GitHub

Building the JDBC URL

After installing the license, access the connection management page by executing the command "java -jar kingswaysoft.jdbc.jar". Enter the necessary details, and the program will automatically generate the JDBC connection URL. Users can click Test Connection to test the generated URL and Copy to Clipboard to copy the connection string for use within the application where the JDBC driver is being used.

Note: If a license is not installed, you can still use the connection manager to generate a JDBC URL, but the 'Test Connection' feature will be disabled.

connectionmanage

There are four ways to connect to GitHub

OAuth App Authorization Code

A pre-existing token can be used to establish a connection. If you wish to generate a new access token, click Generate Access Token to go through the token generation process. You can use the generated access token to connect.

GitHub App Authorization Code

A pre-existing token can be used to establish a connection. If you wish to generate a new access token, click Generate Token File to go through the token generation process. You can use the generated token to connect.

GitHub App JWT

Your unique GitHub App Id can be used along with the private key file used to sign the JWT to establish a connection. The App Id along with your private key file are used to generate a valid JWT for making requests to the GitHub API.

Personal Access Token

Users can choose to use their personal access token to establish a connection.

Using the JDBC Driver

Explore detailed examples in this section that demonstrate the application of JDBC classes such as Connection, Statement, and ResultSet to effectively manage interactions with GitHub data. This section covers the use of regular statements and prepared statements for executing complex or frequently executed queries.

Executing Statements

Once you've connected from your code (see Connecting with DriverManager and Connecting with DataSource), you can execute SQL statements using the Statement class. Refer to the Executing Prepared Statements section for information on how to execute parameterized statements.

SELECT

Use the Statement class's generic execute method or the executeQuery method to execute SQL statements that return data. To retrieve the results of a query, you would then call the getResultSet method of the Statement.

String sql = "SELECT * FROM repository";
try {
    ResultSet resultSet = statement.executeQuery(sql);
    LOGGER.info(resultSet.toString());
} catch (SQLException e) {
    LOGGER.severe(e.toString());
}

INSERT

Use either the generic execute method or the executeUpdate method of the Statement class to execute an INSERT operation.

The results of SQL queries are saved in a ResultSet. You can retrieve the ResultSet after execution to view the inserted data's ID, exceptions raised during execution, and details of the affected data.

String sql = "INSERT INTO repository (input-name, input-owner) VALUES ('Hello-World', 'octocat')";
try {
    statement.executeUpdate(sql);
    LOGGER.info(statement.getResultSet().toString());
} catch (SQLException e) {
    LOGGER.severe(e.toString());
}
id,errorcode,errormessage,processdata,haserror
MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY=,null,null,{"var1":{"name":"Hello-World","owner":"octocat"}},false

UPDATE

Use either the generic execute method or the executeUpdate method of the Statement class to execute an UPDATE operation.

The results of SQL queries are saved in a ResultSet. You can retrieve the ResultSet after execution to view the updated data's ID, exceptions raised during execution, and details of the affected data.

String sql = "UPDATE repository SET input-name = 'name' WHERE input-repositoryId = 'MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY='";
try {
    statement.executeUpdate(sql);
    LOGGER.info(statement.getResultSet().toString());
} catch (SQLException e) {
    LOGGER.severe(e.toString());
}
id,errorcode,errormessage,processdata,haserror
MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY=,null,null,{"var1":{"repositoryId":"MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY=","name":"name"}},false

DELETE

Use either the generic execute method or the executeUpdate method of the Statement class to execute a DELETE operation.

The results of SQL queries are saved in a ResultSet. You can retrieve the ResultSet after execution to view the deleted data's ID, exceptions raised during execution, and details of the affected data.

String sql = "DELETE FROM ref WHERE input-refId = 'MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY6MzU3MzkzNjE='";
try {
    statement.executeUpdate(sql);
    LOGGER.info(statement.getResultSet().toString());
} catch (SQLException e) {
    LOGGER.severe(e.toString());
}
id,errorcode,errormessage,processdata,haserror
MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY6MzU3MzkzNjE=,null,null,{"var1":{"refId":"MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY6MzU3MzkzNjE="}},false

CallMutation

You can use either the generic execute method or the executeQuery method of the Statement class to execute mutations through a "CallMutation" query. CallMutation statements are formatted similarly to Insert statements but require the full mutation name. The field to output can be specified using an OUT parameter located in the columns list prefixed by "OUT". If the mutation has fields to return (see system.functions and system.functions.columns), an OUT parameter is required.

For example, the corresponding CallMutation Statement for INSERT INTO repository (input-name, input-owner) VALUES ('name', 'owner') is CallMutation createRepository (input-name, input-owner, OUT repository-id) VALUES ('name', 'owner').

The results of SQL queries are saved in a ResultSet. You can retrieve the ResultSet after execution to view the mutation data's ID, exceptions raised during execution, and details of the affected data.

String sql = "CallMutation createRepository (input-name, input-owner, OUT repository-id) VALUES ('Hello-World', 'octocat')";
try {
    statement.executeUpdate(sql);
    LOGGER.info(statement.getResultSet().toString());
} catch (SQLException e) {
    LOGGER.severe(e.toString());
}
id,errorcode,errormessage,processdata,haserror
MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY=,null,null,{"var1":{"name":"Hello-World","owner":"octocat"}},false

Executing Prepared Statements

Using a PreparedStatement can improve performance when you need to execute a SQL statement multiple times with different parameters. Unlike a Statement object, a PreparedStatement object is provided with a SQL statement when it is created, which can then be executed with different values each time. This special type of statement is derived from the more general class, Statement.

Below are the steps outlining how to execute a prepared statement:

  1. Create a PreparedStatement: Use the prepareStatement method of the Connection class to instantiate a PreparedStatement. Refer to Connecting with DriverManager or Connecting with DataSource for information related to establishing connections.
  2. Set Parameters: Declare parameters by calling the corresponding setter method of the PreparedStatement. Note: The parameter indices start at 1.
  3. Execute the Statement: Use the generic execute or executeUpdate method of the PreparedStatement.
  4. Retrieve Results: Call the getResultSet method of the Prepared Statement to obtain the query results, which will be returned as a ResultSet.
  5. Iterate Over the Result Set: Use the next method of the ResultSet to iterate through the results. To obtain column information, utilize the ResultSetMetaData class. Instantiate a ResultSetMetaData object by calling the getMetaData method of the ResultSet.

SELECT

Use the Statement class's generic execute method or the executeQuery method to execute SQL statements that return data.

The results of SQL queries are saved in a ResultSet. You can retrieve the ResultSet after execution to view the retrieved data.

String sql = "SELECT * FROM repository WHERE name = ?";
try {
    PreparedStatement ps = connection.prepareStatement(sql);
    ps.setString(1, "name");
    ps.execute(sql);
    while (ps.getResultSet().next()) {
        for (int i = 1; i <= ps.getResultSet().getMetaData().getColumnCount(); i++) {
            LOGGER.info(ps.getResultSet().getMetaData().getColumnLabel(i) + "=" 
            + ps.getResultSet().getString(i));
        }
    }
} catch (SQLException e) {
    LOGGER.error(e);
}

INSERT

Use either the generic execute method or the executeUpdate method of the Statement class to execute an INSERT operation.

The results of SQL queries are saved in a ResultSet. Users can retrieve the ResultSet after execution to view the ID of inserted data, exceptions raised during execution, and the data affected by the insertion.

String sql = "INSERT INTO repository (input-name, input-owner) VALUES (?, ?)";
try {
    PreparedStatement ps = connection.prepareStatement(sql);
    ps.setString(1, "Hello-World");
    ps.setString(2, "octocat");
    ps.executeUpdate();
    LOGGER.info(ps.getResultSet().toString());
} catch (SQLException e) {
    LOGGER.error(e);
}
id,errorcode,errormessage,processdata,haserror
MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY=,null,null,{"var1":{"name":"Hello-World","owner":"octocat"}},false

UPDATE

Use either the generic execute method or the executeUpdate method of the Statement class to execute an UPDATE operation.

The results of SQL queries are saved in a ResultSet. Users can retrieve the ResultSet after execution to view the ID of updated data, exceptions raised during execution, and the data affected by the update.

String sql = "UPDATE repository SET input-name = ? WHERE input-repositoryId = ?";
try {
    PreparedStatement ps = connection.prepareStatement(sql);
    ps.setString(1, "name");
    ps.setString(2, "MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY=");
    ps.executeUpdate();
    LOGGER.info(ps.getResultSet().toString());
} catch (SQLException e) {
    LOGGER.error(e);
}
id,errorcode,errormessage,processdata,haserror
MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY=,null,null,{"var1":{"repositoryId":"MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY=","name":"name"}},false

DELETE

Use either the generic execute method or the executeUpdate method of the Statement class to execute a DELETE operation.

The results of SQL queries are saved in a ResultSet. You can retrieve the ResultSet after execution to view the deleted data's ID, exceptions raised during execution, and details of the affected data.

String sql = "DELETE FROM ref WHERE input-refId = ?";
try {
    PreparedStatement ps = connection.prepareStatement(sql);
    ps.setString(1, "MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY6MzU3MzkzNjE=");
    ps.executeUpdate();
    LOGGER.info(ps.getResultSet().toString());
} catch (SQLException e) {
    LOGGER.error(e);
}
id,errorcode,errormessage,processdata,haserror
MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY6MzU3MzkzNjE=,null,null,{"var1":{"refId":"MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY6MzU3MzkzNjE="}},false

CallMutation

You can use either the generic execute method or the executeQuery method of the Statement class to execute mutations through a "CallMutation" query. CallMutation statements are formatted similarly to Insert statements but require the full mutation name. The field to output can be specified using an OUT parameter located in the columns list prefixed by "OUT". If the mutation has fields to return (see system.functions and system.functions.columns), an OUT parameter is required.

For example, the corresponding CallMutation Statement for INSERT INTO repository (input-name, input-owner) VALUES ('name', 'owner') is CallMutation createRepository (input-name, input-owner, OUT repository-id) VALUES ('name', 'owner').

The results of SQL queries are saved in a ResultSet. You can retrieve the ResultSet after execution to view the mutation data's ID, exceptions raised during execution, and details of the affected data.

String sql = "CallMutation createRepository (input-name, input-owner, OUT repository-id) VALUES (?, ?)";
try {
    Connection connection = buildRestConnectionFromDriverManager();
    PreparedStatement ps = connection.prepareStatement(customSql);
    ps.setString(1, "Hello-World");
    ps.setString(2, "octocat");
    ps.executeUpdate();
    LOGGER.info(ps.getResultSet().toString());
} catch (SQLException e) {
    e.printStackTrace();
}
id,errorcode,errormessage,processdata,haserror
MDEwOlJlcG9zaXRvcnkzNzc2MjYzMzY=,null,null,{"var1":{"name":"Hello-World","owner":"octocat"}},false

Metadata Discovery

This section provides examples on how to retrieve table and column metadata using the getTables and getColumns methods from the DatabaseMetaData interface. These are essential for discovering database structures.

Tables

The getTables method from the DatabaseMetaData interface can be used to retrieve a list of tables.

try {
    Connection connection = buildRestConnectionFromDriverManager();
    ResultSet rs = connection.getMetaData().getTables(null, null, null, null);
    LOGGER.info("\r\n" + rs.toString());
} catch (SQLException e) {
    LOGGER.severe(e.getMessage());
}
TABLE_CAT,TABLE_SCHEM,TABLE_NAME,TABLE_TYPE,REMARKS
null,null,adaptive_auth_event,Table,
null,null,agent_assist_recommendation,Table,
null,null,agent_file,Table,
......

The getTables method returns the following metadata columns:

Column Name Data Type Description
TABLE_CAT String The catalog that contains the table.
TABLE_SCHEM String The schema of the table.
TABLE_NAME String The name of the table name.
TABLE_TYPE String The type of the table (e.g., TABLE or VIEW).
REMARKS String An optional description of the table.

Columns

Use the getColumns method of the DatabaseMetaData interface to retrieve detailed information about the columns in the database. To narrow your search to a specific table, specify the table name as a parameter.

try {
    Connection connection = buildRestConnectionFromDriverManager();
    ResultSet rs = connection.getMetaData().getColumns(null, null, "agent_file", null);
    LOGGER.info(rs.toString());
} catch (SQLException e) {
    e.printStackTrace();
}
TABLE_CAT,TABLE_SCHEM,TABLE_NAME,COLUMN_NAME,DATA_TYPE,TYPE_NAME,COLUMN_SIZE,BUFFER_LENGTH,DECIMAL_DIGITS,NUM_PREC_RADIX,NULLABLE,REMARKS,COLUMN_DEF,SQL_DATA_TYPE,SQL_DATETIME_SUB,CHAR_OCTET_LENGTH,ORDINAL_POSITION,IS_NULLABLE,IS_AUTOINCREMENT,IS_GENERATEDCOLUMN,DTS_TYPE
null,null,agent_file,sys_updated_on,91,java.util.Date,40,null,0,0,null,null,null,91,null,null,null,null,null,null,DT_DBDATE
null,null,agent_file,start_date,91,java.util.Date,40,null,0,0,null,null,null,91,null,null,null,null,null,null,DT_DBDATE
null,null,agent_file,sys_updated_by,12,java.lang.String,40,null,0,0,null,null,null,12,null,null,null,null,null,null,DT_WSTR

The getColumns method returns the following columns:

Column Name Data Type Description
TABLE_CAT String The database name.
TABLE_SCHEM String The table schema.
TABLE_NAME String The table name.
COLUMN_NAME String The column name.
DATA_TYPE Integer The data type represented by a constant value from java.sql.Types.
TYPE_NAME String The data type name used by the driver.
COLUMN_SIZE Integer The length in characters of the column or the numeric precision.
BUFFER_LENGTH Integer The buffer length.
DECIMAL_DIGITS Integer The column scale or number of digits to the right of the decimal point.
NUM_PREC_RADIX Integer The radix, or base.
NULLABLE Integer Whether the column can contain null as defined by the following JDBC DatabaseMetaData constants: columnNoNulls (0) or columnNullable (1).
REMARKS String The comment or note associated with the object.
COLUMN_DEF String The default value for the column.
SQL_DATA_TYPE Integer Reserved by the specification.
SQL_DATETIME_SUB Integer Reserved by the specification.
CHAR_OCTET_LENGTH Integer The maximum length of binary and character-based columns.
ORDINAL_POSITION Integer The position of the column in the table, starting at 1.
IS_NULLABLE String Whether a null value is allowed: YES or NO.
IS_AUTOINCREMENT String Whether the column value is assigned by GitHub in fixed increments.
IS_GENERATEDCOLUMN String Whether the column is generated: YES or NO.
DTS_TYPE String Object DTS attribute type.

Primary Keys

The getPrimaryKeys method in the DatabaseMetaData interface is used to retrieve metadata about primary keys for a given table in GitHub.

try {
    Connection connection = buildRestConnectionFromDriverManager();
    ResultSet resultSet = connection.getMetaData().getPrimaryKeys(null, null, "agent_file");
    LOGGER.info("\r\n" + resultSet.toString());
    Assertions.assertNotNull(resultSet);
} catch (SQLException e) {
    LOGGER.severe(e.getMessage());
}
TABLE_NAME,PRIMARY_COLUMN_NAME
agent_file,sys_id

The getPrimaryKeys method returns the following columns:

Column Name Data Type Description
TABLE_NAME String The name of the table that contains the primary key.
PRIMARY_COLUMN_NAME String The name of the column that serves as the primary key for the table.

Connection Settings

Connection Setting Type Default Value Description
AccessToken String "" The AccessToken is used to authenticate access to GitHub.
ApiKey String "" The ApiKey is the unique identifier used for authenticating API requests to access GitHub resources.
ApiThrottleRate Integer 10 The maximum number of API requests a client can make to the server within a specific time period, defined in the ThrottleRateUnit setting.
AppId String "" The AppId is the numeric value assigned to your GitHub App when it is created. It uniquely identifies the GitHub App and is used to associate the authentication token with the correct GitHub App.
AuthenticationMode String "OAuth" AuthenticationMode specifies the method used to authenticate when connecting to GitHub GraphQL API.
CacheExpirationTime Integer 30 Defines the expiration time for cache. A value of 0 disables caching.
ConnectionTimeout Integer 30 ConnectionTimeout is the maximum amount of time the program will wait to set up a connection to the GitHub API.
GraphQlMaxQueryDepth Integer 2 GraphQlMaxQueryDepth refers to the maximum depth allowed for a GraphQL query to avoid performance issues. It has a maximum valid value of 8 and will be used when a higher depth is used.
IgnoreCertificateErrors Boolean false Specifies whether to verify the certificate when connecting to GitHub. If certificate verification is not required, you can set this value to 'true'.
IgnoreError Boolean false Determines if the program continues executing SQL statements after encountering an error.
LogFileSize String "10485760" A string specifying the maximum size in bytes for a log file.
LogLevel String "INFO" The logging level for the JDBC driver.
LogPath String "./jdbcLogs" The directory where log files are stored.
OemKey String "" The OEM License key.
Password String "" The password used to authenticate the user.
PathToPrivateKeyFile String "" The path to the Private Key file.
PathToTokenFile String "" The path to the token file.
ProxyMode String NoProxy This setting configures the proxy. Allowed values are "NoProxy", "AutoDetect" and "Manual".
ProxyPassword String "" The password to be used to authenticate to the proxy.
ProxyServer String "" The host of the proxy server.
ProxyServerPort Integer 0 The port of the proxy server.
ProxyUsername String "" The username to be used to authenticate to the proxy.
ReadBatchSize Integer 1000 ReadBatchSize is used to set how many records can be read from GitHub in a single call.
ResultPath String "" The path where the execution result files are saved.
RetryOnIntermittentErrors Boolean true The RetryOnIntermittentErrors parameter indicates whether to retry the connection when it might occasionally fail due to temporary issues.
SaveResult Boolean false The SaveResult parameter indicates whether to save the execution results to a file.
ServiceTimeout Integer 120 The ServiceTimeout is the timeout to receive the full response from GitHub API.
ServiceName String "" The ServiceName refers to the name of the service API selected by the user.
ThrottleRateUnit String "PerSecond" The unit of time for limiting API requests to avoid being throttled. Valid values include, "PerSecond", "PerMinute" and "PerHour".
TokenPassword String "" The password used to read the token file.
TotalThreads Integer 0 The number of threads for executing operations in parallel. A value of 0 will disable multi threading.
UserName String "" The user account used to connect to the server
UserEmail String "" The email specifies the user account used for OAuth JWT connection to GitHub.
WriteBatchSize Integer 200 WriteBatchSize is used to set how many records can be written to GitHub in a single call.