diff options
| -rw-r--r-- | docs/configuration.md | 2 | ||||
| -rw-r--r-- | docs/monitoring.md | 2 | ||||
| -rw-r--r-- | docs/sql-programming-guide.md | 6 |
3 files changed, 5 insertions, 5 deletions
diff --git a/docs/configuration.md b/docs/configuration.md index ea99592408..c021a377ba 100644 --- a/docs/configuration.md +++ b/docs/configuration.md @@ -1951,7 +1951,7 @@ showDF(properties, numRows = 200, truncate = FALSE) <td><code>spark.r.heartBeatInterval</code></td> <td>100</td> <td> - Interval for heartbeats sents from SparkR backend to R process to prevent connection timeout. + Interval for heartbeats sent from SparkR backend to R process to prevent connection timeout. </td> </tr> diff --git a/docs/monitoring.md b/docs/monitoring.md index 5bc5e18c4d..2eef4568d0 100644 --- a/docs/monitoring.md +++ b/docs/monitoring.md @@ -41,7 +41,7 @@ directory must be supplied in the `spark.history.fs.logDirectory` configuration and should contain sub-directories that each represents an application's event logs. The spark jobs themselves must be configured to log events, and to log them to the same shared, -writeable directory. For example, if the server was configured with a log directory of +writable directory. For example, if the server was configured with a log directory of `hdfs://namenode/shared/spark-logs`, then the client-side options would be: ``` diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md index b9be7a7545..ba3e55fc06 100644 --- a/docs/sql-programming-guide.md +++ b/docs/sql-programming-guide.md @@ -222,9 +222,9 @@ The `sql` function enables applications to run SQL queries programmatically and ## Global Temporary View -Temporay views in Spark SQL are session-scoped and will disappear if the session that creates it +Temporary views in Spark SQL are session-scoped and will disappear if the session that creates it terminates. If you want to have a temporary view that is shared among all sessions and keep alive -until the Spark application terminiates, you can create a global temporary view. Global temporary +until the Spark application terminates, you can create a global temporary view. Global temporary view is tied to a system preserved database `global_temp`, and we must use the qualified name to refer it, e.g. `SELECT * FROM global_temp.view1`. @@ -1029,7 +1029,7 @@ following command: bin/spark-shell --driver-class-path postgresql-9.4.1207.jar --jars postgresql-9.4.1207.jar {% endhighlight %} -Tables from the remote database can be loaded as a DataFrame or Spark SQL Temporary table using +Tables from the remote database can be loaded as a DataFrame or Spark SQL temporary view using the Data Sources API. Users can specify the JDBC connection properties in the data source options. <code>user</code> and <code>password</code> are normally provided as connection properties for logging into the data sources. In addition to the connection properties, Spark also supports |