Reputation: 3022
I created a web service in Flask over uwsgi. I thought I would follow good practice and create a SessionPool with 20 connections to be safe. Each call to a web service endpoint, I acquire a connection from the pool, and at the end I release it.
When using Locust to swarm test the API, I was getting hundreds of failures, nearly 100% on some of the longer responses (30Mb JSON response). Smaller payloads were much better, but with intermittent failures.
The minute I switched back to bad practice and created a brand new connection and cursor within the method itself, all my problems vanished. 100% success on 1000s of stress test calls.
My errors were varied. TNS Bad Packet, incorrect number of connections from pool, request cancelled by user....you name it, it was there.
So I can't use Oracle connection pooling with flask it seems, or have a single connection at the Flask application level (this generated errors, not sure why, which is why I switched to connection pooling).
Any advice on creating scalable apps using cx_Oracle in flask.
My original code was:
pool = cx_Oracle.SessionPool("user", "password", "myserver.company.net:1521/myservice", min=10, max=10, increment=0, getmode=cx_Oracle.SPOOL_ATTRVAL_WAIT, encoding="UTF-8")
def read_products_search(search=None):
"""
This function responds to a request for /api/products
with the complete lists of people
:return: json string of list of people
"""
conn_ariel = pool.acquire()
cursor_ariel = conn_ariel.cursor()
search=search.lower()
print("product search term is: ", search)
# Create the list of products from our data
sql = """
SELECT DRUG_PRODUCT_ID, PREFERRED_TRADE_NAME, PRODUCT_LINE, PRODUCT_TYPE, FLAG_PASSIVE, PRODUCT_NUMBER
FROM DIM_DRUG_PRODUCT
WHERE lower(PREFERRED_TRADE_NAME) LIKE '%' || :search1 || '%' or lower(PRODUCT_LINE) LIKE '%' || :search2 || '%' or lower(PRODUCT_NUMBER) LIKE '%' || :search3 || '%'
ORDER BY PREFERRED_TRADE_NAME ASC
"""
cursor_ariel.execute(sql, {"search1":search,"search2":search, "search3":search })
products = []
for row in cursor_ariel.fetchall():
r = reg(cursor_ariel, row, False)
product = {
"drug_product_id" : r.DRUG_PRODUCT_ID,
"preferred_trade_name" : r.PREFERRED_TRADE_NAME,
"product_line" : r.PRODUCT_LINE,
"product_type" : r.PRODUCT_TYPE,
"flag_passive" : r.FLAG_PASSIVE,
"product_number" : r.PRODUCT_NUMBER
}
# logging.info("Adding Product: %r", product)
products.append(product)
if len(products) == 0:
products = None
pool.release(conn_ariel)
return products
Upvotes: 0
Views: 1815
Reputation: 10506
When you create the pool, use threaded=True
.
See How to use Python Flask with Oracle Database.
Upvotes: 1