connect-utils | Utility project for working with Kafka Connect | Stream Processing library
kandi X-RAY | connect-utils Summary
kandi X-RAY | connect-utils Summary
The purpose of this library is to aid with conversions from strings to the proper Kafka Connect data types. Hopefully this library can be usedful in reducing the amount of mind numbing string parsing code.
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Top functions reviewed by kandi - BETA
- Gets the value
- Converts a value into a Java type
- Convert a value to a decimal
- Sets the value
- Converts a value into a Java type
- Convert a value to a decimal
- Convert config definition to Markdown format
- Converts a list of rows into a markdown table
- Determines the lengths of a list of strings
- Converts a schema into a Markdown string
- Converts a list of rows into a markdown table
- Determines the lengths of a list of strings
- Converts the given value to the given value
- Extracts a value from a JSON representation
- Creates a trust manager factory based on the Algorithm type specified in the config
- Get the package version
- Returns a charset from a string
- Creates a new instance of the ValidEnum
- Ensures that the given value is valid
- Returns a string describing the allowed characters
- Gets the value of a specific topic
- Validator used to ensure that the KeyManagerFactory is valid
- Convert a date to a date
- Returns a list of enum values from a list
- Generate multiple task configurations
- Returns a list of charset for a list key
- Validator to ensure that the KeyStore type is valid
- Validator for validating SSL context
- Ensures the TrustManagerFactory is valid
- Applies the filter
connect-utils Key Features
connect-utils Examples and Code Snippets
// Setup the template once, maybe during start()
StructTemplate template = new StructTemplate();
template.addTemplate("test", "${stringField}");
//Apply the template.
Schema schema = SchemaBuilder.struct()
.name("TestStruct")
.field("stringF
Parser parser = new Parser();
Object value = parser.parseString(Schema.BOOLEAN_SCHEMA, "true");
Parser parser = new Parser();
Object value = parser.parseJson(Schema.BOOLEAN_SCHEMA, objectMapper.valueToTree(true));
Parser parser = new Parser();
Object value = parser.parseString(Schema.OPTIONAL_BOOLEAN_SCHEMA, null);
Parser parser = new Parser();
Object value = parser.parseJson(Schema.OPTIONAL_BOOLEAN_SCHEMA, null);
Community Discussions
Trending Discussions on connect-utils
QUESTION
I'm trying to use Confluent's Filter SMT with Debezium example unwrap-smt.
I added the following configs to source connector (Debezium MySQL) config:
...ANSWER
Answered 2020-Jul-14 at 22:47Please try to use this condition: $.payload.after[?(@.source == 2)]
QUESTION
I have my Dockerfile, which looks like:
...ANSWER
Answered 2018-Apr-02 at 04:44My guess is that the /etc/kafka-connect/jars
directory is declared as a VOLUME
in that image's Dockerfile.
And the output of the docker inspect
command confirms my guess:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install connect-utils
You can use connect-utils like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the connect-utils component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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