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)
print(data)
connection.close()
if __name__ == "__main__":
read_data()
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 pypi.python.org 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 .
COPY server.py .
CMD ["python", "server.py"]
The error that I am getting is:
Error occurred during initialization of VM
Unable to load native library: Error loading shared library libjvm.so: No such file or directory (needed by /usr/lib/jvm/java-1.8-openjdk/jre/lib/amd64/libjava.so)
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.