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-rw-r--r--docs/sql-programming-guide.md2
-rw-r--r--examples/src/main/python/sql/basic.py3
2 files changed, 1 insertions, 4 deletions
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md
index 235f5ecc40..2dd1ab6ef3 100644
--- a/docs/sql-programming-guide.md
+++ b/docs/sql-programming-guide.md
@@ -1410,7 +1410,7 @@ Thrift JDBC server also supports sending thrift RPC messages over HTTP transport
Use the following setting to enable HTTP mode as system property or in `hive-site.xml` file in `conf/`:
hive.server2.transport.mode - Set this to value: http
- hive.server2.thrift.http.port - HTTP port number fo listen on; default is 10001
+ hive.server2.thrift.http.port - HTTP port number to listen on; default is 10001
hive.server2.http.endpoint - HTTP endpoint; default is cliservice
To test, use beeline to connect to the JDBC/ODBC server in http mode with:
diff --git a/examples/src/main/python/sql/basic.py b/examples/src/main/python/sql/basic.py
index ebcf66995b..c07fa8f275 100644
--- a/examples/src/main/python/sql/basic.py
+++ b/examples/src/main/python/sql/basic.py
@@ -187,9 +187,6 @@ def programmatic_schema_example(spark):
# Creates a temporary view using the DataFrame
schemaPeople.createOrReplaceTempView("people")
- # Creates a temporary view using the DataFrame
- schemaPeople.createOrReplaceTempView("people")
-
# SQL can be run over DataFrames that have been registered as a table.
results = spark.sql("SELECT name FROM people")