Add index.md for default doc page, fix table formatting for configs

docs/configs.md

@@ -26,6 +26,7 @@ scala> spark.conf.set("spark.rapids.sql.incompatibleOps.enabled", true)
 
 
 ## General Configuration
+
 Name | Description | Default Value
 -----|-------------|--------------
 <a name="memory.gpu.allocFraction"></a>spark.rapids.memory.gpu.allocFraction|The fraction of total GPU memory that should be initially allocated for pooled memory. Extra memory will be allocated as needed, but it may result in more fragmentation.|0.9
@@ -82,6 +83,7 @@ will enable all the settings in the table below which are not enabled by default
 incompatibilities.
 
 ### Expressions
+
 Name | Description | Default Value | Incompatibilities
 -----|-------------|---------------|------------------
 <a name="sql.expression.Abs"></a>spark.rapids.sql.expression.Abs|absolute value|true|None|
@@ -210,6 +212,7 @@ Name | Description | Default Value | Incompatibilities
 <a name="sql.expression.NormalizeNaNAndZero"></a>spark.rapids.sql.expression.NormalizeNaNAndZero|normalize nan and zero|true|None|
 
 ### Execution
+
 Name | Description | Default Value | Incompatibilities
 -----|-------------|---------------|------------------
 <a name="sql.exec.CoalesceExec"></a>spark.rapids.sql.exec.CoalesceExec|The backend for the dataframe coalesce method|true|None|
@@ -235,13 +238,15 @@ Name | Description | Default Value | Incompatibilities
 <a name="sql.exec.WindowExec"></a>spark.rapids.sql.exec.WindowExec|Window-operator backend|true|None|
 
 ### Scans
+
 Name | Description | Default Value | Incompatibilities
 -----|-------------|---------------|------------------
 <a name="sql.input.CSVScan"></a>spark.rapids.sql.input.CSVScan|CSV parsing|true|None|
 <a name="sql.input.OrcScan"></a>spark.rapids.sql.input.OrcScan|ORC parsing|true|None|
 <a name="sql.input.ParquetScan"></a>spark.rapids.sql.input.ParquetScan|Parquet parsing|true|None|
 
 ### Partitioning
+
 Name | Description | Default Value | Incompatibilities
 -----|-------------|---------------|------------------
 <a name="sql.partitioning.HashPartitioning"></a>spark.rapids.sql.partitioning.HashPartitioning|Hash based partitioning|true|None|

docs/about.md → docs/index.md

@@ -1,10 +1,11 @@
 ---
-layout: page
-title: About
-permalink: /about/
+layout: default
+title: Home
 nav_order: 1
+permalink: /
+description: This site serves as a collection of documentation about the RAPIDS accelerator for Apache Spark
 ---
-
 As data scientists shift from using traditional analytics to leveraging AI applications that better model complex market demands, traditional CPU-based processing can no longer keep up without compromising either speed or cost. The growing adoption of AI in analytics has created the need for a new framework to process data quickly and cost efficiently with GPUs.
 
 The RAPIDS Accelerator for Apache Spark combines the power of the <a href="github.com/rapidsai/cudf/">RAPIDS cuDF</a> library and the scale of the Spark distributed computing framework.  The RAPIDS Accelerator library also has a built-in accelerated shuffle based on <a href="https://github.com/openucx/ucx/">UCX</a> that can be configured to leverage GPU-to-GPU communication and RDMA capabilities. 
+

sql-plugin/src/main/scala/com/nvidia/spark/rapids/RapidsConf.scala

@@ -628,7 +628,7 @@ object RapidsConf {
         |""".stripMargin)
       // scalastyle:on line.size.limit
 
-      println("\n## General Configuration")
+      println("\n## General Configuration\n")
       println("Name | Description | Default Value")
       println("-----|-------------|--------------")
     } else {
@@ -652,19 +652,19 @@ object RapidsConf {
         |incompatibilities.""".stripMargin)
       // scalastyle:on line.size.limit
 
-      printToggleHeader("Expressions")
+      printToggleHeader("Expressions\n")
     }
     GpuOverrides.expressions.values.toSeq.sortBy(_.tag.toString).foreach(_.confHelp(asTable))
     if (asTable) {
-      printToggleHeader("Execution")
+      printToggleHeader("Execution\n")
     }
     GpuOverrides.execs.values.toSeq.sortBy(_.tag.toString).foreach(_.confHelp(asTable))
     if (asTable) {
-      printToggleHeader("Scans")
+      printToggleHeader("Scans\n")
     }
     GpuOverrides.scans.values.toSeq.sortBy(_.tag.toString).foreach(_.confHelp(asTable))
     if (asTable) {
-      printToggleHeader("Partitioning")
+      printToggleHeader("Partitioning\n")
     }
     GpuOverrides.parts.values.toSeq.sortBy(_.tag.toString).foreach(_.confHelp(asTable))
     if (asTable) {