Will Technology Eliminate Your Tech Job?

Published on: 2017-04-11

This post is a response to this month’s T-SQL Tuesday prompt. T-SQL Tuesday was created by Adam Machanic and is a way for SQL users to share ideas about interesting topics. This month’s topic is The Times They Are A-Changing.


I think everyone’s had the same fear at some point in their career: “Am I going to lose my job because of X?” X can be a variety of things — company reorganizations, positions being outsourced, robotic automation, new software advancements, etc…

I think the answer to this question depends 100% on the type of individual you are and nothing to do with what your job actually is (was).

Being a Linchpin

Seth Godin discusses the concept of a Linchpin in his same-titled book. A Linchpin is someone who is so good at what they do that they become indispensable to their organization. Linchpins are the kind of people who are self-motivated and are able to consistently deliver quality work. They are integral to the operation of a business, even if they don’t get all of the glamour of having VP or Director in their title.

And why are Linchpins always guaranteed jobs? In one scenario, Linchpins will outgrow their role and be promoted or find a better job. They are always learning and growing in addition to delivering, and so this is the natural procession. In the alternate scenario, if the Linchpin has to lose his or her current job (ie. think company buyouts where entire departments close), they will either 1) become promoted to elsewhere in the company because management recognizes their great skills or 2) they will have no problem finding work elsewhere, especially with great recommendations from their former employer.

The Cloud, SaaS, PaaS, and other technologies

The past few years have seen many new technologies come into the SQL professional’s workspace. Administrators now have the ability to manage their server instances online in the cloud and use new features and functionality that weren’t previously available in local-network only instances. Developers also have new tools to interact with cloud instance, but also have totally new functionality available to them from a variety of online services.

As of now, I think most of these new advancements augment our current technology instead of replace it. I think this means that some professionals will choose to not learn about them or how to use them. And it’s really easy to justify not learning them — it can be hard for some to find the time to learn something that they can’t immediately use.

However, some professionals will be excited and will learn about these new technologies. Even if their environments don’t need to use cloud platforms and other new features, they will find small areas in their environment that can use these technologies so they start getting experience using them. Worst case, even if it’s not possible to modify something existing with these new tools, these professionals will create sandboxes for themselves and learn to use some of these technologies anyway. By doing this, they will be more confident in using these tools when the time necessitates that they be used.

When it’s time to be promoted or to switch jobs, which of the two professionals is more likely to get hired — the one who knows only his or her old technology really well, or the professional who has taken the time to learn these new features even if they didn’t have to use them in their old environment?

Is my role of business intelligence developer going to disappear?

I’m a professional learner. Officially I’m a business intelligence developer, but unofficially I also am a web developer, manager, DBA, and electrical engineer. I don’t pretend that I am an expert in all of those unofficial capacities (or even the official one!), but I do continually try to improve myself in all of those roles.

Do I worry about having new technologies replace my current job role? No. I do think the tools I use today will be outdated and replaced at some point in the future though.

I imagine some future version of SSRS will be able to generate the majority of the reporting needed for my database based off metadata. Data will continue to evolve and live in environments other than just SQL Server, making my need for SSIS less important — I’ll have to learn other ways to transform data, whether through C#, Python, some cloud querying tool, or all of the above. I’ll have to get used to not only using data from databases and flat files, but also mixing in data from APIs and cloud storage. Some of this data will be relational but a lot of it will not.

And all of that sounds exciting! Learning new ways of working with data is a thrill because it means I won’t get bored working on the same thing year after year. Sure, 10 years from now new technologies will replace my current job — fortunately for me though, by that point I’ll be working with those new technologies.

Thanks for reading. You might also enjoy following me on Twitter.

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[Video] JSON Usage and Performance in SQL Server 2016

Published on: 2017-04-05

Using JSON because you are lazy is not a good excuse!

Last night I had the privilege to present to the Ohio North SQL Server User Group about JSON in SQL Server 2016. There was a great crowd present (they laughed at all of my terrible jokes so how can they not be great!?) and I had a wonderful time sharing what I know about JSON.

Below you can find my video recording of the presentation as well as the slides and demo code.

Also worth highlighting is OnTopReplica, an open source piece of software I used that basically does picture-in-picture display of another window on your desktop. You can hear everyone get excited by it at 18 minutes and 30 seconds into the video.

Enjoy the resources below :). These as well as resources from other past presentations are available at https://bertwagner.com/presentations/ .

Video

Slides

Demo Scripts

https://bertwagner.com/presentations/JSON%20in%20SQL%20Server%202016%20-%20Bert%20Wagner.zip

Thanks for reading. You might also enjoy following me on Twitter.

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Who Stuck These Letters In My DateTimes?

Published on: 2017-03-28

How to handle JSON DateTimes in SQL Server 2016

Parsing, creating, and modifying JSON in SQL Server 2016 is really easy. JSON dates and times are not.

Coming from a predominantly SQL background, the JSON DateTime format took some getting used to, especially when it came to converting SQL datetimes to JSON and vice versa.

The remainder of this post will get you well on your way to working with JSON date times in SQL Server.

Breakdown of JSON date/time

In SQL Server, datetime2’s format is defined as follows:

YYYY-MM-DD hh:mm:ss[.fractional seconds]

JSON date time strings are defined like:

YYYY-MM-DDTHH:mm:ss.sssZ

Honestly, they look pretty similar. However, there are few key differences:

  • JSON separates the date and time portion of the string with the letter T
  • The Z is optional and indicates that the datetime is in UTC (if the Z is left off, JavaScript defaults to UTC). You can also specify a different timezone by replacing the Z with a + or  along with HH:mm (ie. -05:00 for Eastern Standard Time)
  • The precision of SQL’s datetime2 goes out to 7 decimal places, in JSON and JavaScript it only goes out to 3 places, so truncation may occur.

Now that we know the key differences between SQL datetime2 and JSON date time strings, let’s explore common transformations when working with JSON data in SQL.

Parsing JSON date time into SQL datetime2

The most common operation I perform with these new JSON functions is parsing, so let’s start with those. Let’s see how we can parse the date/times from JSON using SQL Server 2016’s JSON_VALUE() function:

DECLARE @jsonData nvarchar(max) = N'{ "createDate" : "2017-03-28T12:45:00.000Z" }'

-- SQL's JSON_VALUE() will read in the JSON date time as a string
SELECT JSON_VALUE(@jsonData, '$.createDate')
-- Output: 2017-03-28T12:45:00Z

-- If we want to read it in as a SQL datetime2, we need to use a CONVERT() (or a CAST())
SELECT CONVERT(datetime2, JSON_VALUE(@jsonData, '$.createDate'))
-- Output: 2017-03-28 12:45:00.0000000

-- 7 zeroes after the decimal? Our source only had 3 zeroes!
-- Since JSON/JavaScript times have decimal precision to only 3 places, we need to make
-- the precision of datetime2 match
SELECT CONVERT(datetime2(3), JSON_VALUE(@jsonData, '$.createDate'))
-- Output: 2017-03-28 12:45:00.000

-- So now we are returning our UTC date time from JSON, but what if we need to convert it to a different time zone?
-- Using SQL Server 2016's AT TIME ZONE with CONVERT() will allow us to do that easily.
-- To get a full list of time zone names, you can use SELECT * FROM sys.time_zone_info
SELECT CONVERT(datetime2(3), JSON_VALUE(@jsonData, '$.createDate')) AT TIME ZONE 'Eastern Standard Time'
-- Output: 2017-03-28 12:45:00.000 -04:00

-- What if we just need to grab the date?  Pretty easy, just CONVERT() to date
SELECT CONVERT(date, JSON_VALUE(@jsonData, '$.createDate'))
-- Output: 2017-03-28

--Same with just the time, just remember to use a precision value of 3
SELECT CONVERT(time(3), JSON_VALUE(@jsonData, '$.createDate'))
-- Output: 12:45:00.000

Inserting SQL datetime2 into JSON

Taking date/time data out of JSON and into SQL was pretty easy. What about going the opposite direction and inserting SQL date/time data into JSON?

DECLARE @sqlData datetime2 = '2017-03-28 12:45:00.1234567'

-- Let's first try the simplest SQL to JSON conversion first using FOR JSON PATH
SELECT @sqlData as SQLDateTime2 FOR JSON PATH
-- Output: [{"SQLDateTime2":"2017-03-28T12:45:00"}]

-- Honestly that's not too bad!
-- The datetime gets created in the YYYY-MM-DDTHH:MM:SS.fffffff format
-- Although this is pretty much what we need, what if we want to be explicit and specify that we are in UTC?
-- Just add the AT TIME ZONE modifier and we will get our JSON "Z" indicating UTC
SELECT @sqlData AT TIME ZONE 'UTC' AS SQLDateTime2 FOR JSON PATH
-- Output: [{"SQLDateTime2":"2017-03-28T12:45:00.1234567Z"}]

-- And if we provide a different time zone offset, the JSON is formatted correctly with the +/-HH:MM suffix:
SELECT @sqlData AT TIME ZONE 'Eastern Standard Time' AS SQLDateTime2 FOR JSON PATH
-- Output: [{"SQLDateTime2":"2017-03-28T12:45:00.1234567-04:00"}]

-- You might notice that there are 7 fractional second decimal places in all of the above examples.
-- Although out of JSON spec, this is ok!

-- What if we just want to insert the date?  Just specify with a SQL CONVERT()
SELECT CONVERT(date, @sqlData) as SQLDateTime2 FOR JSON PATH
-- Output: [{"SQLDateTime2":"2017-03-28"}]

-- And the same goes with the time portion
SELECT CONVERT(time, @sqlData) as SQLDateTime2 FOR JSON PATH
-- Output: [{"SQLDateTime2":"12:45:00.1234567"}]

Modifying JSON date time with SQL

So we’ve seen how easy it is to parse and create JSON date/time strings, but what about modifying JSON data?

DECLARE @sqlDate datetime2 = '2017-03-28 12:45:00.1234567'

 

DECLARE @jsonData nvarchar(max) = N'{ "createDate" : "2017-03-28T12:45:00.000Z" }'
		,@newDate datetime2(3) = '2017-03-28T12:48:00.123Z'

-- Let's start out modifying our data by replacing the value completely
SELECT JSON_VALUE(@jsonData, '$.createDate')

-- If we want to pass in a perfectly formatted JSON string, then it's pretty easy
SELECT JSON_MODIFY(@jsonData, '$.createDate', '2017-03-28T12:48:00.123Z')
-- Output: { "createDate" : "2017-03-28T12:48:00.123Z" }

-- If we want to pass in a SQL datetime2 value, say like what we have stored in @newDate, then things get a little messy.
-- The JSON_MODIFY function requires the third argument to be the nvarchar datatype.  This means
-- we need to get our SQL datetime2 into a valid JSON string first.  

-- If we use FOR JSON PATH to create the JSON date from the SQL datetime2, things get ugly because 
-- FOR JSON PATH always creates a property : value combination
SELECT JSON_MODIFY(@jsonData, '$.createDate', (SELECT @newDate as newDate FOR JSON PATH))
-- Output: { "createDate" : [{"newDate":"2017-03-28T12:48:00.123"}] }

-- In order to only pass the JSON datetime into the value for the "createDate" property, we need to 
-- use the CONVERT style number 127 to convert our dateTime to a JSON format
SELECT JSON_MODIFY(@jsonData, '$.createDate', (SELECT CONVERT(nvarchar, @newDate, 127)))
-- Output: { "createDate" : "2017-03-28T12:48:00.123" }

-- But what happened to our "Z" indicating UTC?  
-- We of course need to specify the AT TIME ZONE again:
SELECT JSON_MODIFY(@jsonData, '$.createDate', (SELECT CONVERT(nvarchar, @newDate AT TIME ZONE 'UTC', 127)))
--Output: { "createDate" : "2017-03-28T12:48:00.123Z" }

Overall, working with JSON dates/times is really easy using SQL Server 2016’s new JSON functions. Microsoft could have done a really bad job not following the ECMA standards, but they did a great job crossing their T‘s and placing their Z‘s.

Thanks for reading. You might also enjoy following me on Twitter.

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