MySQL
Creating a data generator for MySQL. You will build a Docker image that will be able to populate data in MySQL for the tables you configure.
Requirements
- 10 minutes
- Git
- Gradle
- Docker
Get Started
First, we will clone the data-caterer-example repo which will already have the base project setup required.
If you already have a MySQL instance running, you can skip to this step.
MySQL Setup
Next, let's make sure you have an instance of MySQL up and running in your local environment. This will make it easy for us to iterate and check our changes.
Permissions
Let's make a new user that has the required permissions needed to push data into the MySQL tables we want.
Following permissions are required when enabling configuration.enableGeneratePlanAndTasks(true)
as it will gather
metadata information about tables and fields from the below tables.
SQL Permission Statements
Plan Setup
Create a file depending on which interface you want to use.
- Java:
src/main/java/io/github/datacatering/plan/MySQLJavaPlan.java
- Scala:
src/main/scala/io/github/datacatering/plan/MySQLPlan.scala
- YAML:
docker/data/custom/plan/my-mysql.yaml
In docker/data/custom/plan/my-mysql.yaml
:
- Click on
Connection
towards the top of the screen - For connection name, set to
my_mysql
- Click on
Select data source type..
and selectMySQL
- Set URL as
jdbc:mysql://localhost:3306/customer
- Set username as
root
- Set password as
root
- Optionally, we could set a schema and table name but if you have more than schema or table, you would have to create new connection for each
- Click on
Create
- You should see your connection
my_mysql
show underExisting connections
- Click on
Home
towards the top of the screen - Set plan name to
my_mysql_plan
- Set task name to
mysql_task
- Click on
Select data source..
and selectmy_mysql
This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.
Connection Configuration
Within our class, we can start by defining the connection properties to connect to MySQL.
var accountTask = mysql(
"customer_mysql", //name
"jdbc:mysql://host.docker.internal:3306/customer", //url
"root", //username
"root", //password
Map.of() //optional additional connection options
)
Additional options such as SSL configuration, etc can be found here.
val accountTask = mysql(
"customer_mysql", //name
"jdbc:mysql://host.docker.internal:3306/customer", //url
"root", //username
"root", //password
Map() //optional additional connection options
)
Additional options such as SSL configuration, etc can be found here.
In docker/data/custom/application.conf
:
- We have already created the connection details in this step
Schema
Let's create a task for inserting data into the customer.accounts
and customer.balances
tables as
defined underdocker/data/sql/mysql/customer.cql
. This table should already be setup for you if you followed this
step.
Trimming the connection details to work with the docker-compose MySQL, we have a base MySQL connection to define
the table and schema required. Let's define each field along with their corresponding data type. You will notice that
the text
fields do not have a data type defined. This is because the default data type is StringType
which
corresponds to text
in MySQL.
{
var accountTask = mysql("customer_mysql", "jdbc:mysql://host.docker.internal:3306/customer")
.table("customer", "accounts")
.fields(
field().name("account_number"),
field().name("amount").type(DoubleType.instance()),
field().name("created_by"),
field().name("created_by_fixed_length"),
field().name("open_timestamp").type(TimestampType.instance()),
field().name("account_status")
);
}
val accountTask = mysql("customer_mysql", "jdbc:mysql://host.docker.internal:3306/customer")
.table("customer", "accounts")
.fields(
field.name("account_number"),
field.name("amount").`type`(DoubleType),
field.name("created_by"),
field.name("created_by_fixed_length"),
field.name("open_timestamp").`type`(TimestampType),
field.name("account_status")
)
In docker/data/custom/task/mysql/mysql-task.yaml
:
- Click on
Generation
and tick theManual
checkbox - Click on
+ Field
- Add name as
account_number
- Click on
Select data type
and selectstring
- Click on
+ Field
and add name asamount
- Click on
Select data type
and selectdouble
- Click on
+ Field
and add name ascreated_by
- Click on
Select data type
and selectstring
- Click on
+ Field
and add name ascreated_by_fixed_length
- Click on
Select data type
and selectstring
- Click on
+ Field
and add name asopen_timestamp
- Click on
Select data type
and selecttimestamp
- Click on
+ Field
and add name asaccount_status
- Click on
Select data type
and selectstring
Depending on how you want to define the schema, follow the below:
- Manual schema guide
- Automatically detect schema from the data source, you can simply
enable
configuration.enableGeneratePlanAndTasks(true)
- Automatically detect schema from a metadata source
Additional Configurations
At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will have unique values generated.
In docker/data/custom/application.conf
:
- Click on
Advanced Configuration
towards the bottom of the screen - Click on
Flag
and click onUnique Check
- Click on
Folder
and enter/tmp/data-caterer/report
forGenerated Reports Folder Path
Execute
To tell Data Caterer that we want to run with the configurations along with the accountTask
, we have to call execute
. So our full plan run will look like this.
public class MySQLJavaPlan extends PlanRun {
{
var accountTask = mysql("customer_mysql", "jdbc:mysql://host.docker.internal:3306/customer")
.table("customer", "accounts")
.fields(
field().name("account_number").regex("ACC[0-9]{8}").primaryKey(true),
field().name("amount").type(DoubleType.instance()).min(1).max(1000),
field().name("created_by").expression("#{Name.name}"),
field().name("created_by_fixed_length").sql("CASE WHEN account_status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
field().name("open_timestamp").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
field().name("account_status").oneOf("open", "closed", "suspended", "pending")
);
var config = configuration()
.generatedReportsFolderPath("/opt/app/data/report")
.enableUniqueCheck(true);
execute(config, accountTask);
}
}
class MySQLPlan extends PlanRun {
val accountTask = mysql("customer_mysql", "jdbc:mysql://host.docker.internal:3306/customer")
.table("customer", "accounts")
.fields(
field.name("account_number").primaryKey(true),
field.name("amount").`type`(DoubleType).min(1).max(1000),
field.name("created_by").expression("#{Name.name}"),
field.name("created_by_fixed_length").sql("CASE WHEN account_status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
field.name("open_timestamp").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
field.name("account_status").oneOf("open", "closed", "suspended", "pending")
)
val config = configuration
.generatedReportsFolderPath("/opt/app/data/report")
.enableUniqueCheck(true)
execute(config, accountTask)
}
No additional steps for YAML.
You can save your plan via the Save
button at the top.
Run
Now we can run via the script ./run.sh
that is in the top level directory of the data-caterer-example
to run the
class we just
created.
- Click the button
Execute
at the top - Progress updates will show in the bottom right corner
- Click on
History
at the top - Check for your plan name and see the result summary
- Click on
Report
on the right side to see more details of what was executed
Your output should look like this.
COUNT(1)
10
id account_number account_status created_by created_by_fixed_length customer_id_int customer_id_smallint customer_id_bigint customer_id_decimal customer_id_real customer_id_double open_date open_timestamp last_opened_time payload_bytes
1 0507581306 suspended Pete Pouros event 510 NULL NULL NULL NULL NULL NULL 2023-08-08 06:55:09 NULL NULL
2 0998204877 pending Kraig Balistreri event 987 NULL NULL NULL NULL NULL NULL 2023-09-04 10:09:27 NULL NULL
3 1491488574 pending Mrs. Ali DuBuque event 43 NULL NULL NULL NULL NULL NULL 2024-05-11 06:43:07 NULL NULL
4 5209805789 suspended Lorilee Gislason event 975 NULL NULL NULL NULL NULL NULL 2023-08-30 20:54:40 NULL NULL
5 5901422604 closed Elbert Johnston eod 369 NULL NULL NULL NULL NULL NULL 2023-08-07 13:46:58 NULL NULL
6 7930880350 pending Charlie McCullough event 797 NULL NULL NULL NULL NULL NULL 2024-02-05 15:16:46 NULL NULL
7 8248715689 pending Mila Becker event 236 NULL NULL NULL NULL NULL NULL 2024-06-07 08:51:29 NULL NULL
8 8709384015 closed Dinah Zemlak eod 965 NULL NULL NULL NULL NULL NULL 2024-01-14 20:58:51 NULL NULL
9 9463221576 closed Les Hettinger eod 83 NULL NULL NULL NULL NULL NULL 2023-06-27 16:05:22 NULL NULL
10 9903967165 closed Ms. Napoleon Walker eod 795 NULL NULL NULL NULL NULL NULL 2023-10-07 13:42:24 NULL NULL
Also check the HTML report, found at docker/sample/report/index.html
, that gets generated to get an overview of what
was executed.
Validation
If you want to validate data from MySQL, follow the validation documentation found here to help guide you.