Demo project

README.md

@@ -124,6 +124,12 @@ The src (`./src`) directory is where the Rust code goes. This gets called by the
 `system.rs` - all the functions and structs related to getting information from the system machine
 `database.rs` - the database struct and the related functions
 
+## Demo Project
+
+In the demo project, we made an API that uses our database to store grades. Here we are sending a PUT and then doing a GET.
+
+![image](https://github.com/user-attachments/assets/f06156d7-c31b-4afb-ba7e-e5156deedac7)
+
 ## Testing
 
 ### Rust testing

demo-project/.gitignore

@@ -0,0 +1,8 @@
+
+
+# Auto-generated by autoignore:
+# --------------- #
+../ECS165
+../src/regres.md
+../testM3.py
+# ----------------#

demo-project/main.py

@@ -0,0 +1,67 @@
+from fastapi import FastAPI
+from lstore.db import Database
+from lstore.query import Query
+from pydantic import BaseModel
+from fastapi.responses import JSONResponse
+
+
+app = FastAPI()
+db = Database()
+scores_table = db.create_table('Scores', 5, 0)
+query = Query(scores_table)
+
+
+class Scores(BaseModel):
+    student_id: int
+    score_1: int
+    score_2: int
+    score_3: int
+    score_4: int
+
+
+"""
+Here is how you can access a score
+
+```sh
+curl "http://127.0.0.1:8000/values/1"
+```
+"""
+@app.get("/values/{value_id}")
+def read_value(value_id: int):
+    res = query.select(value_id, 0, [1] * 5)
+
+    if len(res) > 0:
+        val = res[0]
+
+        if val is not None:
+            return JSONResponse(content=val.columns)
+
+    return JSONResponse(content={})
+
+
+"""
+Here is how you can add data using curl.
+
+```sh
+curl -X PUT "http://127.0.0.1:8000/values"
+    -H "Content-Type: application/json"
+    -d '{
+        "student_id": 100200300,
+        "score_1": 94,
+        "score_2": 91,
+        "score_3": 98,
+        "score_4": 94
+    }'
+```
+"""
+@app.put("/values")
+def update_item(values: Scores):
+    ret = query.insert(
+        values.student_id,
+        values.score_1,
+        values.score_2,
+        values.score_3,
+        values.score_4,
+    )
+
+    return JSONResponse(content=ret)

demo-project/requirements.txt

@@ -0,0 +1,4 @@
+../target/wheels/lstore-0.1.0-cp312-cp312-manylinux_2_34_x86_64.whl
+fastapi
+uvicorn
+black

demo-project/running.sh

@@ -0,0 +1 @@
+uvicorn main:app

regress.md

@@ -0,0 +1,68 @@
+src (sum-tests) λ cargo bench -- sum
+   Compiling either v1.13.0
+   Compiling crossbeam-utils v0.8.21
+   Compiling itertools v0.10.5
+   Compiling crossbeam-epoch v0.9.18
+   Compiling crossbeam-deque v0.8.6
+   Compiling rayon-core v1.12.1
+   Compiling rayon v1.10.0
+   Compiling criterion-plot v0.5.0
+   Compiling criterion v0.4.0
+   Compiling redoxql v0.1.0 (/home/jake/Repos/redoxql)
+    Finished `bench` profile [optimized + debuginfo] target(s) in 1m 19s
+     Running unittests src/lib.rs (/home/jake/Repos/redoxql/target/release/deps/redoxql-bd4aee3918e78c09)
+
+running 2 tests
+test table::tests::large_sum_test ... ignored
+test table::tests::sum_test ... ignored
+
+test result: ok. 0 passed; 0 failed; 2 ignored; 0 measured; 43 filtered out; finished in 0.00s
+
+     Running benches/merge_benchmarks.rs (/home/jake/Repos/redoxql/target/release/deps/merge_benchmarks-9a5f75221ac36d28)
+Gnuplot not found, using plotters backend
+     Running benches/page_benchmarks.rs (/home/jake/Repos/redoxql/target/release/deps/page_benchmarks-23f697d7bf81e8e7)
+Gnuplot not found, using plotters backend
+     Running benches/page_dir_benchmarks.rs (/home/jake/Repos/redoxql/target/release/deps/page_dir_benchmarks-a5a0b831cdac0359)
+Gnuplot not found, using plotters backend
+     Running benches/query_benchmarks.rs (/home/jake/Repos/redoxql/target/release/deps/query_benchmarks-2d8c6c38b30cda52)
+Gnuplot not found, using plotters backend
+sum operation/sum 10 records
+                        time:   [34.739 µs 34.908 µs 35.093 µs]
+                        change: [+2366.9% +2398.9% +2434.7%] (p = 0.00 < 0.05)
+                        Performance has regressed.
+Found 8 outliers among 100 measurements (8.00%)
+  1 (1.00%) low severe
+  4 (4.00%) high mild
+  3 (3.00%) high severe
+sum operation/sum 100 records
+                        time:   [97.079 µs 98.910 µs 101.18 µs]
+                        change: [+495.20% +502.97% +511.99%] (p = 0.00 < 0.05)
+                        Performance has regressed.
+Found 10 outliers among 100 measurements (10.00%)
+  6 (6.00%) high mild
+  4 (4.00%) high severe
+sum operation/sum 1000 records
+                        time:   [479.19 µs 480.36 µs 481.51 µs]
+                        change: [+166.07% +166.90% +167.77%] (p = 0.00 < 0.05)
+                        Performance has regressed.
+Found 1 outliers among 100 measurements (1.00%)
+  1 (1.00%) low mild
+sum operation/sum 10000 records
+                        time:   [3.5710 ms 3.5928 ms 3.6174 ms]
+                        change: [+75.521% +76.708% +78.180%] (p = 0.00 < 0.05)
+                        Performance has regressed.
+Found 10 outliers among 100 measurements (10.00%)
+  2 (2.00%) high mild
+  8 (8.00%) high severe
+Benchmarking sum operation/sum 100000 records: Warming up for 3.0000 s
+Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 8.7s, or reduce sample count to 50.
+sum operation/sum 100000 records
+                        time:   [53.093 ms 53.273 ms 53.463 ms]
+                        change: [+31.530% +32.465% +33.422%] (p = 0.00 < 0.05)
+                        Performance has regressed.
+Found 9 outliers among 100 measurements (9.00%)
+  8 (8.00%) high mild
+  1 (1.00%) high severe
+
+(arg: 1) ^C
+src (sum-tests) λ