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Connect to MSSQL using python jaydebeapi from inside a Docker Image

I have a Python code that’s running properly on my system (Mac OS Catalina) but is failing when I am using it in my docker image. I am open to having a completely new dockerfile as well if that can work.

import pandas as pd
import jaydebeapi
import argparse
import json
from datetime import datetime
import os

def read_data():
    MSSQL_DRIVER = "net.sourceforge.jtds.jdbc.Driver"
    host = 'server_name'
    port = '1433'
    user = 'user'
    password = 'password'
    db_url = f"jdbc:jtds:sqlserver://{host}:{port};"
    connection_properties = {
    "user": user,
    "password": password
    jar_path = './jtds-1.3.1.jar'
    connection = jaydebeapi.connect(MSSQL_DRIVER, db_url, connection_properties, jar_path)
    query = 'SELECT TOP 10 * FROM table_name;'
    data = pd.read_sql_query(query,connection)

if __name__ == "__main__":

I have the jar file next to my code so it can be picked up properly.

Here is my dockerfile:

FROM alpine:3.7
RUN apk update 
&& apk upgrade 
&& apk add --no-cache bash 
&& apk add --no-cache --virtual=build-dependencies unzip 
&& apk add --no-cache curl 
&& apk add --no-cache openjdk8-jre
RUN apk add --no-cache python3 
&& python3 -m ensurepip 
&& pip3 install --upgrade pip setuptools 
&& rm -r /usr/lib/python*/ensurepip && 
if [ ! -e /usr/bin/pip ]; then ln -s pip3 /usr/bin/pip ; fi && 
if [[ ! -e /usr/bin/python ]]; then ln -sf /usr/bin/python3 /usr/bin/python; fi && 
rm -r /root/.cache
RUN apk add make automake gcc g++ subversion python3-dev
RUN pip install --trusted-host flask
ENV JAVA_HOME="/usr/lib/jvm/java-1.8-openjdk"
EXPOSE 8000 
WORKDIR /usr/src/app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY jtds-1.3.1.jar .
CMD ["python", ""]

The error that I am getting is:

Error occurred during initialization of VM
Unable to load native library: Error loading shared library No such file or directory (needed by /usr/lib/jvm/java-1.8-openjdk/jre/lib/amd64/

Please suggest me better dockerfile that I can use. Thanks for the help 🙂



Found the solution, all I needed to do was to add the following line to my dockerfile.

ENV LD_LIBRARY_PATH="/usr/lib/jvm/java-1.8-openjdk/jre/lib/amd64/server"

The rest is the same and it worked like a charm! I tried working with pymssql, pyodbc (FreeTDS one) and nothing seemed to work for me.