GitHub - peregrine-io/IfxPy: Informix native Python driver for scalable enterprise and IoT solutions.

IfxPy

Informix native Python driver is a high performing data access interface suitable for highly scalable enterprise and IoT solutions to works with Informix database. The Advanced native extension module is the heart piece of driver which is completely written in C language for better efficiency and performance. The Python Database API Specification v2.0 API has been created on top of this native layer with Python code by focusing on application API level compatibility.

The driver has support for both Python 2.7 and Python 3x. It has been certified across all major development platforms such as ARM64 running Raspbian OS, Linux, and Windows; and no surprise, it works well on the Raspberry Pi3.

The development activities of the driver are powered by passion, dedication and independent thinking. You may send pull request, together we grow as an open community; relevant discussion and queries are answered by community through stackoverflow. http://stackoverflow.com/questions/tagged/informix

Installing the driver

pip install ifxpy
or  # if Python 3.x then
pip3 install ifxpy

Informix Python driver version 3.0.5 onward, you no more require prior installation of Informix CSDK(Client Software Development Kit) on Windows 64-bit and Linux 64-bit platforms. The install script will take care of installing/downloading the required depenedencies for CSDK/ODBC on 64-bit platforms. There will be "onedb-odbc-driver" folder created in your "site-packages" folder of your respective platforms when you install the Python driver. This folder "onedb-odbc-driver" could be used to set the value of INFORMIXDIR (see Runtime Environment section below for more information). You don't need to download CSDK for your Python applications requirement. Hence downloading and installing CSDK is optional from Python driver version 3.0.5 onward.

The pip install support is available for Windows 64, Linux x86_64, Arm7 for both Python 2.7 and Python 3.4 and up. For all other platform you may perform a local build. The driver source code is platform neutral and it is expected to build on any platform.

Runtime Environment

FYI: Informix Client SDK 4.10 xC2 or above is needed for the driver to make connection to the database. Make sure Informix Client SDK is installed and its environments are set prior to running application.

Download Informix Client SDK

Say INFORMIXDIR is the location where you have installed Informix Client SDK.

Linux

export LD_LIBRARY_PATH=${INFORMIXDIR}/lib:${INFORMIXDIR}/lib/esql:${INFORMIXDIR}/lib/cli

Windows

SET PATH=%INFORMIXDIR%\bin;%PATH%

IfxPy: (Advanced Native Extension Module)

The Advanced Native Extension Module is the heart of the driver which is completely written in C language for better efficiency and performance while maintaining cross platform support.
Please see the IfxPy Wiki (work in progress) for the documentation

IfxPyDbi: Python Database API Specification v2.0 support

Support for the Python DB API have been created on top of the native layer by focusing on application layer compatibility; then the application source code is generally more portable across databases.

Known Limitation

Large Object Support

Future Roadmap

Django
SQLAlchemy

Build the driver from its source code

The driver source code is platform neutral; you may build the driver on any platforms. If you face any difficulty feel free to reach out to us, we are happy to help you. The following URL has instruction to build it on Windows and Linux.

Examples

Make sure to set Informix CSDK runtime environment before running the examples.

Connection to the database

The basic connectivity to Informix database.

import IfxPy

ConStr = "SERVER=ids0;DATABASE=db1;HOST=127.0.0.1;SERVICE=9088;UID=informix;PWD=xxxx;"

# netstat -a | findstr  9088
conn = IfxPy.connect( ConStr, "", "")

# Do some work
# -- -- -- -- --
# -- -- -- -- --
IfxPy.close(conn)

Simple Query

The driver APIs used in this example are from the set of Advanced native extension module APIs

FYI: IfxPy fetch functions

IfxPy.fetch_tuple()
Returns a tuple, indexed by column position, representing a row in a result set. The columns are 0-indexed.
IfxPy.fetch_assoc()
Returns a dictionary, indexed by column name, representing a row in a result set.
IfxPy.fetch_both()
Returns a dictionary, indexed by both column name and position, representing a row in a result set.
IfxPy.fetch_row()
Sets the result set pointer to the next row or requested row. Use this function to iterate through a result set.
free_result()
Frees resources associated with a result set
free_stmt()
Frees resources associated with the indicated statement resource

# Sample1.py
import IfxPy

def my_Sample():
    ConStr = "SERVER=ids0;DATABASE=db1;HOST=127.0.0.1;SERVICE=9088;UID=informix;PWD=xxxxx;"

    try:
        # netstat -a | findstr  9088
        conn = IfxPy.connect( ConStr, "", "")
    except Exception as e:
        print ('ERROR: Connect failed')
        print ( e )
        quit()

    SetupSqlSet = [
        "create table t1 ( c1 int, c2 char(20), c3 int, c4 int ) ;",
        "insert into t1 values( 1, 'Sunday', 101, 201 );",
        "insert into t1 values( 2, 'Monday', 102, 202 );",
        "insert into t1 values( 3, 'Tuesday', 103, 203 );",
        "insert into t1 values( 4, 'Wednesday', 104, 204 );",
        "insert into t1 values( 5, 'Thursday', 105, 2005 );",
        "insert into t1 values( 6, 'Friday', 106, 206 );",
        "insert into t1 values( 7, 'Saturday', 107, 207 );"
    ]

    try:
        sql = "drop table t1;"
        print ( sql )
        stmt = IfxPy.exec_immediate(conn, sql)
    except:
        print ('FYI: drop table failed')

    i = 0
    for sql in SetupSqlSet:
        i += 1
        print (sql)
        stmt = IfxPy.exec_immediate(conn, sql)

    # The first record executed is for create table
    i -= 1

    # Select records
    sql = "SELECT * FROM t1"
    stmt = IfxPy.exec_immediate(conn, sql)
    dictionary = IfxPy.fetch_both(stmt)

    rc = 0
    while dictionary != False:
        rc += 1
        print ("--  Record {0} --".format(rc))
        print ("c1 is : ",  dictionary[0])
        print ("c2 is : ", dictionary[1])
        print ("c3 is : ", dictionary["c3"])
        print ("c4 is : ", dictionary[3])
        print (" ")
        dictionary = IfxPy.fetch_both(stmt)

    print()
    print( "Total Record Inserted {}".format(i) )
    print( "Total Record Selected {}".format(rc) )

    # Free up memory used by result and then stmt too
    IfxPy.free_result(stmt)
    IfxPy.free_stmt (stmt)

    IfxPy.close(conn)

    print ("Done")

####### Run the sample function ######
my_Sample()

Param Binding of Basic Data Types

# Sample2.py
import IfxPy


def my_Sample():
    ConStr = "SERVER=ids0;DATABASE=db1;HOST=127.0.0.1;SERVICE=9088;UID=informix;PWD=xxxxx;"

    try:
        # netstat -a | findstr  9088
        conn = IfxPy.connect( ConStr, "", "")
    except Exception as e:
        print ('ERROR: Connect failed')
        print ( e )
        quit()


    try:
        sql = "drop table t1;"
        print ( sql )
        stmt = IfxPy.exec_immediate(conn, sql)
    except:
        print ('FYI: drop table failed')

    sql = "create table t1 ( c1 int, c2 char(20), c3 int, c4 int ) ;"
    stmt = IfxPy.exec_immediate(conn, sql)


    sql = "INSERT INTO t1 (c1, c2, c3, c4) VALUES ( ?, ?, ?, ? )"
    stmt = IfxPy.prepare(conn, sql)

    c1 = None
    c2 = None
    c3 = None
    c4 = None
    # Create bindings for the parameter
    IfxPy.bind_param(stmt, 1, c1, IfxPy.SQL_PARAM_INPUT, IfxPy.SQL_INTEGER)
    IfxPy.bind_param(stmt, 2, c2, IfxPy.SQL_PARAM_INPUT, IfxPy.SQL_CHAR)
    IfxPy.bind_param(stmt, 3, c1, IfxPy.SQL_PARAM_INPUT, IfxPy.SQL_INTEGER)
    IfxPy.bind_param(stmt, 4, c1, IfxPy.SQL_PARAM_INPUT, IfxPy.SQL_INTEGER)

    print("Inserting Recors ......")
    i = 0
    while i < 10:
        i += 1
        c1 = 100 + i
        c2 = "Testing {0}".format(i)
        c3 = 20000 + i
        c4 = 50000 + i
        # supply new values as a tuple
        IfxPy.execute(stmt, (c1, c2, c3, c4) )


    # Try select those rows we have just inserted
    print("Selecting Recors ......")
    sql = "SELECT * FROM t1"
    stmt = IfxPy.exec_immediate(conn, sql)
    tu = IfxPy.fetch_tuple(stmt)
    rc = 0
    while tu != False:
        rc += 1
        print( tu )
        tu = IfxPy.fetch_tuple(stmt)

    print()
    print( "Total Record Inserted {}".format(i) )
    print( "Total Record Selected {}".format(rc) )

    # Free up memory used by result and then stmt too
    IfxPy.free_result(stmt)
    IfxPy.free_stmt (stmt)

    # close the connection
    IfxPy.close(conn)

    print ("Done")

####### Run the sample function ######
my_Sample()

Param Binding of Collection and User Defined Data Types

# Sample3.py
import IfxPy


def my_Sample():
    ConStr = "SERVER=ids0;DATABASE=db1;HOST=127.0.0.1;SERVICE=9088;UID=informix;PWD=xxxxx;"

    try:
        # netstat -a | findstr  9088
        conn = IfxPy.connect( ConStr, "", "")
    except Exception as e:
        print ('ERROR: Connect failed')
        print ( e )
        quit()
    
    try:
        sql = "drop table rc_create;"
        print ( sql )
        stmt = IfxPy.exec_immediate(conn, sql)
    except:
        print ('FYI: drop table failed')

    sql = "DROP ROW TYPE if exists details RESTRICT;"
    IfxPy.exec_immediate(conn, sql)

    sql = "DROP ROW TYPE if exists udt_t1 RESTRICT;"
    IfxPy.exec_immediate(conn, sql)

    sql = "CREATE ROW TYPE details(name varchar(15), addr varchar(15), zip varchar(15) );"
    stmt = IfxPy.exec_immediate(conn, sql)

    sql = "CREATE ROW TYPE udt_t1(name varchar(20), zip int);"
    stmt = IfxPy.exec_immediate(conn, sql)

    sql = "CREATE TABLE udt_tab1 (c1 int, c2 SET(CHAR(10)NOT NULL), c3 MULTISET(int not null), c4 LIST(int not null), c5 details, c6 udt_t1 );"
    stmt = IfxPy.exec_immediate(conn, sql)

    sql = "INSERT INTO udt_tab1 VALUES (?, ?, ?, ?, ?, ?);"
    stmt = IfxPy.prepare(conn, sql)

    c1 = None
    c2 = None
    c3 = None
    c4 = None
    c5 = None
    c6 = None

    print("Bind the params");
    IfxPy.bind_param(stmt, 1, c1, IfxPy.SQL_PARAM_INPUT, IfxPy.SQL_INTEGER)
    IfxPy.bind_param(stmt, 2, c2, IfxPy.SQL_PARAM_INPUT, IfxPy.SQL_CHAR,  IfxPy.SQL_INFX_RC_COLLECTION)
    IfxPy.bind_param(stmt, 3, c3, IfxPy.SQL_PARAM_INPUT, IfxPy.SQL_CHAR, IfxPy.SQL_INFX_RC_COLLECTION)
    IfxPy.bind_param(stmt, 4, c4, IfxPy.SQL_PARAM_INPUT, IfxPy.SQL_CHAR, IfxPy.SQL_INFX_RC_COLLECTION)
    IfxPy.bind_param(stmt, 5, c5, IfxPy.SQL_PARAM_INPUT, IfxPy.SQL_CHAR, IfxPy.SQL_INFX_UDT_FIXED)
    IfxPy.bind_param(stmt, 6, c6, IfxPy.SQL_PARAM_INPUT, IfxPy.SQL_CHAR, IfxPy.SQL_INFX_UDT_VARYING)
    i = 0
    while i < 3:
        i += 1
        c1 = 100+i
        c2 = "SET{'test', 'test1'}"
        c3 = "MULTISET{1,2,3}"
        c4 = "LIST{10, 20}"
        c5 = "ROW('Pune', 'City', '411061')"
        c6 = "ROW('Mumbai', 11111)"
        IfxPy.execute(stmt, (c1, c2, c3, c4, c5, c6));


    print("Selecting Records ......")
    sql = "SELECT * FROM udt_tab1"
    stmt = IfxPy.exec_immediate(conn, sql)
    tu = IfxPy.fetch_tuple(stmt)
    rc = 0
    while tu != False:
        rc += 1
        print( tu)
        tu = IfxPy.fetch_tuple(stmt)

    print()
    print( "Total Record Inserted {}".format(i) )
    print( "Total Record Selected {}".format(rc) )

    # Free up memory used by result and then stmt too
    IfxPy.free_result(stmt)
    IfxPy.free_stmt (stmt)

    # close the connection
    IfxPy.close(conn)

    print ("Done")

####### Run the sample function ######
my_Sample()

Sample program for Smart Trigger support in Informix Python Driver

# test_SmartTrigger.py
import IfxPy
from ctypes import *
import threading
import os

def printme1(outValue1):
   "This prints a passed string into this function1"
   print ("\nTest for callback function, value = ", outValue1)
   return

def printme2(outValue2):
   "This prints a passed string into this function2"
   print ("\nTest for callback function, value = ", outValue2)
   return
 
def task1():
    print("Task 1 assigned to thread: {}".format(threading.current_thread().name))
    print("ID of process running task 1: {}".format(os.getpid()))
    temp4 = IfxPy.register_smart_trigger_loop(conn, printme1, temp, "t1", "informix", "sheshdb", "select * from t1;", "label1", False, False)
    #temp4 = IfxPy.register_smart_trigger_loop(conn, printme1, temp, "बस", "informix", "sheshdb_utf8", "select * from बस;", "label1", False, False)
 
def task2():
    print("Task 2 assigned to thread: {}".format(threading.current_thread().name))
    print("ID of process running task 2: {}".format(os.getpid()))
    #temp5 = IfxPy.register_smart_trigger_loop(conn, printme2, temp, "t2", "informix", "sheshdb", "select * from t2;", "label2", False, False)
    temp5 = IfxPy.register_smart_trigger_loop(conn, printme2, temp, "t2", "informix", "sheshdb_utf8", "select * from t2;", "label2", False, False)
 
# if __name__ == "__main__":
             
# ConStr = "SERVER=ol_informix1410;DATABASE=sheshdb_utf8;HOST=127.0.0.1;SERVICE=1067;UID=informix;PWD=xxxx;DB_LOCALE=en_us.utf8;CLIENT_LOCALE=en_us.UTF8;"
ConStr = "SERVER=ol_informix1410;DATABASE=sheshdb;HOST=127.0.0.1;SERVICE=1067;UID=informix;PWD=xxx;"

conn = IfxPy.connect( ConStr, "", "")

temp = IfxPy.open_smart_trigger(conn, "Unique1", False, 5, 1, 0)
print ("\nFile descriptor = ", temp)
 
# creating threads
t1 = threading.Thread(target=task1, name='t1')
t2 = threading.Thread(target=task2, name='t2')  
 
# starting threads
t1.start()
t2.start()
 
# wait until all threads finish
t1.join()
t2.join()

IfxPy.close(conn)
print ("Done")

Python Database API Specification v2.0

The Advanced Native Extension Module is the heart of the driver which is completely written in C language for better efficiency and performance. The Python Database API Specification v2.0 APIs have been created on top of this native layer by focusing on application layer compatibility. Then the application source code is generally more portable across databases.

Example by using Python DB API

The driver APIs used in this example are from the set of Python Database API Specification v2.0 APIs

import IfxPyDbi as dbapi2

ConStr = "SERVER=ids0;DATABASE=db1;HOST=127.0.0.1;SERVICE=9088;UID=informix;PWD=xxxx;"

conn = dbapi2.connect( ConStr, "", "")
cur = conn.cursor()

try:
    stmt = cur.execute('drop table t1;')
except:
    print ('FYI: drop table failed')

cur.execute('create table t1 ( c1 int, c2 char(20), c3 int, c4 int ) ')

cur.execute("insert into t1 values( 1, 'Sunday', 101, 201 )")
cur.execute("insert into t1 values( 2, 'Monday', 102, 202 )")
cur.execute("insert into t1 values( 3, 'Tuesday', 103, 203 )")
cur.execute("insert into t1 values( 4, 'Wednesday', 104, 204 )")
cur.execute("insert into t1 values( 5, 'Thursday', 105, 2005 )")
cur.execute("insert into t1 values( 6, 'Friday', 106, 206 )")
cur.execute("insert into t1 values( 7, 'Saturday', 107, 207 )")

conn.commit ()

cur.execute ("SELECT * FROM t1")
rows = cur.fetchall()
for i, row in enumerate(rows):
    print ("Row", i, "value = ", row)

cur.close()

conn.close()
print ("Done")

DB API Example: inserts many records at a time

See the working sample of this module DbAPI_Sample_executemany.py in the Examples folder.

#-- -- -- -- --
#-- -- -- -- --
cur.execute('create table t1 ( c1 int, c2 char(20), c3 int, c4 int ) ')
days = [ (1, 'Sunday',  101, 201),
         (2, 'Monday',  102, 202),
         (3, 'Tuesday', 103, 203),
         (4, 'Wednesday', 104, 204),
         (5, 'Thursday', 105, 205),
         (6, 'Friday', 106, 206),
         (7, 'Saturday', 1027, 207),
       ]
cur.executemany('INSERT INTO t1 VALUES (?,?,?,?)', days)
conn.commit ()
#-- -- -- -- --
#-- -- -- -- --

DB API Example: params

See the working sample of this module DbAPI_Sample_Params.py in the Examples folder.

#-- -- -- -- --
#-- -- -- -- --
c1_val = 4
cur.execute("UPDATE t1 SET c2 = 'Wednesday!' WHERE c1 = (?)", (c1_val,))
conn.commit()

c3_val = 1004
cur.execute("UPDATE t1 SET c3 = (?) WHERE c1 = 4", (c3_val,))
conn.commit()

cur.execute("select * FROM t1 WHERE c1 = ?", (c1_val,))
row = cur.fetchone()
print ( "value = ", row)
#-- -- -- -- --
#-- -- -- -- --

Advanced native extension module APIs

IfxPy.connect:
Connect to the database.
IfxPy.exec_immediate:
Prepares and executes an SQL statement.
IfxPy.prepare:
Prepares an SQL statement.
IfxPy.bind_param:
Binds a Python variable to an SQL statement parameter.
IfxPy.execute:
Executes an SQL statement that was prepared by * IfxPy.prepare().
IfxPy.fetch_tuple:
Returns an tuple
IfxPy.fetch_assoc:
Returns a dictionary
IfxPy.fetch_both:
Returns a dictionary
IfxPy.fetch_row:
Sets the result set pointer to the next row or requested row.
IfxPy.result:
Returns a single column from a row in the result set.
IfxPy.active:
Checks if the specified connection resource is active.
IfxPy.autocommit:
Returns or sets the AUTOCOMMIT state for a database connection.
IfxPy.callproc:
Returns a tuple containing OUT/INOUT variable value.
IfxPy.check_function_support:
return true if fuction is supported otherwise return false.
IfxPy.close:
Close a database connection.
IfxPy.conn_error:
Returns a string containing the SQLSTATE returned by the last connection attempt.
IfxPy.conn_errormsg:
Returns an error message and SQLCODE value representing the reason the last database connection attempt failed.
IfxPy.conn_warn:
Returns a warning string containing the SQLSTATE returned by the last connection attempt.
IfxPy.client_info:
Returns a read-only object with information about the IDS database client.
IfxPy.column_privileges:
Returns a result set listing the columns and associated privileges for a table.
IfxPy.columns:
Returns a result set listing the columns and associated metadata for a table.
IfxPy.commit:
Commits a transaction.
IfxPy.cursor_type:
Returns the cursor type used by a statement resource.
IfxPy.execute_many:
Execute SQL with multiple rows.
IfxPy.field_display_size:
Returns the maximum number of bytes required to display a column.
IfxPy.field_name:
Returns the name of the column in the result set.
IfxPy.field_nullable:
Returns indicated column can contain nulls or not.
IfxPy.field_num:
Returns the position of the named column in a result set.
IfxPy.field_precision:
Returns the precision of the indicated column in a result set.
IfxPy.field_scale:
Returns the scale of the indicated column in a result set.
IfxPy.field_type:
Returns the data type of the indicated column in a result set.
IfxPy.field_width:
Returns the width of the indicated column in a result set.
IfxPy.foreign_keys:
Returns a result set listing the foreign keys for a table.
IfxPy.free_result:
Frees resources associated with a result set.
IfxPy.free_stmt:
Frees resources associated with the indicated statement resource.
IfxPy.get_option:
Gets the specified option in the resource.
IfxPy.num_fields:
Returns the number of fields contained in a result set.
IfxPy.num_rows:
Returns the number of rows affected by an SQL statement.
IfxPy.get_num_result:
Returns the number of rows in a current open non-dynamic scrollable cursor.
IfxPy.primary_keys:
Returns a result set listing primary keys for a table.
IfxPy.procedure_columns:
Returns a result set listing the parameters for one or more stored procedures.
IfxPy.procedures:
Returns a result set listing the stored procedures registered in a database.
IfxPy.rollback: Rolls back a transaction.
IfxPy.server_info:
Returns an object with properties that describe the IDS database server.
IfxPy.get_db_info:
Returns an object with properties that describe the IDS database server according to the option passed.
IfxPy.set_option:
Sets the specified option in the resource.
IfxPy.special_columns:
Returns a result set listing the unique row identifier columns for a table.
IfxPy.statistics:
Returns a result set listing the index and statistics for a table.
IfxPy.stmt_error:
Returns a string containing the SQLSTATE returned by an SQL statement.
IfxPy.stmt_warn:
Returns a warning string containing the SQLSTATE returned by last SQL statement.
IfxPy.stmt_errormsg:
Returns a string containing the last SQL statement error message.
IfxPy.table_privileges:
Returns a result set listing the tables and associated privileges in a database.
IfxPy.tables:
Returns a result set listing the tables and associated metadata in a database.
IfxPy.get_last_serial_value:
Returns last serial value inserted for identity column.
IfxPy.open_smart_trigger:
Open Smart Trigger session
IfxPy.get_smart_trigger_session_id:
Get already opened Smart Trigger session ID
IfxPy.join_smart_trigger_session:
Join already opened Smart Trigger session ID
IfxPy.register_smart_trigger_loop:
Open Smart Trigger session with loop handled by Informix Python driver
IfxPy.register_smart_trigger_no_loop:
Open Smart Trigger session with loop handled by Informix Python application
IfxPy.delete_smart_trigger_session:
Delete opened Smart Trigger session

Name		Name	Last commit message	Last commit date
Latest commit History 254 Commits
Examples		Examples
IfxPy		IfxPy
PyVsProj		PyVsProj
notes		notes
prebuilt		prebuilt
try		try
.gitignore		.gitignore
IfxPy.sln		IfxPy.sln
LICENSE		LICENSE
LocalBuildLinux.md		LocalBuildLinux.md
LocalBuildLinux_v2.md		LocalBuildLinux_v2.md
LocalBuildWindows.md		LocalBuildWindows.md
README.IfxPyAPI.md		README.IfxPyAPI.md
README.md		README.md
RunTests.md		RunTests.md
TmpInstallFromPrebuiltBinary.md		TmpInstallFromPrebuiltBinary.md
_config.yml		_config.yml

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IfxPy

Installing the driver

Runtime Environment

Linux

Windows

IfxPy: (Advanced Native Extension Module)

IfxPyDbi: Python Database API Specification v2.0 support

Known Limitation

Future Roadmap

Build the driver from its source code

Examples

Connection to the database

Simple Query

FYI: IfxPy fetch functions

Param Binding of Basic Data Types

Param Binding of Collection and User Defined Data Types

Sample program for Smart Trigger support in Informix Python Driver

Python Database API Specification v2.0

Example by using Python DB API

DB API Example: inserts many records at a time

DB API Example: params

Advanced native extension module APIs

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peregrine-io/IfxPy

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Runtime Environment

Linux

Windows

Known Limitation

Future Roadmap

Build the driver from its source code

Examples

Connection to the database

Simple Query

FYI: IfxPy fetch functions

Param Binding of Basic Data Types

Param Binding of Collection and User Defined Data Types

Sample program for Smart Trigger support in Informix Python Driver

Example by using Python DB API

DB API Example: inserts many records at a time

DB API Example: params

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