86 lines
3.5 KiB
YAML
86 lines
3.5 KiB
YAML
#
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# Copyright © 2016-2023 The Thingsboard Authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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queue_type: "TB_QUEUE_TYPE" #kafka (Apache Kafka) or aws-sqs (AWS SQS) or pubsub (PubSub) or service-bus (Azure Service Bus) or rabbitmq (RabbitMQ)
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queue_prefix: "TB_QUEUE_PREFIX"
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request_topic: "REMOTE_JS_EVAL_REQUEST_TOPIC"
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http_port: "HTTP_PORT" # /livenessProbe
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js:
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response_poll_interval: "REMOTE_JS_RESPONSE_POLL_INTERVAL_MS"
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max_result_size: "JS_MAX_RESULT_SIZE"
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kafka:
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bootstrap:
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# Kafka Bootstrap Servers
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servers: "TB_KAFKA_SERVERS"
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replication_factor: "TB_QUEUE_KAFKA_REPLICATION_FACTOR"
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acks: "TB_KAFKA_ACKS" # -1 = all; 0 = no acknowledgments; 1 = only waits for the leader to acknowledge
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batch_size: "TB_KAFKA_BATCH_SIZE" # for producer
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linger_ms: "TB_KAFKA_LINGER_MS" # for producer
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partitions_consumed_concurrently: "TB_KAFKA_PARTITIONS_CONSUMED_CONCURRENTLY" # (EXPERIMENTAL) increase this value if you are planning to handle more than one partition (scale up, scale down) - this will decrease the latency
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requestTimeout: "TB_QUEUE_KAFKA_REQUEST_TIMEOUT_MS"
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connectionTimeout: "TB_KAFKA_CONNECTION_TIMEOUT_MS"
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compression: "TB_QUEUE_KAFKA_COMPRESSION" # gzip or uncompressed
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topic_properties: "TB_QUEUE_KAFKA_JE_TOPIC_PROPERTIES"
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use_confluent_cloud: "TB_QUEUE_KAFKA_USE_CONFLUENT_CLOUD"
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client_id: "KAFKA_CLIENT_ID" #inject pod name to easy identify the client using /opt/kafka/bin/kafka-consumer-groups.sh
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confluent:
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sasl:
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mechanism: "TB_QUEUE_KAFKA_CONFLUENT_SASL_MECHANISM"
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username: "TB_QUEUE_KAFKA_CONFLUENT_USERNAME"
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password: "TB_QUEUE_KAFKA_CONFLUENT_PASSWORD"
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pubsub:
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project_id: "TB_QUEUE_PUBSUB_PROJECT_ID"
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service_account: "TB_QUEUE_PUBSUB_SERVICE_ACCOUNT"
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queue_properties: "TB_QUEUE_PUBSUB_JE_QUEUE_PROPERTIES"
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aws_sqs:
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access_key_id: "TB_QUEUE_AWS_SQS_ACCESS_KEY_ID"
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secret_access_key: "TB_QUEUE_AWS_SQS_SECRET_ACCESS_KEY"
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region: "TB_QUEUE_AWS_SQS_REGION"
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queue_properties: "TB_QUEUE_AWS_SQS_JE_QUEUE_PROPERTIES"
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rabbitmq:
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host: "TB_QUEUE_RABBIT_MQ_HOST"
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port: "TB_QUEUE_RABBIT_MQ_PORT"
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virtual_host: "TB_QUEUE_RABBIT_MQ_VIRTUAL_HOST"
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username: "TB_QUEUE_RABBIT_MQ_USERNAME"
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password: "TB_QUEUE_RABBIT_MQ_PASSWORD"
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queue_properties: "TB_QUEUE_RABBIT_MQ_JE_QUEUE_PROPERTIES"
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service_bus:
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namespace_name: "TB_QUEUE_SERVICE_BUS_NAMESPACE_NAME"
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sas_key_name: "TB_QUEUE_SERVICE_BUS_SAS_KEY_NAME"
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sas_key: "TB_QUEUE_SERVICE_BUS_SAS_KEY"
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max_messages: "TB_QUEUE_SERVICE_BUS_MAX_MESSAGES"
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queue_properties: "TB_QUEUE_SERVICE_BUS_JE_QUEUE_PROPERTIES"
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logger:
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level: "LOGGER_LEVEL"
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path: "LOG_FOLDER"
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filename: "LOGGER_FILENAME"
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script:
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use_sandbox: "SCRIPT_USE_SANDBOX"
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memory_usage_trace_frequency: "MEMORY_USAGE_TRACE_FREQUENCY"
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stat_print_frequency: "SCRIPT_STAT_PRINT_FREQUENCY"
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script_body_trace_frequency: "SCRIPT_BODY_TRACE_FREQUENCY"
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max_active_scripts: "MAX_ACTIVE_SCRIPTS"
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slow_query_log_ms: "SLOW_QUERY_LOG_MS" #1.123456
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slow_query_log_body: "SLOW_QUERY_LOG_BODY" #true or false
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