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| { | ||
| "blobStorageEndpoint": "https://accountName.blob.core.windows.net/container-name" | ||
| "messageQueue": { | ||
| "type": "kafka" | ||
| "bootstrapServers": "localhost:9092" | ||
| "topicName": "loaderTopic" | ||
| }, | ||
| "storage" : { | ||
| "host": "abc.cloud.databricks.com" | ||
| "password": "Supersecret1" | ||
| "schema": "atomic", | ||
| "port": 443, | ||
| "httpPath": "/databricks/http/path", | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
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| { | ||
|
|
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| # Azure Blob Storage endpoint, should contain container with transformer's output | ||
| "blobStorageEndpoint": "https://accountName.blob.core.windows.net/container-name" | ||
|
|
||
| # Name of the Azure Key Vault where application secrets are stored. | ||
| # Required if secret store is used in storage.password field. | ||
| "azureVaultName": "azure-vault" | ||
|
|
||
| # Kafka topic used by Transformer and Loader to communicate | ||
| "messageQueue": { | ||
| "type": "kafka" | ||
|
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||
| # Name of the Kafka topic to read from | ||
| "topicName": "loaderTopic" | ||
|
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| # A list of host:port pairs to use for establishing the initial connection to the Kafka cluster | ||
| # This list should be in the form host1:port1,host2:port2,... | ||
| "bootstrapServers": "localhost:9092" | ||
|
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| # Optional, Kafka Consumer configuration | ||
| # See https://kafka.apache.org/documentation/#consumerconfigs for all properties | ||
| "consumerConf": { | ||
| "enable.auto.commit": "false" | ||
| "auto.offset.reset" : "latest" | ||
| "group.id": "loader" | ||
| "allow.auto.create.topics": "false" | ||
| } | ||
| }, | ||
|
|
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| # Warehouse connection details | ||
| "storage" : { | ||
| # Hostname of Databricks cluster | ||
| "host": "abc.cloud.databricks.com", | ||
| # DB password | ||
| "password": { | ||
| # A password can be placed in Azure Key Vault or be a plain text | ||
| "secretStore": { | ||
| "parameterName": "snowplow.databricks.password" | ||
| } | ||
| }, | ||
| # Optional. Override the Databricks default catalog, e.g. with a Unity catalog name. | ||
| "catalog": "hive_metastore", | ||
| # DB schema | ||
| "schema": "atomic", | ||
| # Database port | ||
| "port": 443, | ||
| # Http Path of Databricks cluster | ||
| "httpPath": "/databricks/http/path", | ||
| # User agent name for Databricks connection. Optional, default value "snowplow-rdbloader-oss" | ||
| "userAgent": "snowplow-rdbloader-oss" | ||
|
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||
| # Optimize period per table, that will be used as predicate for the OPTIMIZE command. | ||
| "eventsOptimizePeriod": "2 days" | ||
|
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||
| # Optional, default method is 'NoCreds' | ||
| # Specifies the auth method to use with 'COPY INTO' statement. | ||
| "loadAuthMethod": { | ||
| # With 'NoCreds', no credentials will be passed to 'COPY INTO' statement. | ||
| # Databricks cluster needs to have permission to access transformer | ||
| # output Azure Blob Storage container. More information can be found here: | ||
| # https://docs.databricks.com/storage/azure-storage.html | ||
| "type": "NoCreds" | ||
| } | ||
| #"loadAuthMethod": { | ||
| # # With 'TempCreds', temporary credentials will be created for every | ||
| # # load operation and these temporary credentials will be passed to | ||
| # # 'COPY INTO' statement. With this way, Databricks cluster doesn't need | ||
| # # permission to access to transformer output Azure Blob Storage container. | ||
| # # This access will be provided by temporary credentials. | ||
| # "type": "TempCreds" | ||
| # | ||
| # # If 'TempCreds' load auth method is used, this value will be used as a session duration | ||
| # # of temporary credentials used for loading data and folder monitoring. | ||
| # # Optional, default value "1 hour" | ||
| # "credentialsTtl": "1 hour" | ||
| #} | ||
| }, | ||
|
|
||
| "schedules": { | ||
| # Periodic schedules to stop loading, e.g. for Databricks maintenance window | ||
| # Any amount of schedules is supported, but recommended to not overlap them | ||
| # The schedule works with machine's local timezone (and UTC is recommended) | ||
| "noOperation": [ | ||
| { | ||
| # Human-readable name of the no-op window | ||
| "name": "Maintenance window", | ||
| # Cron expression with second granularity | ||
| "when": "0 0 12 * * ?", | ||
| # For how long the loader should be paused | ||
| "duration": "1 hour" | ||
| } | ||
| ], | ||
| # Loader runs periodic OPTIMIZE statements to prevent growing number of files behind delta tables. | ||
| "optimizeEvents": "0 0 0 ? * *", | ||
| "optimizeManifest": "0 0 5 ? * *" | ||
| } | ||
|
|
||
| # Observability and reporting options | ||
| "monitoring": { | ||
| # Snowplow tracking (optional) | ||
| "snowplow": { | ||
| "appId": "databricks-loader", | ||
| "collector": "snplow.acme.com", | ||
| }, | ||
|
|
||
| # An endpoint for alerts and infromational events | ||
| # Everything sent to snowplow collector (as properly formed self-describing events) | ||
| # will also be sent to the webhook as POST payloads with self-describing JSONs | ||
| "webhook": { | ||
| # An actual HTTP endpoint | ||
| "endpoint": "https://webhook.acme.com", | ||
| # Set of arbitrary key-value pairs attached to the payload | ||
| "tags": { | ||
| "pipeline": "production" | ||
| } | ||
| }, | ||
|
|
||
| # Optional, for tracking runtime exceptions | ||
| "sentry": { | ||
| "dsn": "http://sentry.acme.com" | ||
| }, | ||
|
|
||
| # Optional, configure how metrics are reported | ||
| "metrics": { | ||
| # Optional, send metrics to StatsD server | ||
| "statsd": { | ||
| "hostname": "localhost", | ||
| "port": 8125, | ||
| # Any key-value pairs to be tagged on every StatsD metric | ||
| "tags": { | ||
| "app": "rdb-loader" | ||
| } | ||
| # Optional, override the default metric prefix | ||
| # "prefix": "snowplow.rdbloader." | ||
| }, | ||
|
|
||
| # Optional, print metrics on stdout (with slf4j) | ||
| "stdout": { | ||
| # Optional, override the default metric prefix | ||
| # "prefix": "snowplow.rdbloader." | ||
| } | ||
|
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||
| # Optional, period for metrics emitted periodically | ||
| # Default value 5 minutes | ||
| # There is only one periodic metric at the moment. | ||
| # This metric is minimum_age_of_loaded_data. | ||
| # It specifies how old is the latest event in the warehouse. | ||
| "period": "5 minutes" | ||
| }, | ||
|
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||
| # Optional, configuration for periodic unloaded/corrupted folders checks | ||
| "folders": { | ||
| # Path where Loader could store auxiliary logs | ||
| # Loader should be able to write here, Databricks should be able to load from here | ||
| "staging": "https://accountName.blob.core.windows.net/staging/", | ||
| # How often to check | ||
| "period": "1 hour" | ||
| # Specifies since when folder monitoring will check | ||
| "since": "14 days" | ||
| # Specifies until when folder monitoring will check | ||
| "until": "7 days" | ||
| # Path to transformer archive (must be same as Transformer's `output.path`) | ||
| "transformerOutput": "https://accountName.blob.core.windows.net/transformed/" | ||
| # How many times the check can fail before generating an alarm instead of warning | ||
| "failBeforeAlarm": 3 | ||
| }, | ||
|
|
||
| # Periodic DB health-check, raising a warning if DB hasn't responded to `SELECT 1` | ||
| "healthCheck": { | ||
| # How often query a DB | ||
| "frequency": "20 minutes", | ||
| # How long to wait for a response | ||
| "timeout": "15 seconds" | ||
| } | ||
| }, | ||
|
|
||
| # Immediate retries configuration | ||
| # Unlike retryQueue these retries happen immediately, without proceeding to another message | ||
| "retries": { | ||
| # Starting backoff period | ||
| "backoff": "30 seconds" | ||
| # A strategy to use when deciding on next backoff | ||
| "strategy": "EXPONENTIAL" | ||
| # How many attempts to make before sending the message into retry queue | ||
| # If missing - the loader will be retrying until cumulative bound | ||
| "attempts": 3, | ||
| # When backoff reaches this delay the Loader will stop retrying | ||
| # Missing cumulativeBound with missing attempts will force to retry inifintely | ||
| "cumulativeBound": "1 hour" | ||
| }, | ||
|
|
||
| # Check the target destination to make sure it is ready. | ||
| # Retry the checking until target got ready and block the application in the meantime | ||
| "readyCheck": { | ||
| # Starting backoff period | ||
| "backoff": "15 seconds" | ||
| # A strategy to use when deciding on next backoff | ||
| "strategy": "CONSTANT" | ||
| # When backoff reaches this delay the Loader will stop retrying | ||
| "cumulativeBound": "10 minutes" | ||
| }, | ||
|
|
||
| # Retries configuration for initilization block | ||
| # It will retry on all exceptions from there | ||
| "initRetries": { | ||
| # Starting backoff period | ||
| "backoff": "30 seconds" | ||
| # A strategy to use when deciding on next backoff | ||
| "strategy": "EXPONENTIAL" | ||
| # How many attempts to make before sending the message into retry queue | ||
| # If missing - the loader will be retrying until cumulative bound | ||
| "attempts": 3, | ||
| # When backoff reaches this delay the Loader will stop retrying | ||
| # Missing cumulativeBound with missing attempts will force to retry inifintely | ||
| "cumulativeBound": "1 hour" | ||
| }, | ||
|
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||
| # Additional backlog of recently failed folders that could be automatically retried | ||
| # Retry Queue saves a failed folder and then re-reads the info from shredding_complete S3 file | ||
| "retryQueue": { | ||
| # How often batch of failed folders should be pulled into a discovery queue | ||
| "period": "30 minutes", | ||
| # How many failures should be kept in memory | ||
| # After the limit is reached new failures are dropped | ||
| "size": 64, | ||
| # How many attempt to make for each folder | ||
| # After the limit is reached new failures are dropped | ||
| "maxAttempts": 3, | ||
| # Artificial pause after each failed folder being added to the queue | ||
| "interval": "5 seconds" | ||
| }, | ||
|
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| "timeouts": { | ||
| # How long loading (actual COPY statements) can take before considering Databricks unhealthy | ||
| # Without any progress (i.e. different subfolder) within this period, loader | ||
| # will abort the transaction | ||
| "loading": "45 minutes", | ||
|
|
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| # How long non-loading steps (such as ALTER TABLE or metadata queries) can take | ||
| # before considering Databricks unhealthy | ||
| "nonLoading": "10 minutes" | ||
| } | ||
|
|
||
| # Optional. Configure telemetry | ||
| # All the fields are optional | ||
| "telemetry": { | ||
| # Set to true to disable telemetry | ||
| "disable": false | ||
| # Interval for the heartbeat event | ||
| "interval": 15 minutes | ||
| # HTTP method used to send the heartbeat event | ||
| "method": "POST" | ||
| # URI of the collector receiving the heartbeat event | ||
| "collectorUri": "collector-g.snowplowanalytics.com" | ||
| # Port of the collector receiving the heartbeat event | ||
| "collectorPort": 443 | ||
| # Whether to use https or not | ||
| "secure": true | ||
| # Identifier intended to tie events together across modules, | ||
| # infrastructure and apps when used consistently | ||
| "userProvidedId": "my_pipeline" | ||
| # ID automatically generated upon running a modules deployment script | ||
| # Intended to identify each independent module, and the infrastructure it controls | ||
| "autoGeneratedId": "hfy67e5ydhtrd" | ||
| # Unique identifier for the VM instance | ||
| # Unique for each instance of the app running within a module | ||
| "instanceId": "665bhft5u6udjf" | ||
| # Name of the terraform module that deployed the app | ||
| "moduleName": "rdb-loader-ce" | ||
| # Version of the terraform module that deployed the app | ||
| "moduleVersion": "1.0.0" | ||
| } | ||
| } |
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