Kinesis коннектор#

Примечание

Ниже приведена оригинальная документация Trino. Скоро мы ее переведем на русский язык и дополним полезными примерами.

Kinesis is Amazon’s fully managed cloud-based service for real-time processing of large, distributed data streams.

This connector allows the use of Kinesis streams as tables in Trino, such that each data-blob/message in a Kinesis stream is presented as a row in Trino. A flexible table mapping approach lets us treat fields of the messages as columns in the table.

Under the hood, a Kinesis shard iterator is used to retrieve the records, along with a series of GetRecords calls. The shard iterator starts by default 24 hours before the current time, and works its way forward. To be able to query a stream, table mappings are needed. These table definitions can be stored on Amazon S3 (preferred), or stored in a local directory on each Trino node.

This connector is a read-only connector. It can only fetch data from Kinesis streams, but cannot create streams or push data into existing streams.

To configure the Kinesis connector, create a catalog properties file etc/catalog/example.properties with the following contents, replacing the properties as appropriate:

connector.name=kinesis
kinesis.access-key=XXXXXX
kinesis.secret-key=XXXXXX

Configuration properties#

The following configuration properties are available:

Property name

Description

kinesis.access-key

Access key to AWS account or blank to use default provider chain

kinesis.secret-key

Secret key to AWS account or blank to use default provider chain

kinesis.aws-region

AWS region to be used to read kinesis stream from

kinesis.default-schema

Default schema name for tables

kinesis.table-description-location

Directory containing table description files

kinesis.table-description-refresh-interval

How often to get the table description from S3

kinesis.hide-internal-columns

Controls whether internal columns are part of the table schema or not

kinesis.batch-size

Maximum number of records to return in one batch

kinesis.fetch-attempts

Read attempts made when no records returned and not caught up

kinesis.max-batches

Maximum batches to read from Kinesis in one single query

kinesis.sleep-time

Time for thread to sleep waiting to make next attempt to fetch batch

kinesis.iterator-from-timestamp

Begin iterating from a given timestamp instead of the trim horizon

kinesis.iterator-offset-seconds

Number of seconds before current time to start iterating

kinesis.access-key#

Defines the access key ID for AWS root account or IAM roles, which is used to sign programmatic requests to AWS Kinesis.

This property is optional; if not defined, the connector tries to follow Default-Credential-Provider-Chain provided by AWS in the following order:

  • Environment Variable: Load credentials from environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY.

  • Java System Variable: Load from java system as aws.accessKeyId and aws.secretKey.

  • Profile Credentials File: Load from file typically located at ~/.aws/credentials.

  • Instance profile credentials: These credentials can be used on EC2 instances, and are delivered through the Amazon EC2 metadata service.

kinesis.secret-key#

Defines the secret key for AWS root account or IAM roles, which together with Access Key ID, is used to sign programmatic requests to AWS Kinesis.

This property is optional; if not defined, connector will try to follow Default-Credential-Provider-Chain same as above.

kinesis.aws-region#

Defines AWS Kinesis regional endpoint. Selecting appropriate region may reduce latency in fetching data.

This field is optional; The default region is us-east-1 referring to end point „kinesis.us-east-1.amazonaws.com“.

See Kinesis Data Streams regions for a current list of available regions.

kinesis.default-schema#

Defines the schema which contains all tables that were defined without a qualifying schema name.

This property is optional; the default is default.

kinesis.table-description-location#

References an S3 URL or a folder within Trino deployment that holds one or more JSON files ending with .json, which contain table description files. The S3 bucket and folder will be checked every 10 minutes for updates and changed files.

This property is optional; the default is etc/kinesis.

kinesis.table-description-refresh-interval#

This property controls how often the table description is refreshed from S3.

This property is optional; the default is 10m.

kinesis.batch-size#

Defines the maximum number of records to return in one request to Kinesis Streams. Maximum limit is 10000 records.

This field is optional; the default value is 10000.

kinesis.max-batches#

The maximum number of batches to read in a single query. The default value is 1000.

kinesis.fetch-attempts#

Defines the number of attempts made to read a batch from Kinesis Streams, when no records are returned and the millis behind latest parameter shows we are not yet caught up. When records are returned no additional attempts are necessary. GetRecords has been observed to return no records even though the shard is not empty. That is why multiple attempts need to be made.

This field is optional; the default value is 2.

kinesis.sleep-time#

Defines the duration for which a thread needs to sleep between kinesis.fetch-attempts made to fetch data.

This field is optional; the default value is 1000ms.

kinesis.iterator-from-timestamp#

Use an initial shard iterator type of AT_TIMESTAMP starting kinesis.iterator-offset-seconds before the current time. When this is false, an iterator type of TRIM_HORIZON is used, meaning it starts from the oldest record in the stream.

The default is true.

kinesis.iterator-offset-seconds#

When kinesis.iterator-from-timestamp is true, the shard iterator starts at kinesis.iterator-offset-seconds before the current time.

The default is 86400 seconds (24 hours).

kinesis.hide-internal-columns#

In addition to the data columns defined in a table description file, the connector maintains a number of additional columns for each table. If these columns are hidden, they can still be used in queries, but they do not show up in DESCRIBE <table-name> or SELECT *.

This property is optional; the default is true.

Internal columns#

For each defined table, the connector maintains the following columns:

Column name

Type

Description

_shard_id

VARCHAR

ID of the Kinesis stream shard which contains this row.

_shard_sequence_id

VARCHAR

Sequence id within the Kinesis shard for this row.

_segment_start

BIGINT

Lowest offset in the segment (inclusive) which contains this row. This offset is partition specific.

_segment_end

BIGINT

Highest offset in the segment (exclusive) which contains this row. The offset is partition specific. This is the same value as _segment_start of the next segment (if it exists).

_segment_count

BIGINT

Running count for the current row within the segment. For an uncompacted topic, _segment_start + _segment_count is equal to _partition_offset.

_message_valid

BOOLEAN

True if the decoder could decode the message successfully for this row. When false, data columns mapped from the message should be treated as invalid.

_message

VARCHAR

Message bytes as an UTF-8 encoded string. This is only useful for a text topic.

_message_length

BIGINT

Number of bytes in the message.

_message_timestamp

TIMESTAMP

Approximate arrival time of the message (milliseconds granularity).

_key

VARCHAR

Key bytes as an UTF-8 encoded string. This is only useful for textual keys.

_partition_key

VARCHAR

Partition Key bytes as a UTF-8 encoded string.

For tables without a table definition file, the _message_valid column is always true.

Table definition#

A table definition file consists of a JSON definition for a table, which corresponds to one stream in Kinesis. The name of the file can be arbitrary but must end in .json. The structure of the table definition is as follows:

{
      "tableName": ...,
      "schemaName": ...,
      "streamName": ...,
      "message": {
          "dataFormat": ...,
          "fields": [
              ...
         ]
      }
  }

Field

Required

Type

Description

tableName

required

string

Trino table name defined by this file.

schemaName

optional

string

Schema which contains the table. If omitted, the default schema name is used.

streamName

required

string

Name of the Kinesis Stream that is mapped

message

optional

JSON object

Field definitions for data columns mapped to the message itself.

Every message in a Kinesis stream can be decoded using the definition provided in the message object. The JSON object message in the table definition contains two fields:

Field

Required

Type

Description

dataFormat

required

string

Selects the decoder for this group of fields.

fields

required

JSON array

A list of field definitions. Each field definition creates a new column in the Trino table.

Each field definition is a JSON object. At a minimum, a name, type, and mapping must be provided. The overall structure looks like this:

{
    "name": ...,
    "type": ...,
    "dataFormat": ...,
    "mapping": ...,
    "formatHint": ...,
    "hidden": ...,
    "comment": ...
}

Field

Required

Type

Description

name

required

string

Name of the column in the Trino table.

type

required

string

Trino type of the column.

dataFormat

optional

string

Selects the column decoder for this field. Defaults to the default decoder for this row data format and column type.

mapping

optional

string

Mapping information for the column. This is decoder specific – see below.

formatHint

optional

string

Sets a column specific format hint to the column decoder.

hidden

optional

boolean

Hides the column from DESCRIBE <table name> and SELECT *. Defaults to false.

comment

optional

string

Adds a column comment which is shown with DESCRIBE <table name>.

The name field is exposed to Trino as the column name, while the mapping field is the portion of the message that gets mapped to that column. For JSON object messages, this refers to the field name of an object, and can be a path that drills into the object structure of the message. Additionally, you can map a field of the JSON object to a string column type, and if it is a more complex type (JSON array or JSON object) then the JSON itself becomes the field value.

There is no limit on field descriptions for either key or message.

SQL support#

The connector provides globally available and read operation statements to access data and metadata from Kinesis streams.