Merge branch 'master' into ISSUE_754_acl
This commit is contained in:
commit
2d90897aeb
21 changed files with 462 additions and 60 deletions
|
@ -58,6 +58,8 @@ public class ClustersProperties {
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Integer pollTimeoutMs;
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Integer partitionPollTimeout;
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Integer noDataEmptyPolls;
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Integer maxPageSize;
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Integer defaultPageSize;
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}
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@Data
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@ -43,9 +43,6 @@ import reactor.core.scheduler.Schedulers;
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@Slf4j
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public class MessagesController extends AbstractController implements MessagesApi {
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private static final int MAX_LOAD_RECORD_LIMIT = 100;
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private static final int DEFAULT_LOAD_RECORD_LIMIT = 20;
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private final MessagesService messagesService;
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private final DeserializationService deserializationService;
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private final AccessControlService accessControlService;
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@ -91,8 +88,6 @@ public class MessagesController extends AbstractController implements MessagesAp
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seekType = seekType != null ? seekType : SeekTypeDTO.BEGINNING;
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seekDirection = seekDirection != null ? seekDirection : SeekDirectionDTO.FORWARD;
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filterQueryType = filterQueryType != null ? filterQueryType : MessageFilterTypeDTO.STRING_CONTAINS;
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int recordsLimit =
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Optional.ofNullable(limit).map(s -> Math.min(s, MAX_LOAD_RECORD_LIMIT)).orElse(DEFAULT_LOAD_RECORD_LIMIT);
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var positions = new ConsumerPosition(
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seekType,
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@ -103,7 +98,7 @@ public class MessagesController extends AbstractController implements MessagesAp
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ResponseEntity.ok(
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messagesService.loadMessages(
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getCluster(clusterName), topicName, positions, q, filterQueryType,
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recordsLimit, seekDirection, keySerde, valueSerde)
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limit, seekDirection, keySerde, valueSerde)
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)
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);
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@ -1,6 +1,7 @@
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package com.provectus.kafka.ui.model;
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import java.math.BigDecimal;
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import javax.annotation.Nullable;
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import lombok.Data;
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import org.apache.kafka.common.Node;
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@ -10,15 +11,27 @@ public class InternalBroker {
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private final Integer id;
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private final String host;
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private final Integer port;
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private final BigDecimal bytesInPerSec;
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private final BigDecimal bytesOutPerSec;
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private final @Nullable BigDecimal bytesInPerSec;
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private final @Nullable BigDecimal bytesOutPerSec;
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private final @Nullable Integer partitionsLeader;
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private final @Nullable Integer partitions;
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private final @Nullable Integer inSyncPartitions;
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private final @Nullable BigDecimal leadersSkew;
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private final @Nullable BigDecimal partitionsSkew;
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public InternalBroker(Node node, Statistics statistics) {
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public InternalBroker(Node node,
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PartitionDistributionStats partitionDistribution,
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Statistics statistics) {
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this.id = node.id();
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this.host = node.host();
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this.port = node.port();
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this.bytesInPerSec = statistics.getMetrics().getBrokerBytesInPerSec().get(node.id());
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this.bytesOutPerSec = statistics.getMetrics().getBrokerBytesOutPerSec().get(node.id());
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this.partitionsLeader = partitionDistribution.getPartitionLeaders().get(node);
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this.partitions = partitionDistribution.getPartitionsCount().get(node);
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this.inSyncPartitions = partitionDistribution.getInSyncPartitions().get(node);
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this.leadersSkew = partitionDistribution.leadersSkew(node);
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this.partitionsSkew = partitionDistribution.partitionsSkew(node);
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}
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}
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@ -0,0 +1,93 @@
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package com.provectus.kafka.ui.model;
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import java.math.BigDecimal;
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import java.math.MathContext;
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import java.util.HashMap;
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import java.util.Map;
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import javax.annotation.Nullable;
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import lombok.AccessLevel;
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import lombok.Getter;
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import lombok.RequiredArgsConstructor;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.kafka.clients.admin.TopicDescription;
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import org.apache.kafka.common.Node;
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import org.apache.kafka.common.TopicPartitionInfo;
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@RequiredArgsConstructor(access = AccessLevel.PRIVATE)
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@Getter
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@Slf4j
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public class PartitionDistributionStats {
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// avg skew will show unuseful results on low number of partitions
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private static final int MIN_PARTITIONS_FOR_SKEW_CALCULATION = 50;
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private static final MathContext ROUNDING_MATH_CTX = new MathContext(3);
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private final Map<Node, Integer> partitionLeaders;
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private final Map<Node, Integer> partitionsCount;
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private final Map<Node, Integer> inSyncPartitions;
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private final double avgLeadersCntPerBroker;
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private final double avgPartitionsPerBroker;
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private final boolean skewCanBeCalculated;
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public static PartitionDistributionStats create(Statistics stats) {
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return create(stats, MIN_PARTITIONS_FOR_SKEW_CALCULATION);
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}
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static PartitionDistributionStats create(Statistics stats, int minPartitionsForSkewCalculation) {
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var partitionLeaders = new HashMap<Node, Integer>();
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var partitionsReplicated = new HashMap<Node, Integer>();
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var isr = new HashMap<Node, Integer>();
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int partitionsCnt = 0;
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for (TopicDescription td : stats.getTopicDescriptions().values()) {
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for (TopicPartitionInfo tp : td.partitions()) {
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partitionsCnt++;
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tp.replicas().forEach(r -> incr(partitionsReplicated, r));
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tp.isr().forEach(r -> incr(isr, r));
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if (tp.leader() != null) {
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incr(partitionLeaders, tp.leader());
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}
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}
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}
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int nodesWithPartitions = partitionsReplicated.size();
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int partitionReplications = partitionsReplicated.values().stream().mapToInt(i -> i).sum();
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var avgPartitionsPerBroker = nodesWithPartitions == 0 ? 0 : ((double) partitionReplications) / nodesWithPartitions;
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int nodesWithLeaders = partitionLeaders.size();
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int leadersCnt = partitionLeaders.values().stream().mapToInt(i -> i).sum();
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var avgLeadersCntPerBroker = nodesWithLeaders == 0 ? 0 : ((double) leadersCnt) / nodesWithLeaders;
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return new PartitionDistributionStats(
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partitionLeaders,
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partitionsReplicated,
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isr,
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avgLeadersCntPerBroker,
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avgPartitionsPerBroker,
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partitionsCnt >= minPartitionsForSkewCalculation
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);
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}
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private static void incr(Map<Node, Integer> map, Node n) {
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map.compute(n, (k, c) -> c == null ? 1 : ++c);
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}
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@Nullable
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public BigDecimal partitionsSkew(Node node) {
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return calculateAvgSkew(partitionsCount.get(node), avgPartitionsPerBroker);
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}
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@Nullable
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public BigDecimal leadersSkew(Node node) {
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return calculateAvgSkew(partitionLeaders.get(node), avgLeadersCntPerBroker);
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}
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// Returns difference (in percents) from average value, null if it can't be calculated
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@Nullable
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private BigDecimal calculateAvgSkew(@Nullable Integer value, double avgValue) {
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if (avgValue == 0 || !skewCanBeCalculated) {
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return null;
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}
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value = value == null ? 0 : value;
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return new BigDecimal((value - avgValue) / avgValue * 100.0).round(ROUNDING_MATH_CTX);
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}
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}
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@ -10,6 +10,7 @@ import com.provectus.kafka.ui.model.BrokersLogdirsDTO;
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import com.provectus.kafka.ui.model.InternalBroker;
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import com.provectus.kafka.ui.model.InternalBrokerConfig;
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import com.provectus.kafka.ui.model.KafkaCluster;
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import com.provectus.kafka.ui.model.PartitionDistributionStats;
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import com.provectus.kafka.ui.service.metrics.RawMetric;
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import java.util.Collections;
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import java.util.HashMap;
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@ -64,11 +65,13 @@ public class BrokerService {
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}
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public Flux<InternalBroker> getBrokers(KafkaCluster cluster) {
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var stats = statisticsCache.get(cluster);
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var partitionsDistribution = PartitionDistributionStats.create(stats);
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return adminClientService
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.get(cluster)
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.flatMap(ReactiveAdminClient::describeCluster)
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.map(description -> description.getNodes().stream()
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.map(node -> new InternalBroker(node, statisticsCache.get(cluster)))
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.map(node -> new InternalBroker(node, partitionsDistribution, stats))
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.collect(Collectors.toList()))
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.flatMapMany(Flux::fromIterable);
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}
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@ -1,6 +1,7 @@
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package com.provectus.kafka.ui.service;
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import com.google.common.util.concurrent.RateLimiter;
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import com.provectus.kafka.ui.config.ClustersProperties;
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import com.provectus.kafka.ui.emitter.BackwardRecordEmitter;
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import com.provectus.kafka.ui.emitter.ForwardRecordEmitter;
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import com.provectus.kafka.ui.emitter.MessageFilters;
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@ -20,13 +21,13 @@ import com.provectus.kafka.ui.serdes.ProducerRecordCreator;
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import com.provectus.kafka.ui.util.SslPropertiesUtil;
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import java.util.List;
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import java.util.Map;
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import java.util.Optional;
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import java.util.Properties;
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import java.util.concurrent.CompletableFuture;
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import java.util.function.Predicate;
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import java.util.function.UnaryOperator;
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import java.util.stream.Collectors;
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import javax.annotation.Nullable;
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import lombok.RequiredArgsConstructor;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.lang3.StringUtils;
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import org.apache.kafka.clients.admin.OffsetSpec;
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@ -44,16 +45,35 @@ import reactor.core.publisher.Mono;
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import reactor.core.scheduler.Schedulers;
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@Service
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@RequiredArgsConstructor
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@Slf4j
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public class MessagesService {
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private static final int DEFAULT_MAX_PAGE_SIZE = 500;
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private static final int DEFAULT_PAGE_SIZE = 100;
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// limiting UI messages rate to 20/sec in tailing mode
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public static final int TAILING_UI_MESSAGE_THROTTLE_RATE = 20;
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private static final int TAILING_UI_MESSAGE_THROTTLE_RATE = 20;
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private final AdminClientService adminClientService;
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private final DeserializationService deserializationService;
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private final ConsumerGroupService consumerGroupService;
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private final int maxPageSize;
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private final int defaultPageSize;
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public MessagesService(AdminClientService adminClientService,
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DeserializationService deserializationService,
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ConsumerGroupService consumerGroupService,
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ClustersProperties properties) {
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this.adminClientService = adminClientService;
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this.deserializationService = deserializationService;
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this.consumerGroupService = consumerGroupService;
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var pollingProps = Optional.ofNullable(properties.getPolling())
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.orElseGet(ClustersProperties.PollingProperties::new);
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this.maxPageSize = Optional.ofNullable(pollingProps.getMaxPageSize())
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.orElse(DEFAULT_MAX_PAGE_SIZE);
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this.defaultPageSize = Optional.ofNullable(pollingProps.getDefaultPageSize())
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.orElse(DEFAULT_PAGE_SIZE);
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}
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private Mono<TopicDescription> withExistingTopic(KafkaCluster cluster, String topicName) {
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return adminClientService.get(cluster)
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@ -139,7 +159,7 @@ public class MessagesService {
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ConsumerPosition consumerPosition,
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@Nullable String query,
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MessageFilterTypeDTO filterQueryType,
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int limit,
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@Nullable Integer pageSize,
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SeekDirectionDTO seekDirection,
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@Nullable String keySerde,
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@Nullable String valueSerde) {
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@ -147,7 +167,13 @@ public class MessagesService {
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.flux()
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.publishOn(Schedulers.boundedElastic())
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.flatMap(td -> loadMessagesImpl(cluster, topic, consumerPosition, query,
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filterQueryType, limit, seekDirection, keySerde, valueSerde));
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filterQueryType, fixPageSize(pageSize), seekDirection, keySerde, valueSerde));
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}
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private int fixPageSize(@Nullable Integer pageSize) {
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return Optional.ofNullable(pageSize)
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.filter(ps -> ps > 0 && ps <= maxPageSize)
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.orElse(defaultPageSize);
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}
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private Flux<TopicMessageEventDTO> loadMessagesImpl(KafkaCluster cluster,
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|
|
|
@ -0,0 +1,83 @@
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package com.provectus.kafka.ui.model;
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import static org.assertj.core.api.Assertions.assertThat;
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import com.provectus.kafka.ui.service.ReactiveAdminClient;
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import java.math.BigDecimal;
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import java.util.List;
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import java.util.Map;
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import java.util.Set;
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import org.apache.kafka.clients.admin.TopicDescription;
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import org.apache.kafka.common.Node;
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import org.apache.kafka.common.TopicPartitionInfo;
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import org.assertj.core.data.Percentage;
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import org.junit.jupiter.api.Test;
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class PartitionDistributionStatsTest {
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@Test
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void skewCalculatedBasedOnPartitionsCounts() {
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Node n1 = new Node(1, "n1", 9092);
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Node n2 = new Node(2, "n2", 9092);
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Node n3 = new Node(3, "n3", 9092);
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Node n4 = new Node(4, "n4", 9092);
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var stats = PartitionDistributionStats.create(
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Statistics.builder()
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.clusterDescription(
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new ReactiveAdminClient.ClusterDescription(null, "test", Set.of(n1, n2, n3), null))
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.topicDescriptions(
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Map.of(
|
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"t1", new TopicDescription(
|
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"t1", false,
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List.of(
|
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new TopicPartitionInfo(0, n1, List.of(n1, n2), List.of(n1, n2)),
|
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new TopicPartitionInfo(1, n2, List.of(n2, n3), List.of(n2, n3))
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)
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),
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"t2", new TopicDescription(
|
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"t2", false,
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List.of(
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new TopicPartitionInfo(0, n1, List.of(n1, n2), List.of(n1, n2)),
|
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new TopicPartitionInfo(1, null, List.of(n2, n1), List.of(n1))
|
||||
)
|
||||
)
|
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)
|
||||
)
|
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.build(), 4
|
||||
);
|
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|
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assertThat(stats.getPartitionLeaders())
|
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.containsExactlyInAnyOrderEntriesOf(Map.of(n1, 2, n2, 1));
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assertThat(stats.getPartitionsCount())
|
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.containsExactlyInAnyOrderEntriesOf(Map.of(n1, 3, n2, 4, n3, 1));
|
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assertThat(stats.getInSyncPartitions())
|
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.containsExactlyInAnyOrderEntriesOf(Map.of(n1, 3, n2, 3, n3, 1));
|
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|
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// Node(partitions): n1(3), n2(4), n3(1), n4(0)
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// average partitions cnt = (3+4+1) / 3 = 2.666 (counting only nodes with partitions!)
|
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assertThat(stats.getAvgPartitionsPerBroker())
|
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.isCloseTo(2.666, Percentage.withPercentage(1));
|
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|
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assertThat(stats.partitionsSkew(n1))
|
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.isCloseTo(BigDecimal.valueOf(12.5), Percentage.withPercentage(1));
|
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assertThat(stats.partitionsSkew(n2))
|
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.isCloseTo(BigDecimal.valueOf(50), Percentage.withPercentage(1));
|
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assertThat(stats.partitionsSkew(n3))
|
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.isCloseTo(BigDecimal.valueOf(-62.5), Percentage.withPercentage(1));
|
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assertThat(stats.partitionsSkew(n4))
|
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.isCloseTo(BigDecimal.valueOf(-100), Percentage.withPercentage(1));
|
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|
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// Node(leaders): n1(2), n2(1), n3(0), n4(0)
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// average leaders cnt = (2+1) / 2 = 1.5 (counting only nodes with leaders!)
|
||||
assertThat(stats.leadersSkew(n1))
|
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.isCloseTo(BigDecimal.valueOf(33.33), Percentage.withPercentage(1));
|
||||
assertThat(stats.leadersSkew(n2))
|
||||
.isCloseTo(BigDecimal.valueOf(-33.33), Percentage.withPercentage(1));
|
||||
assertThat(stats.leadersSkew(n3))
|
||||
.isCloseTo(BigDecimal.valueOf(-100), Percentage.withPercentage(1));
|
||||
assertThat(stats.leadersSkew(n4))
|
||||
.isCloseTo(BigDecimal.valueOf(-100), Percentage.withPercentage(1));
|
||||
}
|
||||
|
||||
}
|
|
@ -2496,6 +2496,16 @@ components:
|
|||
type: number
|
||||
bytesOutPerSec:
|
||||
type: number
|
||||
partitionsLeader:
|
||||
type: integer
|
||||
partitions:
|
||||
type: integer
|
||||
inSyncPartitions:
|
||||
type: integer
|
||||
partitionsSkew:
|
||||
type: number
|
||||
leadersSkew:
|
||||
type: number
|
||||
required:
|
||||
- id
|
||||
|
||||
|
@ -3663,6 +3673,10 @@ components:
|
|||
type: integer
|
||||
noDataEmptyPolls:
|
||||
type: integer
|
||||
maxPageSize:
|
||||
type: integer
|
||||
defaultPageSize:
|
||||
type: integer
|
||||
adminClientTimeout:
|
||||
type: integer
|
||||
internalTopicPrefix:
|
||||
|
|
|
@ -36,29 +36,31 @@ import org.springframework.web.reactive.function.client.WebClientResponseExcepti
|
|||
@Slf4j
|
||||
public class ApiService extends BaseSource {
|
||||
|
||||
private final ApiClient apiClient = new ApiClient().setBasePath(BASE_API_URL);
|
||||
|
||||
@SneakyThrows
|
||||
private TopicsApi topicApi() {
|
||||
return new TopicsApi(new ApiClient().setBasePath(BASE_API_URL));
|
||||
return new TopicsApi(apiClient);
|
||||
}
|
||||
|
||||
@SneakyThrows
|
||||
private SchemasApi schemaApi() {
|
||||
return new SchemasApi(new ApiClient().setBasePath(BASE_API_URL));
|
||||
return new SchemasApi(apiClient);
|
||||
}
|
||||
|
||||
@SneakyThrows
|
||||
private KafkaConnectApi connectorApi() {
|
||||
return new KafkaConnectApi(new ApiClient().setBasePath(BASE_API_URL));
|
||||
return new KafkaConnectApi(apiClient);
|
||||
}
|
||||
|
||||
@SneakyThrows
|
||||
private MessagesApi messageApi() {
|
||||
return new MessagesApi(new ApiClient().setBasePath(BASE_API_URL));
|
||||
return new MessagesApi(apiClient);
|
||||
}
|
||||
|
||||
@SneakyThrows
|
||||
private KsqlApi ksqlApi() {
|
||||
return new KsqlApi(new ApiClient().setBasePath(BASE_API_URL));
|
||||
return new KsqlApi(apiClient);
|
||||
}
|
||||
|
||||
@SneakyThrows
|
||||
|
|
|
@ -2,6 +2,7 @@ package com.provectus.kafka.ui.manualsuite.backlog;
|
|||
|
||||
import static com.provectus.kafka.ui.qasesuite.BaseQaseTest.BROKERS_SUITE_ID;
|
||||
import static com.provectus.kafka.ui.qasesuite.BaseQaseTest.KSQL_DB_SUITE_ID;
|
||||
import static com.provectus.kafka.ui.qasesuite.BaseQaseTest.SCHEMAS_SUITE_ID;
|
||||
import static com.provectus.kafka.ui.qasesuite.BaseQaseTest.TOPICS_PROFILE_SUITE_ID;
|
||||
import static com.provectus.kafka.ui.utilities.qase.enums.State.TO_BE_AUTOMATED;
|
||||
|
||||
|
@ -35,37 +36,65 @@ public class SmokeBacklog extends BaseManualTest {
|
|||
}
|
||||
|
||||
@Automation(state = TO_BE_AUTOMATED)
|
||||
@Suite(id = KSQL_DB_SUITE_ID)
|
||||
@QaseId(284)
|
||||
@Suite(id = BROKERS_SUITE_ID)
|
||||
@QaseId(331)
|
||||
@Test
|
||||
public void testCaseD() {
|
||||
}
|
||||
|
||||
@Automation(state = TO_BE_AUTOMATED)
|
||||
@Suite(id = BROKERS_SUITE_ID)
|
||||
@QaseId(331)
|
||||
@Test
|
||||
public void testCaseE() {
|
||||
}
|
||||
|
||||
@Automation(state = TO_BE_AUTOMATED)
|
||||
@Suite(id = BROKERS_SUITE_ID)
|
||||
@QaseId(332)
|
||||
@Test
|
||||
public void testCaseF() {
|
||||
public void testCaseE() {
|
||||
}
|
||||
|
||||
@Automation(state = TO_BE_AUTOMATED)
|
||||
@Suite(id = TOPICS_PROFILE_SUITE_ID)
|
||||
@QaseId(335)
|
||||
@Test
|
||||
public void testCaseG() {
|
||||
public void testCaseF() {
|
||||
}
|
||||
|
||||
@Automation(state = TO_BE_AUTOMATED)
|
||||
@Suite(id = TOPICS_PROFILE_SUITE_ID)
|
||||
@QaseId(336)
|
||||
@Test
|
||||
public void testCaseG() {
|
||||
}
|
||||
|
||||
@Automation(state = TO_BE_AUTOMATED)
|
||||
@Suite(id = TOPICS_PROFILE_SUITE_ID)
|
||||
@QaseId(343)
|
||||
@Test
|
||||
public void testCaseH() {
|
||||
}
|
||||
|
||||
@Automation(state = TO_BE_AUTOMATED)
|
||||
@Suite(id = KSQL_DB_SUITE_ID)
|
||||
@QaseId(344)
|
||||
@Test
|
||||
public void testCaseI() {
|
||||
}
|
||||
|
||||
@Automation(state = TO_BE_AUTOMATED)
|
||||
@Suite(id = SCHEMAS_SUITE_ID)
|
||||
@QaseId(345)
|
||||
@Test
|
||||
public void testCaseJ() {
|
||||
}
|
||||
|
||||
@Automation(state = TO_BE_AUTOMATED)
|
||||
@Suite(id = SCHEMAS_SUITE_ID)
|
||||
@QaseId(346)
|
||||
@Test
|
||||
public void testCaseK() {
|
||||
}
|
||||
|
||||
@Automation(state = TO_BE_AUTOMATED)
|
||||
@Suite(id = TOPICS_PROFILE_SUITE_ID)
|
||||
@QaseId(347)
|
||||
@Test
|
||||
public void testCaseL() {
|
||||
}
|
||||
}
|
||||
|
|
|
@ -92,4 +92,28 @@ public class TopicsTest extends BaseManualTest {
|
|||
@Test
|
||||
public void testCaseN() {
|
||||
}
|
||||
|
||||
@Automation(state = NOT_AUTOMATED)
|
||||
@QaseId(337)
|
||||
@Test
|
||||
public void testCaseO() {
|
||||
}
|
||||
|
||||
@Automation(state = NOT_AUTOMATED)
|
||||
@QaseId(339)
|
||||
@Test
|
||||
public void testCaseP() {
|
||||
}
|
||||
|
||||
@Automation(state = NOT_AUTOMATED)
|
||||
@QaseId(341)
|
||||
@Test
|
||||
public void testCaseQ() {
|
||||
}
|
||||
|
||||
@Automation(state = NOT_AUTOMATED)
|
||||
@QaseId(342)
|
||||
@Test
|
||||
public void testCaseR() {
|
||||
}
|
||||
}
|
||||
|
|
|
@ -14,4 +14,16 @@ public class WizardTest extends BaseManualTest {
|
|||
@Test
|
||||
public void testCaseA() {
|
||||
}
|
||||
|
||||
@Automation(state = NOT_AUTOMATED)
|
||||
@QaseId(338)
|
||||
@Test
|
||||
public void testCaseB() {
|
||||
}
|
||||
|
||||
@Automation(state = NOT_AUTOMATED)
|
||||
@QaseId(340)
|
||||
@Test
|
||||
public void testCaseC() {
|
||||
}
|
||||
}
|
||||
|
|
|
@ -1,5 +1,6 @@
|
|||
package com.provectus.kafka.ui.smokesuite.ksqldb;
|
||||
|
||||
import static com.provectus.kafka.ui.pages.ksqldb.enums.KsqlMenuTabs.STREAMS;
|
||||
import static com.provectus.kafka.ui.pages.ksqldb.enums.KsqlQueryConfig.SHOW_TABLES;
|
||||
import static com.provectus.kafka.ui.pages.panels.enums.MenuItem.KSQL_DB;
|
||||
import static org.apache.commons.lang3.RandomStringUtils.randomAlphabetic;
|
||||
|
@ -39,17 +40,21 @@ public class KsqlDbTest extends BaseTest {
|
|||
FIRST_TABLE.getName(), SECOND_TABLE.getName()));
|
||||
}
|
||||
|
||||
@QaseId(86)
|
||||
@QaseId(284)
|
||||
@Test(priority = 1)
|
||||
public void clearResultsForExecutedRequest() {
|
||||
navigateToKsqlDbAndExecuteRequest(SHOW_TABLES.getQuery());
|
||||
public void streamsAndTablesVisibilityCheck() {
|
||||
naviSideBar
|
||||
.openSideMenu(KSQL_DB);
|
||||
ksqlDbList
|
||||
.waitUntilScreenReady();
|
||||
SoftAssert softly = new SoftAssert();
|
||||
softly.assertTrue(ksqlQueryForm.areResultsVisible(), "areResultsVisible()");
|
||||
softly.assertAll();
|
||||
ksqlQueryForm
|
||||
.clickClearResultsBtn();
|
||||
softly.assertFalse(ksqlQueryForm.areResultsVisible(), "areResultsVisible()");
|
||||
softly.assertTrue(ksqlDbList.getTableByName(FIRST_TABLE.getName()).isVisible(), "getTableByName()");
|
||||
softly.assertTrue(ksqlDbList.getTableByName(SECOND_TABLE.getName()).isVisible(), "getTableByName()");
|
||||
softly.assertAll();
|
||||
ksqlDbList
|
||||
.openDetailsTab(STREAMS)
|
||||
.waitUntilScreenReady();
|
||||
Assert.assertTrue(ksqlDbList.getStreamByName(DEFAULT_STREAM.getName()).isVisible(), "getStreamByName()");
|
||||
}
|
||||
|
||||
@QaseId(276)
|
||||
|
@ -68,11 +73,31 @@ public class KsqlDbTest extends BaseTest {
|
|||
navigateToKsqlDbAndExecuteRequest(SHOW_TABLES.getQuery());
|
||||
SoftAssert softly = new SoftAssert();
|
||||
softly.assertTrue(ksqlQueryForm.areResultsVisible(), "areResultsVisible()");
|
||||
softly.assertTrue(ksqlQueryForm.getItemByName(FIRST_TABLE.getName()).isVisible(), "getItemByName()");
|
||||
softly.assertTrue(ksqlQueryForm.getItemByName(SECOND_TABLE.getName()).isVisible(), "getItemByName()");
|
||||
softly.assertTrue(ksqlQueryForm.getItemByName(FIRST_TABLE.getName()).isVisible(),
|
||||
String.format("getItemByName(%s)", FIRST_TABLE.getName()));
|
||||
softly.assertTrue(ksqlQueryForm.getItemByName(SECOND_TABLE.getName()).isVisible(),
|
||||
String.format("getItemByName(%s)", SECOND_TABLE.getName()));
|
||||
softly.assertAll();
|
||||
}
|
||||
|
||||
@QaseId(86)
|
||||
@Test(priority = 4)
|
||||
public void clearResultsForExecutedRequest() {
|
||||
navigateToKsqlDbAndExecuteRequest(SHOW_TABLES.getQuery());
|
||||
SoftAssert softly = new SoftAssert();
|
||||
softly.assertTrue(ksqlQueryForm.areResultsVisible(), "areResultsVisible()");
|
||||
softly.assertAll();
|
||||
ksqlQueryForm
|
||||
.clickClearResultsBtn();
|
||||
softly.assertFalse(ksqlQueryForm.areResultsVisible(), "areResultsVisible()");
|
||||
softly.assertAll();
|
||||
}
|
||||
|
||||
@AfterClass(alwaysRun = true)
|
||||
public void afterClass() {
|
||||
TOPIC_NAMES_LIST.forEach(topicName -> apiService.deleteTopic(topicName));
|
||||
}
|
||||
|
||||
@Step
|
||||
private void navigateToKsqlDbAndExecuteRequest(String query) {
|
||||
naviSideBar
|
||||
|
@ -85,9 +110,4 @@ public class KsqlDbTest extends BaseTest {
|
|||
.setQuery(query)
|
||||
.clickExecuteBtn(query);
|
||||
}
|
||||
|
||||
@AfterClass(alwaysRun = true)
|
||||
public void afterClass() {
|
||||
TOPIC_NAMES_LIST.forEach(topicName -> apiService.deleteTopic(topicName));
|
||||
}
|
||||
}
|
||||
|
|
|
@ -1,26 +1,41 @@
|
|||
import React from 'react';
|
||||
import { FullConnectorInfo } from 'generated-sources';
|
||||
import {
|
||||
Action,
|
||||
ConnectorAction,
|
||||
ConnectorState,
|
||||
FullConnectorInfo,
|
||||
ResourceType,
|
||||
} from 'generated-sources';
|
||||
import { CellContext } from '@tanstack/react-table';
|
||||
import { ClusterNameRoute } from 'lib/paths';
|
||||
import useAppParams from 'lib/hooks/useAppParams';
|
||||
import { Dropdown, DropdownItem } from 'components/common/Dropdown';
|
||||
import { useDeleteConnector } from 'lib/hooks/api/kafkaConnect';
|
||||
import {
|
||||
useDeleteConnector,
|
||||
useUpdateConnectorState,
|
||||
} from 'lib/hooks/api/kafkaConnect';
|
||||
import { useConfirm } from 'lib/hooks/useConfirm';
|
||||
import { useIsMutating } from '@tanstack/react-query';
|
||||
import { ActionDropdownItem } from 'components/common/ActionComponent';
|
||||
|
||||
const ActionsCell: React.FC<CellContext<FullConnectorInfo, unknown>> = ({
|
||||
row,
|
||||
}) => {
|
||||
const { connect, name } = row.original;
|
||||
|
||||
const { connect, name, status } = row.original;
|
||||
const { clusterName } = useAppParams<ClusterNameRoute>();
|
||||
|
||||
const mutationsNumber = useIsMutating();
|
||||
const isMutating = mutationsNumber > 0;
|
||||
const confirm = useConfirm();
|
||||
const deleteMutation = useDeleteConnector({
|
||||
clusterName,
|
||||
connectName: connect,
|
||||
connectorName: name,
|
||||
});
|
||||
|
||||
const stateMutation = useUpdateConnectorState({
|
||||
clusterName,
|
||||
connectName: connect,
|
||||
connectorName: name,
|
||||
});
|
||||
const handleDelete = () => {
|
||||
confirm(
|
||||
<>
|
||||
|
@ -31,8 +46,66 @@ const ActionsCell: React.FC<CellContext<FullConnectorInfo, unknown>> = ({
|
|||
}
|
||||
);
|
||||
};
|
||||
// const stateMutation = useUpdateConnectorState(routerProps);
|
||||
const resumeConnectorHandler = () =>
|
||||
stateMutation.mutateAsync(ConnectorAction.RESUME);
|
||||
const restartConnectorHandler = () =>
|
||||
stateMutation.mutateAsync(ConnectorAction.RESTART);
|
||||
|
||||
const restartAllTasksHandler = () =>
|
||||
stateMutation.mutateAsync(ConnectorAction.RESTART_ALL_TASKS);
|
||||
|
||||
const restartFailedTasksHandler = () =>
|
||||
stateMutation.mutateAsync(ConnectorAction.RESTART_FAILED_TASKS);
|
||||
|
||||
return (
|
||||
<Dropdown>
|
||||
{status.state === ConnectorState.PAUSED && (
|
||||
<ActionDropdownItem
|
||||
onClick={resumeConnectorHandler}
|
||||
disabled={isMutating}
|
||||
permission={{
|
||||
resource: ResourceType.CONNECT,
|
||||
action: Action.EDIT,
|
||||
value: name,
|
||||
}}
|
||||
>
|
||||
Resume
|
||||
</ActionDropdownItem>
|
||||
)}
|
||||
<ActionDropdownItem
|
||||
onClick={restartConnectorHandler}
|
||||
disabled={isMutating}
|
||||
permission={{
|
||||
resource: ResourceType.CONNECT,
|
||||
action: Action.EDIT,
|
||||
value: name,
|
||||
}}
|
||||
>
|
||||
Restart Connector
|
||||
</ActionDropdownItem>
|
||||
<ActionDropdownItem
|
||||
onClick={restartAllTasksHandler}
|
||||
disabled={isMutating}
|
||||
permission={{
|
||||
resource: ResourceType.CONNECT,
|
||||
action: Action.EDIT,
|
||||
value: name,
|
||||
}}
|
||||
>
|
||||
Restart All Tasks
|
||||
</ActionDropdownItem>
|
||||
<ActionDropdownItem
|
||||
onClick={restartFailedTasksHandler}
|
||||
disabled={isMutating}
|
||||
permission={{
|
||||
resource: ResourceType.CONNECT,
|
||||
action: Action.EDIT,
|
||||
value: name,
|
||||
}}
|
||||
>
|
||||
Restart Failed Tasks
|
||||
</ActionDropdownItem>
|
||||
<DropdownItem onClick={handleDelete} danger>
|
||||
Remove Connector
|
||||
</DropdownItem>
|
||||
|
|
|
@ -9,7 +9,11 @@ import { screen, waitFor } from '@testing-library/react';
|
|||
import userEvent from '@testing-library/user-event';
|
||||
import { render, WithRoute } from 'lib/testHelpers';
|
||||
import { clusterConnectConnectorPath, clusterConnectorsPath } from 'lib/paths';
|
||||
import { useConnectors, useDeleteConnector } from 'lib/hooks/api/kafkaConnect';
|
||||
import {
|
||||
useConnectors,
|
||||
useDeleteConnector,
|
||||
useUpdateConnectorState,
|
||||
} from 'lib/hooks/api/kafkaConnect';
|
||||
|
||||
const mockedUsedNavigate = jest.fn();
|
||||
const mockDelete = jest.fn();
|
||||
|
@ -22,6 +26,7 @@ jest.mock('react-router-dom', () => ({
|
|||
jest.mock('lib/hooks/api/kafkaConnect', () => ({
|
||||
useConnectors: jest.fn(),
|
||||
useDeleteConnector: jest.fn(),
|
||||
useUpdateConnectorState: jest.fn(),
|
||||
}));
|
||||
|
||||
const clusterName = 'local';
|
||||
|
@ -42,6 +47,10 @@ describe('Connectors List', () => {
|
|||
(useConnectors as jest.Mock).mockImplementation(() => ({
|
||||
data: connectors,
|
||||
}));
|
||||
const restartConnector = jest.fn();
|
||||
(useUpdateConnectorState as jest.Mock).mockImplementation(() => ({
|
||||
mutateAsync: restartConnector,
|
||||
}));
|
||||
});
|
||||
|
||||
it('renders', async () => {
|
||||
|
|
|
@ -27,7 +27,7 @@ export interface AddEditFilterContainerProps {
|
|||
inputDisplayNameDefaultValue?: string;
|
||||
inputCodeDefaultValue?: string;
|
||||
isAdd?: boolean;
|
||||
submitCallback?: (values: AddMessageFilters) => Promise<void>;
|
||||
submitCallback?: (values: AddMessageFilters) => void;
|
||||
}
|
||||
|
||||
const AddEditFilterContainer: React.FC<AddEditFilterContainerProps> = ({
|
||||
|
|
|
@ -59,7 +59,7 @@ const Topic: React.FC = () => {
|
|||
|
||||
const deleteTopicHandler = async () => {
|
||||
await deleteTopic.mutateAsync(topicName);
|
||||
navigate('../..');
|
||||
navigate(clusterTopicsPath(clusterName));
|
||||
};
|
||||
|
||||
React.useEffect(() => {
|
||||
|
|
|
@ -10,6 +10,7 @@ import {
|
|||
clusterTopicMessagesPath,
|
||||
clusterTopicPath,
|
||||
clusterTopicSettingsPath,
|
||||
clusterTopicsPath,
|
||||
clusterTopicStatisticsPath,
|
||||
getNonExactPath,
|
||||
} from 'lib/paths';
|
||||
|
@ -179,7 +180,9 @@ describe('Details', () => {
|
|||
name: 'Confirm',
|
||||
});
|
||||
await userEvent.click(submitDeleteButton);
|
||||
expect(mockNavigate).toHaveBeenCalledWith('../..');
|
||||
expect(mockNavigate).toHaveBeenCalledWith(
|
||||
clusterTopicsPath(mockClusterName)
|
||||
);
|
||||
});
|
||||
|
||||
it('shows a confirmation popup on deleting topic messages', async () => {
|
||||
|
|
|
@ -70,7 +70,7 @@ export const DropdownButton = styled.button`
|
|||
`;
|
||||
|
||||
export const DangerItem = styled.div`
|
||||
color: ${({ theme: { dropdown } }) => dropdown.item.color.normal};
|
||||
color: ${({ theme: { dropdown } }) => dropdown.item.color.danger};
|
||||
`;
|
||||
|
||||
export const DropdownItemHint = styled.div`
|
||||
|
|
|
@ -76,7 +76,8 @@ export function useUpdateConnectorState(props: UseConnectorProps) {
|
|||
return useMutation(
|
||||
(action: ConnectorAction) => api.updateConnectorState({ ...props, action }),
|
||||
{
|
||||
onSuccess: () => client.invalidateQueries(connectorKey(props)),
|
||||
onSuccess: () =>
|
||||
client.invalidateQueries(['clusters', props.clusterName, 'connectors']),
|
||||
}
|
||||
);
|
||||
}
|
||||
|
|
4
pom.xml
4
pom.xml
|
@ -26,7 +26,7 @@
|
|||
<assertj.version>3.19.0</assertj.version>
|
||||
<avro.version>1.11.1</avro.version>
|
||||
<byte-buddy.version>1.12.19</byte-buddy.version>
|
||||
<confluent.version>7.3.0</confluent.version>
|
||||
<confluent.version>7.3.3</confluent.version>
|
||||
<datasketches-java.version>3.1.0</datasketches-java.version>
|
||||
<groovy.version>3.0.13</groovy.version>
|
||||
<jackson.version>2.14.0</jackson.version>
|
||||
|
@ -43,7 +43,7 @@
|
|||
|
||||
<!-- Test dependency versions -->
|
||||
<junit.version>5.9.1</junit.version>
|
||||
<mockito.version>5.1.1</mockito.version>
|
||||
<mockito.version>5.3.0</mockito.version>
|
||||
<okhttp3.mockwebserver.version>4.10.0</okhttp3.mockwebserver.version>
|
||||
<testcontainers.version>1.17.5</testcontainers.version>
|
||||
|
||||
|
|
Loading…
Add table
Reference in a new issue