Ballerina SQL Library

This library provides the generic interface and functionality to interact with an SQL database. The corresponding database clients can be created by using specific database libraries such as mysql or using the Java Database Connectivity library jdbc.

List of database libraries

Ballerina now has the jdbc library as the generic DB connector library to connect to any relational database by simply providing the JDBC URL and the other related properties.

Ballerina also provides specially designed various database-specific DB connectors so that you can work with different databases, and you can access their DB-specific functionalities.

MySQL library
PostgreSQL library
MSSQL library
OracleDB library

Client

A database client can be created using any of the above-listed database libraries. The operations and functionality explained below can be used with the newly created client.

Tip : The client should be used throughout the application lifetime.

Handle connection pools

All database libraries share the same connection pooling concept and there are three possible scenarios for connection pool handling. For its properties and possible values, see the sql:ConnectionPool.

Note: Connection pooling is used to optimize opening and closing connections to the database. However, the pool comes with an overhead. It is best to configure the connection pool properties as per the application need to get the best performance.

Global, shareable, default connection pool

If you do not provide the poolOptions field when creating the database client, a globally-shareable pool will be created for your database unless a connection pool matching with the properties you provided already exists. The jdbc library sample below shows how the global connection pool is used.
```
jdbc:Client|sql:Error dbClient = 
                           new ("jdbc:mysql://localhost:3306/testdb", 
                            "root", "root");
```
Client-owned, unsharable connection pool

If you define the connectionPool field inline when creating the database client with the sql:ConnectionPool type, an unsharable connection pool will be created. The jdbc library sample below shows how the global connection pool is used.
```
jdbc:Client|sql:Error dbClient = 
                        new (url = "jdbc:mysql://localhost:3306/testdb",
                        connectionPool = { maxOpenConnections: 5 });
```

Local, shareable connection pool

If you create a record of the sql:ConnectionPool type and reuse that in the configuration of multiple clients, a shared connection pool will be created for each set of clients that connects to the same database instance with the same set of properties. The jdbc library sample below shows how the global connection pool is used.

sql:ConnectionPool connPool = {maxOpenConnections: 5};

jdbc:Client|sql:Error dbClient1 =       
                        new (url = "jdbc:mysql://localhost:3306/testdb",
                        connectionPool = connPool);
jdbc:Client|sql:Error dbClient2 = 
                        new (url = "jdbc:mysql://localhost:3306/testdb",
                        connectionPool = connPool);
jdbc:Client|sql:Error dbClient3 = 
                        new (url = "jdbc:mysql://localhost:3306/testdb",
                        connectionPool = connPool);

Close the client

Once all the database operations are performed, you can close the database client you have created by invoking the close() operation. This will close the corresponding connection pool if it is not shared by any other database clients.

Note : The client must be closed only at the end of the application lifetime (or closed for graceful stops in a service).

error? e = dbClient.close();

Or

check dbClient.close();

Database operations

Once the client is created, database operations can be executed through that client. This library defines the interface and generic properties that are shared among multiple database clients. It also supports querying, inserting, deleting, updating, and batch updating data.

Parameterized query

The sql:ParameterizedQuery is used to construct the SQL query to be executed by the client. You can create a query with constant or dynamic input data as follows.

Query with constant values

sql:ParameterizedQuery query = `SELECT * FROM students 
                                WHERE id < 10 AND age > 12`;

Query with dynamic values

int[] ids = [10, 50];
int age = 12;
sql:ParameterizedQuery query = `SELECT * FROM students 
                                WHERE id < ${ids[0]} AND age > ${age}`;

Moreover, the SQL package has sql:queryConcat() and sql:arrayFlattenQuery() util functions which make it easier to create a dynamic/constant complex query.

The sql:queryConcat() is used to create a parameterized query by concatenating a set of parameterized queries. The sample below shows how to concatenate queries.

int id = 10;
int age = 12;
sql:ParameterizedQuery query = `SELECT * FROM students`;
sql:ParameterizedQuery query1 = ` WHERE id < ${id} AND age > ${age}`;
sql:ParameterizedQuery sqlQuery = sql:queryConcat(query, query1);

The query with the IN operator can be created using the sql:ParameterizedQuery like below. Here you need to flatten the array and pass each element separated by a comma.

int[] ids = [1, 2, 3];
sql:ParameterizedQuery query = `SELECT count(*) as total FROM DataTable 
                                WHERE row_id in (${ids[0]}, ${ids[1]}, ${ids[2]})`;

The util function sql:arrayFlattenQuery() is introduced to make the array flatten easier. It makes the inclusion of varying array elements into the query easier by flattening the array to return a parameterized query. You can construct the complex dynamic query with the IN operator by using both functions like below.

int[] ids = [1, 2];
sql:ParameterizedQuery sqlQuery = 
                         sql:queryConcat(`SELECT * FROM DataTable WHERE id IN (`, 
                                          sql:arrayFlattenQuery(ids), `)`);

Create tables

This sample creates a table with two columns. One column is of type int and the other is of type varchar. The CREATE statement is executed via the execute remote method of the client.

// Create the ‘Students’ table with the ‘id’, 'name', and ‘age’ fields.
sql:ExecutionResult result = 
                check dbClient->execute(`CREATE TABLE student (
                                           id INT AUTO_INCREMENT,
                                           age INT, 
                                           name VARCHAR(255), 
                                           PRIMARY KEY (id)
                                         )`);
// A value of the sql:ExecutionResult type is returned for 'result'.

Insert data

These samples show the data insertion by executing an INSERT statement using the execute remote method of the client.

In this sample, the query parameter values are passed directly into the query statement of the execute remote method.

sql:ExecutionResult result = check dbClient->execute(`INSERT INTO student(age, name)
                                                        VALUES (23, 'john')`);

In this sample, the parameter values, which are assigned to local variables are used to parameterize the SQL query in the execute remote method. This parameterization can be performed with any primitive Ballerina type like string, int, float, or boolean and in that case, the corresponding SQL type of the parameter is derived from the type of the Ballerina variable that is passed in.

string name = "Anne";
int age = 8;

sql:ParameterizedQuery query = `INSERT INTO student(age, name)
                                  VALUES (${age}, ${name})`;
sql:ExecutionResult result = check dbClient->execute(query);

In this sample, the parameter values are passed as a sql:TypedValue to the execute remote method. Use the corresponding subtype of the sql:TypedValue such as sql:VarcharValue, sql:CharValue, sql:IntegerValue, etc., when you need to provide more details such as the exact SQL type of the parameter.

sql:VarcharValue name = new ("James");
sql:IntegerValue age = new (10);

sql:ParameterizedQuery query = `INSERT INTO student(age, name)
                                  VALUES (${age}, ${name})`;
sql:ExecutionResult result = check dbClient->execute(query);

Insert data with auto-generated Keys

This sample demonstrates inserting data while returning the auto-generated keys. It achieves this by using the execute remote method to execute the INSERT statement.

int age = 31;
string name = "Kate";

sql:ParameterizedQuery query = `INSERT INTO student(age, name)
                                  VALUES (${age}, ${name})`;
sql:ExecutionResult result = check dbClient->execute(query);'

// Number of rows affected by the execution of the query.
int? count = result.affectedRowCount;

// The integer or string generated by the database in response to a query execution.
string|int? generatedKey = result.lastInsertId;

Query data

These samples show how to demonstrate the different usages of the query operation to query the database table and obtain the result as a stream.

Note: When processing the stream, make sure to consume all fetched data or close the stream.

This sample demonstrates querying data from a table in a database. First, a type is created to represent the returned result set. This record can be defined as an open or a closed record according to the requirement. If an open record is defined, the returned stream type will include both defined fields in the record and additional database columns fetched by the SQL query which are not defined in the record. Note the mapping of the database column to the returned record's property is case-insensitive if it is defined in the record(i.e., the ID column in the result can be mapped to the id property in the record). Additional column names are added to the returned record as in the SQL query. If the record is defined as a closed record, only defined fields in the record are returned or gives an error when additional columns present in the SQL query. Next, the SELECT query is executed via the query remote method of the client. Once the query is executed, each data record can be retrieved by iterating through the result set. The stream returned by the SELECT operation holds a pointer to the actual data in the database, and it loads data from the table only when it is accessed. This stream can be iterated only once.

// Define an open record type to represent the results.
type Student record {
    int id;
    int age;
    string name;
};

// Select the data from the database table. The query parameters are passed 
// directly. Similar to the `execute` samples, parameters can be passed as
// sub types of `sql:TypedValue` as well.
int id = 10;
int age = 12;
sql:ParameterizedQuery query = `SELECT * FROM students
                                WHERE id < ${id} AND age > ${age}`;
stream<Student, sql:Error?> resultStream = dbClient->query(query);

// Iterating the returned table.
check from Student student in resultStream
    do {
       // Can perform operations using the record 'student' of type `Student`.
    };

Defining the return type is optional, and you can query the database without providing the result type. Hence, the above sample can be modified as follows with an open record type as the return type. The property name in the open record type will be the same as how the column is defined in the database.

// Select the data from the database table. The query parameters are passed 
// directly. Similar to the `execute` samples, parameters can be passed as 
// sub types of `sql:TypedValue` as well.
int id = 10;
int age = 12;
sql:ParameterizedQuery query = `SELECT * FROM students
                                WHERE id < ${id} AND age > ${age}`;
stream<record{}, sql:Error?> resultStream = dbClient->query(query);

// Iterating the returned table.
check from record{} student in resultStream 
    do {
        // Can perform operations using the record 'student'.
        io:println("Student name: ", student.value["name"]);
    };

sql:Column annotation can be used to map database columns to Typed record fields of different name. This annotation should be attached to record fields.

type Student record {
    int id;
    @sql:Column { name: "first_name" }
    string firstName;
    @sql:Column { name: "last_name" }
    string lastName
};

The above annotation will map the database column first_name to the Ballerina record field firstName. If the query() method does not return first_name column, the field will not be populated.

Multiple table columns can be matched to a single Ballerina record within a returned record. For instance if the query returns data from multiple tables such as Students and Teachers. All columns of the Teachers table can be grouped to another Typed record such as Teacher type within the Student record.

public type Students record {|
    int id;
    string name;
    string? age;
    float? gpa;
    Teachers teachers;
|}
type Teachers record {|
    int id;
    string name;
|}

In the above scenario also, sql:Column annotation can be used to rename field name such as,

public type Students record {|
    int id;
    string name;
    string? age;
    float? gpa;
    @sql:Column { name: "teachers" }
    Teacher teacher;
|}

There are situations in which you may not want to iterate through the database and in that case, you may decide to use the sql:queryRow() operation. If the provided return type is a record, this method returns only the first row retrieved by the query as a record.

int id = 10;
sql:ParameterizedQuery query = `SELECT * FROM students WHERE id = ${id}`;
Student retrievedStudent = check dbClient->queryRow(query);

The sql:queryRow() operation can also be used to retrieve a single value from the database (e.g., when querying using COUNT() and other SQL aggregation functions). If the provided return type is not a record (i.e., a primitive data type) , this operation will return the value of the first column of the first row retrieved by the query.

int age = 12;
sql:ParameterizedQuery query = `SELECT COUNT(*) FROM students WHERE age < ${age}`;
int youngStudents = check dbClient->queryRow(query);

Update data

This sample demonstrates modifying data by executing an UPDATE statement via the execute remote method of the client.

int age = 23;
sql:ParameterizedQuery query = `UPDATE students SET name = 'John' WHERE age = ${age}`;
sql:ExecutionResult result = check dbClient->execute(query);

Delete data

This sample demonstrates deleting data by executing a DELETE statement via the execute remote method of the client.

string name = "John";
sql:ParameterizedQuery query = `DELETE from students WHERE name = ${name}`;
sql:ExecutionResult result = check dbClient->execute(query);

Batch update data

This sample demonstrates how to insert multiple records with a single INSERT statement that is executed via the batchExecute remote method of the client. This is done by creating a table with multiple records and a parameterized SQL query as same as the above execute operations.

// Create the table with the records that need to be inserted.
var data = [
  { name: "John", age: 25 },
  { name: "Peter", age: 24 },
  { name: "jane", age: 22 }
];

// Do the batch update by passing the batches.
sql:ParameterizedQuery[] batch = from var row in data
                                 select `INSERT INTO students ('name', 'age')
                                           VALUES (${row.name}, ${row.age})`;
sql:ExecutionResult[] result = check dbClient->batchExecute(batch);

Execute SQL stored procedures

This sample demonstrates how to execute a stored procedure with a single INSERT statement that is executed via the call remote method of the client.

int uid = 10;
sql:IntegerOutParameter insertId = new;

sql:ProcedureCallResult result = 
                         check dbClient->call(`call InsertPerson(${uid}, ${insertId})`);
stream<record{}, sql:Error?>? resultStr = result.queryResult;
if resultStr is stream<record{}, sql:Error?> {
    check from record{} value in resultStr
        do {
          // Can perform operations using the record 'result'.
        };
}
check result.close();

Note: Once the results are processed, the close method on the sql:ProcedureCallResult must be called.

Note: The default thread pool size used in Ballerina is: the number of processors available * 2. You can configure the thread pool size by using the BALLERINA_MAX_POOL_SIZE environment variable.

Issues and projects

Issues and Projects tabs are disabled for this repository as this is part of the Ballerina standard library. To report bugs, request new features, start new discussions, view project boards, etc. please visit Ballerina standard library parent repository.

This repository only contains the source code for the package.

Building from the source

Set up the prerequisites

Download and install Java SE Development Kit (JDK) version 21 (from one of the following locations).
- Oracle
- OpenJDK
Download and install Docker.

Note: Start the Docker daemon before running tests.
Export your GitHub personal access token with the read package permissions as follows.
```
 export packageUser=<Username>
 export packagePAT=<Personal access token>
```

Building the source

Execute the commands below to build from source.

To build the library:
```
 ./gradlew clean build
```
To run the integration tests:
```
 ./gradlew clean test
```
To build the package without the tests:
```
 ./gradlew clean build -x test
```

To run only specific tests:

 ./gradlew clean build -Pgroups=<Comma separated groups/test cases>

Tip: The following groups of test cases are available.

Groups	Test cases
connection	connection
pool	pool
transaction	transaction
execute	execute-basic execute-params
batch-execute	batch-execute
query	query-simple-params query-numeric-params query-complex-params query-row
error	error

To disable some specific test groups:

 ./gradlew clean build -Pdisable-groups=<Comma separated groups/test cases>

To debug the tests:

 ./gradlew clean build -Pdebug=<port>
 ./gradlew clean test -Pdebug=<port>

To debug the package with Ballerina language:

 ./gradlew clean build -PbalJavaDebug=<port>
 ./gradlew clean test -PbalJavaDebug=<port>

Publish ZIP artifact to the local .m2 repository:
```
 ./gradlew clean build publishToMavenLocal
```
Publish the generated artifacts to the local Ballerina central repository:
```
 ./gradlew clean build -PpublishToLocalCentral=true
```
Publish the generated artifacts to the Ballerina central repository:
```
./gradlew clean build -PpublishToCentral=true
```

Contributing to Ballerina

As an open source project, Ballerina welcomes contributions from the community.

For more information, go to the contribution guidelines.

Code of conduct

All contributors are encouraged to read the Ballerina code of conduct.

Useful links

For more information go to the sql library.
For example demonstrations of the usage, go to Ballerina By Examples.
Chat live with us via our Discord server.
Post all technical questions on Stack Overflow with the #ballerina tag.

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README.md

README.md

Ballerina SQL Library

List of database libraries

Client

Handle connection pools

Close the client

Database operations

Parameterized query

Create tables

Insert data

Insert data with auto-generated Keys

Query data

Update data

Delete data

Batch update data

Execute SQL stored procedures

Issues and projects

Building from the source

Set up the prerequisites

Building the source

Contributing to Ballerina

Code of conduct

Useful links

Files

README.md

Latest commit

History

README.md

File metadata and controls

Ballerina SQL Library

List of database libraries

Client

Handle connection pools

Close the client

Database operations

Parameterized query

Create tables

Insert data

Insert data with auto-generated Keys

Query data

Update data

Delete data

Batch update data

Execute SQL stored procedures

Issues and projects

Building from the source

Set up the prerequisites

Building the source

Contributing to Ballerina

Code of conduct

Useful links