Como sabéis el El DataFlow de la plataforma está construido sobre el software open-source Streamsets Data Collector y por tanto la plataforma permite usar todos los componentes integrados en Streamsets, además de los componentes propios de la plataforma integrados en el DataFlow.
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Estos conectores se dividen en cuatro tipos:
La plataforma incluye cuatro tipos de componentes:
- onesait
Onesait Platform Origin: permite conectarse a la plataforma como origen (How to use Onesait origin stage
onesait Onesait Platform Lookup: para mergear datos de consultas en la plataforma con otro origen (How to use Onesait lookup processor)
- 2 onesait
Onesait Platform Destination: para volcar datos en la plataforma con un INSERT o un UPDATE (How to use Onesait insert destination & How to use Onesait update destination)
Además de estos existen estos componentes:
ORIGINS | PROCESSORS | DESTINATIONS | EXECUTORS |
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Standalone PipelinesAmazon S3 - Reads objects from Amazon S3. Creates multiple threads to enable parallel processing in a multithreaded pipeline. Amazon SQS Consumer - Reads data from queues in Amazon Simple Queue Services (SQS). Creates multiple threads to enable parallel processing in a multithreaded pipeline. Azure IoT/Event Hub Consumer - Reads data from Microsoft Azure Event Hub. Creates multiple threads to enable parallel processing in a multithreaded pipeline. CoAP Server - Listens on a CoAP endpoint and processes the contents of all authorized CoAP requests. Creates multiple threads to enable parallel processing in a multithreaded pipeline. Directory - Reads fully-written files from a directory. Creates multiple threads to enable parallel processing in a multithreaded pipeline. Elasticsearch - Reads data from an Elasticsearch cluster. Creates multiple threads to enable parallel processing in a multithreaded pipeline. File Tail - Reads lines of data from an active file after reading related archived files in the directory. Google BigQuery - Executes a query job and reads the result from Google BigQuery. Google Cloud Storage - Reads fully written objects from Google Cloud Storage. Google Pub/Sub Subscriber - Consumes messages from a Google Pub/Sub subscription. Creates multiple threads to enable parallel processing in a multithreaded pipeline. Hadoop FS Standalone - Reads fully-written files from HDFS, Azure Data Lake Storage, or Azure HDInsight. Creates multiple threads to enable parallel processing in a multithreaded pipeline. HTTP Client - Reads data from a streaming HTTP resource URL. HTTP Server - Listens on an HTTP endpoint and processes the contents of all authorized HTTP POST and PUT requests. Creates multiple threads to enable parallel processing in a multithreaded pipeline. HTTP to Kafka (Deprecated) - Listens on a HTTP endpoint and writes the contents of all authorized HTTP POST requests directly to Kafka. JDBC Multitable Consumer - Reads database data from multiple tables through a JDBC connection. Creates multiple threads to enable parallel processing in a multithreaded pipeline. JDBC Query Consumer - Reads database data using a user-defined SQL query through a JDBC connection. JMS Consumer - Reads messages from JMS. Kafka Consumer - Reads messages from a single Kafka topic. Kafka Multitopic Consumer - Reads messages from multiple Kafka topics. Creates multiple threads to enable parallel processing in a multithreaded pipeline. Kinesis Consumer - Reads data from Kinesis Streams. Creates multiple threads to enable parallel processing in a multithreaded pipeline. MapR DB CDC - Reads changed MapR DB data that has been written to MapR Streams. Creates multiple threads to enable parallel processing in a multithreaded pipeline. MapR DB JSON - Reads JSON documents from MapR DB JSON tables. MapR FS - Reads files from MapR FS. MapR FS Standalone - Reads fully-written files from MapR FS. Creates multiple threads to enable parallel processing in a multithreaded pipeline. MapR Multitopic Streams Consumer - Reads messages from multiple MapR Streams topics. Creates multiple threads to enable parallel processing in a multithreaded pipeline. MapR Streams Consumer - Reads messages from MapR Streams. MongoDB - Reads documents from MongoDB. MongoDB Oplog - Reads entries from a MongoDB Oplog. MQTT Subscriber - Subscribes to a topic on an MQTT broker to read messages from the broker. MySQL Binary Log - Reads MySQL binary logs to generate change data capture records. Omniture - Reads web usage reports from the Omniture reporting API. OPC UA Client - Reads data from a OPC UA server. Oracle CDC Client - Reads LogMiner redo logs to generate change data capture records. PostgreSQL CDC Client - Reads PostgreSQL WAL data to generate change data capture records. Pulsar Consumer - Reads messages from Apache Pulsar topics. RabbitMQ Consumer - Reads messages from RabbitMQ. Redis Consumer - Reads messages from Redis. REST Service -
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Listens Listens on an HTTP endpoint, parses the contents of all authorized requests, and sends responses back to the originating REST API.Creates multiple threads to enable parallel processing in a multithreaded pipeline.
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Use Use only in microservice pipelines. Salesforce - Reads data from Salesforce. SDC RPC - Reads data from an SDC RPC destination in an SDC RPC pipeline. SDC RPC to Kafka (Deprecated) - Reads data from an SDC RPC destination in an SDC RPC pipeline and writes it to Kafka. SFTP/FTP Client - Reads files from an SFTP or FTP server. SQL Server CDC Client - Reads data from Microsoft SQL Server CDC tables. Creates multiple threads to enable parallel processing in a multithreaded pipeline. SQL Server Change Tracking - Reads data from Microsoft SQL Server change tracking tables and generates the latest version of each record. Creates multiple threads to enable parallel processing in a multithreaded pipeline. TCP Server - Listens at the specified ports and processes incoming data over TCP/IP connections. Creates multiple threads to enable parallel processing in a multithreaded pipeline. Teradata Consumer - Reads data from Teradata Database tables through a JDBC connection. Creates multiple threads to enable parallel processing in a multithreaded pipeline. UDP Multithreaded Source - Reads messages from one or more UDP ports. Creates multiple threads to enable parallel processing in a multithreaded pipeline. UDP Source - Reads messages from one or more UDP ports. UDP to Kafka (Deprecated) - Reads messages from one or more UDP ports and writes the data to Kafka. WebSocket Client -
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Reads Listens In cluster pipelines, you can use the following origins: Hadoop FS - Reads data from HDFS, Amazon S3, or other file systems using the Hadoop FileSystem interface. Kafka Consumer - Reads messages from Kafka. Use the cluster version of the origin. MapR FS - Reads data from MapR FS. MapR Streams Consumer - Reads messages from MapR Streams.
Edge PipelinesIn edge pipelines, you can use the following origins: Directory - Reads fully-written files from a directory. File Tail - Reads lines of data from an active file after reading related archived files in the directory. gRPC Client - Reads data from a gRPC server. HTTP Client - Reads data from a streaming HTTP resource URL. HTTP Server - Listens on an HTTP endpoint and processes the contents of all authorized HTTP POST and PUT requests. MQTT Subscriber - Subscribes to a topic on an MQTT broker to read messages from the broker. System Metrics - Reads system metrics from the edge device
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where SDC Edge is where SDC Edge is installed. WebSocket Client - Reads data from a WebSocket server endpoint. Windows Event Log - Reads data from a Microsoft Windows event log located on a Windows machine.
Development OriginsTo help create or test pipelines, you can use the following development origins: | | Standalone Pipelines OnlyIn standalone pipelines, you can use the following destination: |
Origin Sends Use a Standalone or Cluster PipelinesIn standalone or cluster pipelines, you can use the following destinations: |
Writes Writes Writes Writes data to Kinesis Streams. Can send responses to a microservice origin in a microservice pipeline. KineticaDB - Writes data to a table in a Kinetica cluster. Kudu - Writes data to Kudu. Local FS - Writes data to a local file system. MapR DB - Writes data as text, binary data, or JSON strings to MapR DB binary tables. MapR DB JSON - Writes data as JSON documents to MapR DB JSON tables. MapR FS - Writes data to MapR FS. MapR Streams Producer - Writes data to MapR Streams. MemSQL Fast Loader - Writes data to MemSQL or MySQL. MongoDB - Writes data to MongoDB. MQTT Publisher - Publishes messages to a topic on an MQTT broker. Named Pipe - Writes data to a named pipe. Pulsar Producer - Writes data to Apache Pulsar topics. Redis - Writes data to Redis. Salesforce - Writes data to Salesforce. SDC RPC - Passes data to an SDC RPC origin in an SDC RPC pipeline. Snowflake - Writes data to tables in a Snowflake database. Solr - Writes data to a Solr node or cluster. Splunk - Writes data to Splunk. Syslog - Writes data to a Syslog server. To Error - Passes records to the pipeline for error handling. Trash - Removes records from the pipeline. WebSocket Client - Writes data to a WebSocket endpoint.
Edge PipelinesIn edge pipelines, you can use the following destinations: Development DestinationTo help create or test pipelines, you can use the following development destination:
| Amazon S3 - Creates new Amazon S3 objects for the specified content, copies objects within a bucket, or adds tags to existing Amazon S3 objects. Databricks - Starts the specified Databricks job upon receiving an event record. Email - Sends custom email to the configured recipients upon receiving an event. HDFS File Metadata - Changes file metadata, creates an empty file, or removes a file or directory in HDFS or a local file system upon receiving an event record. Hive Query - Runs user-defined Hive or Impala queries upon receiving an event record. JDBC Query - Runs a user-defined SQL query upon receiving an event record. MapR FS File Metadata - Changes file metadata, creates an empty file, or removes a file or directory in MapR FS upon receiving an event record. MapReduce - Starts the specified MapReduce job upon receiving an event record. Pipeline Finisher - Stops and transitions the pipeline to a Finished state upon receiving an event record. Shell - Executes a shell script upon receiving an event record. Spark - Starts the specified Spark application upon receiving an event record.
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