Fix spark-3.0.1 shim to be released

docs/configs.md

@@ -57,7 +57,7 @@ Name | Description | Default Value
 <a name="sql.format.parquet.enabled"></a>spark.rapids.sql.format.parquet.enabled|When set to false disables all parquet input and output acceleration|true
 <a name="sql.format.parquet.multiThreadedRead.enabled"></a>spark.rapids.sql.format.parquet.multiThreadedRead.enabled|When set to true, reads multiple small files within a partition more efficiently by reading each file in a separate thread in parallel on the CPU side before sending to the GPU. Limited by spark.rapids.sql.format.parquet.multiThreadedRead.numThreads and spark.rapids.sql.format.parquet.multiThreadedRead.maxNumFileProcessed|true
 <a name="sql.format.parquet.multiThreadedRead.maxNumFilesParallel"></a>spark.rapids.sql.format.parquet.multiThreadedRead.maxNumFilesParallel|A limit on the maximum number of files per task processed in parallel on the CPU side before the file is sent to the GPU. This affects the amount of host memory used when reading the files in parallel.|2147483647
-<a name="sql.format.parquet.multiThreadedRead.numThreads"></a>spark.rapids.sql.format.parquet.multiThreadedRead.numThreads|The maximum number of threads, on the executor, to use for reading small parquet files in parallel.|20
+<a name="sql.format.parquet.multiThreadedRead.numThreads"></a>spark.rapids.sql.format.parquet.multiThreadedRead.numThreads|The maximum number of threads, on the executor, to use for reading small parquet files in parallel. This can not be changed at runtime after the executor has started.|20
 <a name="sql.format.parquet.read.enabled"></a>spark.rapids.sql.format.parquet.read.enabled|When set to false disables parquet input acceleration|true
 <a name="sql.format.parquet.write.enabled"></a>spark.rapids.sql.format.parquet.write.enabled|When set to false disables parquet output acceleration|true
 <a name="sql.hasNans"></a>spark.rapids.sql.hasNans|Config to indicate if your data has NaN's. Cudf doesn't currently support NaN's properly so you can get corrupt data if you have NaN's in your data and it runs on the GPU.|true

shims/pom.xml

@@ -45,7 +45,6 @@
                 <activeByDefault>true</activeByDefault>
             </activation>
             <modules>
-                <module>spark301</module>
                 <module>spark302</module>
                 <module>spark310</module>
             </modules>
@@ -54,6 +53,7 @@
 
     <modules>
         <module>spark300</module>
+        <module>spark301</module>
         <module>aggregator</module>
     </modules>
     <dependencies>

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

@@ -459,7 +459,7 @@ object RapidsConf {
   val PARQUET_MULTITHREAD_READ_NUM_THREADS =
     conf("spark.rapids.sql.format.parquet.multiThreadedRead.numThreads")
       .doc("The maximum number of threads, on the executor, to use for reading small " +
-        "parquet files in parallel. This can not be changed at runtime after the executor has" +
+        "parquet files in parallel. This can not be changed at runtime after the executor has " +
         "started.")
       .integerConf
       .createWithDefault(20)