SQL Query Examples
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Driver SQL Syntax

On this page you will find various query examples for Csv ODBC Driver / Data Gateway Connector. This driver offers highly flexible Client Size SQL Query engine which runs on client side to offer rich query language like a traditional RDBMS. Keep in mind that its not same as traditional database SQL so many features might not be supported also this engine is invoked on client side so there might be some performance issue if you have very large dataset. In below section you can see high level SQL Grammer / Syntax for writing SQL query for this driver.

SELECT Syntax / INTO

Below section shows use of SELECT statement. It can output data or store data into temporary table (must be named with prefix # (i.e. #temp_table) ). 

SELECT 
 [DISTINCT] [* | [ expression [[AS] column_name_alias] [, ...] ]
 [INTO #temp_table_name]
 [FROM table_name]
 [WHERE condition [, ...] ]
 [GROUP BY expression [, ...] ]
 [HAVING condition [, ...] ]	
 [ORDER BY expression [ASC | DESC] [, ...] ]
 [LIMIT row_count] 
 [WITH (option_name=option_value] [, ...]) ] [;]
 

option_name:=IDENTIFIER
option_value:= NUMBER | STRING

Select using Temp Table

This driver supports storing data into temporary table and then using it later in the same script. You can issue multiple SQL statements in the same script seperated by semicolon (;). For output only last Non-SELECT INTO statement is used. When you query #temp_table you get support for INNER / OUTER JOIN statements. 

 SELECT [DISTINCT] [* | [ expression [[AS] column_name_alias] [, ...] ] 
 FROM #temp_table_name
 [[INNER | OUTER | CROSS] JOIN #temp_table_name [alias] ON condition 
   [join_statement] 
   [join_statement] 
   ... 
 ]
 [WHERE condition [, ...] ]
 [GROUP BY expression [, ...] ]
 [HAVING condition [, ...] ]	
 [ORDER BY expression [ASC | DESC] [, ...] ]
 [LIMIT row_count]

Multiple SQL Statments

This driver supports executing multiple statements in a single command. You can issue multiple SQL statements in the same script seperated by semicolon (;). For output only last Non-SELECT INTO statement is used. When you query #temp_table you get support for INNER / OUTER JOIN statements. 

select_into_temp; 
[select_into_temp;] 
[select_into_temp;]
...
select_from_temp_table;

Comment Syntax

ZappySys Driver supports single line comment and block comments anywhere in SQL 

--some comment in single line 
|
/* some block comment */

UNION / UNION ALL Syntax

You can use UNION or UNION ALL key word to output multiple temp tables with similar structure in a single resultset. UNION ALL keyword doesnt apply DISTINCT operation to eliminate duplicate rows so its faster. 

select_from_temp_table_1
   UNION | UNION ALL
select_from_temp_table_2
  [UNION | UNION ALL]
select_from_temp_table_3	
...
...

Stored Procedure Syntax

This driver supports writing Stored Procedure. This is useful when writing reusable parameterized SQL for ease of use. Rather than calling long SQL from application you can call short name with parameters to invoke same logic. Stored procedure support multi-statements using TEMP tables (i.e. SELECT ... INTO #mytemptable clause). To invoke Stored Proc use EXEC keyword before its name. See below Syntax.
CREATE PROCEDURE 

CREATE PROCEDURE proc_name 
  [@parameter_name [= 'Some Default Value']  ] 
  [@parameter_name [= 'Some Default Value']  ] 
  ...
  ...
AS 
  sql-statement; 
 [sql-statement | sql-temp-table-usage] ;
 [sql-statement | sql-temp-table-usage] ;
 ...
 ...
Executing PROCEDURE 
EXEC proc_name [value1] [,value2] ... [,valueN]
Deleting PROCEDURE 
DROP PROCEDURE proc_name

SQL Examples

Basic Read (API, File, Embedded) Query CSV API Service

This example shows how to query CSV API service. In order to see table list you must populate required connection parameters on the parameter grid 
SELECT * FROM $
WITH(
     SRC='https://zappysys.com/downloads/files/test/invoices.csv' 
	,ColumnDelimiter=','
	,HasColumnHeaderRow='True'
	--,DateFormatString='yyyy-MM-dd HH:mm:ss'
	--,FileCompressionType='GZip' --or-- Zip --or-- None	
	--,SkipRows='5'
	--,SkipHeaderCommentRows='5'
)

Basic Read (API, File, Embedded) Query Single File

This example shows how to query single CSV file (For multiple file use wildcard (i.e. *.csv)). This example selects root level hierarchy (i.e $ as table name). Use table selector from toolbar to exact data from different hierarchy (i.e table). In order to see table list you must populate File/URL and other required connection parameters on the parameter grid. 

SELECT * FROM $ WITH (SRC='C:\Data\cust-1.csv')

Basic Read (API, File, Embedded) Query Multiple Files

This example shows how to query multiple CSV files using wildcard (i.e. *.csv). This example selects root level hierarchy (i.e $ as table name). Use table selector from toolbar to exact data from different hierarchy (i.e table). 
SELECT * FROM $ 
WITH (
    SRC='C:\Data\cust*-?.csv'
    --,RECURSIVE='True' --Include files from sub folder
)

Basic Read (API, File, Embedded) Query direct CSV string (embedded inside query)

This example shows how to query direct CSV string embedded inside query. This is useful for testing purpose. In real world this may not be the case because data may be coming from File or URL (API call). This example selects root level hierarchy (i.e $ as table name). Use table selector from toolbar to exact data from different hierarchy (i.e table). In order to see table list you must populate File/URL and other required connection parameters on the parameter grid. 
SELECT * FROM $ 
WITH 
(DATA='Name|Age|Income|Hiredate
Bob|55|5000.00|2018-01-01
Sam|51|2000.00|2016-02-01
John|45|3000.00|2014-07-01
'
,ColumnDelimiter='|'
)

Basic Read (API, File, Embedded) Query Command line Output (Console Capture)

This example shows how to return data from command line output / batch file. To treat Data as command line simply prefix source command line with cmd:>. Here is more information about streaming data from command line output. Syntax: cmd:>[exe / bat folder]<exe-name> [arguments]
First argument is exe name or full path for exe or bat file. Second part is arguments for command line program. You can use double quotes around exe / batch file path if it contains space.
For *.bat or *.cmd file make sure to add [ @echo off ] in the first line (without brackets) else command itself is added in output. To read more please see product help file

====================
Examples:
====================
cmd:>cmd /c dir *.dll /b
cmd:>aws iam list-users --output csv
cmd:>az vm list --output csv
cmd:>py c:\scripts\run-python.py
cmd:>powershell -executionpolicy bypass -File "c:\scrips\run.ps1"
cmd:>powershell -executionpolicy bypass -Command "[System.IO.StreamReader]::new((Invoke-WebRequest -URI https://zappysys.com/downloads/files/test/invoices.csv).RawContentStream).ReadToEnd()"
cmd:>c:\folder\my-batch-file.bat
cmd:>c:\folder\my-batch-file.bat option1 option2
cmd:>curl -k https://httpbin.org/get
cmd:>curl.exe -k https://httpbin.org/get
cmd:>c:\folder\curl.exe -k https://httpbin.org/get
cmd:>"c:\folder with space\curl.exe" -k https://httpbin.org/get
 
SELECT * FROM $
WITH(
     Data='cmd:>powershell -executionpolicy bypass -Command "[System.IO.StreamReader]::new((Invoke-WebRequest -URI https://zappysys.com/downloads/files/test/invoices.csv).RawContentStream).ReadToEnd()"'
	,ColumnDelimiter=','
	,HasColumnHeaderRow='True'
	--,DateFormatString='yyyy-MM-dd HH:mm:ss'
	--,SkipRows='5'
	--,SkipHeaderCommentRows='5'
)

Basic Read (API, File, Embedded) Escape Sequence (String Literals with new lines, tabs)

This example shows how to use escape sequence in String Literals (Quoted values (single quotes) in WITH, SELECT or some other clause if driver supports). You can use @ symbol before string literal to allow special characters (e.g. \r \n \t \v \u0041 \\). \r=carriage return, \n=new line, \t=tab, \uXXXX=any ascii/unicode char by hex number. To produce Unicode character using escape sequence use hex number starting \u e.g. \u0041 will produce A (Uppercase). 
SELECT * FROM $ 
WITH 
(DATA=@'Name|Age|Income|Hiredate\r\nBob\u0041|55|5000.00|2018-01-01\r\nSam|51|2000.00|2016-02-01\r\nJohn|45|3000.00|2014-07-01\r\n'
,ColumnDelimiter='|'
)

API Authentication (HTTP,OAuth) Basic Authentication (User Id/Password)

This example shows how to query CSV API service which requires basic authentication. In order to see table list you must populate required connection parameters on the parameter grid 

--Credentials via Query
SELECT * FROM $ WITH (SRC='https://zappysys.com/downloads/files/test/invoices.csv'
    ,DataConnectionType='HTTP'
    ,CredentialType='Basic'
    ,UserName='user1'
    ,Password='pass123')

--Credentials inside connection string [Use Data source setup grid >> Select Connection = HTTP (Click Configure) >> Set Credential type=Basic, UserId=user1, Password=pass123]
--SELECT * FROM $ WITH (SRC='https://zappysys.com/downloads/files/test/invoices.csv')

API Authentication (HTTP,OAuth) NTLM / Windows Authentication

This example shows how to query CSV API service which requires windows authentication (NTLM). 

--Credentials via Query
SELECT * FROM $ 
WITH (SRC='http://yourhost/some-service',DataConnectionType='HTTP',CredentialType='Ntlm')

--Credentials inside connection string [Use Data source setup grid >> Authentication type=Ntlm]
--SELECT * FROM $ WITH (SRC='http://yourhost/some-service')

API Authentication (HTTP,OAuth) OAuth 2.0 Authentication (3-Legged) - Custom API Example

This example shows how to query CSV API service which requires OAuth2 authentication. 

--Credentials via Query
SELECT * FROM $ WITH (
    SRC='http://yourhost/api/some-service'
    ,DataConnectionType='OAuth'
    ,UseCustomApp='True'
    ,OAuthVersion='OAuth2'
    ,AuthUrl='https://yourhost/api/authorize'
    ,TokenUrl='https://yourhost/api/token'
    ,ClientId='xxxxxxxxxxx'
    ,ClientSecret='xxxxxxxxxxxxx'
    ,AccessToken='xxxxxxxxxxx'
    ,RefreshToken='xxxxxxxxxxx'  --//This is only obtained from UI by clicking Generate Token Button
)

--Credentials inside connection string [Use Data source setup grid >> Authentication type=OAuth >> Click OAuth Button to configure connection]
SELECT * FROM $ WITH (SRC='http://yourhost/api/some-service')

API Authentication (HTTP,OAuth) OAuth 2.0 Authentication (3-Legged) - Google API Example

This example shows how to query Google API using OAuth2 authentication. For demo its using Google Analytics API but you can apply same concept for other OAuth2 compatible Google API. 

--Credentials via Query
--Check this link to learn more about how to generate ClientId / ClientSecret >> https://zappysys.com/blog/register-google-oauth-application-get-clientid-clientsecret/
--To get Access Token and Refresh Token >> Goto properties grid >> Change Authentication type=OAuth >> Click OAuth Button to configure connection >> Select Provider='Google' >> Use Custom App >> Select Scope and click Generate Token >> Save tokens to file

SELECT * FROM $ WITH
(
 SRC='https://www.googleapis.com/analytics/v3/metadata/ga/columns'
,UseCustomApp='True'
,DataConnectionType='OAuth'
,ServiceProvider='Google'
,ClientId='3855xxxxxx-xxxxxxxxxxxxxxxxx.apps.googleusercontent.com'
,ClientSecret='qF7axxxxxxxxxxxWfs'
,AccessToken='ya29.GlsxxxxxxxxxIam'
,RefreshToken='1/pFOxxxxxxxxxxgU' --//This is only obtained from UI by clicking Generate Token Button
)


--Credentials inside connection string [Use Data source setup grid >> Authentication type=OAuth >> Click OAuth Button to configure connection]
SELECT * FROM $ WITH (SRC='https://www.googleapis.com/analytics/v3/metadata/ga/columns')

API Authentication (HTTP,OAuth) Dynamic Token Authentication (2 Steps) - Query REST API

This example shows how to call REST API Service using Dynamic Token approach. Learn how to authenticate using userid / password to obtain temporary token which can be passed to call API. Also learn how to pass Body, Headers using HTTP POST. For more information about Dynamic Token visit https://zappysys.com/links/?id=10091 
SELECT * FROM $
WITH(
	 Src='https://zappysys.com/downloads/files/test/rest-getdata.aspx?format=csv'
	--,RequestMethod='POST'
	--,RequestData='sessionid=[$token$]"'
	,Header='Content-Type: text/plain || Accept: */* || Cache-Control: no-cache'	
	,DataConnectionType='HTTP'
	,CredentialType='TokenDynamic'
	,UserName='MyUser001'
    ,Password='P@$$w0rdAAc12'
	,AuthScheme='{none}'
	,TokenUrl='https://zappysys.com/downloads/files/test/rest-login.aspx'
	,TokenRequestData='{ user:"[$userid$]", password:"[$password$]" }'
	,TokenRequestMethod='POST'
	,TokenResponseContentFilter='$.sessionid'
	,TokenRequestHeaders='Content-Type:application/json | Accept:*/* | Cache-Control:no-cache'
	,TokenResponseContentType='Json'

)

API Pagination Paginate based on URL Parameter (Loop until certain StatusCode)

This example shows how to paginate API calls where you need to pass page number via URL. Driver keeps incrementing page number and calls next URL until last page detected (401 error). There are few ways to indicate last page (e.g. By status code, By row count, By response size). If you don't specify end detection then it will use default (i.e. No records found). 
SELECT * FROM $
WITH (
SRC='https://zappysys.com/downloads/files/test/page-csv.aspx?page=1&mode=DetectBasedOnResponseStatusCode'
,PagingMode='ByUrlParameter'
,PagingByUrlAttributeName='page'
,PagingByUrlEndStrategy='DetectBasedOnResponseStatusCode'
,PagingByUrlCheckResponseStatusCode=401
,IncrementBy=1
)

API Pagination Paginate based on URL Path (Loop until no record)

This example shows how to paginate API calls where you need to pass page number via URL Path. Driver keeps incrementing page number and calls next URL until last page is detected. There are few ways to indicate last page (e.g. By status code, By row count, By response size). If you don't specify end detection then it will use default (i.e. No records found). 
SELECT * FROM $
WITH (
SRC='https://zappysys.com/downloads/files/test/cust-<%page%>.csv'
,PagingMode='ByUrlPath'
,PagingByUrlAttributeName='<%page%>'
,PagingByUrlEndStrategy='DetectBasedOnRecordCount'
,IncrementBy=1
)

URL JOIN Pass parent URL data to Child URL

This example shows how to perform URL JOIN. Using this pattern you can pass parent URL data to child API URL in one query. You can pass parent data in child URL or Body (for POST). Placeholder syntax is [$parent_alias.parent_col_name$]. Each level must have ALIAS attribute. For root level you dont have to Prefix JOINxxxxxxx but for any other level you must Prefix JOINxxxxx before each attribute name. For more information on API JOIN Pattern check https://zappysys.com/links/?id=10139. You can use function when you pass parent data to child URL. e.g. [$a.firstname,FUN_TRIM$]. Visit this Help Page to see all placeholder functions you can use https://zappysys.com/onlinehelp/odbc-powerpack/scr/odbc-format-static-placeholders.htm. Here is another example of using BASE64DEC function in child URL https://zappysys.zendesk.com/hc/en-us/articles/360049791574 
SELECT 
    c.custid,c.name,c.city
    ,o.orderid,o.orderdate,o.total
    /* ,i.itemid,i.qty,i.shipped */
FROM $
WITH(
    --1st level (root)--
	 src='https://zappysys.com/downloads/files/test/join/customers.csv'
    ,alias='c'
    ,WaitTimeMs='500'
    
    --2nd level--
    --You can pass parent column to child URL using placeholder [$parent_alias.parent_col_name$] syntax (e.g. [$c.custid$] )
    ,join1_src='https://zappysys.com/downloads/files/test/join/c[$c.custid$]/orders.csv'
    ,join1_alias='o'
    ,join1_WaitTimeMs='500'

    /*
    --3rd level-- 
    --You can pass parent column to child URL using placeholder [$parent_alias.parent_col_name$] syntax (e.g. [$c.custid$] and [$o.orderid$])
    ,join2_src='https://zappysys.com/downloads/files/test/join/c[$c.custid$]/o[$o.orderid$]/items.csv'
    ,join2_alias='i'
    ,join2_WaitTimeMs='500'

    --maximum 7 levels deep you can go. Any attributes allowed in WITH clause can be prefixed by by joinN_xxx
    -- join3_xxxxx, join4_xxxxxx .......... join7_xxxxx
    */
)

URL JOIN Custom Metadata for Child URL and final output

This example shows how to perform URL JOIN and supply custom META for joined URL (child) and final output (SELECT list). Using this pattern you can control datatype parsing in child levels. Notice that in first META we included CUST_ID and CUST_CITY. This is aliased columns from SELECT list. You must use exact name from final output. Any columns (aliased or non-aliased) you intend to use in Final SELECT include in META clause to control exact Metadata. If you skip Output META and only use JOIN1_META (for child) then datatypes for final result will be detected automatically and sometimes length is set to 16MB max to support long string. For more information on API JOIN Pattern check https://zappysys.com/links/?id=10139 
SELECT 
 _pid,q._rid
, r.custid as CUST_ID, r.city as CUST_CITY
, q.VAL1, q.VAL2, q.VAL3, q.DESCR 
FROM $
ORDER BY _pid,q._rid
WITH (

 SRC='https://zappysys.com/downloads/files/test/join/customers.csv'
,ALIAS='r'

,JOIN1_DATA='VAL1,VAL2,VAL3,DESCR
ABC123,000100,000100,Some notes1
000100,000200,000200,Some notes2
000200,000300,000300,Some notes3',JOIN1_ALIAS='q'

--metadata for final output (include column, type, length for output of SELECT). 
--This meta does not perform type casting
,Meta='[
  {Name: "_rid",Type: "Int32"},
  {Name: "_pid",Type: "Int32"},
 
  {Name: "CUST_ID",Type: "String",Length: 100},
  {Name: "CUST_CITY",Type: "String",Length: 100},
  
  {Name: "VAL1",Type: "String",Length: 100},
  {Name: "VAL2",Type: "Int32"},
  {Name: "VAL3",Type: "String"},
  {Name: "DESCR",Type: "String",Length: 254}
  ]'
  
 --child level1 metadata (length not needed). Datatype used below may perform some type casting ---
,JOIN1_meta='[
  {Name: "VAL1",Type: "String"},
  {Name: "VAL2",Type: "Int32"},
  {Name: "VAL3",Type: "String"},
  {Name: "DESCR",Type: "String"}
  ]'
)

URL JOIN Download files to local disk

This example shows how to download files to local disk. It first gets records by calling first URL and then pass it to seconds URL. For more information on API JOIN Pattern check https://zappysys.com/links/?id=10139 
select a.url,b.data,file_write_binary(base64_to_bytes(b.data) ,'c:\temp\' || name  ) as bytes_written 
from $
WITH ( 
  SRC='https://zappysys.com/downloads/files/test/imagelist.csv',
  ALIAS='a',
  
  JOIN1_SRC='[$a.url$]',
  JOIN1_ALIAS='b',
  JOIN1_SaveContentAsBinary='true'  
)

URL JOIN Read unstructured data and pass to API call

This example shows how to query unstructured data and parse using Regex, XPath or CSVPath)

Examples of XPaths: https://zappysys.com/blog/ssis-extract-single-xml-node-using-xpath-soap-response/
Examples of CsvPath: https://zappysys.com/blog/csvpath-examples-expression-cheetsheet/
Examples of Regular Expression: https://zappysys.com/blog/using-regular-expressions-in-ssis/

Also try following Query Examples to extract Raw data.

SELECT * FROM $
WITH(
Src='http://google.com'
,EnableRawOutputModeSingleRow='True'
)

SELECT * FROM $
WITH(
Src='http://google.com'
,EnableRawOutputModeSingleRow='True'
,RawOutputFilterExpr='<title>([^<]*)<\/title>{{0,1}}||content="([^"]*)"{{0,1}}' --can be Regex, CsvPath or XPath. Use double pipe to split multiple columns
,RawOutputDataRowTemplate=@'{title:"[$1]", content:"[$2]" }' --must be Csv template
,RawOutputExtractMode='Regex' --can be Regex, Xml, Csv or None. -- Comment this and RawOutputFilterExpr, RawOutputDataRowTemplate to extract Raw data without column parsing (i.e. returns raw text of URL/Path)
)

SELECT * FROM $
WITH(
Src='http://httpbin.org/get'
,EnableRawOutputModeSingleRow='True'
,RawOutputFilterExpr='$.origin||$.url' --can be Regex, CsvPath or XPath. Use double pipe to split multiple columns
--,RawOutputDataRowTemplate=@'{title:"[$1]", content:"[$2]" }' --must be Csv template
,RawOutputExtractMode='Csv' --can be Regex, Xml, Csv or None. -- Comment this and RawOutputFilterExpr, RawOutputDataRowTemplate to extract Raw data without column parsing (i.e. returns raw text of URL/Path)
)

 
SELECT c.title,o.url,o.data 
FROM $
WITH(
	 Src='http://google.com'
	,EnableRawOutputModeSingleRow='True'
	,RawOutputFilterExpr='<title>([^<]*)<\/title>{{0,1}}||content="([^"]*)"{{0,1}}' --can be Regex, JsonPath or XPath. Use double pipe to split multiple columns
	,RawOutputDataRowTemplate=@'{title:"[$1]", content:"[$2]" }' --must be Json template. Comment this line to generate default columns e.g. col1, col2...If you comment this then use c.col1 and c.col2 instread of c.title and c.content in Select and join1_xxxxx attributes
	,RawOutputExtractMode='Regex' --can be Regex, Xml, Json or None. -- Comment this and RawOutputFilterExpr, RawOutputDataRowTemplate to extract Raw data without column parsing (i.e. returns raw text of URL/Path)
    ,Alias='c'
    ,join1_RequestMethod='POST'
    ,join1_RequestData='url,data
http://abc.com,Row1-[$c.content$]
http://xyz.com,Row2-[$c.content$]'
    ,join1_src='https://zappysys.com/downloads/files/test/rest-getdata.aspx?id=[$c.title$]&postsame=1'
    ,join1_RequestContentTypeCode = 'TextPlain'
    ,join1_alias='o'
    ,join1_EnableRawOutputModeSingleRow='False'
)

URL JOIN Query API with Status Check Loop (Wait until value found)

This example shows how to use status check feature to keep waiting until desired value is not found in response. This pattern is very useful for Job style API where you have to wait until API returns Success or Failure status of Job status. You can adjust iteration wait time, max wait time for timeout and regex pattern to search for Success or Failure. If Success value found it returns data. If Failure value found or timeout occurs it will throw error.

Examples of XPaths: https://zappysys.com/blog/ssis-extract-single-xml-node-using-xpath-soap-response/
Examples of CsvPath: https://zappysys.com/blog/csvpath-examples-expression-cheetsheet/
Examples of Regular Expression: https://zappysys.com/blog/using-regular-expressions-in-ssis/

 
SELECT * FROM $ WITH 
(
SRC='https://zappysys.com/downloads/files/test/cust-1.csv', 
EnableStatusCheck='True', 
StatucCheckMaxWaitSeconds=7,
StatucCheckIterationWaitSeconds=3,
--StatusCheckForFailedValue = 'True',
--StatusFailedValue = 'Failed|Cancelled',
--StatusFieldFilterExpr='-START-(.*)-END-', --Use XPath, JSonPath or Regex to narrow down to single property / content under which you like to search 
--StatusFieldFilterType='Regex', --or use Csv, Xml, Regex, None
StatusSuccessValue='C1' --Wait until C1 or C2 or C3 found in response (Use Regular expression syntax) 
)

/*
--- See real world example of status check pattern here (Use of XML Driver)... https://zappysys.com/blog/import-bing-ads-data-sql-server-performance-reports/ 

SELECT c.* FROM $
WITH(
	--///////////////////////////////////
	--Step-1: submit report request for XML format
	--///////////////////////////////////
	 alias='a' 
	,Src='https://reporting.api.bingads.microsoft.com/Api/Advertiser/Reporting/v13/ReportingService.svc'
	,Filter='$.s:Envelope.s:Body.SubmitGenerateReportResponse'
	,RequestData='@C:\Requests\BingAds\sql_body1.xml'  --Get Body from File for clean Look (Read blog post above to see actual body)
	,IsMultiPart='True'
	,RequestContentTypeCode='TextXml'
	,Header='SOAPAction: "SubmitGenerateReport"'
	,RequestMethod = 'POST'
	,EnableBodyPlaceholderForMultiPart = 'True'
	,Meta = '[{ "Name": "ReportRequestId","Type": "Int64"}]'

    --///////////////////////////////////
    --///Step-2: keep checking status until report is ready - returns final url when done
    --///////////////////////////////////
	,join1_alias = 'b'
	,join1_Filter = '$.s:Envelope.s:Body.PollGenerateReportResponse.ReportRequestStatus'
	,join1_RequestData = '@C:\Requests\BingAds\sql_body2.xml'
	,join1_IsMultiPart = 'True'
	,join1_Src = 'https://reporting.api.bingads.microsoft.com/Api/Advertiser/Reporting/v13/ReportingService.svc'
	,join1_RequestContentTypeCode = 'TextXml'
	,join1_Header = 'SOAPAction: "PollGenerateReport"'
	,join1_RequestMethod = 'POST'
	,join1_EnableBodyPlaceholderForMultiPart = 'True'
	,join1_EnableStatusCheck = 'True', 
	,join1_StatucCheckMaxWaitSeconds = 300, --wait max 5 mins ?
	,join1_StatucCheckIterationWaitSeconds = 5, --check every 5 sec ?
	,join1_StatusSuccessValue = 'Success', --look for success word in response
      --, join1_Meta = '[{ "Name": "ReportDownloadUrl","Type": "String",Length: "500"},{ "Name": "Status","Type": "String",Length: "20"}]'

   --///////////////////////////////////
   --Step-3: Download report(Zip file) and Parse rows
   --///////////////////////////////////
	,join2_alias = 'c'
	,join2_DataConnectionType = 'Default'
	,join2_Src = '[$b.ReportDownloadUrl$]'
	,join2_Filter = '$.Report.Table.Row[*]'
	,join2_ElementsToTreatAsArray = 'Row'
	,join2_RequestMethod = 'GET'
	,join2_IsMultiPart = 'False'
	,join2_FileCompressionType = 'Zip'
)

*/

Performance Handling Large Dataset / Avoid OutOfMemory Error (Using Disk for Query Engine)

Advanced Query can invokes ClientSide query Engine which means entire table is fetched in memory for processing causing OutOfMemory Exception (OOM). To avoid this error you can specify Disk based Temporary storage for query engine. Default is In memory storage. 
SELECT * FROM $
WITH(

   Src='https://zappysys.com/downloads/files/test/cust-1.csv?really-large-file=1'
  ,TempStorageMode='Disk' --or 'Memory'
--OR
--,TempStorageMode=1 --//Memory=0, Disk=1
)

Metadata Query with static Metadata (META option / Override Mode)

This example shows how to supply custom Metadata rather than relying dynamic metadata detection (based on 300 rows scanning). If you run query you can click on [View Metadata] button to generate default metadata. If you dont want to supply all columns in meta clause then use @OverrideMode:1 along with column list you want to alter. Possible Types for META is => <none>, String, Int64, Long, Int, Int32, Short, Byte, Decimal, Double, Float, DateTime, Date, Boolean 
SELECT * FROM $ 
WITH 
(DATA='id,checknumber,name
1,0001,AAA
2,0002,BBB
3,0003,CCC
'
--//Method-1: >>>DIRECT META (compact mode)<<<
,META='id:int;checknumber:string(10);name:string(10)'
-- Add: @OverrideMode:1 in the column list to override meta for only specific column(s) - In below example we are changing default datatype/length for id and checknumber, all other columns are dynamic so dont have to supply in META clause
--,META='@OverrideMode:1;id:int;checknumber:string(10)'  

--//Method-2: >>>DIRECT META (csv mode)<<<
--,META='[{Name:"id",Type:"Int32"},{Name:"checknumber",Type:"String",Length:10},{Name:"name",Type:"String",Length:10}]'
-- Add: @OverrideMode entry in the column list to override meta for only specific column(s). No need to set Type for that entry - In below example we are changing default datatype/length for id and checknumber, all other columns are dynamic so dont have to supply in META clause
--,META='[{Name:"@OverrideMode"}, {Name:"id",Type:"Int32"},{Name:"checknumber",Type:"String",Length:10}]'

--//Method-3: >>>META from File <<<
--,META='c:\data\meta.csv'

--//Method-4: >>>META from Internal Storage - Just refer entry by name <<<
--,META='MY_META_STORAGE_NAME'

)

API POST (Send Data) Simple POST (embedded string)

This example shows how to POST data to API service where data (i.e. request body) is coming from embedded string. 
SELECT * FROM $
limit 3 WITH 
(METHOD='POST', HEADER='Content-Type: text/plain || x-hdr1: AAA'
,SRC='http://httpbin.org/post'
,BODY='
{
    id:1,
    notes:"Line1\r\nLine2"
}'
)

API POST (Send Data) Simple POST with Static Output Metadata

This example shows how to speed up POST API calls by supplying static Metadata about output columns. By default each API request is sent twice (First to Get Metadata and Second to Get actual data). This approach is fine in most cases but some POST API call might fail if you submit same request twice (i.e. Create New Account with Unique Constraint on Name). Check this article to learn more about how to use Metadata feature https://zappysys.com/links/?id=10111 
SELECT * FROM $
WITH (METHOD='POST' ,HEADER='Content-Type: application/xml || x-hdr1: SomeValue'
,SRC='https://zappysys.com/downloads/files/test/rest-getdata.aspx?postsame=1'
,BODY='col1,col2
1,AAA
2,BBB
'
--define output metadata using static value like below or from file
,META='[{Name: "col1",Type: "Int32"},{Name: "col2",Type: "String",Length: 10}]'
--,META='id=Int32;name=String(10)'  --compact meta format
--,META='c:\query_meta.csv'
)

API POST (Send Data) File Upload data from local file

This example shows how to POST data to API service where data (i.e. request body) is coming from local file. 
SELECT * FROM $
limit 3 WITH 
(METHOD='POST', HEADER='Content-Type: text/plain || x-hdr1: AAA'
,SRC='http://httpbin.org/post'
,BODY='@c:\files\dump.csv'
,IsMultiPart='True'
)

Stored Proc Call stored proc (Ad-Hoc HTTP request).

This example shows how to fetch data from any http URL via stored procedure call. Using this method you can fetch any data from HTML pages not necessarily CSV. 
exec webRequest 'http://httpbin.org/post', 'POST', '*BODY*', 'x-hdr1: AA||x-hdr2: BB'

--You can also arrange parameters in any order using named parameters and optional parameters
--exec webRequest @verb='POST', @uri='https://httpbin.org/post', @body='*BODY*', @headers='Insecure-Requests: 0||User-Data: httpbin.org'
--exec webRequest @verb='GET', @uri='https://httpbin.org/get'

Functions String Manipulation

This example shows how to use string functions. When you use function your entire dataset is first cached locally and then transformation is applied so you may notice some speed degradation. 
SELECT 
  substr('ZappySys', 1, 5)
, printf('%s %s %.2f', 'v1', CompanyName, CompanyId)
, ('Str1' || CompanyName || 'Str2') as ConcatExample
, upper('ZappySys')
, lower('ZappySys')
, replace('ZappySys', 'Sys', 'XYZ')
, instr('ZappySys', 'Sys')
, trim('   Zappy Sys  ') trim1
, trim('@@@ZappySys@@@', '@') trim2
, rtrim('    ZappySys   ')
, ltrim('    ZappySys   ')
, length( CompanyName )
FROM $ WITH (
DATA='CompanyId,CompanyName
1000,ZappySys
1001,Microsoft
1002,Amazon
')

Functions Control flow

This example shows how to use math functions. When you use function your entire dataset is first cached locally and then transformation is applied so you may notice some speed degradation. 
SELECT 
	 COALESCE(10,20) coalesce1 --returns first non-null arg
    ,COALESCE(null,20) coalesce2 --returns first non-null arg
    ,COALESCE(null,20,30,40) coalesce3 --returns first non-null arg
    ,IFNULL(null,20) --returns first non-null arg. Same function as COALESCE but simple (just two arguments allowed)
    ,NULLIF(20,20) nullif1 --returns null if both argument same
    ,NULLIF(10,20) nullif2 --returns null if both argument same
FROM $ WITH (
DATA='CompanyId,CompanyName
1000,ZappySys
1001,Microsoft
1002,Amazon
')

Functions Date/Time

This example shows how to use date/time functions. When you use function your entire dataset is first cached locally and then transformation is applied so you may notice some speed degradation.

CSV driver supports following 5 datetime functions. The date and time functions use a subset of IS0-8601 date and time formats. The date() function returns the date in this format: YYYY-MM-DD. The time() function returns the time as HH:MM:SS. The datetime() function returns YYYY-MM-DD HH:MM:SS.

date(timestring, modifier, modifier, ...)
time(timestring, modifier, modifier, ...)
datetime(timestring, modifier, modifier, ...)
julianday(timestring, modifier, modifier, ...)
strftime(format, timestring, modifier, modifier, ...)

=======================================
time string (input data)
=======================================
A time string (input) can be in any of the following formats. You can hard code or supply from column.

YYYY-MM-DD
YYYY-MM-DD HH:MM
YYYY-MM-DD HH:MM:SS
YYYY-MM-DD HH:MM:SS.SSS
YYYY-MM-DDTHH:MM
YYYY-MM-DDTHH:MM:SS
YYYY-MM-DDTHH:MM:SS.SSS
HH:MM
HH:MM:SS
HH:MM:SS.SSS
now
DDDDDDDDDD

=======================================
format specifier for strftime function
=======================================
Use below format specifiers to output date in desired format. For example to output date in MM-DD-YYYY use below select query

select STRFTIME('%Y-%m-%d','now') formatted_date_time from mytable
select STRFTIME('%Y-%m-%d',[my column]) formatted_date_time from mytable

%d day of month: 00
%f fractional seconds: SS.SSS
%H hour: 00-24
%j day of year: 001-366
%J Julian day number
%m month: 01-12
%M minute: 00-59
%s seconds since 1970-01-01
%S seconds: 00-59
%w day of week 0-6 with Sunday==0
%W week of year: 00-53
%Y year: 0000-9999
%% %

=================
Modifiers
=================
The time string (input) can be followed by zero or more modifiers that alter date and/or time. Each modifier is a transformation that is applied to the time value to its left. Modifiers are applied from left to right; order is important. The available modifiers are as follows.

For example to add 5 days in current date you call it as below

select DATE('now', '+5 day') from mytable

NNN days
NNN hours
NNN minutes
NNN.NNNN seconds
NNN months
NNN years
start of month
start of year
start of day
weekday N
unixepoch
localtime
utc

The first six modifiers (1 through 6) simply add the specified amount of time to the date and time specified by the preceding timestring and modifiers. The 's' character at the end of the modifier names is optional. Note that '±NNN months' works by rendering the original date into the YYYY-MM-DD format, adding the ±NNN to the MM month value, then normalizing the result. Thus, for example, the data 2001-03-31 modified by '+1 month' initially yields 2001-04-31, but April only has 30 days so the date is normalized to 2001-05-01. A similar effect occurs when the original date is February 29 of a leapyear and the modifier is ±N years where N is not a multiple of four.

The 'start of' modifiers (7 through 9) shift the date backwards to the beginning of the current month, year or day.

The 'weekday' modifier advances the date forward to the next date where the weekday number is N. Sunday is 0, Monday is 1, and so forth.
 
SELECT 
 DATE('now') date_now
,STRFTIME('%Y-%m-%dT%H:%M:%f','now') formatted_Date_time
,DATETIME('now') datetime_now
,DATE('now','localtime') datetime_now_local
,TIME('now') time_now
,JULIANDAY('now')
,DATE('now', 'start of month', '+1 month' , '-1 day' ) dt_modify1
,DATE('now', '+5 day') dt_modify2

FROM $ WITH (
DATA='CompanyId,CompanyName
1000,ZappySys
1001,Microsoft
1002,Amazon
')

Functions Math

This example shows how to use math functions. When you use function your entire dataset is first cached locally and then transformation is applied so you may notice some speed degradation. 
SELECT 
	 abs(-500)
    ,random()
    ,round(1000.236, 2)
FROM $ WITH (
DATA='CompanyId,CompanyName
1000,ZappySys
1001,Microsoft
1002,Amazon
')

Functions Regular Expression

This example shows how to regular expression functions. 
SELECT 
 regex_ismatch(SSN, '\d{3}-\d{3}-\d{4}') IsValidSSN, --check pattern found
 regex_replace(SSN, '\d','*') MaskedSSN, --search/replace pattern
 regex_search(SSN, '\d{4}')  SSNLast4Digits, --extract substring using pattern search
 regex_search(Email, '(?<name>\w+)@(?<domain>\w+.com)',0, 2)  DomainOf1stEmailByIndex, --extract 1st email (zero based index) and get domain name (by group name). For 2nd argument you can use numeric index or named argument. Both arguments are zero based index. 
 regex_search(Email, '(?<name>\w+)@(?<domain>\w+.com)',2, 2)  DomainOf3rdEmailByIndex, --extract 3rd email (zero based index) and get 2nd part of match (i.e. domain name). Both arguments are zero based index.
 regex_search('a@x.com | b@y.com | c@z.com', '(?<name>\w+)@(?<domain>\w+.com)','-0', 2)  DomainOfLastEmail, --extract last email (use negative sign in quote - zero based index) and get 2nd part of match (i.e. domain name). Both arguments are zero based index.
 regex_search(
       'a@x.com | b@y.com | c@z.com'
     , '(?<name>\w+)@(?<domain>\w+.com)'
     , '*' --occurrence match index ( * , N or -N ) negative number will do reverse find (e.g. to get last match use -0 , to get second last use -1)
     , 2  --group index from match (default is full match or -1)
     --, 0  -- ignore case for pattern match (0=strict match, 1=ignore case, default is 0) 
     --, 0  -- throw error if not matched 0=don't throw error, 1=throw error
     --, '#'  -- separator for multi match
    )  GetAllDomains --extract domains from all emails and show as email (zero based index) and get 2nd part of match (i.e. domain name). Both arguments are zero based index.    
FROM $ WITH (DATA= 'SSN,Email
111-222-4444,a@x.com | b@y.com | c@z.com
111-X2Z-AB44,a@x.com | b@y.com | c@z.com
')

Functions Using Placeholder Functions anywhere in SQL

This example shows how to use placeholders functions anywhere in your SQL Query. Placeholders are replaced in SQL text before Parser so you can use it anywhere in SQL. Another advantage of placeholder function is it doesn't invoke client side query processing engine unlike other advanced SQL constructs (e.g. WHERE, GROUP BY, ORDER BY, UDF). Placeholders are searched and replaced before parser can analyze the SQL query. Here are list of placeholder functions.

<<FUN_NOW>>
<<FUN_TODAY>>
<<today+2d,FUN_TO_DATE>>
<<yearstart,FUN_TO_DATE>>
<<monthstart-1d,FUN_TO_DATE>>
<<now+2h,FUN_TO_DATETIME>>
<<your_file_path,FUN_READFILE>>
<<input_text,FUN_BASE64ENC>>
<<input_text,FUN_BASE64ENC>>
<<input_text,FUN_BASE64DEC>>
<<input_text,FUN_URLENC>>
<<input_text,FUN_URLDEC>>
<<date_format,FUN_TODAY>>
<<date_format,FUN_TO_UTC_DATE>>
<<date_format,FUN_TO_UTC_DATETIME>>
<<date_format,FUN_TO_LOCAL_DATE>>
<<date_format,FUN_TO_LOCAL_DATETIME>>

Full list of functions found here: https://zappysys.com/links/?id=10103

Where date_format can be from any valid format specifiers from here https://docs.microsoft.com/en-us/dotnet/standard/base-types/custom-date-and-time-format-strings

Examples:
select * from $ WITH (SRC='http://httpbin.org/get', HEADER='Authtorization: Basic <<Myuser12:MyP@ssW!,FUN_BASE64ENC>>')
select * from $ WITH (SRC='http://httpbin.org/get?id=<<FUN_NEW_GUID>>')
select * from $ WITH (SRC='<<c:\temp\path.txt,FUN_READFILE>>')
select * from $ WITH (SRC='http://httpbin.org/get?startdate=<<yyyy-MM-dd HH:mm:ss,FUN_TODAY>>')
select * from $ WITH (SRC='http://httpbin.org/get', HEADER='date:<<2012-01-01T00:00:00,FUN_TO_UTC_DATE>>')
 
SELECT * FROM $ WITH(SRC='http://httpbin.org/html?date-para=<<yyyy-MM-dd,FUN_TODAY>>')

Functions Use Function(s) without FROM clause

This example shows how to call function(s) without using FROM clause. 
SELECT RTRIM('trimmed     ') Col1, 
               DATE('now', '+5 day') Col2

Advanced Options Custom Search / Replace (Remove special characters)

This example shows how to use custom search/replace feature. This function is invoked before parser parse data so its useful for some unique scenario which needs removal of conflicting characters, renaming columns etc. 
SELECT * FROM $ 
WITH 
(DATA='Name,Age,Income,Hiredate,Log
"Bob",55,5000.00,"2018-01-01","Offer1 \"mirrors\" Drive, LLC."
"Sam",51,2000.00,"2016-02-01","Offer2 \"mirrors\" Drive, LLC."
"John",45,3000.00,"2014-07-01","Offer3 \"mirrors\" Drive, LLC."
'
,ColumnDelimiter=','
,EnableCustomReplace=1
,SearchFor='\"'  --//or USE: --regex  , --regex-ic (case-insensitive) or no suffix for plain text search.
,ReplaceWith='""'
)

Advanced Options Query Multiple URLs / Paths without UNION keyword

This example shows how to call multiple URLs and Union results. Use this approach when you dont have an option for API pagination or you want to query selected Files / URLs only. You can also use temp tables along with UNION statement but this approach can be better because it doesnt invoke client side engine. 
SELECT * FROM $ WITH 
(
--//separate URLs or Local Paths using double colon ( :: ) or new line (like below). 
--//Example of double colon :: as separator
--//http://a.com/storeid=1::http://a.com/storeid=5

SRC='https://zappysys.com/downloads/files/test/cust-1.csv
     https://zappysys.com/downloads/files/test/cust-2.csv', 
EnableMultiPathMode='True'
)

Language Features DateTime field Compare in WHERE / ORDER BY

This example shows how to use date time field in WHERE or / ORDER BY. Date Time field needs special handling. You have to use DATETIME function else it will do string compare rather true date time compare. Foe example WHERE OrderDate<=DATETIME('1997-12-31 00:00:00') -- OR WHERE OrderDate<=DATE('1997-12-31'). You must use DATETIME either left side or right side. Also must use 'yyyy-MM-dd' or 'yyyy-MM-dd HH:mm:ss' or 'yyyy-MM-dd HH:mm:ss.fff' format (where fff is milliseconds) 
SELECT * FROM $ 
WHERE OrderDate<=DATETIME('1997-12-31 00:00:00') -- OR use DATE('1997-12-31') DateTime column can be queried this way. You must wrap DATETIME function around it. Also must use 'yyyy-MM-dd' or 'yyyy-MM-dd HH:mm:ss'  or 'yyyy-MM-dd HH:mm:ss.fff' format (where fff is milliseconds)
ORDER BY DATETIME(OrderDate) 
WITH (SRC='https://zappysys.com/downloads/files/test/invoices.csv')

Language Features Group By / Limit / Order By

This example shows how to use GROUP BY / ORDER BY and LIMIT clauses. 
SELECT 
  Country AS Invoice_Country
, SUM(UnitPrice * Quantity) AS Invoice_Total
FROM $ 
WHERE Discount > 0
--AND OrderDate<=DATETIME('1997-12-31 00:00:00') -- OR use DATE('1997-12-31') DateTime column can be queried this way. You must wrap DATETIME function around it. Also must use 'yyyy-MM-dd' or 'yyyy-MM-dd HH:mm:ss'  or 'yyyy-MM-dd HH:mm:ss.fff' format (where fff is milliseconds)
GROUP BY Country 
HAVING SUM(UnitPrice * Quantity) > 1000
ORDER BY Invoice_Total DESC--,DATETIME(OrderDate) 
LIMIT 3
WITH (SRC='https://zappysys.com/downloads/files/test/invoices.csv')

Language Features Case Statement

This example shows how to write CASE statement to select / output different value based on multiple conditions. 
SELECT   
  Name 
, CASE Age 
 WHEN 55 THEN 55+1 
 WHEN 51 THEN 51+1 
 ELSE 0 
 END ThisIsCaseColumn 
FROM $ 
WITH 
(DATA='Name|Age|Income|Hiredate
Bob|55|5000.00|2018-01-01
Sam|51|2000.00|2016-02-01
John|45|3000.00|2014-07-01
'
,ColumnDelimiter='|'
)

Language Features SELECT INTO (Temporary Table) / Multi Statements

This example shows how to use SELECT INTO statement to save result into temporary table and use it later in the same batch. Temp table is indicated by # prefix (e.g. #tmp). This example also uses multiple statements in the same batch. If you have multiple results in the same batch (i.e. SELECT * FROM ) then only last result is returned and others results are discarded. Each statement must be separated by semi-colon ( ; ) 
SELECT * INTO #tmp FROM $ 
WITH 
(
--enter path in SRC or use static value in DATA
--SRC='http://some/api/data.csv'
--SRC='C:\some*.csv'
--SRC='C:\somefile.csv'
--OR--
DATA='Name|Age|Income|Hiredate
Bob|55|5000.00|2018-01-01
Sam|51|2000.00|2016-02-01
John|45|3000.00|2014-07-01
'
,ColumnDelimiter='|'
);
            
--//second statement in the same batch 
select * from #tmp 
where age > 45
--AND SomeDateColumn=DATETIME('2012-12-31 00:00:00')  --DateTime column can be queried this way... Must use 'yyyy-MM-dd HH:mm:ss' format
;

Language - JOIN Statement using SELECT INTO / Multi Statements

This example shows how to use SELECT INTO statement and use of multiple statements in the same batch. Output from only last SELECT is returned if you have multiple SELECT * FROM in the same batch. Each statement must be separated by semi-colon ( ; ) 

SELECT * INTO #cust FROM $ 
WITH (
--enter path in SRC or use static value in DATA
--SRC='http://some/api/customers.csv'
--SRC='C:\cust*.csv'
--SRC='C:\customers.csv'
DATA='customerid,name
1,AAA
2,BBB
3,CCC
'
);

SELECT * INTO #ord FROM $
WITH (
DATA='orderid,customerid,orderdate,total
1000,1,2012-01-01T00:00:00,2000.50
1001,1,2012-01-02T00:00:00,1000.50
1002,2,2013-01-01T00:00:00,5000.70
1003,2,2013-01-02T00:00:00,6000.70
'
);

--//second statement in the same batch 
SELECT c.customerid,o.orderid,o.orderdate,o.total 
FROM #cust c
INNER JOIN #ord o ON c.customerid=o.customerid
--LEFT OUTER JOIN #ord o ON c.customerid=o.customerid
--WHERE o.orderdate=DATETIME('2012-01-01 00:00:00') --for datetime column format must be queried in 'yyyy-MM-dd HH:mm:ss' format only
--To Use greater than less than must need to use DATETIME function (e.g. WHERE o.OrderDate<=DATETIME('1997-12-31 23:12:59')
;

Language Features UNION ALL / UNION Statement

This example shows how to write UNION or UNION ALL statement to combine results from multiple SQL queries. To remove duplicate rows from result use UNION rather than UNION ALL. 

SELECT * into #tbl1 FROM $ 
WITH (
--enter path in SRC or use static value in DATA
--SRC='http://some/api/data.csv'
--SRC='C:\some*.csv'
--SRC='C:\somefile.csv'

DATA='Name|Age|Income|Hiredate
Bob|55|5000.00|2018-01-01
Sam|51|2000.00|2016-02-01'

,ColumnDelimiter='|'
);

SELECT * into #tbl2 FROM $ 
WITH (DATA='Name|Age|Income|Hiredate
John|45|3000.00|2014-07-01' 

,ColumnDelimiter='|'
);

select * from #tbl1
UNION ALL
select * from #tbl2;

Language Features Basic SQL queries

Basic query examples. 

--Whenever Possible try to write Simple Query. When you use WHERE / GROUP BY / ORDER BY Expressions. Driver may invoke Client side processing if server side doesnt support that construct.
--For comment use line comment with two dash (e.g. --my comment) or use block comment for multi line comment (e.g. /*my comment*/ )
--Any query must contain at least two required parts
--data source (or table) names and a list of column names
--column names come first (preceded by SELECT keyword)
--table names follow (preceded by FROM keyword)

--Here is the query that returns all rows with all columns (* stands for all columns) from 'Accounts' table
SELECT * FROM Accounts

--Use quoted identifiers when you have space or other character in names (e.g. Column or Table name contains space)
SELECT ID, "Account Name" FROM "Closed Accounts"
SELECT ID, [Account Name] FROM [Closed Accounts]

--returns all rows from 'Accounts' table, each row will have Id and Amount columns
SELECT Id, Amount FROM Accounts

--returns only those rows of 'Accounts' table that meet next condition: Amount is greater or equal to 1000.0
SELECT Id, Amount FROM Accounts WHERE Amount >= 1000.0

--returns only those rows of 'Accounts' table that meet next condition: Amount is greater than 1000 or DepartamentID is equal to 123 
SELECT Id, Amount FROM Accounts WHERE (Amount > 1000.0 OR DepartamentID = 123)

--returns only those rows of 'Accounts' table that meet next condition: DepartamentID is equal to 1, 101 or 202 
SELECT Id, Amount FROM Accounts WHERE DepartamentID IN (1, 101, 202)

--returns only those rows of 'Accounts' table that meet next condition: DepartamentID is equal to 321 and Amount is less than 100 
SELECT Id, Amount FROM Accounts WHERE DepartamentID = 321 AND Amount < 100

--returns only those rows of 'Persons' table that meet next condition: Name column value starts with 'John'
SELECT * FROM Person WHERE Name LIKE 'John%'

--case statement
SELECT 
 FirstName,
 LastName,
 CASE Country 
  WHEN 'US' THEN 'NA' 
  WHEN 'Canada' THEN 'NA'
  WHEN 'India' THEN 'Asia'
  WHEN 'China' THEN 'Asia'
  ELSE 'Unknown' 
 END ColRegion 
 FROM Person 

--escaping string values (use of \n \r \t \v allowed)
SELECT * FROM MyTable WITH( Body=@'Line1\nLine2')

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