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takezoeChris Wewerka
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Update Scaladoc
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data/src/main/scala/org/apache/predictionio/data/store/LEventStore.scala

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@@ -223,19 +223,6 @@ object LEventStore {
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/** Reads events generically. If entityType or entityId is not specified, it
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* results in table scan.
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*
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* Note that this method uses `scala.concurrent.ExecutionContext.Implicits.global`
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* internally. Since this is a thread pool which has a number of threads equal to
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* available processors, parallelism is limited up to the number of processors.
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*
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* If this limitation become bottleneck of resource usage, you can increase the
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* number of threads by declaring following VM options before calling "pio deploy":
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*
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* <pre>
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* export JAVA_OPTS="$JAVA_OPTS \
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* -Dscala.concurrent.context.numThreads=1000 \
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* -Dscala.concurrent.context.maxThreads=1000"
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* </pre>
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*
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* @param appName return events of this app
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* @param entityType return events of this entityType
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* - None means no restriction on entityType

data/src/main/scala/org/apache/predictionio/data/store/java/LJavaEventStore.scala

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@@ -177,19 +177,6 @@ object LJavaEventStore {
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/** Reads events generically. If entityType or entityId is not specified, it
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* results in table scan.
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*
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* Note that this method uses `scala.concurrent.ExecutionContext.Implicits.global`
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* internally. Since this is a thread pool which has a number of threads equal to
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* available processors, parallelism is limited up to the number of processors.
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*
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* If this limitation become bottleneck of resource usage, you can increase the
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* number of threads by declaring following VM options before calling "pio deploy":
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*
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* <pre>
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* export JAVA_OPTS="$JAVA_OPTS \
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* -Dscala.concurrent.context.numThreads=1000 \
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* -Dscala.concurrent.context.maxThreads=1000"
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* </pre>
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*
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* @param appName return events of this app
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* @param entityType return events of this entityType
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* - None means no restriction on entityType

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