# 20. Tracing python-oracledb

## 20.1. Application Tracing

There are multiple approaches for application tracing and monitoring:

- End-to-end database tracing attributes such as `Connection.action` and `Connection.module` are supported in the python-oracledb Thin and Thick modes. Using these attributes is recommended since they aid application monitoring and troubleshooting.

- You can subclass python-oracledb classes and implement your own driver API call tracing and logging. Also, the standard Python tracing capabilities can be used.

- The Java Debug Wire Protocol (JDWP) for debugging PL/SQL can be used. See Debugging PL/SQL with the Java Debug Wire Protocol.

- Python-oracledb in Thick mode can dump a trace of SQL statements executed. See Low Level SQL Tracing.

### 20.1.1. Oracle Database End-to-End Tracing

Oracle Database end-to-end application tracing simplifies diagnosing application code flow and performance problems in multi-tier or multi-user environments.

The connection attributes, `client_identifier`, `clientinfo`, `dbop`, `module` and `action`, set the metadata for end-to-end tracing. You can query data dictionary and dynamic performance views to monitor applications, or you can use tracing utilities.

After attributes are set, the values are sent to the database when the next round-trip to the database occurs, for example when the next SQL statement is executed.

The attribute values will remain set in connections released back to a connection pool. When the application re-acquires a connection from the pool, it should initialize the values to a desired state before using that connection.

The example below shows setting the action, module, and client identifier attributes on a connection object, and then querying a view to see the recorded values. The example both sets and queries the values, but typically monitoring is done externally to the application.

    # Set the tracing metadata
    connection.client_identifier = "pythonuser"
    connection.action = "Query Session tracing parameters"
    connection.module = "End-to-end Demo"

    for row in cursor.execute("""
            SELECT username, client_identifier, module, action
            FROM V$SESSION
            WHERE SID = SYS_CONTEXT('USERENV', 'SID')"""):
        print(row)

The output will be like:

    ('SYSTEM', 'pythonuser', 'End-to-end Demo', 'Query Session tracing parameters')

The values can also be manually set as shown by calling DBMS_APPLICATION_INFO procedures or DBMS_SESSION.SET_IDENTIFIER. These incur round-trips to the database; however, reducing scalability.

    BEGIN
        DBMS_SESSION.SET_IDENTIFIER('pythonuser');
        DBMS_APPLICATION_INFO.set_module('End-to-End Demo');
        DBMS_APPLICATION_INFO.set_action(action_name => 'Query Session tracing parameters');
    END;

The value of `Connection.dbop` will be shown in the `DBOP_NAME` column of the `V$SQL_MONITOR` table:

    connection.dbop = "my op"

    for row in cursor.execute("""
            SELECT dbop_name
            FROM v$sql_monitor
            WHERE SID = SYS_CONTEXT('USERENV', 'SID')"""):
        print(row)

### 20.1.2. Subclassing Connections

Subclassing enables applications to add “hooks” for connection and statement execution. This can be used to alter or log connection and execution parameters, and to extend python-oracledb functionality.

The example below demonstrates subclassing a connection to log SQL execution to a file. This example also shows how connection credentials can be embedded in the custom subclass, so application code does not need to supply them.

    class Connection(oracledb.Connection):
        log_file_name = "log.txt"

        def __init__(self):
            connect_string = "hr/hr_password@dbhost.example.com/orclpdb"
            self._log("Connect to the database")
            return super(Connection, self).__init__(connect_string)

        def _log(self, message):
            with open(self.log_file_name, "a") as f:
                print(message, file=f)

        def execute(self, sql, parameters):
            self._log(sql)
            cursor = self.cursor()
            try:
                return cursor.execute(sql, parameters)
            except oracledb.Error as e:
                error_obj, = e.args
                self._log(error_obj.message)
                raise

    connection = Connection()
    connection.execute("""
            select department_name
            from departments
            where department_id = :id""", dict(id=270))

The messages logged in `log.txt` are:

    Connect to the database

                select department_name
                from departments
                where department_id = :id

If an error occurs, perhaps due to a missing table, the log file would contain instead:

    Connect to the database

                select department_name
                from departments
                where department_id = :id
    ORA-00942: table or view does not exist

In production applications, be careful not to log sensitive information.

See Subclassing.py for an example.

### 20.1.3. Debugging PL/SQL with the Java Debug Wire Protocol

The Java Debug Wire Protocol (JDWP) for debugging PL/SQL can be used with python-oracledb.

Python-oracledb applications that call PL/SQL can step through that PL/SQL code using JDWP in a debugger. This allows Python and PL/SQL code to be debugged in the same debugger environment. You can enable PL/SQL debugging in the python-oracledb modes as follows:

- If you are using python-oracledb Thick mode, set the `ORA_DEBUG_JDWP` environment variable to host=hostname;port=portnum indicating where the PL/SQL debugger is running. Then run the application.

- In the python-oracledb Thin mode, you can additionally set the connection parameter `debug_jdwp` during connection. This variable defaults to the value of the `ORA_DEBUG_JDWP` environment variable.

See DBMS_DEBUG_JDWP and Debugging PL/SQL from ASP.NET and Visual Studio.

### 20.1.4. Low Level SQL Tracing

The Thick mode of python-oracledb is implemented using the ODPI-C wrapper on top of the Oracle Client libraries. The ODPI-C tracing capability can be used to log executed python-oracledb statements to the standard error stream. Before executing Python, set the environment variable `DPI_DEBUG_LEVEL` to 16.

At a Windows command prompt, this could be done with:

    set DPI_DEBUG_LEVEL=16

On Linux, you might use:

    export DPI_DEBUG_LEVEL=16

After setting the variable, run the Python Script, for example on Linux:

    python end-to-endtracing.py 2> log.txt

For an application that does a single query, the log file might contain a tracing line consisting of the prefix ‘ODPI’, a thread identifier, a timestamp, and the SQL statement executed:

    ODPI [26188] 2019-03-26 09:09:03.909: ODPI-C 3.1.1
    ODPI [26188] 2019-03-26 09:09:03.909: debugging messages initialized at level 16
    ODPI [26188] 2019-03-26 09:09:09.917: SQL SELECT * FROM jobss
    Traceback (most recent call last):
    File "end-to-endtracing.py", line 14, in <module>
      cursor.execute("select * from jobss")
    oracledb.DatabaseError: ORA-00942: table or view does not exist

See ODPI-C Debugging for documentation on `DPI_DEBUG_LEVEL`.

## 20.2. Finding the Python-oracledb Mode

The boolean attributes `Connection.thin` and `ConnectionPool.thin` can be used to show the current mode of a python-oracledb connection or pool, respectively. The python-oracledb version can be shown with `oracledb.__version__`.

The information can also be seen in the Oracle Database data dictionary table `V$SESSION_CONNECT_INFO`:

    with connection.cursor() as cursor:
        sql = """SELECT UNIQUE CLIENT_DRIVER
                 FROM V$SESSION_CONNECT_INFO
                 WHERE SID = SYS_CONTEXT('USERENV', 'SID')"""
        for r, in cursor.execute(sql):
            print(r)

In the python-oracledb Thin mode, the output will be:

    python-oracledb thn : 1.0.0

In the python-oracledb Thick mode, the output will be:

    python-oracledb thk : 1.0.0

The `CLIENT_DRIVER` values is configurable in the python-oracledb Thick mode with a call like `init_oracle_client(driver_name='myapp : 2.0.0')`. See Other python-oracledb Thick Mode Initialization.

## 20.3. Database Views

This section shows some sample column values for database views. Other views also contain useful information, such as the DRCP views discussed in Monitoring DRCP.

### 20.3.1. `V$SESSION_CONNECT_INFO`

The following table lists sample values for some V$SESSION_CONNECT_INFO columns:

Table 20.1 Sample V$SESSION_CONNECT_INFO column values
Column | Thick value | Thin value
--- | --- | ---
CLIENT_OCI_LIBRARY | The Oracle Client or Instant Client type, such as “Full Instant Client” | “Unknown”
CLIENT_VERSION | The Oracle Client library version number | “1.0.0.0.0” (the python-oracledb version number with an extra .0.0)
CLIENT_DRIVER | “python-oracledb thk : 1.0.0” | “python-oracledb thn : 1.0.0”

### 20.3.2. `V$SESSION`

The following table list sample values for columns with differences in V$SESSION.

Table 20.2 Sample V$SESSION column values
Column | Thick value | Thin value
--- | --- | ---
TERMINAL | similar to ttys001 | the string “unknown”
PROGRAM | similar to python@myuser-mac2 (TNS V1-V3) | the contents of Python’s `sys.executable`, such as /Users/myuser/.pyenv/versions/3.9.6/bin/python
MODULE | similar to python@myuser-mac2 (TNS V1-V3) | the contents of Python’s `sys.executable`, such as /Users/myuser/.pyenv/versions/3.9.6/bin/python

The `MODULE` column value can be set as shown in Oracle Database End-to-End Tracing.

## 20.4. Low Level Python-oracledb Driver Tracing

Low level tracing is mostly useful to maintainers of python-oracledb.

- For the python-oracledb Thin mode, packets can be traced by setting the environment variable:

      PYO_DEBUG_PACKETS=1

  Output goes to stdout. The logging is similar to an Oracle Net trace of level 16.

- The python-oracledb Thick mode can be traced using:

  - dpi_debug_level as documented in ODPI-C Debugging.

  - Oracle Call Interface (OCI) tracing as directed by Oracle Support.

  - Oracle Net services tracing as documented in Oracle Net Services Tracing Parameters