[MINOR] Fix some typo

binder/postBuild

@@ -57,6 +57,6 @@ echo "export SPARK_VERSION=${SPARK_VERSION}" >> ~/.profile
 
 # Suppress warnings from Spark jobs, and UI progress bar.
 mkdir -p ~/.ipython/profile_default/startup
-echo """from pyspark.sql import SparkSession
+echo "from pyspark.sql import SparkSession
 SparkSession.builder.config('spark.ui.showConsoleProgress', 'false').getOrCreate().sparkContext.setLogLevel('FATAL')
-""" > ~/.ipython/profile_default/startup/00-init.py
+" > ~/.ipython/profile_default/startup/00-init.py

common/utils/src/main/resources/error/error-classes.json

@@ -3525,7 +3525,7 @@
       },
       "PYTHON_UDF_IN_ON_CLAUSE" : {
         "message" : [
-          "Python UDF in the ON clause of a <joinType> JOIN. In case of an INNNER JOIN consider rewriting to a CROSS JOIN with a WHERE clause."
+          "Python UDF in the ON clause of a <joinType> JOIN. In case of an INNER JOIN consider rewriting to a CROSS JOIN with a WHERE clause."
         ]
       },
       "REMOVE_NAMESPACE_COMMENT" : {
@@ -5954,7 +5954,7 @@
       "Please move the data from the incorrect directory to the correct one, delete the",
       "incorrect directory, and then restart this query. If you believe you are receiving",
       "this message in error, you can disable it with the SQL conf",
-      "<StreamingCheckpointEscaptedPathCheckEnabled>."
+      "<StreamingCheckpointEscapedPathCheckEnabled>."
     ]
   },
   "_LEGACY_ERROR_TEMP_2201" : {
@@ -6184,7 +6184,7 @@
   },
   "_LEGACY_ERROR_TEMP_2250" : {
     "message" : [
-      "Not enough memory to build and broadcast the table to all worker nodes. As a workaround, you can either disable broadcast by setting <autoBroadcastjoinThreshold> to -1 or increase the spark driver memory by setting <driverMemory> to a higher value<analyzeTblMsg>"
+      "Not enough memory to build and broadcast the table to all worker nodes. As a workaround, you can either disable broadcast by setting <autoBroadcastJoinThreshold> to -1 or increase the spark driver memory by setting <driverMemory> to a higher value<analyzeTblMsg>"
     ]
   },
   "_LEGACY_ERROR_TEMP_2251" : {

connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala

@@ -58,7 +58,7 @@ import org.apache.spark.tags.DockerTest
  *  $ ./buildContainerImage.sh -v 23.2.0 -f
  *  $ export ORACLE_DOCKER_IMAGE_NAME=oracle/database:23.2.0-free
  *
- * This procedure has been validated with Oracle Databae Free version 23.2.0,
+ * This procedure has been validated with Oracle Database Free version 23.2.0,
  * and with Oracle Express Edition versions 18.4.0 and 21.3.0
  */
 @DockerTest

connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleIntegrationSuite.scala

@@ -53,7 +53,7 @@ import org.apache.spark.tags.DockerTest
  *  $ ./buildContainerImage.sh -v 23.2.0 -f
  *  $ export ORACLE_DOCKER_IMAGE_NAME=oracle/database:23.2.0-free
  *
- * This procedure has been validated with Oracle Databae Free version 23.2.0,
+ * This procedure has been validated with Oracle Database Free version 23.2.0,
  * and with Oracle Express Edition versions 18.4.0 and 21.3.0
  */
 @DockerTest

connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/OracleNamespaceSuite.scala

@@ -49,7 +49,7 @@ import org.apache.spark.tags.DockerTest
  *  $ ./buildContainerImage.sh -v 23.2.0 -f
  *  $ export ORACLE_DOCKER_IMAGE_NAME=oracle/database:23.2.0-free
  *
- * This procedure has been validated with Oracle Databae Free version 23.2.0,
+ * This procedure has been validated with Oracle Database Free version 23.2.0,
  * and with Oracle Express Edition versions 18.4.0 and 21.3.0
  */
 @DockerTest

docs/cloud-integration.md

@@ -291,7 +291,7 @@ Amazon EMR has its own S3-aware committers for parquet data.
 For instructions on use, see
 [the EMRFS S3-optimized committer](https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-spark-s3-optimized-committer.html)
 
-For implementation and performanc details, see
+For implementation and performance details, see
 ["Improve Apache Spark write performance on Apache Parquet formats with the EMRFS S3-optimized committer"](https://aws.amazon.com/blogs/big-data/improve-apache-spark-write-performance-on-apache-parquet-formats-with-the-emrfs-s3-optimized-committer/
 
 

docs/sql-error-conditions-unsupported-feature-error-class.md

@@ -151,7 +151,7 @@ Purge table.
 
 ## PYTHON_UDF_IN_ON_CLAUSE
 
-Python UDF in the ON clause of a `<joinType>` JOIN. In case of an INNNER JOIN consider rewriting to a CROSS JOIN with a WHERE clause.
+Python UDF in the ON clause of a `<joinType>` JOIN. In case of an INNER JOIN consider rewriting to a CROSS JOIN with a WHERE clause.
 
 ## REMOVE_NAMESPACE_COMMENT
 

sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala

@@ -1716,7 +1716,7 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionE
       messageParameters = Map(
         "metadataPath" -> metadataPath.toString(),
         "legacyMetadataPath" -> legacyMetadataPath.toString(),
-        "StreamingCheckpointEscaptedPathCheckEnabled" ->
+        "StreamingCheckpointEscapedPathCheckEnabled" ->
           SQLConf.STREAMING_CHECKPOINT_ESCAPED_PATH_CHECK_ENABLED.key),
       cause = null)
   }
@@ -2093,7 +2093,7 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionE
     new SparkException(
       errorClass = "_LEGACY_ERROR_TEMP_2250",
       messageParameters = Map(
-        "autoBroadcastjoinThreshold" -> SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key,
+        "autoBroadcastJoinThreshold" -> SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key,
         "driverMemory" -> SparkLauncher.DRIVER_MEMORY,
         "analyzeTblMsg" -> analyzeTblMsg),
       cause = oe.getCause)