From efc39bb4cf805e4f22aba459de3f2b55f29854b0 Mon Sep 17 00:00:00 2001 From: JulienPeloton Date: Fri, 6 Dec 2024 21:17:49 +0100 Subject: [PATCH 1/4] Do not escape by default. Closes #11. --- apps/utils/decoding.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/apps/utils/decoding.py b/apps/utils/decoding.py index 2aec8b9..bc50b27 100644 --- a/apps/utils/decoding.py +++ b/apps/utils/decoding.py @@ -156,7 +156,7 @@ def hbase_to_dict(hbase_output, escape_slash=False): # and then parse it back to Dict in Python if escape_slash: hbase_output = str(hbase_output) - optimized = json.loads(JSONObject(str(hbase_output)).toString()) + optimized = json.loads(JSONObject(hbase_output).toString()) return optimized From 19ad359d876787cf7c90396932f7e65417928c6f Mon Sep 17 00:00:00 2001 From: JulienPeloton Date: Sat, 7 Dec 2024 00:17:38 +0100 Subject: [PATCH 2/4] Update README --- README.md | 35 +++++++++++++++++++++++++++++++++++ 1 file changed, 35 insertions(+) diff --git a/README.md b/README.md index a057f78..01365ab 100644 --- a/README.md +++ b/README.md @@ -71,6 +71,7 @@ By replacing `HOST` and `$PORT` with their values (could be the main API instanc To profile a route, simply use: ```bash +export PYTHONPATH=$PYTHONPATH:$PWD ./profile_route.sh --route apps/routes/ ``` @@ -96,6 +97,40 @@ Line # Hits Time Per Hit % Time Line Contents 0.00 seconds - /home/peloton/codes/fink-object-api/apps/routes/template/utils.py:19 - my_function ``` +### Main route performance + +The main route performance for a medium size object (14 alerts, about 130 columns): + +| request| time (second)| +|--------|--------------| +| Lightcurve data (3 cols) | 0.1 | +| Lightcurve data (130 cols) | 0.3 | +| Lightcurve & 1 cutout data | 3.4 | +| Lightcurve & 3 cutout data | 5.4 | + +Requesting cutouts is costly! We have 14 alerts, which is about 0.25 second per cutout. Note that requesting 3 cutouts is faster then 3 times 1 cutout, as what drives the cost is to load the full block in HDFS in memory (see this [discussion](https://github.com/astrolabsoftware/fink-broker/issues/921) about the strategy behind). + +Note that for lightcurve data, the time is fortunately not linear with the number of alerts per object: + +| request| time (second)| +|--------|--------------| +| Lightcurve data (33 alerts, 130 cols) | 0.3 | +| Lightcurve data (1575 alerts, 130 cols) | 1.8| + + +### The power of the Gateway + +Initially, we loaded the client JAR using jpype at the application's start, sharing the client among all users. This approach caused several issues due to the client's lack of thread safety. To resolve this, we switched to an isolation mode, where a new client is created for each query instead of reusing a global client (see astrolabsoftware/fink-science-portal#516). + +While this strategy effectively prevents conflicts between sessions, it significantly slows down individual queries. For instance, when using the route `api/v1/objects`, the overall query time is primarily determined by the time taken to load the client. + +Instead of loading the client from scratch in the Python application for each query, we now spawn a JVM once (from outside the Python application), and access Java objects dynamically from the Python application using py4j. This has led to huge speed-up for most queries without the need for cutouts, e.g. for the `/api/v1/objects` route: + +| | time (second)| +|--------|--------------| +| Isolation mode | 3.4 | +| Gateway | 0.3 | + ## Adding a new route You find a [template](apps/routes/template) route to start a new route. Just copy this folder, and modify it with your new route. Alternatively, you can see how other routes are structured to get inspiration. Do not forget to add tests in the [test folder](tests/)! 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install/README.md | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/apps/routes/cutouts/utils.py b/apps/routes/cutouts/utils.py index 04a57ae..c70b9ba 100644 --- a/apps/routes/cutouts/utils.py +++ b/apps/routes/cutouts/utils.py @@ -91,7 +91,7 @@ def format_and_send_cutout(payload: dict): group_alerts=False, truncated=True, extract_color=False, - escape_slash=True, + escape_slash=False, ) json_payload = {} diff --git a/apps/utils/decoding.py b/apps/utils/decoding.py index bc50b27..e1d1fab 100644 --- a/apps/utils/decoding.py +++ b/apps/utils/decoding.py @@ -150,13 +150,13 @@ def format_hbase_output( def hbase_to_dict(hbase_output, escape_slash=False): """Optimize hbase output TreeMap for faster conversion to DataFrame""" gateway = JavaGateway(auto_convert=True) - JSONObject = gateway.jvm.org.json.JSONObject + GSONObject = gateway.jvm.com.google.gson.Gson # We do bulk export to JSON on Java side to avoid overheads of iterative access # and then parse it back to Dict in Python if escape_slash: hbase_output = str(hbase_output) - optimized = json.loads(JSONObject(hbase_output).toString()) + optimized = json.loads(GSONObject().toJson(hbase_output)) return optimized diff --git a/install/README.md b/install/README.md index 7bc779f..988d3bd 100644 --- a/install/README.md +++ b/install/README.md @@ -35,7 +35,7 @@ User=almalinux Group=almalinux WorkingDirectory=/home/almalinux/fink-object-api/bin -ExecStart=/bin/sh -c 'source /home/almalinux/.bashrc; exec java -cp "Lomikel-03.04.00x-HBase.exe.jar:py4j0.10.9.7.jar" com.Lomikel.Py4J.LomikelGatewayServer 2>&1 >> /tmp/fink_gateway.out' +ExecStart=/bin/sh -c 'source /home/almalinux/.bashrc; exec java -cp "Lomikel-03.04.00x-HBase.exe.jar:py4j0.10.9.7.jar:gson-2.11.0.jar" com.Lomikel.Py4J.LomikelGatewayServer 2>&1 >> /tmp/fink_gateway.out' [Install] WantedBy=multi-user.target