#Python

I need connect to cache2016 database by python to get some data, but I don' t know how to connect by python, did anyone know how to create connection？

If you can provide any python code, that will be better!

I want to connect IRIS system as it has all the database tables. on top of that I am creating a REST API in python. How can I connect to IRIS DB. here is my example code for connection

def connect():

connection_string = "localhost:1972/USER"

username = "_SYSTEM"

password = "SYS"

conn = iris.connect(connection_string, username, password)

after this connection is created but how can I get tables data. Please let me know more about how we can integrate IRIS database into a python REST API.

I am sending an httpRequest from ObjectScript to a python server. I am not receiving a response in OS

OS config On the client side

// Create an HTTP request object
Set httpRequest = ##class(%Net.HttpRequest).%New()

// Set the server URL
Set httpRequest.Server = "http://127.0.0.1:8080"

// Set content type to JSON
Set httpRequest.ContentType = "application/json"

Hi,

In my Iris Installation I cannot use python. When I try to install external libraries I get no OPENSSL_Applink:

$ pwd
/cygdrive/c/InterSystems/IRIS2/bin
$ ./irispip install --target ../Mgr/python/ pandas
OPENSSL_Uplink(00007FFBEC2F7068,08): no OPENSSL_Applink

I get the same error when I try to install a wheel file:

New to Python. Attempting to use pypyodbc to select data from a table in one Cache database, and inserting into a similarly configured table in another. Process works fine except for tables containing Date types. NULL values in date columns are handled without issue, but when data is present, insert fails with:

An error occurred: argument 7: TypeError: 'NoneType' object cannot be interpreted as an integer.

Source table:

My usecase is sorting and removing duplicates and getting count from a file that has json messages as a individual rows.

I am currently planning to use pandas for this purpose as its really fast. Below are the steps i am following

1) call a python function (called function) from IRIS classmethod(calling function)

2) the call python function will read the json file in a dataframe

3) perform sorting, dup removal, count in the dataframe

4) convert the dataframe into iris stream

5) return back the stream to iris calling function class method

I have table

CREATE TABLE nodes (
        name VARCHAR(50) NOT NULL, 
        parent VARCHAR(50), 
        PRIMARY KEY (name), 
        FOREIGN KEY(parent) REFERENCES nodes (name) ON UPDATE cascade
);

I put some data

INSERT INTO nodes (name, parent) VALUES ('n1', NULL);
INSERT INTO nodes (name, parent) VALUES ('n11', 'n1');
INSERT INTO nodes (name, parent) VALUES ('n12', 'n1');
INSERT INTO nodes (name, parent) VALUES ('n13', 'n1');

Let's delete all

DELETE FROM nodes;

Nope, no way.

SQL Error [124] [S1000]: [SQLCODE: <-124>:<FOREIGN KEY constraint failed referential check upon DELETE of row in referenced table>]
[Location: <ServerLoop>]
[%msg: <At least 1 Row exists in table 'SQLUser.nodes' which references key 'NODESPKey2' - Foreign Key Constraint 'NODESFKey3', Field(s) 'parent' failed on referential action of NO ACTION>]