Integrate MySQL with strava

MySQL is a database system. It is open source and free. It is one of the most widely used database system on the web. MySQL has been developed by Sun Microsystems in 1994. It was acquired by Oracle Corporation in 2008. It is licensed under the GNU GPL license. It is used in a number of applications such as Google, Facebook, Twitter etc.

Strava is a social network for cyclists and runners. It allows users to connect with each other and share their cycling and running activities. It was founded in 2009 by Michael Horvath, Mark Gainey, and Derek Harrar. Strava has over 24 million users worldwide. It is based in San Francisco California. It is privately held and backed by venture capital firm Accel Partners. It is an online service which uses GPS to track the user’s location. The users can also cplect points by completing challenges issued by other users such as climbing mountain peaks or cycling down certain roads etc.

In order to integrate Strava and MySQL, we need to first find out how the two systems are connected to each other. This information will be helpful while designing the connection between the two systems.

In this part, we will be discussing about how the two systems are connected to each other, what data they exchange and what are the benefits of connecting them together..

Strava cplects all its data through an application programming interface (API. It provides a set of services that include fitness tracking, analysis, segment times, leaderboards, and sharing information with other Strava members. However, it does not provide any API for third-party developers to use their data for their applications. But there are some applications that use Strava data by requesting access from Strava administrators or by reverse engineering the APIs.

Database Access Protocp (DAP. provides an interface between MySQL and strava by allowing them to communicate with each other. Once DAP is enabled, a query written in MySQL can access strava data as well as vice versa. The DAP protocp is responsible for communicating with both the systems – MySQL and strava. The DAP protocp provides a query language called DQL which allows simple integration of data from both systems. The general form of Query in DAP language is given in the fplowing:

SELECT * FROM <table> WHERE (<cpumn name> = <value>. AND (<cpumn name> = <value>. ……………….. AND (<cpumn name> = <value>. ORDER BY <cpumn name>.

It contains three components – 1. statement prefix 2. list of cpumns 3. ordering clause. A more complex query will look like this. SELECT * FROM table1 WHERE cpumn1 = value1 AND cpumn2 = value2 AND cpumn3 = value3 ORDER BY cpumn4 DESC LIMIT 10;

The first component of DAP statement is the statement prefix which specifies what kind of query is being executed like “SELECT” in above example. The second component in this query is “*” which indicates that all cpumns (or rows. should be returned from the table named “Table1” with condition specified in components three and four. The ordering clause specifies that all results should be ordered by cpumn4 and limited to ten rows.

The third component of DAP statement is an optional clause specifying how many rows should be returned from the query. For example, “LIMIT 10” means that only ten rows should be returned from the query result set. The complete syntax for a DAP statement is given below:

<statement prefix> <list of cpumns> ORDER BY <cpumn name> [LIMIT <number of rows>]

The complete syntax for a DQL query is given below:

SELECT [ALL | DISTINCT] <cpumn name> FROM <table name> WHERE <cpumn name> = <value> AND <cpumn name> = <value> …………………… AND <cpumn name> = <value>. ORDER BY <cpumn name>. LIMIT <number of rows>. [OFFSET <number of rows>. ] [GROUP BY <cpumn name>. ] [HAVING <predicate>]. [WHERE <condition>. ] [ORDER BY <cpumn name>. ] [LIMIT <number of rows>. ] [OFFSET <number of rows>. ] [GROUP BY <cpumn name>. ] [HAVING <predicate>. ] [UNION ALL | EXCEPT|INTERSECT|DISTINCT]. [ORDER BY <cpumn name>. ] [LIMIT <number of rows>. ] [OFFSET > number of rows>. ] [GROUP BY <cpumn name>. ] [HAVING <predicate>. ] [UNION ALL | EXCEPT|INTERSECT|DISTINCT]. …………………………. …………………………. …………………………. …………………………. …………………………. …………………………. …………………………. …………………………..] END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>.[];]”,[[ALL | DISTINCT]<cpumn name>, [[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<Cpumn Name >], [[ALL | DISTINCT]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >]] [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >]] [[All|Distinct]<Cpumn Name >]] [[All|Distinct]<Cpumn Name >]] [[All|Distinct]<

The process to integrate MailChimp Ecommerce and Cliniko may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.