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Diffstat (limited to 'docs/configuration.md')
| -rw-r--r-- | docs/configuration.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/docs/configuration.md b/docs/configuration.md index d6f316ba5f..5b034e3cb3 100644 --- a/docs/configuration.md +++ b/docs/configuration.md @@ -26,10 +26,10 @@ application name), as well as arbitrary key-value pairs through the `set()` meth initialize an application as follows: {% highlight scala %} -val conf = new SparkConf() - .setMaster("local") - .setAppName("My application") - .set("spark.executor.memory", "1g") +val conf = new SparkConf(). + setMaster("local"). + setAppName("My application"). + set("spark.executor.memory", "1g") val sc = new SparkContext(conf) {% endhighlight %} @@ -318,7 +318,7 @@ Apart from these, the following properties are also available, and may be useful When serializing using org.apache.spark.serializer.JavaSerializer, the serializer caches objects to prevent writing redundant data, however that stops garbage collection of those objects. By calling 'reset' you flush that info from the serializer, and allow old - objects to be collected. To turn off this periodic reset set it to a value of <= 0. + objects to be collected. To turn off this periodic reset set it to a value <= 0. By default it will reset the serializer every 10,000 objects. </td> </tr> |