Chapter 35. Google BigQuery Since Camel 2.20 Only producer is supported . The Google Bigquery component provides access to the Cloud BigQuery Infrastructure via the link:https://developers.google.com/api-client-library/java/apis/bigquery/v2 [Google Client Services API]. The current implementation does not use gRPC. The current implementation does not support querying BigQuery, it is only a producer. 35.1. Dependencies When using google-bigquery with Red Hat build of Camel Spring Boot make sure to use the following Maven dependency to have support for auto configuration: <dependency> <groupId>org.apache.camel.springboot</groupId> <artifactId>camel-google-bigquery-starter</artifactId> </dependency> 35.2. Authentication Configuration Google BigQuery component authentication is targeted for use with the GCP Service Accounts. For more information please refer to Google Cloud Platform Auth Guide . Google security credentials can be set explicitly by providing the path to the GCP credentials file location. Or they are set implicitly, where the connection factory falls back on Application Default Credentials . When you have the service account key you can provide authentication credentials to your application code. Google security credentials can be set through the component endpoint: String endpoint = "google-bigquery://project-id:datasetId[:tableId]?serviceAccountKey=/home/user/Downloads/my-key.json"; You can also use the base64 encoded content of the authentication credentials file if you don't want to set a file system path. String endpoint = "google-bigquery://project-id:datasetId[:tableId]?serviceAccountKey=base64:<base64 encoded>"; Or by setting the environment variable GOOGLE_APPLICATION_CREDENTIALS : 35.3. URI Format 35.4. Configuring Options Camel components are configured on two levels: Component level Endpoint level 35.4.1. Component Level Options The component level is the highest level. The configurations you define at this level are inherited by all the endpoints. For example, a component can have security settings, credentials for authentication, urls for network connection, and so on. Since components typically have pre-configured defaults for the most common cases, you may need to only configure a few component options, or maybe none at all. You can configure components with Component DSL in a configuration file (application.properties|yaml), or directly with Java code. 35.4.2. Endpoint Level Options At the Endpoint level you have many options, which you can use to configure what you want the endpoint to do. The options are categorized according to whether the endpoint is used as a consumer (from) or as a producer (to) or used for both. You can configure endpoints directly in the endpoint URI as path and query parameters. You can also use Endpoint DSL and DataFormat DSL as type safe ways of configuring endpoints and data formats in Java. When configuring options, use Property Placeholders for urls, port numbers, sensitive information, and other settings. Placeholders allows you to externalize the configuration from your code, giving you more flexible and reusable code. 35.5. Component Options The Google BigQuery component supports 5 options, which are listed below. Name Description Default Type connectionFactory (producer) Autowired ConnectionFactory to obtain connection to Bigquery Service. If not provided the default one will be used. GoogleBigQueryConnectionFactory datasetId (producer) BigQuery Dataset Id. String lazyStartProducer (producer) Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel's routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing. false boolean projectId (producer) Google Cloud Project Id. String autowiredEnabled (advanced) Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc. true boolean 35.6. Endpoint Options The Google BigQuery endpoint is configured using URI syntax: with the following path and query parameters: 35.6.1. Path Parameters (3 parameters) Name Description Default Type projectId (common) Required Google Cloud Project Id. String datasetId (common) Required BigQuery Dataset Id. String tableId (common) BigQuery table id. String 35.6.2. Query Parameters (4 parameters) Name Description Default Type connectionFactory (producer) Autowired ConnectionFactory to obtain connection to Bigquery Service. If not provided the default one will be used. GoogleBigQueryConnectionFactory useAsInsertId (producer) Field name to use as insert id. String lazyStartProducer (producer (advanced)) Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel's routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing. false boolean serviceAccountKey (security) Service account key in json format to authenticate an application as a service account to google cloud platform. String 35.7. Message Headers The Google BigQuery component supports 4 message header(s), which is/are listed below: Name Description Default Type CamelGoogleBigQueryTableSuffix (producer) Constant: TABLE_SUFFIX Table suffix to use when inserting data. String CamelGoogleBigQueryTableId (producer) Constant: TABLE_ID Table id where data will be submitted. If specified will override endpoint configuration. String CamelGoogleBigQueryInsertId (producer) Constant: INSERT_ID InsertId to use when inserting data. String CamelGoogleBigQueryPartitionDecorator (producer) Constant: PARTITION_DECORATOR Partition decorator to indicate partition to use when inserting data. String 35.8. Producer Endpoints Producer endpoints can accept and deliver to BigQuery individual and grouped exchanges alike. Grouped exchanges have Exchange.GROUPED_EXCHANGE property set. Google BigQuery producer will send a grouped exchange in a single api call unless different table suffix or partition decorators are specified in which case it will break it down to ensure data is written with the correct suffix or partition decorator. Google BigQuery endpoint expects the payload to be either a map or list of maps. A payload containing a map will insert a single row and a payload containing a list of map's will insert a row for each entry in the list. 35.9. Template tables Templated tables can be specified using the GoogleBigQueryConstants.TABLE_SUFFIX header. For example, the following route will create tables and insert records sharded on a per day basis: from("direct:start") .header(GoogleBigQueryConstants.TABLE_SUFFIX, "_USD{date:now:yyyyMMdd}") .to("google-bigquery:sampleDataset:sampleTable") Note It is recommended to use partitioning for this use case. For more information about Template table, see Template Tables . 35.10. Partitioning Partitioning is specified when creating a table and if set data will be automatically partitioned into separate tables. When inserting data a specific partition can be specified by setting the GoogleBigQueryConstants.PARTITION_DECORATOR header on the exchange. For more information about partitioning, see Creating partitioned tables . 35.11. Ensuring data consistency An insert id can be set on the exchange with the header GoogleBigQueryConstants.INSERT_ID or by specifying query parameter useAsInsertId . As an insert id need to be specified per row, the inserted the exchange header can't be used when the payload is a list. If the payload is a list then the GoogleBigQueryConstants.INSERT_ID will be ignored. In that case use the query parameter useAsInsertId . For more information, see Data consistency 35.12. Spring Boot Auto-Configuration The component supports 11 options, which are listed below. Name Description Default Type camel.component.google-bigquery-sql.autowired-enabled Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc. true Boolean camel.component.google-bigquery-sql.connection-factory ConnectionFactory to obtain connection to Bigquery Service. If not provided the default one will be used. The option is a org.apache.camel.component.google.bigquery.GoogleBigQueryConnectionFactory type. GoogleBigQueryConnectionFactory camel.component.google-bigquery-sql.enabled Whether to enable auto configuration of the google-bigquery-sql component. This is enabled by default. Boolean camel.component.google-bigquery-sql.lazy-start-producer Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel's routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing. false Boolean camel.component.google-bigquery-sql.project-id Google Cloud Project Id. String camel.component.google-bigquery.autowired-enabled Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc. true Boolean camel.component.google-bigquery.connection-factory ConnectionFactory to obtain connection to Bigquery Service. If not provided the default one will be used. The option is a org.apache.camel.component.google.bigquery.GoogleBigQueryConnectionFactory type. GoogleBigQueryConnectionFactory camel.component.google-bigquery.dataset-id BigQuery Dataset Id. String camel.component.google-bigquery.enabled Whether to enable auto configuration of the google-bigquery component. This is enabled by default. Boolean camel.component.google-bigquery.lazy-start-producer Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel's routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing. false Boolean camel.component.google-bigquery.project-id Google Cloud Project Id. String

Commands:
<dependency> <groupId>org.apache.camel.springboot</groupId> <artifactId>camel-google-bigquery-starter</artifactId> </dependency>
String endpoint = "google-bigquery://project-id:datasetId[:tableId]?serviceAccountKey=/home/user/Downloads/my-key.json";
String endpoint = "google-bigquery://project-id:datasetId[:tableId]?serviceAccountKey=base64:<base64 encoded>";
export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/my-key.json"
google-bigquery://project-id:datasetId[:tableId]?[options]
google-bigquery:projectId:datasetId:tableId
from("direct:start") .header(GoogleBigQueryConstants.TABLE_SUFFIX, "_USD{date:now:yyyyMMdd}") .to("google-bigquery:sampleDataset:sampleTable")