Kinesis Consumer

The Kinesis Consumer origin reads data from Amazon Kinesis Streams.

When you configure Kinesis Consumer, you specify the Amazon Web Services connection information for your Kinesis cluster and the data format of source data.

The Kinesis Consumer origin can use multiple threads to enable parallel processing of data from the cluster.

You can optionally use a proxy to connect to Kinesis Streams.

When necessary, you can reset the origin for Kinesis Consumer pipelines, but be sure to review the requirements and guidelines before doing so.

Multithreaded Processing

The Kinesis Consumer origin can perform parallel processing and enables the creation of a multithreaded pipeline. The origin uses multiple concurrent threads based on the Max Threads property.

When you start the pipeline, each thread connects to the origin system and creates a batch of data, and passes the batch to an available pipeline runner. A pipeline runner is a sourceless pipeline instance - an instance of the pipeline that includes all of the processors and destinations in the pipeline and performs all pipeline processing after the origin.

Each pipeline runner processes one batch at a time, just like a pipeline that runs on a single thread. When the flow of data slows, the pipeline runners wait idly until they are needed.

Multithreaded pipelines preserve the order of records within each batch, just like a single-threaded pipeline. But since batches are processed by different pipeline instances, the order that batches are written to destinations is not ensured.

For example, say you set the Max Threads property to 5. When you start the pipeline, the origin creates five threads, and by default Data Collector creates a matching number of pipeline runners. Upon receiving data, the origin passes a batch to each of the pipeline runners for processing.

Each pipeline runner performs the processing associated with the rest of the pipeline. After a batch is written to pipeline destinations, the pipeline runner becomes available for another batch of data. Each batch is processed and written as quickly as possible, independent from other batches processed by other pipeline runners, so batches may be written differently from the read-order.

At any given moment, the five pipeline runners can each process a batch, so this multithreaded pipeline processes up to five batches at a time. When incoming data slows, the pipeline runners sit idle, available for use as soon as the data flow increases.

For more information about multithreaded pipelines, see Multithreaded Pipeline Overview.

AWS Credentials

When Data Collector reads data from a Kinesis Consumer origin, it must pass credentials to Amazon Web Services.

Use one of the following methods to pass AWS credentials:

IAM roles
When Data Collector runs on an Amazon EC2 instance, you can use the AWS Management Console to configure an IAM role for the EC2 instance. Data Collector uses the IAM instance profile credentials to automatically connect to AWS.
When you use IAM roles, you do not need to specify the Access Key ID and Secret Access Key properties in the origin.
For more information about assigning an IAM role to an EC2 instance, see the Amazon EC2 documentation.
AWS access key pairs
When Data Collector does not run on an Amazon EC2 instance or when the EC2 instance doesn’t have an IAM role, you must specify the Access Key ID and Secret Access Key properties in the origin.
Tip: To secure sensitive information such as access key pairs, you can use runtime resources or Hashicorp Vault secrets. For more information, see Using Runtime Resources or Accessing Hashicorp Vault Secrets.

Read Interval

You can configure the read interval for the Kinesis Consumer. The read interval determines how long Kinesis Consumer waits before requesting additional data from Kinesis shards. By default, the Kinesis Consumer waits one second between requests.

Adjust the read interval to adapt to the Kinesis data load. For example, you might reduce the wait time to enable higher throughput or increase the wait time when the stream of data slows.

Amazon recommends 1 second read intervals. The minimum read interval for the Kinesis Consumer is 200 milliseconds which enables polling five times a second. To increase total capacity, you can create additional shards for the cluster.

Resetting the Origin

You can reset the origin for Kinesis Consumer to process all available data instead of continuing from the last-saved offset. For general information about resetting the origin, see Resetting the Origin.

When you reset the origin for a Kinesis Consumer pipeline, Data Collector resets the origin for every Kinesis Consumer pipeline that uses the same application name.

Note the following requirement and guidelines before resetting the origin:
Requirement: Delete table permission on DynamoDB
Because Kinesis Streams stores offsets in DynamoDB, the IAM user or IAM role associated with the pipeline must have delete table permissions for tables matching the application name used in your pipelines, as follows:
  • If you use access keys to authenticate with Amazon Web Services, the IAM user associated with the access keys must have delete table permission.
  • If Data Collector uses instance profiles to authenticate, the IAM role for the EC2 instance must have delete permission.
Guidelines for resetting the origin
To reset the origin for a Kinesis Consumer pipeline, perform the following steps:
  1. Stop the pipeline that you want to reset.

    If other pipelines use the same application name, stop all of the pipelines.

  2. Reset the origin: In the pipeline canvas or from the Home page, click the More icon , then click Reset Origin.

    When working with multiple pipelines that use the same application name, you can use any of the pipelines. You only need to reset one of them.

  3. Start the pipeline with the reset origin.
  4. If you stopped any related pipelines, restart those pipelines.

For example, say you have three pipelines that read from Kinesis Streams using the Sales application name: NorthSales, CentralSales, and SouthSales. To reset the origin for all pipelines, stop all three pipelines, reset the origin for one of the pipelines, say SouthSales. Then restart the SouthSales pipeline, and then you can restart the other pipelines.

Data Formats

The Kinesis Consumer origin processes data differently based on the data format. Kinesis Consumer can process the following types of data:

Avro
Generates a record for every message.
You can use one of the following methods to specify the location of the Avro schema definition:
  • Message/Data Includes Schema - Use the schema in the message.
  • In Pipeline Configuration - Use the schema that you provide in the stage configuration.
  • Confluent Schema Registry - Retrieve the schema from Confluent Schema Registry. The Confluent Schema Registry is a distributed storage layer for Avro schemas. You can configure the origin to look up the schema in the Confluent Schema Registry by the schema ID embedded in the message or by the schema ID or subject specified in the stage configuration.
Using a schema in the stage configuration or retrieving a schema from the Confluent Schema Registry overrides any schema that might be included in the message and can improve performance.
Binary
Generates a record with a single byte array field at the root of the record.
When the data exceeds the user-defined maximum data size, the origin cannot process the data. Because the record is not created, the origin cannot pass the record to the pipeline to be written as an error record. Instead, the origin generates a stage error.
Delimited
Generates a record for each delimited line. You can use the following delimited format types:
  • Default CSV - File that includes comma-separated values. Ignores empty lines in the file.
  • RFC4180 CSV - Comma-separated file that strictly follows RFC4180 guidelines.
  • MS Excel CSV - Microsoft Excel comma-separated file.
  • MySQL CSV - MySQL comma separated file.
  • Tab-Separated Values - File that includes tab-separated values.
  • Custom - File that uses user-defined delimiter, escape, and quote characters.
You can use a list or list-map root field type for delimited data, optionally including the header information when available.
You can also replace a string constant with null values.
When a record exceeds the maximum record length defined for the origin, the origin processes the object based on the error handling configured for the stage.
For more information about the root field types, see Delimited Data Root Field Type.
JSON
Generates a record for each JSON object. You can process JSON files that include multiple JSON objects or a single JSON array.
When an object exceeds the maximum object length defined for the origin, the origin processes the object based on the error handling configured for the stage.
Log
Generates a record for every log line.
When a line exceeds the user-defined maximum line length, the origin truncates longer lines.
You can include the processed log line as a field in the record. If the log line is truncated, and you request the log line in the record, the origin includes the truncated line.
You can define the log format or type to be read.
Protobuf
Generates a record for every protobuf message. By default, the origin assumes messages contain multiple protobuf messages.
Protobuf messages must match the specified message type and be described in the descriptor file.
When the data for a record exceeds 1 MB, the origin cannot continue processing data in the message. The origin handles the message based on the stage error handling property and continues reading the next message.
For information about generating the descriptor file, see Protobuf Data Format Prerequisites.
SDC Record
Generates a record for every record. Use to process records generated by a Data Collector pipeline using the SDC Record data format.
For error records, the origin provides the original record as read from the origin in the original pipeline, as well as error information that you can use to correct the record.
When processing error records, the origin expects the error file names and contents as generated by the original pipeline.
Text
Generates a record for each line of text or for each section of text based on a custom delimiter.
When a line or section exceeds the maximum line length defined for the origin, the origin truncates it. The origin adds a boolean field named Truncated to indicate if the line was truncated.
For more information about processing text with a custom delimiter, see Text Data Format with Custom Delimiters.
XML
Generates records based on a user-defined delimiter element. Use an XML element directly under the root element or define a simplified XPath expression. If you do not define a delimiter element, the origin treats the XML file as a single record.
Generated records include XML attributes and namespace declarations as fields in the record by default. You can configure the stage to include them in the record as field attributes.
You can include XPath information for each parsed XML element and XML attribute in field attributes. This also places each namespace in an xmlns record header attribute.
Note: Field attributes and record header attributes are written to destination systems automatically only when you use the SDC RPC data format in destinations. For more information about working with field attributes and record header attributes, and how to include them in records, see Field Attributes and Record Header Attributes.
When a record exceeds the user-defined maximum record length, the origin skips the record and continues processing with the next record. It sends the skipped record to the pipeline for error handling.
Use the XML data format to process valid XML documents. For more information about XML processing, see XML Data Format and Data Processing.
Tip: If you want to process invalid XML documents, you can try using the text data format with custom delimiters. For more information, see Processing XML Data with Custom Delimiters.

Configuring a Kinesis Consumer Origin

Configure a Kinesis Consumer origin to read data from Amazon Kinesis Streams.

  1. In the Properties panel, on the General tab, configure the following properties:
    General Property Description
    Name Stage name.
    Description Optional description.
    On Record Error Error record handling for the stage:
    • Discard - Discards the record.
    • Send to Error - Sends the record to the pipeline for error handling.
    • Stop Pipeline - Stops the pipeline.
  2. On the Kinesis tab, configure the following properties:
    Kinesis Property  
    Access Key ID

    AWS access key ID.

    Required when not using IAM roles with IAM instance profile credentials.

    Secret Access Key

    AWS secret access key.

    Required when not using IAM roles with IAM instance profile credentials.

    Region Amazon Web Services region that hosts the Kinesis cluster.
    Endpoint Endpoint to connect to when you select Other for the region. Enter the endpoint name.
    Stream Name Kinesis stream name.
    Application Name Kinesis application name. The application name is the equivalent to a Kafka consumer group.
    Initial Position Determines where the data Data Collector starts reading. Use one of the following options:
    • LATEST - Reads messages that arrive after the pipeline starts.
    • TRIM_HORIZON - Reads all available messages.
    Max Batch Size (messages) Maximum amount of messages to include in a batch. Honors values up to the Data Collector maximum batch size.

    Default is 1000. The Data Collector default is 1000.

    Read Interval (ms) Milliseconds to wait before requesting additional data from a shard.

    Amazon recommends 1,000. The minimum is 200.

    Default is 1,000.

    Max Threads The number of threads that the origin generates and uses for multithreaded processing. Enter a positive integer or an expression that evaluates to a positive integer.
    By default, the origin uses the following expression to configure the property based on the number of available CPU cores on the Data Collector machine:
    ${runtime:availableProcessors()}

    This expression is evaluated when you start the pipeline.

  3. On the Advanced tab, optionally configure proxy information:
    Advanced Property Description
    Use Proxy Specifies whether to use a proxy to connect to Kinesis Streams.
    Proxy Host Proxy host.
    Proxy Port Proxy port.
    Proxy User User name for proxy credentials.
    Proxy Password Password for proxy credentials.
    Tip: To secure sensitive information such as usernames and passwords, you can use runtime resources or Hashicorp Vault secrets. For more information, see Using Runtime Resources or Accessing Hashicorp Vault Secrets.
  4. On the Data Format tab, configure the following property:
    Data Format Property Description
    Data Format Type of data to be read. Use one of the following options:
    • Avro
    • Binary
    • Delimited
    • JSON
    • Log
    • Protobuf
    • SDC Record
    • Text
    • XML
  5. For Avro data, on the Data Format tab, configure the following properties:
    Avro Property Description
    Avro Schema Location Location of the Avro schema definition to use when processing data:
    • Message/Data Includes Schema - Use the schema in the message.
    • In Pipeline Configuration - Use the schema provided in the stage configuration.
    • Confluent Schema Registry - Retrieve the schema from the Confluent Schema Registry.

    Using a schema in the stage configuration or in the Confluent Schema Registry can improve performance.

    Avro Schema Avro schema definition used to process the data. Overrides any existing schema definitions associated with the data.

    You can optionally use the runtime:loadResource function to use a schema definition stored in a runtime resource file.

    Schema Registry URLs Confluent Schema Registry URLs used to look up the schema. To add a URL, click Add. Use the following format to enter the URL:
    http://<host name>:<port number>
    Lookup Schema By Method used to look up the schema in the Confluent Schema Registry:
    • Subject - Look up the specified Avro schema subject.
    • Schema ID - Look up the specified Avro schema ID.
    • Embedded Schema ID - Look up the Avro schema ID embedded in each message.
    Overrides any existing schema definitions associated with the message.
    Schema Subject Avro schema subject to look up in the Confluent Schema Registry.

    If the specified subject has multiple schema versions, the origin uses the latest schema version for that subject. To use an older version, find the corresponding schema ID, and then set the Look Up Schema By property to Schema ID.

    Schema ID Avro schema ID to look up in the Confluent Schema Registry.
  6. For binary data, on the Data Format tab, configure the following properties:
    Binary Property Description
    Compression Format The compression format of the files:
    • None - Processes only uncompressed files.
    • Compressed File - Processes files compressed by the supported compression formats.
    • Archive - Processes files archived by the supported archive formats.
    • Compressed Archive - Processes files archived and compressed by the supported archive and compression formats.
    File Name Pattern within Compressed Directory File name pattern that represents the files to process within the compressed directory. You can use UNIX-style wildcards, such as an asterisk or question mark. For example, *.json.

    Default is *, which processes all files.

    Max Data Size (bytes) Maximum number of bytes in the message. Larger messages cannot be processed or written to error.
  7. For delimited data, on the Data Format tab, configure the following properties:
    Delimited Property Description
    Compression Format The compression format of the files:
    • None - Processes only uncompressed files.
    • Compressed File - Processes files compressed by the supported compression formats.
    • Archive - Processes files archived by the supported archive formats.
    • Compressed Archive - Processes files archived and compressed by the supported archive and compression formats.
    File Name Pattern within Compressed Directory File name pattern that represents the files to process within the compressed directory. You can use UNIX-style wildcards, such as an asterisk or question mark. For example, *.json.

    Default is *, which processes all files.

    Delimiter Format Type Delimiter format type. Use one of the following options:
    • Default CSV - File that includes comma-separated values. Ignores empty lines in the file.
    • RFC4180 CSV - Comma-separated file that strictly follows RFC4180 guidelines.
    • MS Excel CSV - Microsoft Excel comma-separated file.
    • MySQL CSV - MySQL comma separated file.
    • Tab-Separated Values - File that includes tab-separated values.
    • Custom - File that uses user-defined delimiter, escape, and quote characters.
    Header Line Indicates whether a file contains a header line, and whether to use the header line.
    Max Record Length (chars) Maximum length of a record in characters. Longer records are not read.

    This property can be limited by the Data Collector parser buffer size. For more information, see Maximum Record Size.

    Delimiter Character Delimiter character for a custom delimiter format. Select one of the available options or use Other to enter a custom character.

    You can enter a Unicode control character using the format \uNNNN, where ​N is a hexadecimal digit from the numbers 0-9 or the letters A-F. For example, enter \u0000 to use the null character as the delimiter or \u2028 to use a line separator as the delimiter.

    Default is the pipe character ( | ).

    Escape Character Escape character for a custom file type.
    Quote Character Quote character for a custom file type.
    Root Field Type Root field type to use:
    • List-Map - Generates an indexed list of data. Enables you to use standard functions to process data. Use for new pipelines.
    • List - Generates a record with an indexed list with a map for header and value. Requires the use of delimited data functions to process data. Use only to maintain pipelines created before 1.1.0.
    Lines to Skip Lines to skip before reading data.
    Parse NULLs Replaces the specified string constant with null values.
    NULL Constant String constant to replace with null values.
    Charset Character encoding of the files to be processed.
    Ignore Ctrl Characters Removes all ASCII control characters except for the tab, line feed, and carriage return characters.
  8. For JSON data, on the Data Format tab, configure the following properties:
    JSON Property Description
    Compression Format The compression format of the files:
    • None - Processes only uncompressed files.
    • Compressed File - Processes files compressed by the supported compression formats.
    • Archive - Processes files archived by the supported archive formats.
    • Compressed Archive - Processes files archived and compressed by the supported archive and compression formats.
    File Name Pattern within Compressed Directory File name pattern that represents the files to process within the compressed directory. You can use UNIX-style wildcards, such as an asterisk or question mark. For example, *.json.

    Default is *, which processes all files.

    JSON Content Type of JSON content. Use one of the following options:
    • Array of Objects
    • Multiple Objects
    Maximum Object Length (chars) Maximum number of characters in a JSON object.

    Longer objects are diverted to the pipeline for error handling.

    This property can be limited by the Data Collector parser buffer size. For more information, see Maximum Record Size.

    Charset Character encoding of the files to be processed.
    Ignore Ctrl Characters Removes all ASCII control characters except for the tab, line feed, and carriage return characters.
  9. For log data, on the Data Format tab, configure the following properties:
    Log Property Description
    Compression Format The compression format of the files:
    • None - Processes only uncompressed files.
    • Compressed File - Processes files compressed by the supported compression formats.
    • Archive - Processes files archived by the supported archive formats.
    • Compressed Archive - Processes files archived and compressed by the supported archive and compression formats.
    File Name Pattern within Compressed Directory File name pattern that represents the files to process within the compressed directory. You can use UNIX-style wildcards, such as an asterisk or question mark. For example, *.json.

    Default is *, which processes all files.

    Log Format Format of the log files. Use one of the following options:
    • Common Log Format
    • Combined Log Format
    • Apache Error Log Format
    • Apache Access Log Custom Format
    • Regular Expression
    • Grok Pattern
    • Log4j
    Max Line Length Maximum length of a log line. The origin truncates longer lines.

    This property can be limited by the Data Collector parser buffer size. For more information, see Maximum Record Size.

    Retain Original Line Determines how to treat the original log line. Select to include the original log line as a field in the resulting record.

    By default, the original line is discarded.

    Charset Character encoding of the files to be processed.
    Ignore Ctrl Characters Removes all ASCII control characters except for the tab, line feed, and carriage return characters.
    • When you select Apache Access Log Custom Format, use Apache log format strings to define the Custom Log Format.
    • When you select Regular Expression, enter the regular expression that describes the log format, and then map the fields that you want to include to each regular expression group.
    • When you select Grok Pattern, you can use the Grok Pattern Definition field to define custom grok patterns. You can define a pattern on each line.

      In the Grok Pattern field, enter the pattern to use to parse the log. You can use a predefined grok patterns or create a custom grok pattern using patterns defined in Grok Pattern Definition.

      For more information about defining grok patterns and supported grok patterns, see Defining Grok Patterns.

    • When you select Log4j, define the following properties:
      Log4j Property Description
      On Parse Error Determines how to handle information that cannot be parsed:
      • Skip and Log Error - Skips reading the line and logs a stage error.
      • Skip, No Error - Skips reading the line and does not log an error.
      • Include as Stack Trace - Includes information that cannot be parsed as a stack trace to the previously-read log line. The information is added to the message field for the last valid log line.
      Use Custom Log Format Allows you to define a custom log format.
      Custom Format Use log4j variables to define a custom log format.
  10. For protobuf data, on the Data Format tab, configure the following properties:
    Protobuf Property Description
    Compression Format The compression format of the files:
    • None - Processes only uncompressed files.
    • Compressed File - Processes files compressed by the supported compression formats.
    • Archive - Processes files archived by the supported archive formats.
    • Compressed Archive - Processes files archived and compressed by the supported archive and compression formats.
    File Name Pattern within Compressed Directory File name pattern that represents the files to process within the compressed directory. You can use UNIX-style wildcards, such as an asterisk or question mark. For example, *.json.

    Default is *, which processes all files.

    Protobuf Descriptor File Descriptor file (.desc) to use. The descriptor file must be in the Data Collector resources directory, $SDC_RESOURCES.

    For information about generating the descriptor file, see Protobuf Data Format Prerequisites. For more information about environment variables, see Data Collector Environment Configuration.

    Message Type The fully-qualified name for the message type to use when reading data.

    Use the following format: <package name>.<message type>.

    Use a message type defined in the descriptor file.
    Delimited Messages Indicates if a message might include more than one protobuf message.
  11. For SDC Record data, on the Data Format tab, configure the following properties:
    SDC Record Property Description
    Compression Format The compression format of the files:
    • None - Processes only uncompressed files.
    • Compressed File - Processes files compressed by the supported compression formats.
    • Archive - Processes files archived by the supported archive formats.
    • Compressed Archive - Processes files archived and compressed by the supported archive and compression formats.
    File Name Pattern within Compressed Directory File name pattern that represents the files to process within the compressed directory. You can use UNIX-style wildcards, such as an asterisk or question mark. For example, *.json.

    Default is *, which processes all files.

  12. For text data, on the Data Format tab, configure the following properties:
    Text Property Description
    Compression Format The compression format of the files:
    • None - Processes only uncompressed files.
    • Compressed File - Processes files compressed by the supported compression formats.
    • Archive - Processes files archived by the supported archive formats.
    • Compressed Archive - Processes files archived and compressed by the supported archive and compression formats.
    File Name Pattern within Compressed Directory File name pattern that represents the files to process within the compressed directory. You can use UNIX-style wildcards, such as an asterisk or question mark. For example, *.json.

    Default is *, which processes all files.

    Max Line Length Maximum number of characters allowed for a line. Longer lines are truncated.

    Adds a boolean field to the record to indicate if it was truncated. The field name is Truncated.

    This property can be limited by the Data Collector parser buffer size. For more information, see Maximum Record Size.

    Use Custom Delimiter Uses custom delimiters to define records instead of line breaks.
    Custom Delimiter One or more characters to use to define records.
    Include Custom Delimiter Includes delimiter characters in the record.
    Charset Character encoding of the files to be processed.
    Ignore Ctrl Characters Removes all ASCII control characters except for the tab, line feed, and carriage return characters.
  13. For XML data, on the XML tab, configure the following properties:
    XML Property Description
    Compression Format The compression format of the files:
    • None - Processes only uncompressed files.
    • Compressed File - Processes files compressed by the supported compression formats.
    • Archive - Processes files archived by the supported archive formats.
    • Compressed Archive - Processes files archived and compressed by the supported archive and compression formats.
    Delimiter Element
    Delimiter to use to generate records. Omit a delimiter to treat the entire XML document as one record. Use one of the following:
    • An XML element directly under the root element.

      Use the XML element name without surrounding angle brackets ( < > ) . For example, msg instead of <msg>.

    • A simplified XPath expression that specifies the data to use.

      Use a simplified XPath expression to access data deeper in the XML document or data that requires a more complex access method.

      For more information about valid syntax, see Simplified XPath Syntax.

    Include Field XPaths Includes the XPath to each parsed XML element and XML attribute in field attributes. Also includes each namespace in an xmlns record header attribute.

    When not selected, this information is not included in the record. By default, the property is not selected.

    Note: Field attributes and record header attributes are written to destination systems automatically only when you use the SDC RPC data format in destinations. For more information about working with field attributes and record header attributes, and how to include them in records, see Field Attributes and Record Header Attributes.
    Namespaces Namespace prefix and URI to use when parsing the XML document. Define namespaces when the XML element being used includes a namespace prefix or when the XPath expression includes namespaces.

    For information about using namespaces with an XML element, see Using XML Elements with Namespaces.

    For information about using namespaces with XPath expressions, see Using XPath Expressions with Namespaces.

    Use the Add icon to add additional namespaces.

    Output Field Attributes Includes XML attributes and namespace declarations in the record as field attributes. When not selected, XML attributes and namespace declarations are included in the record as fields.
    Note: Field attributes are automatically included in records written to destination systems only when you use the SDC RPC data format in the destination. For more information about working with field attributes, see Field Attributes.

    By default, the property is not selected.

    Max Record Length (chars)

    The maximum number of characters in a record. Longer records are diverted to the pipeline for error handling.

    This property can be limited by the Data Collector parser buffer size. For more information, see Maximum Record Size.

    Charset Character encoding of the files to be processed.
    Ignore Ctrl Characters Removes all ASCII control characters except for the tab, line feed, and carriage return characters.