[SQL][DOCS][MINOR] Fix typos and wrong phrases in docs

docs/sql-pyspark-pandas-with-arrow.md

@@ -91,7 +91,7 @@ specify the type hints of `pandas.Series` and `pandas.DataFrame` as below:
 </div>
 </p>
 
-In the following sections, it describes the cominations of the supported type hints. For simplicity,
+In the following sections, it describes the combinations of the supported type hints. For simplicity,
 `pandas.DataFrame` variant is omitted.
 
 ### Series to Series

docs/sql-ref-ansi-compliance.md

@@ -60,7 +60,7 @@ The following subsections present behaviour changes in arithmetic operations, ty
 ### Arithmetic Operations
 
 In Spark SQL, arithmetic operations performed on numeric types (with the exception of decimal) are not checked for overflows by default.
-This means that in case an operation causes overflows, the result is the same that the same operation returns in a Java/Scala program (e.g., if the sum of 2 integers is higher than the maximum value representable, the result is a negative number).
+This means that in case an operation causes overflows, the result is the same with the corresponding operation in a Java/Scala program (e.g., if the sum of 2 integers is higher than the maximum value representable, the result is a negative number).
 On the other hand, Spark SQL returns null for decimal overflows.
 When `spark.sql.ansi.enabled` is set to `true` and an overflow occurs in numeric and interval arithmetic operations, it throws an arithmetic exception at runtime.
 

docs/sql-ref-null-semantics.md

@@ -605,7 +605,7 @@ SELECT name, age FROM unknown_age;
 In Spark, EXISTS and NOT EXISTS expressions are allowed inside a WHERE clause. 
 These are boolean expressions which return either `TRUE` or
 `FALSE`. In other words, EXISTS is a membership condition and returns `TRUE`
-when the subquery it refers to returns one or more rows. Similary, NOT EXISTS
+when the subquery it refers to returns one or more rows. Similarly, NOT EXISTS
 is a non-membership condition and returns TRUE when no rows or zero rows are
 returned from the subquery.
 

docs/sql-ref-syntax-aux-show-functions.md

@@ -22,7 +22,7 @@ license: |
 ### Description
 Returns the list of functions after applying an optional regex pattern.
 Given number of functions supported by Spark is quite large, this statement
-in conjuction with [describe function](sql-ref-syntax-aux-describe-function.html)
+in conjunction with [describe function](sql-ref-syntax-aux-describe-function.html)
 may be used to quickly find the function and understand its usage. The `LIKE` 
 clause is optional and supported only for compatibility with other systems.
 

docs/sql-ref-syntax-ddl-alter-table.md

@@ -260,7 +260,7 @@ ALTER TABLE dbx.tab1 PARTITION (a='1', b='2') SET LOCATION '/path/to/part/ways'
 -- SET SERDE/ SERDE Properties
 ALTER TABLE test_tab SET SERDE 'org.apache.hadoop.hive.serde2.columnar.LazyBinaryColumnarSerDe';
 
-ALTER TABLE dbx.tab1 SET SERDE 'org.apache.madoop' WITH SERDEPROPERTIES ('k' = 'v', 'kay' = 'vee')
+ALTER TABLE dbx.tab1 SET SERDE 'org.apache.hadoop' WITH SERDEPROPERTIES ('k' = 'v', 'kay' = 'vee')
 
 --SET TABLE PROPERTIES
 ALTER TABLE dbx.tab1 SET TBLPROPERTIES ('winner' = 'loser')

docs/sql-ref-syntax-ddl-create-table-like.md

@@ -74,7 +74,7 @@ USING data_source
 ### Examples
 {% highlight sql %}
 
---Create table using an exsisting table
+--Create table using an existing table
 CREATE TABLE Student_Dupli like Student;
 
 --Create table like using a data source

docs/sql-ref-syntax-qry-select-limit.md

@@ -20,7 +20,7 @@ license: |
 ---
 The <code>LIMIT</code> clause is used to constrain the number of rows returned by
 the [SELECT](sql-ref-syntax-qry-select.html) statement. In general, this clause
-is used in conjuction with [ORDER BY](sql-ref-syntax-qry-select-orderby.html) to
+is used in conjunction with [ORDER BY](sql-ref-syntax-qry-select-orderby.html) to
 ensure that the results are deterministic.
 
 ### Syntax