Update helpJvmUsedMemoryHeuristic.scala.html

linkedin · Jan 8, 2018 · 9f8bdf2 · 9f8bdf2
1 parent b49026b
commit 9f8bdf2
Showing 1 changed file with 2 additions and 12 deletions.
diff --git a/app/views/help/spark/helpJvmUsedMemoryHeuristic.scala.html b/app/views/help/spark/helpJvmUsedMemoryHeuristic.scala.html
@@ -15,16 +15,6 @@
 *@
 <p>This is a heuristic for peak JVM used memory.</p>
 <h4>Executor Max Peak JVM Used Memory</h4>
-<p>This is to analyse whether the executor memory is set to a good value. To avoid wasted memory, it checks if the peak JVM used memory is reasonably close to the allocated executor memory, (spark.executor.memory) -- if it is much smaller, then executor memory should be reduced.</p>
-<p>The thresholds set currently are : <br>
-    Low: spark.executor.memory >= 1.5 * (max peakJvmUsedMemory + 300MB)<br>
-    Moderate: spark.executor.memory >= 2 * (max peakJvmUsedMemory + 300MB)<br>
-    Severe: spark.executor.memory >= 2.5 * (max peakJvmUsedMemory + 300MB)<br>
-    Critical: spark.executor.memory >= 3 * (max peakJvmUsedMemory + 300MB)</p>
+<p>This is to analyse whether the executor memory is set to a good value. To avoid wasted memory, it checks if the peak JVM used memory by the executor is reasonably close to the blocked executor memory which is specified in spark.executor.memory. If the peak JVM memory is much smaller, then the executor memory should be reduced.</p>
 <h4>Driver Max Peak JVM Used Memory</h4>
-<p>Allocated memory for the driver (spark.driver.memory) is examined and it checks if its much more than the peak JVM memory used by the driver</p>
-<p>The thresholds set currently are : <br>
-    Low: spark.driver.memory >= 1.5 * (max peakJvmUsedMemory + 300MB)<br>
-    Moderate: spark.driver.memory >= 2 * (max peakJvmUsedMemory + 300MB)<br>
-    Severe: spark.driver.memory >= 2.5 * (max peakJvmUsedMemory + 300MB)<br>
-    Critical: spark.driver.memory >= 3 * (max peakJvmUsedMemory + 300MB)</p>
+<p>This is to analyse whether the driver memory is set to a good value. To avoid wasted memory, it checks if the peak JVM used memory by the driver is reasonably close to the blocked driver memory which is specified in spark.driver.memory. If the peak JVM memory is much smaller, then the driver memory should be reduced.</p>