This is an automated email from the ASF dual-hosted git repository.
jiayu pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/sedona-spatialbench.git
The following commit(s) were added to refs/heads/main by this push:
new 8c3d806 [DOCS] resizing and applying grid format to image (#35)
8c3d806 is described below
commit 8c3d806e8fa95d08e406a07e5fbae87a57cca973
Author: Kelly-Ann Dolor <[email protected]>
AuthorDate: Tue Sep 23 17:33:49 2025 -0700
[DOCS] resizing and applying grid format to image (#35)
---
docs/single-node-benchmarks.md | 11 ++++-------
1 file changed, 4 insertions(+), 7 deletions(-)
diff --git a/docs/single-node-benchmarks.md b/docs/single-node-benchmarks.md
index 08f83c8..5a5d552 100644
--- a/docs/single-node-benchmarks.md
+++ b/docs/single-node-benchmarks.md
@@ -21,13 +21,11 @@ title: SpatialBench Single Node Benchmarks
This page presents the SpatialBench single-node benchmark results for
SedonaDB, DuckDB, and GeoPandas. The benchmark was conducted on September 22,
2025, using SpatialBench v0.1.0 pre-release (commit 9094be8 on the main branch).
-Here are the results for v0.1 of the SpatialBench queries for scale factor 1
(SF1):
+Here are the results for v0.1 of the SpatialBench queries for scale factor 1
(SF1) and scale factor 10 (SF10):
-
-
-Here are the results for SF10:
-
-
+{ width="400" }
+{ width="400" }
+{: .grid }
The remainder of this document summarizes the hardware and software versions,
query methodologies for specific engines, and provides information on where to
find the benchmark code.
@@ -35,7 +33,6 @@ The remainder of this document summarizes the hardware and
software versions, qu
This benchmark was run on an AWS EC2 m7i.2xlarge instance, which has 8 CPUs
and 32 GB of RAM. We encourage you to try running SpatialBench on different
hardware configurations and share your results with the community.
-
## Benchmark settings
Here are the software versions used in this benchmark: