services or Spark ML using Azure Data Studio notebooks.

3. Data virtualization allows queries across relational and non-relational data without movement or replication. PolyBase enabled you to run a T-SQL query inside SQL Server to pull data from Hadoop and return it in a structured format—all without moving or copying the data.

4. Intelligent Query Processing improves scaling of queries and Automatic Plan Correction resolves performance problems. [more info]
  – Table variable deferred compilation
  – Batch mode on row store
  – T-SQL Scalar UDF inlining
  – Approximate QP (Approximate COUNT DISTINCT)
  – Memory grant feedback, row mode

5. In-memory improvements for analytics on operational data using HTAP. Higher concurrency and scale through persistent memory (PMEM). [more info]
– Hybrid buffer pool
– Memory-optimized TempDB
– In-Memory OLTP support for Database Snapshots

6. Greater uptime with more online indexing operations. [more info]

7. Data Discovery & Classification labeling for GDPR and Vulnerability Assessment tool to track compliance.

8. Support for your choice of Windows, Linux, and containers. SQL Server on Linux for Docker Engine [link].

9. High Availability with, five synchronous replica pairs, Secondary to primary replica connection redirection, Run Always On availability groups on containers using Kubernetes. [more info]

10. Accelerated Database Recovery [more info]

11. SQL Graph enhancements, support of MATCH predicates in a MERGE statement, SHORTEST_PATH inside MATCH, and support for derived tables or view aliases in graph match query.
 

Check all the above and many more new features of SQL Server 2019 in MSDN Blogs.


SQL Server 2019 initial “Community Technology Preview” is out – download and check the CTP 2.0 release now !

September 24, 2018 2 comments

 
Today on 24th September 2018 Microsoft announced the released of first CTP version of SQL Server vNext i.e. SQL Server 2019 CTP 2.0.
 

SQL Server 2016 & 2017 brought Machine Learning feature by adding R and Python support for Data Analytics and Scientists.

And now SQL Server 2019 has added Big Data capabilities under a unified platform by adding support for Apache Spark and HDFS, providing support for managing and querying unstructured data with structured/relational data.

Thus giving you an out-of-box end-to-end hybrid data platform with different types of workloads like OLTP, OLAP, DW/BI, Advance Analytics, Big Data and ML & AI on your data.

 
And just like the previous SQL Server 2017 the new SQL Server 2019 version will also run both on Windows & Linux.
 

Download SQL Server 2019 CTP bits:

To download the SQL Server 2019 you can Register and Download the Free evaluation version (180 days).

Or, directly download the web installer EXE (~3.7 MB): SQLServerVNext-SSEI-Eval.exe
 

Check version and SQL build:

select @@version

Microsoft SQL Server vNext (CTP2.0) – 15.0.1000.34 (X64)
Sep 18 2018 02:32:04
Copyright (C) 2018 Microsoft Corporation
Enterprise Evaluation Edition (64-bit) on Windows 10 Enterprise 10.0 (Build 16299: ) (Hypervisor)

 

New Features & Enhancements:

1. Deploy Big Data clusters with SQL Server & Spark by leveraging Polybase [more info]

2. Build and rebuild CCI online (Clustered ColumnStore Indexes)

3. Resumable online index create operation to pause and resume later from where the operation was paused or failed, instead of restarting from the beginning.

4. Row mode memory grant feedback

5. Approximate COUNT DISTINCT (for big data scenarios)

6. Batch mode on RowStore without ColumnStore index

7. Table variable deferred compilation (for better cardinality estimates)

8. New DMV sys.dm_db_page_info system function returns page information

9. Database scoped default setting for online and resumable DDL operations (ELEVATE_ONLINE or ELEVATE_RESUMABLE)

10. Always On Availability Groups – upto 5 synchronous replicas (3 till now)

11. New Polybase connectors or SQL Server, Oracle, Teradata, and MongoDB

12. Support for MERGE DML and Edge Constraints in SQL Graph

13. Expanded support for persistent memory devices (by bypassing the storage stack of the operating system using efficient memcpy operations)

14. SQL Data Discovery and Classification [more info]

… and many more, I’ll discuss about these features in my coming posts.
 

Feature Selection Page:

References:

>> SQL Server 2019 official Page

>> MSDN Blog announcement

>> Docs for SQL Server 2019