s/img-responsive/img-fluid/g (#164)

Author: kevinjqliu

content/blog/2024-01-19-datafusion-34.0.0.md

@@ -113,7 +113,7 @@ more than 2x faster on [ClickBench] compared to version `25.0.0`, as shown below
 [ClickBench]: https://benchmark.clickhouse.com/
 
 <figure style="text-align: center;">
-  <img src="/blog/images/datafusion-34.0.0/compare-new.png" width="100%" class="img-responsive" alt="Fig 1: Adaptive Arrow schema architecture overview.">
+  <img src="/blog/images/datafusion-34.0.0/compare-new.png" width="100%" class="img-fluid" alt="Fig 1: Adaptive Arrow schema architecture overview.">
   <figcaption>
     <b>Figure 1</b>: Performance improvement between <code>25.0.0</code> and <code>34.0.0</code> on ClickBench. 
     Note that DataFusion <code>25.0.0</code>, could not run several queries due to 
@@ -122,7 +122,7 @@ more than 2x faster on [ClickBench] compared to version `25.0.0`, as shown below
 </figure>
 
 <figure style="text-align: center;">
-  <img src="/blog/images/datafusion-34.0.0/compare.png" width="100%" class="img-responsive" alt="Fig 1: Adaptive Arrow schema architecture overview.">
+  <img src="/blog/images/datafusion-34.0.0/compare.png" width="100%" class="img-fluid" alt="Fig 1: Adaptive Arrow schema architecture overview.">
   <figcaption>
     <b>Figure 2</b>: Total query runtime for DataFusion <code>34.0.0</code> and DataFusion <code>25.0.0</code>.
   </figcaption>

content/blog/2024-03-06-comet-donation.md

@@ -39,7 +39,7 @@ performance improvements for some workloads as shown below.
   <img 
     src="/blog/images/datafusion-comet/comet-architecture.png" 
     width="100%" 
-    class="img-responsive" 
+    class="img-fluid" 
     alt="Fig 1: Adaptive Arrow schema architecture overview."
   >
   <figcaption>

content/blog/2024-07-20-datafusion-comet-0.1.0.md

@@ -88,7 +88,7 @@ for details of the environment used for these benchmarks.
 <img
 src="/blog/images/comet-0.1.0/tpch_allqueries.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Chart showing TPC-H benchmark results for Comet 0.1.0"
 />
 
@@ -105,7 +105,7 @@ The following chart shows how much Comet currently accelerates each query from t
 <img 
   src="/blog/images/comet-0.1.0/tpch_queries_speedup.png" 
   width="100%" 
-  class="img-responsive" 
+  class="img-fluid" 
   alt="Chart showing TPC-H benchmark results for Comet 0.1.0"
 />
 

content/blog/2024-08-20-python-datafusion-40.0.0.md

@@ -72,7 +72,7 @@ release, users can fully use these tools in their workflow.
   <img 
     src="/blog/images/python-datafusion-40.0.0/vscode_hover_tooltip.png" 
     width="100%"
-    class="img-responsive"
+    class="img-fluid"
     alt="Fig 1: Enhanced tooltips in an IDE."
   >
   <figcaption>
@@ -88,7 +88,7 @@ used a function's arguments as shown in Figure 2.
   <img 
     src="/blog/images/python-datafusion-40.0.0/pylance_error_checking.png"
     width="100%"
-    class="img-responsive"
+    class="img-fluid"
     alt="Fig 2: Error checking in static analysis"
   >
   <figcaption>

content/blog/2024-08-28-datafusion-comet-0.2.0.md

@@ -86,7 +86,7 @@ Comet 0.2.0 provides a 62% speedup compared to Spark. This is slightly better th
 <img
 src="/blog/images/comet-0.2.0/tpch_allqueries.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Chart showing TPC-H benchmark results for Comet 0.2.0"
 />
 
@@ -98,7 +98,7 @@ Comet 0.1.0, which did not provide any speedup for this benchmark.
 <img
 src="/blog/images/comet-0.2.0/tpcds_allqueries.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Chart showing TPC-DS benchmark results for Comet 0.2.0"
 />
 

content/blog/2024-09-13-string-view-german-style-strings-part-1.md

@@ -47,7 +47,7 @@ StringView support was released as part of [arrow-rs v52.2.0](https://crates.io/
 <img
 src="/blog/images/string-view-1/figure1-performance.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="End to end performance improvements for ClickBench queries"
 />
 
@@ -61,7 +61,7 @@ Figure 1: StringView improves string-intensive ClickBench query performance by 2
 <img
 src="/blog/images/string-view-1/figure2-string-view.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Diagram of using StringArray and StringViewArray to represent the same string content"
 />
 
@@ -121,7 +121,7 @@ On the other hand, reading Parquet data as a StringViewArray can re-use the same
 <img
 src="/blog/images/string-view-1/figure4-copying.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Diagram showing how StringViewArray can avoid copying by reusing decoded Parquet pages."
 />
 
@@ -147,7 +147,7 @@ Strings are stored as byte sequences. When reading data from (potentially untrus
 <img
 src="/blog/images/string-view-1/figure5-loading-strings.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Figure showing time to load strings from Parquet and the effect of optimized UTF-8 validation."
 />
 
@@ -162,7 +162,7 @@ UTF-8 validation in Rust is highly optimized and favors longer strings (as shown
 <img
 src="/blog/images/string-view-1/figure6-utf8-validation.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Figure showing UTF-8 validation throughput vs string length."
 />
 
@@ -212,7 +212,7 @@ With StringViewArray we saw a 24% end-to-end performance improvement, as shown i
 <img
 src="/blog/images/string-view-1/figure7-end-to-end.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Figure showing StringView improves end to end performance by 24 percent."
 />
 

content/blog/2024-09-13-string-view-german-style-strings-part-2.md

@@ -66,7 +66,7 @@ Figure 1 illustrates the difference between the output of both string representa
 <img
 src="/blog/images/string-view-2/figure1-zero-copy-take.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Diagram showing Zero-copy `take`/`filter` for StringViewArray"
 />
 
@@ -121,7 +121,7 @@ To eliminate the impact of the faster Parquet reading using StringViewArray (see
 <img
 src="/blog/images/string-view-2/figure2-filter-time.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Figure showing StringViewArray reduces the filter time by 32% on ClickBench query 22."
 />
 

content/blog/2024-11-18-datafusion-fastest-single-node-parquet-clickbench.md

@@ -45,14 +45,14 @@ been held by traditional C/C++-based engines.
 <img
 src="/blog/images/2x_bgwhite_original.png"
 width="80%"
-class="img-responsive"
+class="img-fluid"
 alt="Apache DataFusion Logo"
 />
 
 <img
 src="/blog/images/clickbench-datafusion-43/perf.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="ClickBench performance for DataFusion 43.0.0"
 />
 
@@ -97,7 +97,7 @@ Figure 2.
 <img
 src="/blog/images/clickbench-datafusion-43/perf-over-time.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="ClickBench performance results over time for DataFusion"
 />
 
@@ -134,7 +134,7 @@ resulted in measurable performance improvements.
 <img
 src="/blog/images/clickbench-datafusion-43/string-view-take.png"
 width="80%"
-class="img-responsive"
+class="img-fluid"
 alt="Illustration of how take works with StringView"
 />
 
@@ -216,7 +216,7 @@ bypass the first phase when it is not working efficiently, shown in Figure 4.
 <img
 src="/blog/images/clickbench-datafusion-43/skipping-partial-aggregation.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Two phase aggregation diagram from DataFusion API docs annotated to show first phase not helping"
 />
 
@@ -253,7 +253,7 @@ length strings and binary data].
 <img
 src="/blog/images/clickbench-datafusion-43/row-based-storage.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Row based storage for multiple group columns"
 />
 
@@ -276,7 +276,7 @@ at the [one shipped in DataFusion `43.0.0`], shown in Figure 6.
 <img
 src="/blog/images/clickbench-datafusion-43/column-based-storage.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Column based storage for multiple group columns"
 />
 

content/blog/2025-01-17-datafusion-comet-0.5.0.md

@@ -52,14 +52,14 @@ Comet 0.5.0 achieves a 1.9x speedup for single-node TPC-H @ 100 GB, an improveme
 <img
 src="/blog/images/comet-0.5.0/tpch_allqueries.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Chart showing TPC-H benchmark results for Comet 0.5.0"
 />
 
 <img
 src="/blog/images/comet-0.5.0/tpch_queries_compare.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Chart showing TPC-H benchmark results for Comet 0.5.0"
 />
 

content/blog/2025-02-02-datafusion-ballista-43.0.0.md

@@ -91,7 +91,7 @@ Per query comparison:
 <img
 src="/blog/images/datafusion-ballista-43.0.0/tpch_queries_compare.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Per query comparison"
 />
 
@@ -100,7 +100,7 @@ Relative speedup:
 <img
 src="/blog/images/datafusion-ballista-43.0.0/tpch_queries_speedup_rel.png"
 width="100%"
-class="img-responsive"
+class="img-fluid"
 alt="Relative speedup graph"
 />
 
@@ -109,7 +109,7 @@ The overall speedup is 2.9x
 <img
 src="/blog/images/datafusion-ballista-43.0.0/tpch_allqueries.png"
 width="50%"
-class="img-responsive"
+class="img-fluid"
 alt="Overall speedup"
 />
 
@@ -120,7 +120,7 @@ Ballista now has a new logo, which is visually similar to other DataFusion proje
 <img
 src="/blog/images/datafusion-ballista-43.0.0/ballista-logo.png"
 width="50%"
-class="img-responsive"
+class="img-fluid"
 alt="New logo"
 />