ashwinbhaskar / jdbc-bulk-copy-update Goto Github PK

A clojure program to trace and demonstrate bulk copy-and-update statements in postgresql

There are real world scenarios where we need to support updating rows in bulk, say, via a CSV file. One such example would be inventory management. The quantity of inventory would need to be updated on a regular basis. The problem comes when you have the store manager uploading a CSV (with updated inventories) to your application server which then needs to update the quantity in the inventory table. This CSV could contain as high as 10K items.

This is an attempt at solving this problem. Instead of sending each update statement one-by-one or constructing a complex query, we can create a temporary table and copy the CSV into the temporary table using JDBC's Copy Manager. Then copy all the data from the temporary table to the inventory table. Drop the temporary table.

You will need to have docker installed and then run the following command to start jaegar-all-in-one

docker run -d --name jaeger \
  -e COLLECTOR_ZIPKIN_HTTP_PORT=9411 \
  -p 5775:5775/udp \
  -p 6831:6831/udp \
  -p 6832:6832/udp \
  -p 5778:5778 \
  -p 16686:16686 \
  -p 14268:14268 \
  -p 9411:9411 \
  jaegertracing/all-in-one:1.14

You can see the jaegar dashboard in your browser at http://localhost:16686

The project contains a single file with 3 states - server (http server), tracer (jaegar) and a datasource (next.jdbc). The file has comments to,

• Start all the 3 states - server, tracer and datasource
• Create table in the database (the database bulk_copy_update_test should be created by you)
• Create a table called inventory
• Generate master inventory file
• Copy the master inventory file into table inventory
• Generate test files in a folder update_csv_files. Each file contains item_id and the updated quantity separated by a comma. Each of these files contains 50K items.
• Update inventory using the files in folder update_csv_files in a concurrent manner.

After you run the command (last command) to update the inventory table, you can go to http://localhost:16686 and select the service as bulk-copy-update. You should be able to see the traces.

The http server listens at port 8080. The following curl should work

curl -XPOST  "http://localhost:8080/file" -F file=@update_csv_files/inventory-update-250001.csv

You can run your perf test against the end point and see the traces on jaegar dashboard to look at the performance