Connecting SQL Server To Hadoop Using Polybase

I have a post up on using Polybase to create an external table which points to Hadoop:

An interesting thing about FIELD_TERMINATOR is that it can be multi-character.  MSDN uses ~|~ as a potential delimiter.  The reason you’d look at a multi-character delimiter is that not all file formats handle quoted identifiers—for example, putting quotation marks around strings that have commas in them to indicate that commas inside quotation marks are punctuation marks rather than field separators—very well.  For example, the default Hive SerDe (Serializer and Deserializer) does not handle quoted identifiers; you can easily grab a different SerDe which does offer quoted identifiers and use it instead, or you can make your delimiter something which is guaranteed not to show up in the file.

You can also set some defaults such as date format, string format, and data compression codec you’re using, but we don’t need those here.  Read the MSDN doc above if you’re interested in digging into that a bit further.

It’s a bit of a read, but the end result is that we can retrieve data from a Hadoop cluster as though it were coming from a standard SQL Server table.  This is easily my favorite feature in SQL Server 2016.

Related Posts

A Simple Example With Spark And Kafka

Gary Dusbabek has a nice example showing how to build a simple application with Spark and Kafka: This is a hands-on tutorial that can be followed along by anyone with programming experience. If your programming skills are rusty, or you are technically minded but new to programming, we have done our best to make this […]

Read More

Talking To Secure Hadoop Clusters

Mubashir Kazia shows how to connect to a secured Hadoop cluster using Active Directory: The primary form of strong authentication used on a secure cluster is Kerberos. Kerberos supports credentials delegation where a server process to which a user has authenticated, can perform actions on behalf of the user. This involves the server process accessing […]

Read More


June 2016
« May Jul »