Examples with ManagedLedgerMXBean org.apache.bookkeeper.mledger.ManagedLedgerMXBean used on opensource projects

Example 1 with ManagedLedgerMXBean

use of org.apache.bookkeeper.mledger.ManagedLedgerMXBean in project pulsar by yahoo.

the class ManagedLedgerMetrics method aggregate.

/**
     * Aggregation by namespace (not thread-safe)
     * 
     * @param ledgersByDimension
     * @return
     */
private List<Metrics> aggregate(Map<Metrics, List<ManagedLedgerImpl>> ledgersByDimension) {
    metricsCollection.clear();
    for (Entry<Metrics, List<ManagedLedgerImpl>> e : ledgersByDimension.entrySet()) {
        Metrics metrics = e.getKey();
        List<ManagedLedgerImpl> ledgers = e.getValue();
        // prepare aggregation map
        tempAggregatedMetricsMap.clear();
        for (ManagedLedgerImpl ledger : ledgers) {
            ManagedLedgerMXBean lStats = ledger.getStats();
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_AddEntryBytesRate", lStats.getAddEntryBytesRate());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_AddEntryErrors", (double) lStats.getAddEntryErrors());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_AddEntryMessagesRate", lStats.getAddEntryMessagesRate());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_AddEntrySucceed", (double) lStats.getAddEntrySucceed());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_NumberOfMessagesInBacklog", (double) lStats.getNumberOfMessagesInBacklog());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_ReadEntriesBytesRate", lStats.getReadEntriesBytesRate());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_ReadEntriesErrors", (double) lStats.getReadEntriesErrors());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_ReadEntriesRate", lStats.getReadEntriesRate());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_ReadEntriesSucceeded", (double) lStats.getReadEntriesSucceeded());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_StoredMessagesSize", (double) lStats.getStoredMessagesSize());
            // handle bucket entries initialization here
            populateBucketEntries(tempAggregatedMetricsMap, "brk_ml_AddEntryLatencyBuckets", ENTRY_LATENCY_BUCKETS_MS, lStats.getAddEntryLatencyBuckets());
            populateBucketEntries(tempAggregatedMetricsMap, "brk_ml_LedgerSwitchLatencyBuckets", ENTRY_LATENCY_BUCKETS_MS, lStats.getLedgerSwitchLatencyBuckets());
            populateBucketEntries(tempAggregatedMetricsMap, "brk_ml_EntrySizeBuckets", ENTRY_SIZE_BUCKETS_BYTES, lStats.getEntrySizeBuckets());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_MarkDeleteRate", lStats.getMarkDeleteRate());
        }
        for (Entry<String, Double> ma : tempAggregatedMetricsMap.entrySet()) {
            metrics.put(ma.getKey(), ma.getValue());
        }
        metricsCollection.add(metrics);
    }
    return metricsCollection;
}

Example 2 with ManagedLedgerMXBean

use of org.apache.bookkeeper.mledger.ManagedLedgerMXBean in project incubator-pulsar by apache.

the class ManagedLedgerMetrics method aggregate.

/**
 * Aggregation by namespace (not thread-safe)
 *
 * @param ledgersByDimension
 * @return
 */
private List<Metrics> aggregate(Map<Metrics, List<ManagedLedgerImpl>> ledgersByDimension) {
    metricsCollection.clear();
    for (Entry<Metrics, List<ManagedLedgerImpl>> e : ledgersByDimension.entrySet()) {
        Metrics metrics = e.getKey();
        List<ManagedLedgerImpl> ledgers = e.getValue();
        // prepare aggregation map
        tempAggregatedMetricsMap.clear();
        for (ManagedLedgerImpl ledger : ledgers) {
            ManagedLedgerMXBean lStats = ledger.getStats();
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_AddEntryBytesRate", lStats.getAddEntryBytesRate());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_AddEntryErrors", (double) lStats.getAddEntryErrors());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_AddEntryMessagesRate", lStats.getAddEntryMessagesRate());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_AddEntrySucceed", (double) lStats.getAddEntrySucceed());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_NumberOfMessagesInBacklog", (double) lStats.getNumberOfMessagesInBacklog());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_ReadEntriesBytesRate", lStats.getReadEntriesBytesRate());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_ReadEntriesErrors", (double) lStats.getReadEntriesErrors());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_ReadEntriesRate", lStats.getReadEntriesRate());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_ReadEntriesSucceeded", (double) lStats.getReadEntriesSucceeded());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_StoredMessagesSize", (double) lStats.getStoredMessagesSize());
            // handle bucket entries initialization here
            populateBucketEntries(tempAggregatedMetricsMap, "brk_ml_AddEntryLatencyBuckets", ENTRY_LATENCY_BUCKETS_MS, lStats.getAddEntryLatencyBuckets());
            populateBucketEntries(tempAggregatedMetricsMap, "brk_ml_LedgerSwitchLatencyBuckets", ENTRY_LATENCY_BUCKETS_MS, lStats.getLedgerSwitchLatencyBuckets());
            populateBucketEntries(tempAggregatedMetricsMap, "brk_ml_EntrySizeBuckets", ENTRY_SIZE_BUCKETS_BYTES, lStats.getEntrySizeBuckets());
            populateAggregationMapWithSum(tempAggregatedMetricsMap, "brk_ml_MarkDeleteRate", lStats.getMarkDeleteRate());
        }
        for (Entry<String, Double> ma : tempAggregatedMetricsMap.entrySet()) {
            metrics.put(ma.getKey(), ma.getValue());
        }
        metricsCollection.add(metrics);
    }
    return metricsCollection;
}