ODBC JSON / REST API Driver

JSON ODBC Driver for REST API and files

JSON ODBC Driver can be used to read / write data from Web API / Cloud Data sources or Local JSON files. Easily integrate virtually any Web API inside your BI / ETL / Reporting / Tools or Programming Languages. Write familiar SQL queries to read /write data. This driver supports latest API security standards (i.e. OAuth 2.0, JWT, X509), and optimized for large data files. This driver comes with native support for SQL Server using Data Gateway.

This driver is using same high performance data processing engine which was originally developed for JSON / REST Connector in SSIS PowerPack. ODBC PowerPack and SSIS PowerPack, both products share many UI elements and concepts. We wrote many articles to explain various features in one product but concepts are mostly same in both products so hope you can reuse steps explained in different articles even though screenshots /steps may be slightly different.

Feature Summary

  • Read /write data from Web API / REST API or local JSON files using familiar SQL Query language
  • De-normalize nested JSON into a flat document just like a regular database table
  • Integrate insight any ODBC Compliant Reporting / ETL tools (e.g. Power BI, Tableau, QlikSSRSInformaticaExcel, SSIS)
  • Support for programming languages such as JAVA, C#, Python, PowerShell and more…
  • Tight integration with Microsoft SQL Server (With support for Gateway Option – No need to install Driver on Server)
  • Familiar SQL Query language support including WHERE, ORDER BY, GROUP BY constructs
  • Support for custom math/ string / datetime / JSON functions in SQL query Language
  • The unparalleled performance with large file support (See how we processed 3 million rows in 3 mins)
  • POST data to API server, Upload File to server (Support MultiPart File Upload).
  • Latest security standards such as OData,  OAuth and JWT (RFC 7519) (Call services like Google API, Facebook …)
  • Call API using Dynamic Token Authenticate or Basic authorization (i.e. UserID / Password)
  • Reading from multiple files using wildcard pattern (e.g. Year??_data*.json)
  • Support for Array Flattening (Child Array Items as Columns)
  • HTTP Request with Custom Headers / Body / URL Parameters.
  • REST API Pagination Support to consume multiple requests / loop (many options explained here and here)
  • Support for 2D arrays and Complex Transformation (See this article and this for Google BigQuery)
  • Option for Pivoting nested data (Convert Columns to Rows)
  • Ability to read raw JSON / indent output from inner array
  • HTTPS / SSL / TLS 1.2 Support for more secure communication
  • Support for passing cookies
  • Support for Proxy Server

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Featured Articles

Integration Scenarios (Reporting / ETL / BI / Programming)

ZappySys ODBC Drivers built using ODBC standard which is widely adopted by industry for a long time. Which mean the majority of BI Tools / Database Engines / ETL Tools already there will support native / 3rd party ODBC Drivers. Below is the small list of most popular tools / programming languages our Drivers support. If your tool / programming language doesn’t appear in the below list, which means we have not documented use case but as long as your tool supports ODBC Standard, our drivers should work fine.

ZappySys ODBC Drivers for REST API, JSON, XML - Integrate with Power BI, Tableau, QlikView, QlikSense, Informatica PowerCenter, Excel, SQL Server, SSIS, SSAS, SSRS, Visual Studio / WinForm / WCF, Python, C#, VB.net, PHP. PowerShell

ZappySys Drivers for REST API, JSON, XML – Integrate with Power BI, Tableau, QlikView, QlikSense, Informatica PowerCenter, Talend, SQL Server, SSIS, SSAS, SSRS, Visual Studio / WinForm / WCF, Python, C#, JAVA, VB.net, PHP. PowerShell

ETL Tools
Integration

Programming Languages
Integration

ODBC Integration Screenshots in various tools

  • Tableau Integration - ODBC Driver connection for REST API / XML / JSON / SOAP / OData
    Tableau Integration - ODBC Driver connection for REST API / XML / JSON / SOAP / OData

Access Live REST API / JSON data inside Microsoft SQL Server (T-SQL)

ZappySys has developed a unique bridge called ZappySys Data Gateway Service (ZSDG) which can help to access our Drivers in SQL Server or JAVA based Apps or Non-Windows OS (e.g. Mac, Linux). ZappySys Data Gateway service can run in the cloud (VM Exposed to internet) or you can install locally on-premises.

Client application can connect to Data Gateway Service using any Microsoft SQL Server compatible driver (i.e. SQL Server ODBC, OLEDB, ADO.net or JDBC Driver or Linked Server in SQL Server). Data Gateway can be installed on the central server where you can have many users who can connect to Data Gateway to use ZappySys Drivers without installing anything on their machine. Data Gateway Service understands TDS Protocol and Client App can be running on any machine or operating system (MacOS, Linux, Windows).

ZappySys Data Gateway - Connect to JSON, XML, OData, REST API, SOAP data sources using TDS protocol compatible drivers (or any SQL Server ODBC, JDBC, OLEDB, ADO.net driver )

ZappySys Data Gateway – Connect to JSON, XML, OData, REST API, SOAP data sources using TDS protocol compatible drivers (or any SQL Server ODBC, JDBC, OLEDB, ADO.net driver )

Microsoft SQL Server Integration using Data Gateway Service (T-SQL)

Here is one possible use case of using Data Gateway Service. Any DBA or Non-Programmer can start writing T-SQL queries to use ZappySys Drivers (e.g. REST API, JSON, XML, CSV data source) right inside your usual T-SQL code  (You can access data from Salesforce, REST API, JSON, XML, CSV inside Views, Functions or SQL Stored Procedures).

This approach can eliminate any possible ETL work needed to extract data outside of SQL Server, you can start using your existing SQL Skill to achieve previously hard to achieve scenarios without coding.

For many other possible use case of Data Gateway click here.

SQL Server Integration Example - Query REST API / JSON Files / XML Files inside SQL Server using ZappySys Data Gateway Service (Use of Linked Server / OPENQUERY Feature in T-SQL Code / SSMS)

SQL Server Integration Example – Query REST API / JSON Files / XML Files inside SQL Server using ZappySys Data Gateway Service (Use of Linked Server / OPENQUERY Feature in T-SQL Code / SSMS)

Video Tutorial – Calling ZappySys Drivers inside SQL Server (JSON / REST Driver use case)

Here is a short video to demonstrate a use case of Data Gateway. With this approach you can import data from REST API or any other data source for which ZappySys offers Drivers (e.g. Amazon S3, Azure, SFTP, Salesforce, XML , CSV)

SQL Query Language Examples

ZappySys introduced most innovative way to transform your complex API into Flat table using familiar SQL Query Language. Here are some examples of SQL Queries our drivers understand.

To see all examples check this link (JSON / REST examples) Select correct driver node in help file – e.g. JSON here, XML here, CSV here

Familiar SQL Syntax (Where, Group By, Order By)

/* SQL Language Support to query API or JSON/XML Files */
SELECT Country as Invoice_Country, SUM(UnitPrice * Quantity) Total 
FROM value 
WHERE Discount > 0
GROUP BY Country
HAVING SUM(UnitPrice * Quantity)>1000
ORDER BY Total DESC
WITH (SRC='https://services.odata.org/V3/Northwind/Northwind.svc/Invoices?$format=json')

Read from Local File

/* Query JSON/XML File(s) */
SELECT * FROM $ WITH (SRC=@'C:\Data\Customer*_??.json')

GET data from URL (Read Example)

SELECT * FROM value 
WITH ( 
METHOD='GET', 
SRC='https://services.odata.org/V3/Northwind/Northwind.svc/Invoices?$format=json' 
)

POST data to URL (Write Example)

/* Submit data to API - POST Request. You can POST data from file content or supply body as direct string.*/
SELECT * FROM $  
WITH 
(  
 METHOD='POST'  
,HEADER='Content-Type:text/plain||x-hdr1:AAA'  
,SRC='http://httpbin.org/post'  
,BODY='@c:\files\dump.json'  
,IsMultiPart='True'  
)

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%>.json'
,PagingMode='ByUrlPath'
,PagingByUrlAttributeName='<%page%>'
,PagingByUrlEndStrategy='DetectBasedOnRecordCount'
,IncrementBy=1
)

Advanced 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=10092

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.json'
,NextUrlAttributeOrExpr='$.nextpage'
,Filter='$.customers[*]'
,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.json'
,Join1_filter='$.orders[*]'
,Join1_alias='o'
,Join1_NextUrlAttributeOrExpr='$.nextpage'
,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.json'
,Join2_filter='$.items[*]'
,Join2_alias='i'
,Join2_NextUrlAttributeOrExpr='$.nextpage'
,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 Pattern – Download files to local disk / Use functions

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=10092

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.json',
FILTER='$.list[*]',
ALIAS='a',

JOIN1_SRC='[$a.url$]',
JOIN1_ALIAS='b',
JOIN1_SaveContentAsBinary='true'
)

Query Large Compressed File (From URL or Local disk)

This example shows how to read very large file from local disk or URL. You can read uncompressed or compressed file (in our example its GZip compressed file). Using –FAST option in your Filter enables Streaming Mode. To use STREAM Mode you must turn off IncludeParentColumns option as per the example.

SELECT * FROM $
--LIMIT 10
WITH(
Filter='$.LargeArray[*]--FAST' --//Adding --FAST option turn on STREAM mode (large files)
,SRC='https://zappysys.com/downloads/files/test/large_file_10k_largearray_prop.json.gz'
--,SRC='C:\Data\large_file*.json.gz'
,IncludeParentColumns='False'  --//This Must be OFF for STREAM mode (read very large files)
,FileCompressionType='GZip' --Zip or None (Zip format only available for Local files)
)

Support for various authentication types

ZappySys Drivers support various authentication types

Option Description
Notset Not set
Windows Default Windows Credentials – Current User Credentials
Basic Basic – UserID/Password
NTLM NTLM – UserID/Password/Domain
Kerberos Kerberos – UserID/Password/Domain
SoapWss SOAP WSS – UserID/Password in SOAP Body
Token Static Token / API Key
TokenDynamic Dynamic Token – Two Step Auth (i.e. Login to get token)
TokenJwt JWT Token (RFC 7519)
HashSignature HMAC Signature (i.e. Request Hashing using Key / Password)

 

Custom 2 Step Auth – Dynamic Token Example

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=json'
--,RequestMethod='POST'
--,RequestData='{sessionid: "[$token$]"}'
,Filter='$.rows[*]'
,Header='Content-Type: application/json || 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'
)

Basic Authentication Example (Userid / password based)

SELECT * FROM $
WITH (
SRC='http://httpbin.org/basic-auth/user1/pass123',
DataConnectionType='HTTP',
CredentialType='Basic',
UserName='user1',
Password='pass123'
)

OAuth 2.0 Authentication Example

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'
)

REST / SOAP API Call Settings

Our drivers come with easy to use API query builder with many advanced options to connect to virtually any JSON, XML or CSV based data format from local files or API URL.

ZappySys ODBC Driver UI - setting to read from File or API URL. Read from JSON REST API / XML SOAP Web Service / CSV Format.

ZappySys Driver UI – setting to read from File or API URL. Read from JSON REST API / XML SOAP Web Service / CSV Format.

SQL Query Editor / Live Preview / Examples

Our drivers come with easy to use Query editor so you can test any API

ODBC Driver - SQL Query Editor / Live Preview

ODBC Driver – SQL Query Editor / Live Preview

Security Standards (OAuth, JWT, Basic Auth, X509)

Our ODBC Drivers tested with wide variety of security standards such as OAuth 1.0, OAuth 2.0, Basic Auth, JWT, X509 Certificate. We also support latest encryption standards for secure http (such as SSL/TLS 1.2)

Here is an example of our easy to use OAuth Connection Manager which can be used to connect to any API with OAuth 1.0 or OAuth 2.0 Standards.

OAuth Connection for API Providers (Such as Facebook, Google, Twitter, Linkedin, Amazon, Hubspot, MailChimp...)

OAuth Connection for API Providers (Such as Facebook, Google, Twitter, Linkedin, Amazon, Hubspot, MailChimp…)

Step-By-Step Video Tutorial (6 Parts Video Series)

Here is full length tutorial if you like to get started with ZappySys Drivers. Below tutorial shows usecase of REST API integration in Excel and Power BI. It covers many topics such as below. We used JSON Driver as an example but many concepts mentioned in below tutorial can be applicable to all other ZappySys drivers.

  • Configure ODBC DSN
  • Making HTTP GET Calls
  • Authenticating REST API requests
  • Pagination in REST API
  • Building simple and advanced SQL Queries
  • POST data to REST API
  • Excel Example – Import REST API in Excel
  • Power BI Example – Import REST API in Power BI

Articles


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Read data from QuickBooks Online into SQL Server via ODBC Driver

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Read / Write REST API data in Talend (JSON / XML / SOAP)

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Read JIRA data in SSRS Reports (SQL Server Reporting Services)

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How to Import JIRA data in Power BI

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Import REST API in Tableau – Read JSON, SOAP XML, CSV

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