# # Copyright © 2016-2025 The Thingsboard Authors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # server: # Server bind-address address: "${HTTP_BIND_ADDRESS:0.0.0.0}" # Server bind port port: "${HTTP_BIND_PORT:8080}" # Application info parameters app: # Application version version: "@project.version@" # Zookeeper connection parameters zk: # Enable/disable zookeeper discovery service. enabled: "${ZOOKEEPER_ENABLED:true}" # Zookeeper connect string url: "${ZOOKEEPER_URL:localhost:2181}" # Zookeeper retry interval in milliseconds retry_interval_ms: "${ZOOKEEPER_RETRY_INTERVAL_MS:3000}" # Zookeeper connection timeout in milliseconds connection_timeout_ms: "${ZOOKEEPER_CONNECTION_TIMEOUT_MS:3000}" # Zookeeper session timeout in milliseconds session_timeout_ms: "${ZOOKEEPER_SESSION_TIMEOUT_MS:3000}" # Name of the directory in zookeeper 'filesystem' zk_dir: "${ZOOKEEPER_NODES_DIR:/thingsboard}" # The recalculate_delay property is recommended in a microservices architecture setup for rule-engine services. # This property provides a pause to ensure that when a rule-engine service is restarted, other nodes don't immediately attempt to recalculate their partitions. # The delay is recommended because the initialization of rule chain actors is time-consuming. Avoiding unnecessary recalculations during a restart can enhance system performance and stability. recalculate_delay: "${ZOOKEEPER_RECALCULATE_DELAY_MS:0}" spring: main: allow-circular-references: "true" # Spring Boot configuration property that controls whether circular dependencies between beans are allowed. # Queue configuration parameters queue: type: "${TB_QUEUE_TYPE:kafka}" # kafka (Apache Kafka) prefix: "${TB_QUEUE_PREFIX:}" # Global queue prefix. If specified, prefix is added before default topic name: 'prefix.default_topic_name'. Prefix is applied to all topics (and consumer groups for kafka). edqs: # Number of partitions for EDQS topics partitions: "${TB_EDQS_PARTITIONS:12}" # EDQS partitioning strategy: tenant (partitions are resolved and distributed by tenant id) or none (partitions are resolved by message key; each instance has all the partitions) partitioning_strategy: "${TB_EDQS_PARTITIONING_STRATEGY:tenant}" # EDQS requests topic requests_topic: "${TB_EDQS_REQUESTS_TOPIC:edqs.requests}" # EDQS responses topic responses_topic: "${TB_EDQS_RESPONSES_TOPIC:edqs.responses}" # Poll interval for EDQS topics poll_interval: "${TB_EDQS_POLL_INTERVAL_MS:125}" # Maximum amount of pending requests to EDQS max_pending_requests: "${TB_EDQS_MAX_PENDING_REQUESTS:10000}" # Maximum timeout for requests to EDQS max_request_timeout: "${TB_EDQS_MAX_REQUEST_TIMEOUT:20000}" stats: # Enable/disable statistics for EDQS enabled: "${TB_EDQS_STATS_ENABLED:true}" kafka: # Kafka Bootstrap nodes in "host:port" format bootstrap.servers: "${TB_KAFKA_SERVERS:localhost:9092}" ssl: # Enable/Disable SSL Kafka communication enabled: "${TB_KAFKA_SSL_ENABLED:false}" # The location of the trust store file truststore.location: "${TB_KAFKA_SSL_TRUSTSTORE_LOCATION:}" # The password of trust store file if specified truststore.password: "${TB_KAFKA_SSL_TRUSTSTORE_PASSWORD:}" # The location of the key store file. This is optional for the client and can be used for two-way authentication for the client keystore.location: "${TB_KAFKA_SSL_KEYSTORE_LOCATION:}" # The store password for the key store file. This is optional for the client and only needed if ‘ssl.keystore.location’ is configured. Key store password is not supported for PEM format keystore.password: "${TB_KAFKA_SSL_KEYSTORE_PASSWORD:}" # The password of the private key in the key store file or the PEM key specified in ‘keystore.key’ key.password: "${TB_KAFKA_SSL_KEY_PASSWORD:}" # The number of acknowledgments the producer requires the leader to have received before considering a request complete. This controls the durability of records that are sent. The following settings are allowed:0, 1 and all acks: "${TB_KAFKA_ACKS:all}" # Number of retries. Resend any record whose send fails with a potentially transient error retries: "${TB_KAFKA_RETRIES:1}" # The compression type for all data generated by the producer. The default is none (i.e. no compression). Valid values none or gzip compression.type: "${TB_KAFKA_COMPRESSION_TYPE:none}" # none or gzip # Default batch size. This setting gives the upper bound of the batch size to be sent batch.size: "${TB_KAFKA_BATCH_SIZE:16384}" # This variable creates a small amount of artificial delay—that is, rather than immediately sending out a record linger.ms: "${TB_KAFKA_LINGER_MS:1}" # The maximum size of a request in bytes. This setting will limit the number of record batches the producer will send in a single request to avoid sending huge requests max.request.size: "${TB_KAFKA_MAX_REQUEST_SIZE:1048576}" # The maximum number of unacknowledged requests the client will send on a single connection before blocking max.in.flight.requests.per.connection: "${TB_KAFKA_MAX_IN_FLIGHT_REQUESTS_PER_CONNECTION:5}" # The total bytes of memory the producer can use to buffer records waiting to be sent to the server buffer.memory: "${TB_BUFFER_MEMORY:33554432}" # The multiple copies of data over the multiple brokers of Kafka replication_factor: "${TB_QUEUE_KAFKA_REPLICATION_FACTOR:1}" # The maximum delay between invocations of poll() method when using consumer group management. This places an upper bound on the amount of time that the consumer can be idle before fetching more records max_poll_interval_ms: "${TB_QUEUE_KAFKA_MAX_POLL_INTERVAL_MS:300000}" # The maximum number of records returned in a single call of poll() method max_poll_records: "${TB_QUEUE_KAFKA_MAX_POLL_RECORDS:8192}" # The maximum amount of data per-partition the server will return. Records are fetched in batches by the consumer max_partition_fetch_bytes: "${TB_QUEUE_KAFKA_MAX_PARTITION_FETCH_BYTES:16777216}" # The maximum amount of data the server will return. Records are fetched in batches by the consumer fetch_max_bytes: "${TB_QUEUE_KAFKA_FETCH_MAX_BYTES:134217728}" request.timeout.ms: "${TB_QUEUE_KAFKA_REQUEST_TIMEOUT_MS:30000}" # (30 seconds) # refer to https://docs.confluent.io/platform/current/installation/configuration/producer-configs.html#producerconfigs_request.timeout.ms session.timeout.ms: "${TB_QUEUE_KAFKA_SESSION_TIMEOUT_MS:10000}" # (10 seconds) # refer to https://docs.confluent.io/platform/current/installation/configuration/consumer-configs.html#consumerconfigs_session.timeout.ms auto_offset_reset: "${TB_QUEUE_KAFKA_AUTO_OFFSET_RESET:earliest}" # earliest, latest or none # Enable/Disable using of Confluent Cloud use_confluent_cloud: "${TB_QUEUE_KAFKA_USE_CONFLUENT_CLOUD:false}" confluent: # The endpoint identification algorithm used by clients to validate server hostname. The default value is https ssl.algorithm: "${TB_QUEUE_KAFKA_CONFLUENT_SSL_ALGORITHM:https}" # The mechanism used to authenticate Schema Registry requests. SASL/PLAIN should only be used with TLS/SSL as a transport layer to ensure that clear passwords are not transmitted on the wire without encryption sasl.mechanism: "${TB_QUEUE_KAFKA_CONFLUENT_SASL_MECHANISM:PLAIN}" # Using JAAS Configuration for specifying multiple SASL mechanisms on a broker sasl.config: "${TB_QUEUE_KAFKA_CONFLUENT_SASL_JAAS_CONFIG:org.apache.kafka.common.security.plain.PlainLoginModule required username=\"CLUSTER_API_KEY\" password=\"CLUSTER_API_SECRET\";}" # Protocol used to communicate with brokers. Valid values are: PLAINTEXT, SSL, SASL_PLAINTEXT, SASL_SSL security.protocol: "${TB_QUEUE_KAFKA_CONFLUENT_SECURITY_PROTOCOL:SASL_SSL}" # Key-value properties for Kafka consumer per specific topic, e.g. tb_ota_package is a topic name for ota, tb_rule_engine.sq is a topic name for default SequentialByOriginator queue. # Check TB_QUEUE_CORE_OTA_TOPIC and TB_QUEUE_RE_SQ_TOPIC params consumer-properties-per-topic: edqs.events: # Key-value properties for Kafka consumer for edqs.events topic - key: max.poll.records # Max poll records for edqs.events topic value: "${TB_QUEUE_KAFKA_EDQS_EVENTS_MAX_POLL_RECORDS:512}" edqs.state: # Key-value properties for Kafka consumer for edqs.state topic - key: max.poll.records # Max poll records for edqs.state topic value: "${TB_QUEUE_KAFKA_EDQS_STATE_MAX_POLL_RECORDS:512}" other-inline: "${TB_QUEUE_KAFKA_OTHER_PROPERTIES:}" # In this section you can specify custom parameters (semicolon separated) for Kafka consumer/producer/admin # Example "metrics.recording.level:INFO;metrics.sample.window.ms:30000" other: # DEPRECATED. In this section, you can specify custom parameters for Kafka consumer/producer and expose the env variables to configure outside # - key: "request.timeout.ms" # refer to https://docs.confluent.io/platform/current/installation/configuration/producer-configs.html#producerconfigs_request.timeout.ms # value: "${TB_QUEUE_KAFKA_REQUEST_TIMEOUT_MS:30000}" # (30 seconds) # - key: "session.timeout.ms" # refer to https://docs.confluent.io/platform/current/installation/configuration/consumer-configs.html#consumerconfigs_session.timeout.ms # value: "${TB_QUEUE_KAFKA_SESSION_TIMEOUT_MS:10000}" # (10 seconds) topic-properties: # Kafka properties for EDQS events topics edqs-events: "${TB_QUEUE_KAFKA_EDQS_EVENTS_TOPIC_PROPERTIES:retention.ms:604800000;segment.bytes:52428800;retention.bytes:-1;partitions:1;min.insync.replicas:1}" # Kafka properties for EDQS requests topic (default: 3 minutes retention) edqs-requests: "${TB_QUEUE_KAFKA_EDQS_REQUESTS_TOPIC_PROPERTIES:retention.ms:180000;segment.bytes:52428800;retention.bytes:1048576000;partitions:1;min.insync.replicas:1}" # Kafka properties for EDQS state topic (infinite retention, compaction) edqs-state: "${TB_QUEUE_KAFKA_EDQS_STATE_TOPIC_PROPERTIES:retention.ms:-1;segment.bytes:52428800;retention.bytes:-1;partitions:1;min.insync.replicas:1;cleanup.policy:compact}" consumer-stats: # Prints lag between consumer group offset and last messages offset in Kafka topics enabled: "${TB_QUEUE_KAFKA_CONSUMER_STATS_ENABLED:true}" # Statistics printing interval for Kafka's consumer-groups stats print-interval-ms: "${TB_QUEUE_KAFKA_CONSUMER_STATS_MIN_PRINT_INTERVAL_MS:60000}" # Time to wait for the stats-loading requests to Kafka to finish kafka-response-timeout-ms: "${TB_QUEUE_KAFKA_CONSUMER_STATS_RESPONSE_TIMEOUT_MS:1000}" partitions: hash_function_name: "${TB_QUEUE_PARTITIONS_HASH_FUNCTION_NAME:murmur3_128}" # murmur3_32, murmur3_128 or sha256 # General service parameters service: type: "${TB_SERVICE_TYPE:edqs}" # Unique id for this service (autogenerated if empty) id: "${TB_SERVICE_ID:}" edqs: # EDQS instances with the same label will share the same list of partitions label: "${TB_EDQS_LABEL:}" # Metrics parameters metrics: # Enable/disable actuator metrics. enabled: "${METRICS_ENABLED:false}" timer: # Metrics percentiles returned by actuator for timer metrics. List of double values (divided by ,). percentiles: "${METRICS_TIMER_PERCENTILES:0.5}" system_info: # Persist frequency of system info (CPU, memory usage, etc.) in seconds persist_frequency: "${METRICS_SYSTEM_INFO_PERSIST_FREQUENCY_SECONDS:60}" # TTL in days for system info timeseries ttl: "${METRICS_SYSTEM_INFO_TTL_DAYS:7}" # General management parameters management: endpoints: web: exposure: # Expose metrics endpoint (use value 'prometheus' to enable prometheus metrics). include: '${METRICS_ENDPOINTS_EXPOSE:info}' health: elasticsearch: # Enable the org.springframework.boot.actuate.elasticsearch.ElasticsearchRestClientHealthIndicator.doHealthCheck enabled: "false"