[Doc] Improve spelling (#175)

cpp/README.rst

@@ -106,7 +106,7 @@ After the building, you can install the GraphAr C++ library with:
 Generate API document
 ^^^^^^^^^^^^^^^^^^^^^
 
-Building the API document with Doxgen:
+Building the API document with Doxygen:
 
 .. code-block:: shell
 

cpp/test/test_arrow_chunk_writer.cc

@@ -34,7 +34,7 @@ limitations under the License.
 #define CATCH_CONFIG_MAIN
 #include <catch2/catch.hpp>
 
-TEST_CASE("test_vertex_property_wrtier_from_file") {
+TEST_CASE("test_vertex_property_writer_from_file") {
   std::string root;
   REQUIRE(GetTestResourceRoot(&root).ok());
 

docs/user-guide/getting-started.rst

@@ -31,7 +31,7 @@ The file `person.vertex.yml`_ located inside the test data contains an example o
 
 Edge information
 ````````````````
-Each edge information file defines a single type of edges with specific labels for the source vertex, destination vertex and the edge, e.g., "person_konws_person" in this case. It defines the meta information such as the edge chunk size, the source vertex chunk size, the destination vertex chunk size, if the edges are directed or not, the relative file path for edge data files, the adjLists and the version of GraphAr. The file `person_knows_person.edge.yml`_ located inside the test data contains an example of the edge information file.
+Each edge information file defines a single type of edges with specific labels for the source vertex, destination vertex and the edge, e.g., "person_knows_person" in this case. It defines the meta information such as the edge chunk size, the source vertex chunk size, the destination vertex chunk size, if the edges are directed or not, the relative file path for edge data files, the adjLists and the version of GraphAr. The file `person_knows_person.edge.yml`_ located inside the test data contains an example of the edge information file.
 
 In GAR format, separate data files are used to store the structure (called adjList) and the properties for edges. The adjList type can be either of **unordered_by_source**, **unordered_by_dest**, **ordered_by_source** or **ordered_by_dest** (see `Edges in GraphAr <file-format.html#edges-in-graphar>`_ for more). For a specific type of adjList, the meta information includes its file path prefix, the file type, as well as all the property groups attached.
 

spark/src/main/scala/com/alibaba/graphar/EdgeInfo.scala

@@ -106,12 +106,12 @@ class EdgeInfo() {
     throw new IllegalArgumentException
   }
 
-  /** Check if the edge info contains the property group in cerain adj list structure.
+  /** Check if the edge info contains the property group in certain adj list structure.
    *
    * @param property_group the property group to check.
    * @param adj_list_type the type of adj list structure.
-   * @return true if the edge info contains the property group in cerain adj list structure.
-   *         If edge info not support the given adj list type or not contains the proerpty group in the adj list structure,
+   * @return true if the edge info contains the property group in certain adj list structure.
+   *         If edge info not support the given adj list type or not contains the property group in the adj list structure,
    *         return false.
    */
   def containPropertyGroup(property_group: PropertyGroup, adj_list_type: AdjListType.Value): Boolean = {
@@ -388,7 +388,7 @@ class EdgeInfo() {
   /** Get the path prefix of the adjacency list topology chunk for the given
    *  adjacency list type.
    * @param adj_list_type type of adj list structure.
-   * @return path prfix of of the adjacency list topology.
+   * @return path prefix of of the adjacency list topology.
    */
   def getAdjListPathPrefix(adj_list_type: AdjListType.Value) : String = {
     return prefix + getAdjListPrefix(adj_list_type) + "adj_list/"

spark/src/main/scala/com/alibaba/graphar/VertexInfo.scala

@@ -89,7 +89,7 @@ class VertexInfo() {
   /** Get the data type of property.
    *
    * @param property_name name of the property.
-   * @return the data type in gar of the proeprty. If the vertex info does not contains the property,
+   * @return the data type in gar of the property. If the vertex info does not contains the property,
    *         raise IllegalArgumentException error.
    */
   def getPropertyType(property_name: String): GarType.Value = {

spark/src/main/scala/com/alibaba/graphar/reader/EdgeReader.scala

@@ -27,7 +27,7 @@ import org.apache.spark.sql.functions._
 /** Reader for edge chunks.
  *
  * @constructor create a new edge reader with edge info and AdjList type.
- * @param prefix the absolute perfix.
+ * @param prefix the absolute prefix.
  * @param edgeInfo the edge info that describes the edge type.
  * @param adjListType the adj list type for the edge.
  * @param spark spark session for the reader to read chunks as Spark DataFrame.
@@ -205,7 +205,7 @@ class EdgeReader(prefix: String,  edgeInfo: EdgeInfo, adjListType: AdjListType.V
     }
   }
 
-  /** Load the chunks for mutiple property groups of a vertex chunk as a DataFrame.
+  /** Load the chunks for multiple property groups of a vertex chunk as a DataFrame.
    *
    * @param propertyGroups list of property groups.
    * @param vertex_chunk_index index of vertex chunk.

spark/src/test/scala/com/alibaba/graphar/TestReader.scala

@@ -35,8 +35,8 @@ class ReaderSuite extends AnyFunSuite {
     // read vertex chunk files in Parquet
     val parquet_file_path = "gar-test/ldbc_sample/parquet/"
     val parquet_prefix = getClass.getClassLoader.getResource(parquet_file_path).getPath
-    val parqeut_read_path = parquet_prefix + "vertex/person/id"
-    val df1 = spark.read.option("fileFormat", "parquet").format("com.alibaba.graphar.datasources.GarDataSource").load(parqeut_read_path)
+    val parquet_read_path = parquet_prefix + "vertex/person/id"
+    val df1 = spark.read.option("fileFormat", "parquet").format("com.alibaba.graphar.datasources.GarDataSource").load(parquet_read_path)
     // validate reading results
     assert(df1.rdd.getNumPartitions == 10)
     assert(df1.count() == 903)
@@ -160,12 +160,12 @@ class ReaderSuite extends AnyFunSuite {
     // test reading multiple property groups
     var property_groups = new java.util.ArrayList[PropertyGroup]()
     property_groups.add(property_group)
-    val mutiple_property_df_chunk_2 = reader.readMultipleEdgePropertyGroupsForVertexChunk(property_groups, 2, false)
-    assert(mutiple_property_df_chunk_2.columns.size == 1)
-    assert(mutiple_property_df_chunk_2.count() == 1077)
-    val mutiple_property_df = reader.readMultipleEdgePropertyGroups(property_groups, false)
-    assert(mutiple_property_df.columns.size == 1)
-    assert(mutiple_property_df.count() == 6626)
+    val multiple_property_df_chunk_2 = reader.readMultipleEdgePropertyGroupsForVertexChunk(property_groups, 2, false)
+    assert(multiple_property_df_chunk_2.columns.size == 1)
+    assert(multiple_property_df_chunk_2.count() == 1077)
+    val multiple_property_df = reader.readMultipleEdgePropertyGroups(property_groups, false)
+    assert(multiple_property_df.columns.size == 1)
+    assert(multiple_property_df.count() == 6626)
 
     // test reading all property groups
     val all_property_df_chunk_2 = reader.readAllEdgePropertyGroupsForVertexChunk(2, false)

spark/src/test/scala/com/alibaba/graphar/TransformExample.scala

@@ -33,7 +33,7 @@ class TransformExampleSuite extends AnyFunSuite {
     .master("local[*]")
     .getOrCreate()
 
-  test("tranform file type") {
+  test("transform file type") {
     // read from orc files
     val file_path = "gar-test/ldbc_sample/orc/"
     val prefix = getClass.getClassLoader.getResource(file_path).getPath
@@ -63,7 +63,7 @@ class TransformExampleSuite extends AnyFunSuite {
     fs.close()
   }
 
-  test("tranform adjList type") {
+  test("transform adjList type") {
     val file_path = "gar-test/ldbc_sample/parquet/"
     val prefix = getClass.getClassLoader.getResource(file_path).getPath
     // get vertex num