Polling timeouts made configurable

kafka-ui-api/src/main/java/com/provectus/kafka/ui/config/ClustersProperties.java

@@ -27,6 +27,8 @@ public class ClustersProperties {
 
   String internalTopicPrefix;
 
+  PollingProperties polling = new PollingProperties();
+
   @Data
   public static class Cluster {
     String name;
@@ -49,6 +51,13 @@ public static class Cluster {
     TruststoreConfig ssl;
   }
 
+  @Data
+  public static class PollingProperties {
+    Integer pollTimeoutMs;
+    Integer partitionPollTimeout;
+    Integer noDataEmptyPolls;
+  }
+
   @Data
   @ToString(exclude = "password")
   public static class MetricsConfigData {

kafka-ui-api/src/main/java/com/provectus/kafka/ui/emitter/AbstractEmitter.java

@@ -4,7 +4,6 @@
 import com.provectus.kafka.ui.model.TopicMessageEventDTO;
 import com.provectus.kafka.ui.model.TopicMessagePhaseDTO;
 import com.provectus.kafka.ui.serdes.ConsumerRecordDeserializer;
-import com.provectus.kafka.ui.util.PollingThrottler;
 import java.time.Duration;
 import java.time.Instant;
 import org.apache.kafka.clients.consumer.Consumer;
@@ -14,27 +13,21 @@
 import reactor.core.publisher.FluxSink;
 
 public abstract class AbstractEmitter {
-  private static final Duration DEFAULT_POLL_TIMEOUT_MS = Duration.ofMillis(1000L);
-
-  // In some situations it is hard to say whether records range (between two offsets) was fully polled.
-  // This happens when we have holes in records sequences that is usual case for compact topics or
-  // topics with transactional writes. In such cases if you want to poll all records between offsets X and Y
-  // there is no guarantee that you will ever see record with offset Y.
-  // To workaround this we can assume that after N consecutive empty polls all target messages were read.
-  public static final int NO_MORE_DATA_EMPTY_POLLS_COUNT = 3;
 
   private final ConsumerRecordDeserializer recordDeserializer;
   private final ConsumingStats consumingStats = new ConsumingStats();
   private final PollingThrottler throttler;
+  protected final PollingSettings pollingSettings;
 
-  protected AbstractEmitter(ConsumerRecordDeserializer recordDeserializer, PollingThrottler throttler) {
+  protected AbstractEmitter(ConsumerRecordDeserializer recordDeserializer, PollingSettings pollingSettings) {
     this.recordDeserializer = recordDeserializer;
-    this.throttler = throttler;
+    this.pollingSettings = pollingSettings;
+    this.throttler = pollingSettings.getPollingThrottler();
   }
 
   protected ConsumerRecords<Bytes, Bytes> poll(
       FluxSink<TopicMessageEventDTO> sink, Consumer<Bytes, Bytes> consumer) {
-    return poll(sink, consumer, DEFAULT_POLL_TIMEOUT_MS);
+    return poll(sink, consumer, pollingSettings.getPollTimeout());
   }
 
   protected ConsumerRecords<Bytes, Bytes> poll(

kafka-ui-api/src/main/java/com/provectus/kafka/ui/emitter/BackwardRecordEmitter.java

@@ -3,15 +3,12 @@
 import com.provectus.kafka.ui.model.ConsumerPosition;
 import com.provectus.kafka.ui.model.TopicMessageEventDTO;
 import com.provectus.kafka.ui.serdes.ConsumerRecordDeserializer;
-import com.provectus.kafka.ui.util.PollingThrottler;
-import java.time.Duration;
 import java.util.ArrayList;
 import java.util.Collections;
 import java.util.Comparator;
 import java.util.List;
 import java.util.TreeMap;
 import java.util.function.Supplier;
-import java.util.stream.Collectors;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.kafka.clients.consumer.Consumer;
 import org.apache.kafka.clients.consumer.ConsumerRecord;
@@ -26,8 +23,6 @@ public class BackwardRecordEmitter
     extends AbstractEmitter
     implements java.util.function.Consumer<FluxSink<TopicMessageEventDTO>> {
 
-  private static final Duration POLL_TIMEOUT = Duration.ofMillis(200);
-
   private final Supplier<KafkaConsumer<Bytes, Bytes>> consumerSupplier;
   private final ConsumerPosition consumerPosition;
   private final int messagesPerPage;
@@ -37,8 +32,8 @@ public BackwardRecordEmitter(
       ConsumerPosition consumerPosition,
       int messagesPerPage,
       ConsumerRecordDeserializer recordDeserializer,
-      PollingThrottler throttler) {
-    super(recordDeserializer, throttler);
+      PollingSettings pollingSettings) {
+    super(recordDeserializer, pollingSettings);
     this.consumerPosition = consumerPosition;
     this.messagesPerPage = messagesPerPage;
     this.consumerSupplier = consumerSupplier;
@@ -109,17 +104,18 @@ private List<ConsumerRecord<Bytes, Bytes>> partitionPollIteration(
 
     var recordsToSend = new ArrayList<ConsumerRecord<Bytes, Bytes>>();
 
-    // we use empty polls counting to verify that partition was fully read
-    for (int emptyPolls = 0; recordsToSend.size() < desiredMsgsToPoll && emptyPolls < NO_MORE_DATA_EMPTY_POLLS_COUNT;) {
-      var polledRecords = poll(sink, consumer, POLL_TIMEOUT);
-      log.debug("{} records polled from {}", polledRecords.count(), tp);
+    EmptyPollsCounter emptyPolls  = pollingSettings.createEmptyPollsCounter();
+    while (!sink.isCancelled()
+        && recordsToSend.size() < desiredMsgsToPoll
+        && !emptyPolls.noDataEmptyPollsReached()) {
+      var polledRecords = poll(sink, consumer, pollingSettings.getPartitionPollTimeout());
+      emptyPolls.count(polledRecords);
 
-      // counting sequential empty polls
-      emptyPolls = polledRecords.isEmpty() ? emptyPolls + 1 : 0;
+      log.debug("{} records polled from {}", polledRecords.count(), tp);
 
       var filteredRecords = polledRecords.records(tp).stream()
           .filter(r -> r.offset() < toOffset)
-          .collect(Collectors.toList());
+          .toList();
 
       if (!polledRecords.isEmpty() && filteredRecords.isEmpty()) {
         // we already read all messages in target offsets interval

kafka-ui-api/src/main/java/com/provectus/kafka/ui/emitter/EmptyPollsCounter.java

@@ -0,0 +1,28 @@
+package com.provectus.kafka.ui.emitter;
+
+import org.apache.kafka.clients.consumer.ConsumerRecords;
+
+// In some situations it is hard to say whether records range (between two offsets) was fully polled.
+// This happens when we have holes in records sequences that is usual case for compact topics or
+// topics with transactional writes. In such cases if you want to poll all records between offsets X and Y
+// there is no guarantee that you will ever see record with offset Y.
+// To workaround this we can assume that after N consecutive empty polls all target messages were read.
+public class EmptyPollsCounter {
+
+  private final int maxEmptyPolls;
+
+  private int emptyPolls = 0;
+
+  EmptyPollsCounter(int maxEmptyPolls) {
+    this.maxEmptyPolls = maxEmptyPolls;
+  }
+
+  public void count(ConsumerRecords<?, ?> polled) {
+    emptyPolls = polled.isEmpty() ? emptyPolls + 1 : 0;
+  }
+
+  public boolean noDataEmptyPollsReached() {
+    return emptyPolls >= maxEmptyPolls;
+  }
+
+}

kafka-ui-api/src/main/java/com/provectus/kafka/ui/emitter/ForwardRecordEmitter.java

@@ -3,7 +3,6 @@
 import com.provectus.kafka.ui.model.ConsumerPosition;
 import com.provectus.kafka.ui.model.TopicMessageEventDTO;
 import com.provectus.kafka.ui.serdes.ConsumerRecordDeserializer;
-import com.provectus.kafka.ui.util.PollingThrottler;
 import java.util.function.Supplier;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.kafka.clients.consumer.ConsumerRecord;
@@ -25,8 +24,8 @@ public ForwardRecordEmitter(
       Supplier<KafkaConsumer<Bytes, Bytes>> consumerSupplier,
       ConsumerPosition position,
       ConsumerRecordDeserializer recordDeserializer,
-      PollingThrottler throttler) {
-    super(recordDeserializer, throttler);
+      PollingSettings pollingSettings) {
+    super(recordDeserializer, pollingSettings);
     this.position = position;
     this.consumerSupplier = consumerSupplier;
   }
@@ -39,16 +38,16 @@ public void accept(FluxSink<TopicMessageEventDTO> sink) {
       var seekOperations = SeekOperations.create(consumer, position);
       seekOperations.assignAndSeekNonEmptyPartitions();
 
-      // we use empty polls counting to verify that topic was fully read
-      int emptyPolls = 0;
+      EmptyPollsCounter emptyPolls = pollingSettings.createEmptyPollsCounter();
       while (!sink.isCancelled()
           && !seekOperations.assignedPartitionsFullyPolled()
-          && emptyPolls < NO_MORE_DATA_EMPTY_POLLS_COUNT) {
+          && !emptyPolls.noDataEmptyPollsReached()) {
 
         sendPhase(sink, "Polling");
         ConsumerRecords<Bytes, Bytes> records = poll(sink, consumer);
+        emptyPolls.count(records);
+
         log.debug("{} records polled", records.count());
-        emptyPolls = records.isEmpty() ? emptyPolls + 1 : 0;
 
         for (ConsumerRecord<Bytes, Bytes> msg : records) {
           if (!sink.isCancelled()) {

kafka-ui-api/src/main/java/com/provectus/kafka/ui/emitter/PollingSettings.java

@@ -0,0 +1,79 @@
+package com.provectus.kafka.ui.emitter;
+
+import com.provectus.kafka.ui.config.ClustersProperties;
+import java.time.Duration;
+import java.util.Optional;
+import java.util.function.Supplier;
+
+public class PollingSettings {
+
+  private static final Duration DEFAULT_POLL_TIMEOUT = Duration.ofMillis(1_000);
+  private static final Duration DEFAULT_PARTITION_POLL_TIMEOUT = Duration.ofMillis(200);
+  private static final int DEFAULT_NO_DATA_EMPTY_POLLS = 3;
+
+  private final Duration pollTimeout;
+  private final Duration partitionPollTimeout;
+  private final int notDataEmptyPolls; //see EmptyPollsCounter docs
+
+  private final Supplier<PollingThrottler> throttlerSupplier;
+
+  public static PollingSettings create(ClustersProperties.Cluster cluster,
+                                       ClustersProperties clustersProperties) {
+    var pollingProps = Optional.ofNullable(clustersProperties.getPolling())
+        .orElseGet(ClustersProperties.PollingProperties::new);
+
+    var pollTimeout = pollingProps.getPollTimeoutMs() != null
+        ? Duration.ofMillis(pollingProps.getPollTimeoutMs())
+        : DEFAULT_POLL_TIMEOUT;
+
+    var partitionPollTimeout = pollingProps.getPartitionPollTimeout() != null
+        ? Duration.ofMillis(pollingProps.getPartitionPollTimeout())
+        : Duration.ofMillis(pollTimeout.toMillis() / 5);
+
+    int noDataEmptyPolls = pollingProps.getNoDataEmptyPolls() != null
+        ? pollingProps.getNoDataEmptyPolls()
+        : DEFAULT_NO_DATA_EMPTY_POLLS;
+
+    return new PollingSettings(
+        pollTimeout,
+        partitionPollTimeout,
+        noDataEmptyPolls,
+        PollingThrottler.throttlerSupplier(cluster)
+    );
+  }
+
+  public static PollingSettings createDefault() {
+    return new PollingSettings(
+        DEFAULT_POLL_TIMEOUT,
+        DEFAULT_PARTITION_POLL_TIMEOUT,
+        DEFAULT_NO_DATA_EMPTY_POLLS,
+        PollingThrottler::noop
+    );
+  }
+
+  private PollingSettings(Duration pollTimeout,
+                          Duration partitionPollTimeout,
+                          int notDataEmptyPolls,
+                          Supplier<PollingThrottler> throttlerSupplier) {
+    this.pollTimeout = pollTimeout;
+    this.partitionPollTimeout = partitionPollTimeout;
+    this.notDataEmptyPolls = notDataEmptyPolls;
+    this.throttlerSupplier = throttlerSupplier;
+  }
+
+  public EmptyPollsCounter createEmptyPollsCounter() {
+    return new EmptyPollsCounter(notDataEmptyPolls);
+  }
+
+  public Duration getPollTimeout() {
+    return pollTimeout;
+  }
+
+  public Duration getPartitionPollTimeout() {
+    return partitionPollTimeout;
+  }
+
+  public PollingThrottler getPollingThrottler() {
+    return throttlerSupplier.get();
+  }
+}

kafka-ui-api/src/main/java/com/provectus/kafka/ui/util/PollingThrottler.java → kafka-ui-api/src/main/java/com/provectus/kafka/ui/emitter/PollingThrottler.java

@@ -1,8 +1,9 @@
-package com.provectus.kafka.ui.util;
+package com.provectus.kafka.ui.emitter;
 
 import com.google.common.annotations.VisibleForTesting;
 import com.google.common.util.concurrent.RateLimiter;
 import com.provectus.kafka.ui.config.ClustersProperties;
+import com.provectus.kafka.ui.util.ConsumerRecordsUtil;
 import java.util.function.Supplier;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.kafka.clients.consumer.ConsumerRecords;

kafka-ui-api/src/main/java/com/provectus/kafka/ui/util/ResultSizeLimiter.java → kafka-ui-api/src/main/java/com/provectus/kafka/ui/emitter/ResultSizeLimiter.java

@@ -1,4 +1,4 @@
-package com.provectus.kafka.ui.util;
+package com.provectus.kafka.ui.emitter;
 
 import com.provectus.kafka.ui.model.TopicMessageEventDTO;
 import java.util.concurrent.atomic.AtomicInteger;

kafka-ui-api/src/main/java/com/provectus/kafka/ui/emitter/TailingEmitter.java

@@ -3,7 +3,6 @@
 import com.provectus.kafka.ui.model.ConsumerPosition;
 import com.provectus.kafka.ui.model.TopicMessageEventDTO;
 import com.provectus.kafka.ui.serdes.ConsumerRecordDeserializer;
-import com.provectus.kafka.ui.util.PollingThrottler;
 import java.util.HashMap;
 import java.util.function.Supplier;
 import lombok.extern.slf4j.Slf4j;
@@ -22,8 +21,8 @@ public class TailingEmitter extends AbstractEmitter
   public TailingEmitter(Supplier<KafkaConsumer<Bytes, Bytes>> consumerSupplier,
                         ConsumerPosition consumerPosition,
                         ConsumerRecordDeserializer recordDeserializer,
-                        PollingThrottler throttler) {
-    super(recordDeserializer, throttler);
+                        PollingSettings pollingSettings) {
+    super(recordDeserializer, pollingSettings);
     this.consumerSupplier = consumerSupplier;
     this.consumerPosition = consumerPosition;
   }

kafka-ui-api/src/main/java/com/provectus/kafka/ui/model/KafkaCluster.java

@@ -2,14 +2,13 @@
 
 import com.provectus.kafka.ui.config.ClustersProperties;
 import com.provectus.kafka.ui.connect.api.KafkaConnectClientApi;
+import com.provectus.kafka.ui.emitter.PollingSettings;
 import com.provectus.kafka.ui.service.ksql.KsqlApiClient;
 import com.provectus.kafka.ui.service.masking.DataMasking;
 import com.provectus.kafka.ui.sr.api.KafkaSrClientApi;
-import com.provectus.kafka.ui.util.PollingThrottler;
 import com.provectus.kafka.ui.util.ReactiveFailover;
 import java.util.Map;
 import java.util.Properties;
-import java.util.function.Supplier;
 import lombok.AccessLevel;
 import lombok.AllArgsConstructor;
 import lombok.Builder;
@@ -28,7 +27,7 @@ public class KafkaCluster {
   private final boolean readOnly;
   private final MetricsConfig metricsConfig;
   private final DataMasking masking;
-  private final Supplier<PollingThrottler> throttler;
+  private final PollingSettings pollingSettings;
   private final ReactiveFailover<KafkaSrClientApi> schemaRegistryClient;
   private final Map<String, ReactiveFailover<KafkaConnectClientApi>> connectsClients;
   private final ReactiveFailover<KsqlApiClient> ksqlClient;

kafka-ui-api/src/main/java/com/provectus/kafka/ui/service/ClustersStorage.java

@@ -14,7 +14,7 @@ public class ClustersStorage {
 
   public ClustersStorage(ClustersProperties properties, KafkaClusterFactory factory) {
     var builder = ImmutableMap.<String, KafkaCluster>builder();
-    properties.getClusters().forEach(c -> builder.put(c.getName(), factory.create(c)));
+    properties.getClusters().forEach(c -> builder.put(c.getName(), factory.create(properties, c)));
     this.kafkaClusters = builder.build();
   }
 

kafka-ui-api/src/main/java/com/provectus/kafka/ui/service/KafkaClusterFactory.java

@@ -3,6 +3,7 @@
 import com.provectus.kafka.ui.client.RetryingKafkaConnectClient;
 import com.provectus.kafka.ui.config.ClustersProperties;
 import com.provectus.kafka.ui.connect.api.KafkaConnectClientApi;
+import com.provectus.kafka.ui.emitter.PollingSettings;
 import com.provectus.kafka.ui.model.ApplicationPropertyValidationDTO;
 import com.provectus.kafka.ui.model.ClusterConfigValidationDTO;
 import com.provectus.kafka.ui.model.KafkaCluster;
@@ -12,7 +13,6 @@
 import com.provectus.kafka.ui.sr.ApiClient;
 import com.provectus.kafka.ui.sr.api.KafkaSrClientApi;
 import com.provectus.kafka.ui.util.KafkaServicesValidation;
-import com.provectus.kafka.ui.util.PollingThrottler;
 import com.provectus.kafka.ui.util.ReactiveFailover;
 import com.provectus.kafka.ui.util.WebClientConfigurator;
 import java.util.HashMap;
@@ -41,15 +41,16 @@ public class KafkaClusterFactory {
   @Value("${webclient.max-in-memory-buffer-size:20MB}")
   private DataSize maxBuffSize;
 
-  public KafkaCluster create(ClustersProperties.Cluster clusterProperties) {
+  public KafkaCluster create(ClustersProperties properties,
+                             ClustersProperties.Cluster clusterProperties) {
     KafkaCluster.KafkaClusterBuilder builder = KafkaCluster.builder();
 
     builder.name(clusterProperties.getName());
     builder.bootstrapServers(clusterProperties.getBootstrapServers());
     builder.properties(convertProperties(clusterProperties.getProperties()));
     builder.readOnly(clusterProperties.isReadOnly());
     builder.masking(DataMasking.create(clusterProperties.getMasking()));
-    builder.throttler(PollingThrottler.throttlerSupplier(clusterProperties));
+    builder.pollingSettings(PollingSettings.create(clusterProperties, properties));
 
     if (schemaRegistryConfigured(clusterProperties)) {
       builder.schemaRegistryClient(schemaRegistryClient(clusterProperties));