Update demo to work with the latest MLOS (#48)

README.md

@@ -166,7 +166,7 @@ For this demo, we will be using Github's Codespaces feature to provide a pre-con
 
  ```sh
  # Download the previously generated results database.
- test -f mlos_bench.sqlite || wget -Nc https:///mlospublic.z13.web.core.windows.net/sqlite-autotuning/mlos_bench.sqlite
+ test -f mlos_bench.sqlite || wget -Nc https://mlospublic.z13.web.core.windows.net/sqlite-autotuning/mlos_bench.sqlite
  ```
 
 1. Activate the conda environment in the integrated terminal (lower panel):
@@ -184,7 +184,7 @@ For this demo, we will be using Github's Codespaces feature to provide a pre-con
 
  ```sh
  mkdir -p workdir/benchbase/db.bak
- wget -Nc -O workdir/benchbase/db.bak/tpcc.db https:///mlospublic.z13.web.core.windows.net/sqlite-autotuning/tpcc.db
+ wget -Nc -O workdir/benchbase/db.bak/tpcc.db https://mlospublic.z13.web.core.windows.net/sqlite-autotuning/tpcc.db
  ```
 
 ## Using `mlos_bench`

config/experiments/sqlite-journal-pagesize-caching-experiment.jsonc

@@ -18,9 +18,10 @@
  ]
  },
 
- // What metric to optimize.
- "optimization_target": "90th Percentile Latency (microseconds)",
- "optimization_direction": "min",
+ // What metrics to optimize.
+ "optimization_targets": {
+ "99th Percentile Latency (microseconds)": "min"
+ },
 
  // Store data in the workdir/ folder relative to the repo root.
  "workdir": "$PWD/workdir/",

config/experiments/sqlite-sync-journal-pagesize-caching-experiment.jsonc

@@ -18,9 +18,10 @@
  ]
  },
 
- // What metric to optimize.
- "optimization_target": "90th Percentile Latency (microseconds)",
- "optimization_direction": "min",
+ // What metrics to optimize.
+ "optimization_targets": {
+ "99th Percentile Latency (microseconds)": "min"
+ },
 
  // Store data in the workdir/ folder relative to the repo root.
  "workdir": "$PWD/workdir/",