if (ptype == 2 || ptype == 3) { /* Response or Fault */
            alloc_hint = buf.dec_ndr_long();
            buf.dec_ndr_short();        /* context id */
            buf.dec_ndr_short();        /* cancel count */
        }
        if (ptype == 3 || ptype == 13) {               /* Fault */
            result = buf.dec_ndr_long();
        } else {                        /* Bind_ack or Response */
            decode_out(buf);

        }
        esCb.request().build(builder);
        SearchResponse response = esCb.build(builder).execute().actionGet(scrollSearchTimeout);
        String scrollId = response.getScrollId();
        int count = 0;
        try {
            while (scrollId != null) {
                final SearchHits searchHits = getSearchHits(response);
                final SearchHit[] hits = searchHits.getHits();

And multiple processes normally **don't share any memory**. This means that each running process has its own things, variables, and memory. And if you are consuming a large amount of memory in your code, **each process** will consume an equivalent amount of memory.

### Server Memory

         "title": "Operations",
         "type": "row"
      },
      {
         "datasource": {
            "type": "datasource",
            "uid": "-- Mixed --"
         },
         "description": "Count of XDS connection terminations.\nThis will typically spike every 30min for each instance.\n",
         "fieldConfig": {
            "defaults": {
               "custom": {
                  "fillOpacity": 10,

    for (int i = 0; i < reps; i++) {
      // TODO(b/145386688): This access should be guarded by 'this.segment', which is not currently
      // held
      segment.removeEntryFromChain(chain, head);
      dummy += segment.count;
    }
    return dummy;
  }

  optional int32 replicas = 1;

  // selector is a label query over pods that should match the replicas count. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  // +optional
  // +mapType=atomic
  map<string, string> selector = 2;

  // label selector for pods that should match the replicas count. This is a serializated
  // version of both map-based and more expressive set-based selectors. This is done to

                    this.session.release();
                }
            }
        }
        else if ( usage < 0 ) {
            log.error("Usage count dropped below zero " + this);
            dumpResource();
            throw new RuntimeCIFSException("Usage count dropped below zero");
        }
    }


    /**
     * @param stackTrace
     * @return
     */

   * "expected arrival time of the next request" is actually in the past, then the difference (now -
   * past) is the amount of time that the RateLimiter was formally unused, and it is that amount of
   * time which we translate to storedPermits. (We increase storedPermits with the amount of permits
   * that would have been produced in that idle time). So, if rate == 1 permit per second, and

	{"GREATER_THAN_512_MB", humanize.MiByte * 512, math.MaxInt64},
}

// ObjectsVersionCountIntervals is the list of all intervals
// of object version count to be included in objects histogram.
var ObjectsVersionCountIntervals = [dataUsageVersionLen]objectHistogramInterval{
	{"UNVERSIONED", 0, 0},
	{"SINGLE_VERSION", 1, 1},
	{"BETWEEN_2_AND_10", 2, 9},

org.checkerframework.common.basetype
org.checkerframework.common.reflection
org.checkerframework.common.reflection.qual
org.checkerframework.common.subtyping
org.checkerframework.common.util
org.checkerframework.common.util.count
org.checkerframework.common.util.debug
org.checkerframework.common.util.report
org.checkerframework.common.util.report.qual
org.checkerframework.common.value
org.checkerframework.common.value.qual