@@ -9,9 +9,10 @@ In this project, you'll build a server that handles the uploading of CSV files,
The server will write two files for each uploaded CSV file: one in CSV format and another in Parquet (i.e., they are two copies of the table in different formats). Clients that we provide will communicate with your server via RPC calls.
Learning objectives:
* Implement logic for uploading and processing CSV and Parquet files
* Perform computations like summing values from specific columns
* Manage concurrency with locking in multi-threading server/client
* Implement logic for uploading and processing CSV and Parquet files.
* Perform computations like summing values from specific columns.
* Manage concurrency with locking in multi-threading server/client.
* Benchmark a server/client system and visualize the results.
Before starting, please review the [general project directions](../projects.md).
...
...
@@ -52,7 +53,7 @@ python3 client.py workload
# should see multiple "TODO"s
```
In P3, `client.py` takes in a batch of operation commands stored in `workload` and executes them line by line. Inspect both the `workload` content and client code (i.e., `read_workload_file()`) to understand how each text command leads to one `gRPC` call.
In P3, `client.py` takes in a batch of operation commands stored in `workload` and executes them line by line. Inspect both the `workload` content and client code (i.e., `read_workload_file()`) to understand how each text command leads to one `gRPC` call. A separate `purge` workload file is provided and *should not be modified*. The client can use a RPC call `Purge()` to reset the server and remove all files stored by the remote peer.
Create a `Dockerfile.server` to build an image that will also let you run your
server in a container. It should be possible to build and run your
