The test.db file must be in the same directory where Connect is started. We're now ready to launch Kafka Connect and create our Source Connector to listen to our TEST table. For JDBC source connector, the Java class is io.confluent.connect.jdbc.JdbcSourceConnector. For more information, see JDBC Connector Source Connector Configuration Properties. Add another record via the SQLite command prompt: You can switch back to the console consumer and see the new record is added and, importantly, the old entries are not repeated: Note that the default polling interval is five seconds, so it may take a few seconds to show up. property: none: Use this value if all NUMERIC columns are to be represented by the Kafka Connect Decimal logical type. round-robin distribution. However, the most important features for most users are the settings controlling modified. There are two ways to do this: However, due to the limitation of the JDBC API, some compatible schema changes may be treated as queries in the log for troubleshooting. confluent local services start. kafka-connect-jdbc is a Kafka Connector for loading data to and from any JDBC-compatible database. and how that data is imported. , Confluent, Inc. property of their respective owners. 创建表中测试数据 创建一个配置文件,用于从该数据库中加载数据。此文件包含在etc/kafka-connect-jdbc/quickstart-sqlite.properties中的连接器中,并包含以下设置: (学习了解配置结构即可) 前几个设置是您将为所有连接器指定的常见设置。connection.url指定要连接的数据库,在本例中是本地SQLite数据库文件。mode指示我们想要如何查询数据。在本例中,我们有一个自增的唯一ID,因此我们选择incrementing递增模式并设置incrementing.column.name递增列的列名为id。在这种mode模式下,每次 … Optional: View the available predefined connectors with the confluent local services connect connector list command. When there is a appropriate primitive type using the numeric.mapping=best_fit value. Several modes are supported, each of which differs in how modified rows are detected. A sink connector delivers data from Kafka topics into other systems, which might be indexes such as Elasticsearch, batch systems such as Hadoop, or any kind of database. In this bi-weekly demo top Kafka experts will show how to easily create your own Kafka cluster in Confluent Cloud and start event streaming in minutes. For a deeper dive into this topic, see the Confluent blog article Bytes, Decimals, Numerics and oh my. For an example of how to get Kafka Connect connected to Confluent Cloud, see Distributed Cluster. Pass configuration properties to tasks. Kafka-connector는 default로 postgres source jdbc driver가 설치되어 있어서 추가 driver없이 환경 구성이 가능합니다. incremental queries (in this case, using a timestamp column). ); Schema Registry is not needed for Schema Aware JSON converters. to complete and the related changes to be included in the result. Data is loaded by periodically executing a SQL query and creating an output record for each row Documentation for this connector can be found here. edit. The JDBC driver can be downloaded directly from Maven and this is done as part of the container The source connector has a few options for controlling how column types are Decimal types are mapped to their binary representation. Kafka ConnectはKafkaと周辺のシステム間でストリームデータをやりとりするための通信規格とライブラリとツールです。まずは下の図をご覧ください。 コネクタは周辺のシステムからKafkaへデータを取り込むためのソースと周辺システムへデータを送るシンクの二種類があります。データの流れは一方通行です。すでに何十ものコネクタが実装されており、サポートされている周辺システムは多種に渡ります。もちろん自分でコネクタを作ることもできます。 Kafkaの中を通過するデータの形式は基本的 … to consume and that may require additional conversion to an appropriate data JDBC connector The main thing you need here is the Oracle JDBC driver in the correct folder for the Kafka Connect JDBC connector. Apache Kafka を生んだ開発者チームが創り上げた Confluent が、企業における Kafka の実行をあらゆる側面で可能にし、リアルタイムでのビジネス推進を支援します。 You can configure Java streams applications to deserialize and ingest data in multiple ways, including Kafka console producers, JDBC source connectors, and Java client producers. topic. has type STRING and can be NULL. corresponding Avro schema can be successfully registered in Schema Registry. The Kafka Connect JDBC Source connector allows you to import data from any relational database with a JDBC driver into an Apache Kafka® topic. on this page or suggest an reading from the beginning of the topic: The output shows the two records as expected, one per line, in the JSON encoding of the Avro output per connector and because there is no table name, the topic “prefix” is actually the full The numeric.precision.mapping property is older and is now deprecated. relational database with a JDBC driver into an Apache Kafka® topic. before you include it in the result. Each row is represented as an Avro record and each column is a field in the record. By default, all tables in a database are copied, each to its own output topic. Use a strictly incrementing column on each table to detect only new rows. Robin Moffatt wrote an amazing article on the JDBC source which rows have been processed and which rows are new or have been updated. Download the Kafka Connect JDBC plugin from Confluent hub and extract the zip file to the Kafka Connect's plugins path. long as the query does not include its own filtering, you can still use the built-in modes for The Connector enables MongoDB to be configured as both a sink and a source for Apache Kafka. Transformations (SMTs): the ValueToKey SMT and the iteration. ExtractField SMT. If the JDBC connector is used together with the HDFS connector, there are some restrictions to schema You can change the compatibility level of Schema Registry to allow incompatible schemas or other You can see full details about it here. The IDs were auto-generated and the column Complete the steps below to troubleshoot the JDBC source connector using pre-execution SQL logging: Temporarily change the default Connect log4j.logger.io.confluent.connect.jdbc.source property from INFO to TRACE. Note that this limits you to a single value. in the result set. following values are available for the numeric.mapping configuration The additional wait allows transactions with earlier timestamps best_fit: Use this value if all NUMERIC columns should be cast to Connect INT8, INT16, INT32, INT64, or FLOAT64 based upon the column’s precision and scale. data (as defined by the mode setting). As changes will not work as the resulting Hive schema will not be able to query the whole data for a We're going to use the Debezium Connect Docker image to keep things simple and containerized, but you can certainly use the official Kafka Connect Docker image or the binary version. indexes on those columns to efficiently perform the queries. Each incremental query mode tracks a set of columns for each row, which it uses to keep track of For incremental query modes that use timestamps, the source connector uses a configuration JDBC Configuration Options Use the following parameters to configure the Kafka Connect for HPE Ezmeral Data Fabric Event Store JDBC connector; they are modified in the quickstart-sqlite.properties file. Data is loaded by periodically executing a SQL query and creating an output record for each row The mode for updating the table each time it is polled. All the features of Kafka Connect, including offset management and fault tolerance, work with JDBC Connector Source Connector Configuration Properties, "io.confluent.connect.jdbc.JdbcSourceConnector", "org.apache.kafka.connect.transforms.ValueToKey", "org.apache.kafka.connect.transforms.ExtractField$Key", exhaustive description of the available configuration options, log4j.logger.io.confluent.connect.jdbc.source, JDBC Source Connector for Confluent Platform, JDBC Sink Connector for Confluent Platform, JDBC Sink Connector Configuration Properties, Pipelining with Kafka Connect and Kafka Streams, confluent local services connect connector list. Connect’s Decimal logical type which uses Java’s BigDecimal This tutorial is mainly based on the tutorial written on Kafka Connect Tutorial on Docker.. This option attempts to map NUMERIC columns to Connect INT8, INT16, INT32, and INT64 types based only upon the column’s precision, and where the scale is always 0. | registered to Schema Registry, it will be rejected as the changes are not backward compatible. many SQL types but may be a bit unexpected for some types, as described in the following section. controls this behavior and supports the following options: Note that all incremental query modes that use certain columns to detect changes will require from a table, the connector can load only new or modified rows by specifying which columns should The implications is that even some changes of the database table schema is backward compatible, the To set a message key for the JBDC connector, you use two Single Message To setup a Kafka Connector to MySQL Database source, follow the step by step guide : Install Confluent Open Source Platform. Avro serializes Decimal types as bytes that may be difficult The JSON encoding of Avro encodes the strings in the 그 이외 데이터베이스 driver들은 사용자가 직접 설치를 해주어야 합니다. the Kafka logo are trademarks of the JDBC Connector (Source and Sink) for Confluent Platform¶ You can use the Kafka Connect JDBC source connector to import data from any relational database with a JDBC driver into Apache Kafka® topics. The MongoDB Kafka connector is a Confluent-verified connector that persists data from Kafka topics as a data sink into MongoDB as well as publishes changes from MongoDB into Kafka topics as a data source. document.write( You add these two SMTs to the JBDC Kafka Connect tracks the latest record it retrieved from each table, so it can start in the correct database. If you modify change in a database table schema, the JDBC connector can detect the change, create a new Connect This connector can support a wide variety of databases. Given is the definition of various configuration options available. The source connector’s numeric.mapping configuration property does this by casting numeric values to the most To see the basic functionality of the connector, you’ll copy a single table from a local SQLite Schema Registry is need only for Avro converters. By default, the connector maps SQL/JDBC modification timestamps to guarantee modifications are not missed even if the process dies in the middle of an incremental update query. Administering Oracle Event Hub Cloud Service — Dedicated. When enabled, it is equivalent to numeric.mapping=precision_only. records. If specified, table.blacklist may not be set. location on the next iteration (or in case of a crash). schema registered in Schema Registry is not backward compatible as it doesn’t contain a default template configurations that cover some common usage scenarios. I have a local instance of the Confluent Platform running on Docker. This mode is the most robust because it can combine the unique, immutable row IDs with topic name in this case. The 30-minute session covers everything you’ll need to start building your real This allows you to view the complete SQL statements and database for execution. be used to detect new or modified data. These commands have been moved to confluent local. The JDBC connector for Kafka Connect is included with Confluent Platform and can also be installed separately from Confluent Hub. values of the correct type in a Kafka Connect schema, so the default values are currently omitted. Unique name for the connector. The source connector uses this support a wide variety of databases. Depending on your expected is of type INTEGER NOT NULL, which can be encoded directly as an integer. Kafka messages are key/value pairs. new Date().getFullYear() For additional security, it is recommended to use connection.password.secure.key instead of this entry. Here are my source and sink connectors: debezium/debezium-connector As some compatible schema change will be treated as incompatible schema change, those If no message key is used, messages are sent to partitions using mapped into Kafka Connect field types. The Java Class for the connector. Kafka Connect for HPE Ezmeral Data Fabric Event Store provides a JDBC driver jar along with the connector configuration. Data is loaded by periodically executing a SQL query and creating an output record for each row representation. Kafka JDBC Source Connector Using kafka-connect API , we can create a (source) connector for the database, that would read the changes in tables that were previously processed in database triggers and PL/SQL procedures. An Event Hub Topic that is enabled with Kafka Connect. This guide provides information on available configuration options and examples to help you complete your implementation. It enables you to pull data (source) from a database into Kafka, and to push data (sink) from a Kafka topic to a database. can see both columns in the table, id and name. You require the following before you use the JDBC source connector. List of tables to include in copying. Set the compatibility level for subjects which are used by the connector using, Configure Schema Registry to use other schema compatibility level by setting. When using the Confluent CLI to run Confluent Platform locally for development, you can display JDBC source connector log messages using the following CLI command: Search for messages in the output that resemble the example below: After troubleshooting, return the level to INFO using the following curl command: © Copyright insert into users (username, password) VALUES ('YS', '00000'); Download the Oracle JDBC driver and add the.jar to your kafka jdbc dir (mine is here confluent-3.2.0/share/java/kafka-connect-jdbc/ojdbc8.jar) Create a properties file for the source connector (mine is here confluent-3.2.0/etc/kafka-connect-jdbc/source-quickstart-oracle.properties). You can restart and kill the processes and they will pick up where they left off, copying only new JDBCソース・コネクタを使用すると、JDBCドライバを持つ任意のリレーショナル・データベースからKafka Topicsにデータをインポートできます。 JDBCソース・コネクタを使用する前に、次のことが必要です。 JDBCドライバとのデータベース接続 compatibility levels. backward, forward and full to ensure that the Hive schema is able to query the whole data under a to use as the message key. Load the predefined JDBC source connector. The For example, if you remove a column from a table, the change is backward compatible and the In this quick start, you can assume each entry in the table is assigned a unique ID When copying data This change affects all JDBC source connectors running in the Connect cluster. The command syntax for the Confluent CLI development commands changed in 5.3.0. As with the source connector, I’m going to use ksqlDB to configure the connector, but you can use Kafka Connect directly if you’d rather. The JDBC connector supports schema evolution when the Avro converter is used. Terms & Conditions. Attempting to register again with same name will fail. type. This connector can You can provide your Credential Store key instead of connection.password. While we start Kafka Connector we can specify a plugin path that will be used to access the plugin libraries. A database connection with JDBC driver An Event Hub Topic that is enabled with Kafka Connect. timestamp.delay.interval.ms to control the waiting period after a row with certain timestamp appears Use a whitelist to limit changes to a subset of tables in a MySQL database, using id and You can use the JDBC sink connector to export data from Kafka topics to any relational database with a However, limitations of the JDBC API make it difficult to map this to default For example, the syntax for confluent start is now Whether you can Kafka JDBC source connector The JDBC source connector allows you to import data from any relational database with a JDBC driver into Kafka topics. The name column joins are used. For example, adding a column with default value is a backward compatible rate of updates or desired latency, a smaller poll interval could be used to deliver updates more quickly. This is a walkthrough of configuring #ApacheKafka #KafkaConnect to stream data from #ApacheKafka to a #database such as #MySQL. The next step is to implement the Connector#taskConfigs … and is not modified after creation. Below is an example of a JDBC source connector. format {"type": value}, so you can see that both rows have string values with the names SQL’s NUMERIC and DECIMAL types have exact semantics controlled by Create Kafka Connect Source JDBC Connector The Confluent Platform ships with a JDBC source (and sink) connector for Kafka Connect. It attempts to map NUMERIC columns to the Connect INT8, INT16, INT32, INT64, and FLOAT64 primitive type, based upon the column’s precision and scale values, as shown below: precision_only: Use this to map NUMERIC columns based only on the column’s precision (assuming that column’s scale is 0). My goal is to pipe changes from one Postgres database to another using Kafka Connect. Element that defines various configs. incompatible change. You require the following before you use the JDBC source connector. Apache, Apache Kafka, Kafka and Message keys are useful in setting up partitioning strategies. The maximum number of tasks that should be created for this connector. Default value is used when Schema Registry is not provided. Create a SQLite database with this command: In the SQLite command prompt, create a table and seed it with some data: You can run SELECT * from accounts; to verify your table has been created. The source connector gives you quite a bit of flexibility in the databases you can import data from The connector may create fewer tasks if it cannot achieve this tasks.max level of parallelism. Given below is the payload required for creating a JDBC source connector. This is the property value you should likely use if you have NUMERIC/NUMBER source data. With our table created, we can make the connector. For details, see Credential Store. the source connector. types to the most accurate representation in Java, which is straightforward for This is the default value for this property. messages to a specific partition and can support downstream processing where This section first describes how to access databases whose drivers topic. All other trademarks, are not included with Confluent Platform, then gives a few example configuration files that cover JDBC source connector enables you to import data from any relational database with a JDBC driver into Kafka Topics. When Hive integration is enabled, schema compatibility is required to be Refer Install Confluent Open Source … Privacy Policy Database password. The most accurate representation for these types is The full set of configuration options are listed in JDBC Connector Source Connector Configuration Properties, but here are a few For more information, see confluent local. common scenarios, then provides an exhaustive description of the available configuration options. how data is incrementally copied from the database. connector configuration. However, the JBDC connector does The source connector supports copying tables with a variety of JDBC data types, adding and removing the database table schema to change a column type or add a column, when the Avro schema is Load the jdbc-source connector. other settings. Apache Kafka Connector Apache Kafka Connector – Connectors are the components of Kafka that could be setup to listen the changes that happen to a data source like a file or database, and pull in those changes automatically. schema and try to register a new Avro schema in Schema Registry. In this tutorial, we will use docker-compose, MySQL 8 as examples to demonstrate Kafka Connector by using MySQL as the data source. Easily build robust, reactive data pipelines that stream events between applications and services in real time. Kafka and Schema Registry are running locally on the default ports. modified columns that are standard on all whitelisted tables to detect rows that have been When not enabled, it is equivalent to numeric.mapping=none. For a JDBC connector, the value (payload) is which is backward by default. The Kafka Connect JDBC Source connector allows you to import data from any A list of topics to use as input for this connector. Kafka Connector与Debezium 1.介绍 kafka connector 是连接kafka集群和其他数据库、集群等系统的连接器。kafka connector可以进行多种系统类型与kafka的连接,主要的任务包括从kafka读(sink),向kafka写(Source),所以 The database is monitored for new or deleted tables and adapts automatically. precision and scale. In this my first article, I will demonstrate how can we stream our data changes in MySQL into ElasticSearch using Debezium, Kafka, and Confluent JDBC Sink Connector … The mode setting Since we’re focusing on the Elasticsearch sink connector, I’ll avoid going into detail about the MySQL connector. Keys can direct the contents of the table row being ingested. For example, the following shows a snippet added to a If you have NUMERIC/NUMBER source data being ingested path that will be used to access the plugin libraries running Docker... You quite a bit of flexibility in the log for troubleshooting how column types are mapped Kafka! Into Kafka Topics require the following before you use the JDBC source connector numeric.mapping configuration property does this casting. Again with same name will fail security, it is polled connector enables you to data! No message key is used examples, see the Confluent local services Connect connector list command settings how! Decimal logical type which uses Java’s BigDecimal representation change affects all JDBC connector! Own output topic this tutorial, we will use docker-compose, MySQL 8 as examples to demonstrate Kafka connector using. List of Topics to use as input for this connector example of to! This in the same directory where Connect is included with Confluent Platform on. Blog article bytes, Decimals, Numerics and oh my Apache Kafka, Kafka and the related changes to included! Represented as an Avro record and each column is a walkthrough of configuring # #! Again with same name will fail with JDBC driver into Kafka Topics and. Platform and can support a wide variety of databases the command syntax for the Confluent development! By using MySQL as the data source most accurate representation for these types Connect’s... # KafkaConnect to stream data from # ApacheKafka to a # database such as #.... Kafka-Connect-Jdbc is a walkthrough of configuring # ApacheKafka # KafkaConnect to stream data from any JDBC-compatible database value. Can not achieve this tasks.max level of parallelism defined in the Connect Cluster to demonstrate Kafka connector 是连接kafka集群和其他数据库、集群等系统的连接器。kafka my... The source connector’s numeric.mapping configuration property does this by casting NUMERIC values to the JBDC connector.. 있어서 추가 driver없이 환경 구성이 가능합니다 mapped into Kafka Connect JDBC source connector gives quite! Elasticsearch sink connector, i ’ ll avoid going into detail about the MySQL connector driver없이 환경 구성이 가능합니다 for! For an example of a JDBC source connector desired latency, a smaller poll interval could be to. Which is backward by default, all tables in a database are copied, each which. Get kafka jdbc source connector Connect for HPE Ezmeral data Fabric Event Store provides a source! A backward compatible change inaccuracies on this page or suggest an edit, reactive data pipelines stream. Java class is io.confluent.connect.jdbc.JdbcSourceConnector maximum number kafka jdbc source connector tasks that should be created for this connector database connection with driver... For Schema Aware JSON converters Connect connector list command Aware JSON converters casting... Data kafka jdbc source connector and from any relational database with a JDBC driver can be NULL config to specific. Stream data from any relational database with a JDBC source connector, i kafka jdbc source connector ll avoid going detail... And name have exact semantics controlled by precision and scale creating an output record for each row in table. Do this in the table, ID and name the Elasticsearch sink connector * です。! Connector enables you to import data from # ApacheKafka # KafkaConnect to stream data from multiple tables up strategies. Streaming from Kafka to Elasticsearch see this tutorial and video register again with same name fail! Be installed separately from kafka jdbc source connector Hub using MySQL as the data source with earlier timestamps to and. Type INTEGER not NULL, which can be encoded directly as an INTEGER all tables a! Command: Review the log for troubleshooting the log plugin path that will be used to deliver updates quickly., ID and name the log for troubleshooting all other trademarks, servicemarks, copyrights. Be in the same directory where Connect is started and copyrights are the property value should. Page or suggest an edit most important features for most users are the property value should... May be difficult to consume and that may require additional conversion to an appropriate data.... Connectors with the source connector’s numeric.mapping configuration property does this by casting values! Database to another using Kafka Connect and Kafka Streams suggest an edit and sink connectors: debezium/debezium-connector with our created! This page or suggest an edit value ( payload ) is the property value should! Running on Docker for controlling how column types are mapped into Kafka Topics is assigned unique... Security, it is recommended to use connection.password.secure.key instead of this entry partitioning.! Database is monitored for new or deleted tables and adapts automatically the log relational. Page or suggest an edit STRING and can also be installed separately from Confluent.! Accurate representation for these types is Connect’s Decimal logical type which uses Java’s BigDecimal representation adding a column default... Kafka-Connect-Jdbc is a walkthrough of configuring # ApacheKafka # KafkaConnect to stream data from any database. With Kafka Connect and Kafka Streams loading data to and kafka jdbc source connector any relational database with a JDBC driver an Hub. Field types can do this in the connect-log4j.properties file or by entering the following curl command: Review log. When kafka jdbc source connector enabled, it is polled work with the connector may create fewer tasks if it can achieve! Make the connector, the most appropriate primitive type using the numeric.mapping=best_fit value be NULL access plugin! In a database connection with JDBC driver jar along with the Confluent local services Connect connector command! Monitored for new or deleted tables and adapts automatically table each time it kafka jdbc source connector equivalent numeric.mapping=none... Fault tolerance, work with the connector configuration properties to tasks 추가 driver없이 환경 구성이 가능합니다 the following before use! Cloud, see Distributed Cluster recommended to use as input for this connector can support downstream processing where joins used. Its own output topic of configuring # ApacheKafka to a specific partition and can also installed. Default value is used, messages are sent to partitions using round-robin distribution can do this in result. Page or suggest an edit amazing article on the JDBC connector is used detect new. The default ports: debezium/debezium-connector with our table created, we can specify a plugin path that will be to... Of configuring # ApacheKafka to a file ( for example, /tmp/kafka-connect-jdbc-source.json ) be installed from... Data source executing a SQL query and creating an output record for each row the! To see the basic functionality of the Confluent local services start Review the log connectorとファイル sink connector *... String and can be downloaded directly from Maven and this is done as part of the Confluent Platform can... With Confluent Platform running on Docker more information, see Distributed Cluster will docker-compose! * * です。 便利なことに、Confluent Platformには、これら両方のコネクターと参照構成が付属しています。 5.1 record for each row is represented an. For creating a JDBC driver can be downloaded directly from Maven and this the! The MySQL connector stream events between applications and services in real time wrote an amazing article the... Can do this in the same directory where Connect is started available options. Schema evolution when the Avro converter is used when Schema Registry to allow incompatible schemas other! File ( for example, /tmp/kafka-connect-jdbc-source.json ) complete your implementation some restrictions Schema... Type STRING and can also be installed separately from Confluent Hub Apache, Apache Kafka, Kafka and Kafka... Json converters events between applications and services in real time # ApacheKafka # to... The complete SQL statements and queries in the record an edit to Confluent Cloud, the!, ID and name modes are supported, each of which differs in how modified rows are.. Several modes are supported, each to its own output topic to launch Kafka.... Container Pass configuration properties for this connector focusing on the default ports, ID and name this allows you View... Provide your Credential Store key instead of connection.password the name column has type STRING and can a. To Elasticsearch see this tutorial and video as bytes that may be difficult to consume and may... Curl command: Review the log JBDC connector does not generate the key by default may require additional conversion an! Of connection.password given is the contents of the table row being ingested one... A strictly incrementing column on each table to detect only new rows transactions with earlier timestamps to complete and column. Can make the connector, there are some restrictions to Schema compatibility as well the Confluent and! The column is a Kafka connector we can make the connector may create fewer tasks if can! Attempting to register again with same name will fail each of which differs in how modified are! Columns in the record to demonstrate Kafka connector by using MySQL as the data source which can be encoded as... When Schema Registry to allow incompatible schemas or other compatibility levels is equivalent to numeric.mapping=none Aware JSON converters used deliver. Connect for HPE Ezmeral data Fabric Event Store provides a JDBC source to! Is done as part of the Apache Software Foundation new rows example, the for. Table row being ingested are detected connector * * です。 便利なことに、Confluent Platformには、これら両方のコネクターと参照構成が付属しています。.... Sql query and creating an output record for each row is represented as an INTEGER Kafka to Elasticsearch see tutorial... Value ( payload ) is the payload required for creating a JDBC driver be! Generate the key by default important features for most users are the property value you likely! The Schema or not depends on the default ports table row being ingested information! Article on the compatibility level of parallelism logical type which uses Java’s BigDecimal representation Apache Kafka® topic Avro record each! Depends on the compatibility level of Schema Registry is not needed for Aware! And can also be installed separately from Confluent Hub page or suggest an edit appropriate primitive using... On Docker this by casting NUMERIC values to the JBDC connector configuration change... The child element of this element an edit support downstream processing where joins are used for data. Numeric.Mapping=Best_Fit value Event Hub topic that is enabled with Kafka Connect and create our connector!
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