Calculating Sexy Primes, Prime Triplets and Sexy Prime Triplets in SQL Server

The other day I was reading something on Hackernews and someone posted a link to a Sexy Primes wikipedia article.  I looked at that and then decided to do this in SQL Server because.. why not?

From that wikipedia link: https://en.wikipedia.org/wiki/Sexy_prime


In mathematics, sexy primes are prime numbers that differ from each other by six. For example, the numbers 5 and 11 are both sexy primes, because 11 minus 5 is 6.

The term "sexy prime" is a pun stemming from the Latin word for six: sex.

If p + 2 or p + 4 (where p is the lower prime) is also prime, then the sexy prime is part of a prime triplet.

Ok I did a couple of versions of this over the weekend,  I also did a PostgreSQL version: Calculating Sexy Primes, Prime Triplets and Sexy Prime Triplets in PostgreSQL

So first we need a table that will just have the prime numbers

I decided to populate a table with numbers from 2 till 500 and then use the sieve of Eratosthenes method to delete the non primes

This will look like this

CREATE TABLE #PrimeNumbers(n int)

INSERT INTO #PrimeNumbers
SELECT number 
FROM master..spt_values 
WHERE type = 'P'
AND number between 2 and 500

--Sieve method
DECLARE @i INT
SET @I = 2
WHILE @I <= SQRT(500)
BEGIN
    DELETE FROM #PrimeNumbers WHERE N % @I = 0 AND N > @I
    SET @I = @I + 1
END

SELECT * FROM #PrimeNumbers

Thinking about it a little more I decided to do it with a CTE instead of a loop with delete statements, if your tables will be big then the delete method is probably better... it's for you to test that out :-)

What we are doing is a NOT EXISTS query against the same cte and we are filtering out numbers that are greater than the number in the current row and are not divisible by the current number

IF OBJECT_ID('tempdb..#PrimeNumbers') IS NOT NULL
 DROP TABLE #PrimeNumbers

CREATE TABLE #PrimeNumbers(n int)

;WITH cte AS (
  SELECT number n
FROM master..spt_values 
WHERE type = 'P'
AND number between 2 and 500
), PrimeNumbers as (
SELECT n
FROM cte
WHERE NOT EXISTS (
  SELECT n FROM  cte as cte2
WHERE cte.n > cte2.n AND cte.n % cte2.n = 0)
)

INSERT #PrimeNumbers
SELECT * FROM PrimeNumbers

SELECT * FROM #PrimeNumbers

If we run that last select statement, we should have 95 rows

2
3
5
7
 .....
 .....
463
467
479
487
491
499

Now that we have our table filled with prime numbers till 500, it's time to run the queries

Sexy prime pairs
The sexy primes (sequences OEIS: A023201 and OEIS: A046117 in OEIS) below 500 are:

(5,11), (7,13), (11,17), (13,19), (17,23), (23,29), (31,37), (37,43), (41,47), (47,53), (53,59), (61,67), (67,73), (73,79), (83,89), (97,103), (101,107), (103,109), (107,113), (131,137), (151,157), (157,163), (167,173), (173,179), (191,197), (193,199), (223,229), (227,233), (233,239), (251,257), (257,263), (263,269), (271,277), (277,283), (307,313), (311,317), (331,337), (347,353), (353,359), (367,373), (373,379), (383,389), (433,439), (443,449), (457,463), (461,467).


Here is that query for the sexy prime pairs

-- 46 rows.. sexy primes
SELECT t1.N,t2.N 
 FROM #PrimeNumbers t1
join #PrimeNumbers t2 on t2.N - t1.N = 6 
order by 1

It's very simple.. a self join that returns rows where the number from one table alias and the number from the other table alias differ by 6




Prime triplets
The first prime triplets below 500 (sequence A098420 in the OEIS) are

(5, 7, 11), (7, 11, 13), (11, 13, 17), (13, 17, 19), (17, 19, 23), (37, 41, 43), (41, 43, 47), (67, 71, 73), (97, 101, 103), (101, 103, 107), (103, 107, 109), (107, 109, 113), (191, 193, 197), (193, 197, 199), (223, 227, 229), (227, 229, 233), (277, 281, 283), (307, 311, 313), (311, 313, 317), (347, 349, 353), (457, 461, 463), (461, 463, 467)

A prime triplet contains a pair of twin primes (p and p + 2, or p + 4 and p + 6), a pair of cousin primes (p and p + 4, or p + 2 and p + 6), and a pair of sexy primes (p and p + 6).

So we need to check that the 1st and 3rd number have a difference of 6, we also check that that difference between number 1 and 2 is 2 or 4.  That query looks like this

-- 22 rows.. Prime Triplets
SELECT t1.N AS N1,t2.N AS N2, t3.N AS N3
 FROM #PrimeNumbers t1
join #PrimeNumbers t2 on t2.N > t1.N 
join #PrimeNumbers t3 on t3.N - t1.N = 6
and t3.N > t2.N
and t2.n - t1.n IN (2,4)
order by 1

Sexy prime triplets
Triplets of primes (p, p + 6, p + 12) such that p + 18 is composite are called sexy prime.  p p, p+6 and p+12 are all prime, but p+18 is not

Those below 500 (sequence OEIS: A046118) are:

(7,13,19), (17,23,29), (31,37,43), (47,53,59), (67,73,79), (97,103,109), (101,107,113), (151,157,163), (167,173,179), (227,233,239), (257,263,269), (271,277,283), (347,353,359), (367,373,379)


The query looks like this.. instead of a self join, we do a triple self join, we also check that p + 18 is not a prime number in the line before the order by

-- 14 rows.. Sexy prime triplets
SELECT t1.N AS N1,t2.N AS N2, t3.N AS N3
 FROM #PrimeNumbers t1
join #PrimeNumbers t2 on t2.n - t1.n = 6
join #PrimeNumbers t3 on t3.N - t1.N = 12
and t3.N > t2.N
AND NOT EXISTS( SELECT null FROM #PrimeNumbers p WHERE p.n = t1.n +18)
order by 1

And that's it for this post.

Finding rows where the column starts or ends with a 'bad' character

A coworker came to me asking me for some help. He had some issues trying to convert some data from a staging table to numeric. I asked him to show me the data in SSMS and at first glance it looked good to me. Then I asked where the data came from, he said it came from Excel.

Aha... I have plenty of war stories with Excel so I said, it's probably some non printable character that is in the column.. either a tab (char(9)) or a non breaking space (char(160))..especially if the value was copied from the internet

He said isnumeric was returning 0 for rows that looked valid, I then told him to run this query on those rows

SELECT ASCII(LEFT(SomeColumn,1)),
 ASCII(RIGHT(SomeColumn,1)),* 
FROM StagingData s

That would give them the ascii numerical value. For example a tab is 9, linefeed =  10....

Here is a chart for the characters between 0 and 32

Binary	Oct	Dec	Hex	Abbreviation			[b]	[c]	[d]	Name (1967)
				1963	1965	1967
000 0000	000	0	00	NULL	NUL		␀	^@	\0	Null
000 0001	001	1	01	SOM	SOH		␁	^A		Start of Heading
000 0010	002	2	02	EOA	STX		␂	^B		Start of Text
000 0011	003	3	03	EOM	ETX		␃	^C		End of Text
000 0100	004	4	04	EOT			␄	^D		End of Transmission
000 0101	005	5	05	WRU	ENQ		␅	^E		Enquiry
000 0110	006	6	06	RU	ACK		␆	^F		Acknowledgement
000 0111	007	7	07	BELL	BEL		␇	^G	\a	Bell
000 1000	010	8	08	FE0	BS		␈	^H	\b	Backspace[e][f]
000 1001	011	9	09	HT/SK	HT		␉	^I	\t	Horizontal Tab[g]
000 1010	012	10	0A	LF			␊	^J	\n	Line Feed
000 1011	013	11	0B	VTAB	VT		␋	^K	\v	Vertical Tab
000 1100	014	12	0C	FF			␌	^L	\f	Form Feed
000 1101	015	13	0D	CR			␍	^M	\r	Carriage Return[h]
000 1110	016	14	0E	SO			␎	^N		Shift Out
000 1111	017	15	0F	SI			␏	^O		Shift In
001 0000	020	16	10	DC0	DLE		␐	^P		Data Link Escape
001 0001	021	17	11	DC1			␑	^Q		Device Control 1 (often XON)
001 0010	022	18	12	DC2			␒	^R		Device Control 2
001 0011	023	19	13	DC3			␓	^S		Device Control 3 (often XOFF)
001 0100	024	20	14	DC4			␔	^T		Device Control 4
001 0101	025	21	15	ERR	NAK		␕	^U		Negative Acknowledgement
001 0110	026	22	16	SYNC	SYN		␖	^V		Synchronous Idle
001 0111	027	23	17	LEM	ETB		␗	^W		End of Transmission Block
001 1000	030	24	18	S0	CAN		␘	^X		Cancel
001 1001	031	25	19	S1	EM		␙	^Y		End of Medium
001 1010	032	26	1A	S2	SS	SUB	␚	^Z		Substitute
001 1011	033	27	1B	S3	ESC		␛	^[	\e[i]	Escape[j]
001 1100	034	28	1C	S4	FS		␜	^\		File Separator
001 1101	035	29	1D	S5	GS		␝	^]		Group Separator
001 1110	036	30	1E	S6	RS		␞	^^[k]		Record Separator
001 1111	037	31	1F	S7	US		␟	^_		Unit Separator

Source: https://en.wikipedia.org/wiki/ASCII



He then ran the following to grab all the rows that ended or started with tabs

SELECT * FROM StagingData s
WHERE LEFT(SomeColumn,1)  = char(9)
OR  RIGHT(SomeColumn,1)  = char(9)

So let's take another look at this to see how we can make this a little better

Let's create a table that will hold these bad characters that we don't want, in my case ACII values 1 untill 32

Here is what we will do to create and populate the table

CREATE TABLE BadCharacters(
  BadChar char(1) NOT NULL, 
  ASCIINumber int NOT NULL,
   CONSTRAINT pk_BadCharacters 
  PRIMARY KEY CLUSTERED( BadChar )
 )

GO

INSERT BadCharacters
SELECT char(number),number
FROM master..SPT_VALUES
WHERE type = 'P'
AND number BETWEEN 1 AND 32
OR number = 160

A quick look at the data looks like this

SELECT * FROM BadCharacters

 Now let's create our staging table and insert some data so that we can do some tests

CREATE TABLE StagingData (SomeColumn varchar(255) )

INSERT StagingData
SELECT CONVERT(VARCHAR(10),s1.number) + '.' + CONVERT(VARCHAR(10),s2.number)
FROM master..SPT_VALUES s1
CROSS JOIN master..SPT_VALUES s2
WHERE s1.type = 'P'
AND s2.type = 'P'

That inserted 4194304 rows on my machine

Time to insert some of that bad data

Here is what some of the data inserted will look like

2.1
2.2
2.3
2.4
2.5
2.6
2.7
2.8

And this is the query to generated and insert those bad rows, on my machine it generated 1089 such rows

;WITH cte as(SELECT CONVERT(VARCHAR(10),number) as num
FROM master..SPT_VALUES
WHERE type = 'P'
AND number BETWEEN 1 AND 1000)

--INSERT StagingData
SELECT  b.BadChar + c1.num + '.' + c2.num + b2.BadChar
FROM cte c1
CROSS JOIN cte c2
JOIN BadCharacters b on c1.num = b.ASCIINumber
JOIN BadCharacters b2 on c2.num = b2.ASCIINumber

The query create a value by using a bad value, a number a dot a number and a bad value, you can see those values above


Now it's time to find these bad rows, but before we do that, let's add an index

CREATE INDEX ix_StagingData on StagingData(SomeColumn)

OK, we are ready...

Of course I here you saying, why don't we just do this

SELECT * FROM StagingData
WHERE TRY_CONVERT(numeric(20,10),SomeColumn) IS NULL

Well, yes that gives me everything that can't be converted to numeric, but I want to see what those characters are

Before we start, let's set statistics io on so that we can look at some performance

SET STATISTICS IO ON
GO

Here are the queries to find the bad characters at the start

SELECT * FROM StagingData s
JOIN BadCharacters b on b.BadChar = LEFT(s.SomeColumn,1)



SELECT * FROM StagingData s
JOIN BadCharacters b on s.SomeColumn like b.BadChar +'%'

Here is what the reads look like

(1089 row(s) affected)
Table 'BadCharacters'. Scan count 1, logical reads 2, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'StagingData'. Scan count 9, logical reads 10851, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

(1089 row(s) affected)
Table 'BadCharacters'. Scan count 1, logical reads 2, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'StagingData'. Scan count 33, logical reads 135, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

As you can see from the stats, the top query is non-SARGable and generates a lot more reads, the bottom query can use the index. Always make sure to write your queries in a way so that SQL Server can you an index



What about the last character, how can we find those

SELECT * FROM StagingData s
JOIN BadCharacters b on b.BadChar = RIGHT(s.SomeColumn,1)


SELECT * FROM StagingData s
JOIN BadCharacters b on s.SomeColumn like +'%' + b.BadChar 

Here are the stats again

(1089 row(s) affected)
Table 'BadCharacters'. Scan count 1, logical reads 2, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'StagingData'. Scan count 9, logical reads 10851, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

(1089 row(s) affected)
Table 'BadCharacters'. Scan count 1, logical reads 2, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'StagingData'. Scan count 33, logical reads 445863, physical reads 0, read-ahead reads 13, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.


So both of these queries suck the life out of your SQL Server instance, so what can be done?

One thing we can do is add a computed column to the table that will hold just the last character of the column, then we can index the computed column

Here are the commands to do that

ALTER TABLE StagingData ADD RightChar as RIGHT(SomeColumn,1)
GO


CREATE INDEX ix_RightChar on StagingData(RightChar)
GO

And now we can just run the same queries again

SELECT * FROM StagingData s
JOIN BadCharacters b on b.BadChar = RIGHT(s.SomeColumn,1)


SELECT * FROM StagingData s
JOIN BadCharacters b on s.SomeColumn like +'%' + b.BadChar 

Here are the stats

(1089 row(s) affected)
Table 'StagingData'. Scan count 33, logical reads 1223, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'BadCharacters'. Scan count 1, logical reads 2, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

(1089 row(s) affected)
Table 'StagingData'. Scan count 33, logical reads 1223, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'BadCharacters'. Scan count 1, logical reads 2, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.


Did you expect to get the same exact reads for both queries?

So what is going on?  Well lets take a look

In both cases, the optimizer was smart enough to use the index on the computed column

Hopefully this will make someone's life easier and you can expand the table to add other character you consider bad.  You can also add constraint to reject values or you can add triggers and then move those bad rows to a bad rows table

Finally if you need to worry about unicode you might want to change the table to be nvarchar

Enjoy.. importing that data..... we all know..it's only getting bigger and bigger

Using SonarQube, SonarQube Scanner and the sonar-tsql-plugin to run static code analysis

In the previous post Scripting out procs and user defined functions with PowerShell, we scripted out some procs and functions from the Adventureworks database so that we can run some static code analysis. Today we will install SonarQube, SonarQube Scanner and the sonar-tsql-plugin. First thing we need is to grab Java if you don't have it installed. I know I know... I uninstalled it as well.. sigh

Anyway.. after you have Java installed, you can grab SonarCube here: https://www.sonarqube.org/downloads/

Create a folder named sonarqube-7.6 on the C drive, download SonarCube and extract it in C:\sonarqube-7.6\

Next we need Sonar Cube Scanner,  You can download it here: https://docs.sonarqube.org/display/SCAN/Analyzing+with+SonarQube+Scanner

Create a folder name C:\sonar-scanner-cli-3.3.0.1492-windows and extract the Sonar Cube Scanner file there

Finally we need the sonar-tsql-plugin, you can download that here https://github.com/gretard/sonar-tsql-plugin/releases
Grab the file named: sonar-tsqlopen-plugin-0.9.0.jar and download it
Place the jar file in the folder C:\sonarqube-7.6\sonarqube-7.6\extensions\plugins\

Now it's time to create some environmental variables. In an explorer window, paste this into an address bar

Control Panel\System and Security\System
Click on Advanced System Settings, click on Environment Variable, click on new

In the variable name add SONAR_RUNNER_HOME
In the variable value add C:\sonar-scanner-cli-3.3.0.1492-windows

It will look like this

There is one more thing to do, we need to add something to the path
On older versions of windows... add the line below at the end of the path variable, on newer versions, just click on New and paste the line below

;%SONAR_RUNNER_HOME%\bin;

Ok time to run (and fail) SonarQube finally

Go to the folder C:\sonarqube-7.6\sonarqube-7.6\bin\windows-x86-32 and kick off the script StartSonar.bat

If you get an error about 32 or 64 bit, then run the script from the windows-x86-64 folder

If you run the script, if you are lucky, you won't get an error, but if you do is it this one?


jvm 1    | Error: missing `server' JVM at `C:\Program Files (x86)\Java\jre1.8.0_201\bin\server\jvm.dll'.
jvm 1    | Please install or use the JRE or JDK that contains these missing components.

C:\sonarqube-7.6\sonarqube-7.6\bin\windows-x86-32>StartSonar.bat
wrapper  | ERROR: Another instance of the SonarQube application is already running.
Press any key to continue . . .
C:\sonarqube-7.6\sonarqube-7.6\bin\windows-x86-32>StartSonar.bat
wrapper  | --> Wrapper Started as Console
wrapper  | Launching a JVM...
jvm 1    | Wrapper (Version 3.2.3) http://wrapper.tanukisoftware.org
jvm 1    |   Copyright 1999-2006 Tanuki Software, Inc.  All Rights Reserved.
jvm 1    |
jvm 1    | 2019.02.12 13:22:02 INFO  app[][o.s.a.AppFileSystem] Cleaning or creating temp directory C:\sonarqube-7.6\sonarqube-7.6\temp
jvm 1    | 2019.02.12 13:22:02 INFO  app[][o.s.a.es.EsSettings] Elasticsearch listening on /127.0.0.1:9001
jvm 1    | 2019.02.12 13:22:02 INFO  app[][o.s.a.p.ProcessLauncherImpl] Launch process[[key='es', ipcIndex=1, logFilenamePrefix=es]] from [C:\sonarqube-7.6\sonarqube-7.6\elasticsearch]: C:\Program Files (x86)\Java\jre1.8.0_201\bin\java -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=75 -XX:+UseCMSInitiatingOccupancyOnly -XX:+AlwaysPreTouch -server -Xss1m -Djava.awt.headless=true -Dfile.encoding=UTF-8 -Djna.nosys=true -Djdk.io.permissionsUseCanonicalPath=true -Dio.netty.noUnsafe=true -Dio.netty.noKeySetOptimization=true -Dio.netty.recycler.maxCapacityPerThread=0 -Dlog4j.shutdownHookEnabled=false -Dlog4j2.disable.jmx=true -Dlog4j.skipJansi=true -Xms512m -Xmx512m -XX:+HeapDumpOnOutOfMemoryError -Delasticsearch -Des.path.home=C:\sonarqube-7.6\sonarqube-7.6\elasticsearch -cp lib/* org.elasticsearch.bootstrap.Elasticsearch -Epath.conf=C:\sonarqube-7.6\sonarqube-7.6\temp\conf\es
jvm 1    | 2019.02.12 13:22:02 INFO  app[][o.s.a.SchedulerImpl] Waiting for Elasticsearch to be up and running
jvm 1    | Error: missing `server' JVM at `C:\Program Files (x86)\Java\jre1.8.0_201\bin\server\jvm.dll'.
jvm 1    | Please install or use the JRE or JDK that contains these missing components.


So to quickly fix this create a server folder in the java bin location from the error message



Now grab the files from the client folder and copy them to the server folder

Ok, we are ready to run the file again, rerun the command and the last 2 lines should be something like this

jvm 1    | 2019.02.12 13:25:53 INFO  app[][o.s.a.SchedulerImpl] Process[ce] is up
jvm 1    | 2019.02.12 13:25:53 INFO  app[][o.s.a.SchedulerImpl] SonarQube is up

Navigate to http://localhost:9000/ login with admin for username and password

Now we need to do one more thing and we are ready, open notepad or you favorite text editor, paste the following

# Required metadata 
sonar.projectKey=StaticCodeAnalysis.project
sonar.projectName=Static Code Analysis project
sonar.projectVersion=1.0
sonar.sources=StoredProcedures,UserDefinedFunctions
sonar.host.url=http://localhost:9000
#sonar.exclusions=**/bin/**/*.*,**/obj/**/*.*,**/*.sqlproj
# Comma-separated paths to directories of source codes to be analyzed. 
# Path is relative to the sonar-project.properties file. 
# Replace "\" by "/" on Windows. 
# Since SonarQube 4.2, this property is optional. 
# If not set, SonarQube starts looking for source code 
# from the directory containing the sonar-project.properties file. 
# Language 
sonar.language=tsql
#Encoding of the source code 
#sonar.sourceEncoding=UTF-8

Save that as sonar-project.properties in the folder where your code is located, in our case it is in C:\temp

Alright.. it's time to run the static code analysis...

Open a command window, cd to the C;\temp folder, and paste following

C:\sonar-scanner-cli-3.3.0.1492-windows\sonar-scanner-3.3.0.1492-windows\bin\sonar-scanner.bat

You should see something like the following

C:\temp>C:\sonar-scanner-cli-3.3.0.1492-windows\sonar-scanner-3.3.0.1492-windows\bin\sonar-scanner.bat
INFO: Scanner configuration file: C:\sonar-scanner-cli-3.3.0.1492-windows\sonar-scanner-3.3.0.1492-windows\bin\..\conf\sonar-scanner.properties
INFO: Project root configuration file: C:\temp\sonar-project.properties
INFO: SonarQube Scanner 3.3.0.1492
INFO: Java 1.8.0_121 Oracle Corporation (64-bit)
INFO: Windows 10 10.0 amd64
INFO: User cache: C:\Users\denis\.sonar\cache
INFO: SonarQube server 7.6.0
INFO: Default locale: "en_US", source code encoding: "windows-1252" (analysis is platform dependent)
INFO: Load global settings
INFO: Load global settings (done) | time=78ms
INFO: Server id: BF41A1F2-AWji9AZ8kkLV5J16bA1i
INFO: User cache: C:\Users\denis\.sonar\cache
INFO: Load/download plugins
INFO: Load plugins index
INFO: Load plugins index (done) | time=31ms
INFO: Load/download plugins (done) | time=47ms
INFO: Process project properties
INFO: Execute project builders
INFO: Execute project builders (done) | time=0ms
INFO: Project key: StaticCodeAnalysis.project
INFO: Base dir: C:\temp
INFO: Working dir: C:\temp\.scannerwork
INFO: Load project settings
INFO: Load project settings (done) | time=16ms
INFO: Load project repositories
INFO: Load project repositories (done) | time=47ms
INFO: Load quality profiles
INFO: Load quality profiles (done) | time=63ms
INFO: Load active rules
INFO: Load active rules (done) | time=1922ms
INFO: Load metrics repository
INFO: Load metrics repository (done) | time=32ms
WARN: SCM provider autodetection failed. Please use "sonar.scm.provider" to define SCM of your project, or disable the SCM Sensor in the project settings.
INFO: Language is forced to tsql
INFO: Indexing files...
INFO: Project configuration:
INFO: 23 files indexed
INFO: Quality profile for tsql: Sonar Way
INFO: ------------- Run sensors on module Static Code Analysis project
INFO: Sensor JaCoCo XML Report Importer [jacoco]
INFO: Sensor JaCoCo XML Report Importer [jacoco] (done) | time=0ms
INFO: Sensor MsIssuesLoaderSensor [tsqlopen]
INFO: Found 0 issues
INFO: Sensor MsIssuesLoaderSensor [tsqlopen] (done) | time=15ms
INFO: Sensor CodeGuardIssuesLoaderSensor [tsqlopen]
INFO: SQL Code guard path is empty, trying to search directories instead
INFO: Found 0 issues
INFO: Sensor CodeGuardIssuesLoaderSensor [tsqlopen] (done) | time=0ms
INFO: Sensor CustomChecksSensor [tsqlopen]
WARN: Property 'sonar.tsql.customrules.paths' is not declared as multi-values/property set but was read using 'getStringArray' method. The SonarQube plugin declaring this property should be updated.
INFO: Total 1 custom rules repositories with total 15 checks
INFO: Sensor CustomChecksSensor [tsqlopen] (done) | time=21548ms
INFO: Sensor CoverageSensor [tsqlopen]
INFO: Sensor CoverageSensor [tsqlopen] (done) | time=16ms
INFO: Sensor JavaXmlSensor [java]
INFO: Sensor JavaXmlSensor [java] (done) | time=0ms
INFO: Sensor HTML [web]
INFO: Sensor HTML [web] (done) | time=15ms
INFO: Sensor Zero Coverage Sensor
INFO: Sensor Zero Coverage Sensor (done) | time=16ms
INFO: ------------- Run sensors on project
INFO: No SCM system was detected. You can use the 'sonar.scm.provider' property to explicitly specify it.
INFO: 21 files had no CPD blocks
INFO: Calculating CPD for 2 files
INFO: CPD calculation finished
INFO: Analysis report generated in 250ms, dir size=127 KB
INFO: Analysis report compressed in 51ms, zip size=40 KB
INFO: Analysis report uploaded in 47ms
INFO: ANALYSIS SUCCESSFUL, you can browse http://localhost:9000/dashboard?id=StaticCodeAnalysis.project
INFO: Note that you will be able to access the updated dashboard once the server has processed the submitted analysis report
INFO: More about the report processing at http://localhost:9000/api/ce/task?id=AWjjFKvAkkLV5J16bDDx
INFO: Analysis total time: 26.228 s
INFO: ------------------------------------------------------------------------
INFO: EXECUTION SUCCESS
INFO: ------------------------------------------------------------------------
INFO: Total time: 28.017s
INFO: Final Memory: 36M/1173M
INFO: ------------------------------------------------------------------------

C:\temp>


When you get the prompt back, it's time to go to the http://localhost:9000/projects URL

You should have 1 project there, the name matches what we had in our properties file

sonar.projectName=Static Code Analysis project

When you click on the project, you will get some information about bugs, code smells and duplication

Clicking on code smells brings back the following.. you can then act on those or not

I added 2 of my own bad procs to see what it would flag

create proc BadProc
as
select * from Person.Address
order by 2,3

I also added this one Unique_Login_IPs, you can grab it here https://social.msdn.microsoft.com/Forums/en-US/55cfe1b0-402a-4468-bf7a-cc0966d4a487/faster-way-to-do-this

As you can see we got some warnings for those procs

SELECT *..   No need to comment on this one
No ASC/DESC in the order by... this defaults to ASC anyway but I guess for clarity it's better to specify ASC
Positional reference is used... I do this all the time with ad-hoc queries but I don't do it with procs

Non-sargeable argument found - column referenced in a function.

That is this line

WHERE (method = 'LOGIN') AND (YEAR(logged) = @year1) AND (MONTH(logged) = 3)) as tmpy1_3

This you would ideally rewrite by doing something like first creating the variable @startdate  and let it have the value @year.03/01 in other words '20190301'

Then the WHERE clause would be something like that

WHERE (method = 'LOGIN') AND logged >= @startdate and logged < dateadd(mm,1,@startdate) 

That is all for this post. Of course you can do some of this stuff with other tools and even with policy management. But if you use SQL Server and many languages, you could do static code analysis from one tool