Important
You are viewing documentation for an older version of Confluent Platform. For the latest, click here.
JSON Source Connector for Confluent Platform¶
The Kafka Connect JSON Source connector is used to stream JSON files from an SFTP directory while also converting the data based on the schema supplied in the configuration. If the schema is not supplied in the configuration then the connector can also auto generate the key.schema
and value.schema
at run time when schema.generation.enabled
is true.
To use this connector, use a connector configuration that specifies the name of this connector class in the connector.class
configuration property, as shown below:
connector.class=io.confluent.connect.sftp.SftpJsonSourceConnector
JSON Source Connector Example¶
This example follows the same steps as the Quick Start. Review the Quick Start for help running the Confluent Platform and installing the SFTP connector package.
Generate a JSON dataset using the command below and push it to SFTP server:
echo $'{"id":1,"first_name":"Roscoe","last_name":"Brentnall","email":"rbrentnall0@mediafire.com","gender":"Male","ip_address":"202.84.142.254","last_login":"2018-02-12T06:26:23Z","account_balance":1450.68,"country":"CZ","favorite_color":"#4eaefa"}\n{"id":2,"first_name":"Gregoire","last_name":"Fentem","email":"gfentem1@nsw.gov.au","gender":"Male","ip_address":"221.159.106.63","last_login":"2015-03-27T00:29:56Z","account_balance":1392.37,"country":"ID","favorite_color":"#e8f686"}' > "json-sftp-source.json"
Create an
sftp.properties
file with the following contents:name=JsonSftp tasks.max=1 connector.class=io.confluent.connect.sftp.SftpJsonSourceConnector input.path=/path/to/data error.path=/path/to/error finished.path=/path/to/finished cleanup.policy=NONE input.file.pattern=json-sftp-source.json behavior.on.error=IGNORE sftp.username=username sftp.password=password sftp.host=localhost sftp.port=22 kafka.topic=sftp-json-topic key.schema={\"name\" : \"com.example.users.UserKey\",\"type\" : \"STRUCT\",\"isOptional\" : false,\"fieldSchemas\" : {\"id\" : {\"type\" : \"INT64\",\"isOptional\" : false}}} value.schema={\"name\" : \"com.example.users.User\",\"type\" : \"STRUCT\",\"isOptional\" : false,\"fieldSchemas\" : {\"id\" : {\"type\" : \"INT64\",\"isOptional\" : false},\"first_name\" : {\"type\" : \"STRING\",\"isOptional\" : true},\"last_name\" : {\"type\" : \"STRING\",\"isOptional\" : true},\"email\" : {\"type\" : \"STRING\",\"isOptional\" : true},\"gender\" : {\"type\" : \"STRING\",\"isOptional\" : true},\"ip_address\" : {\"type\" : \"STRING\",\"isOptional\" : true},\"last_login\" : {\"type\" : \"STRING\",\"isOptional\" : true},\"account_balance\" : {\"name\" : \"org.apache.kafka.connect.data.Decimal\",\"type\" : \"BYTES\",\"version\" : 1,\"parameters\" : {\"scale\" : \"2\"},\"isOptional\" : true},\"country\" : {\"type\" : \"STRING\",\"isOptional\" : true},\"favorite_color\" : {\"type\" : \"STRING\",\"isOptional\" : true}}}
Load the SFTP JSON Source Connector.
Caution
You must include a double dash (
--
) between the connector name and your flag. For more information, see this post.confluent local load JsonSftp -- -d sftp.properties
Important
Don’t use the Confluent CLI in production environments.
Configuration Properties¶
Connector-specific configuration properties are described below.
General¶
kafka.topic
The Kafka topic to write the data to.
- Importance: HIGH
- Type: STRING
batch.size
The number of records that should be returned with each batch.
- Importance: LOW
- Type: INT
- Default Value: 1000
empty.poll.wait.ms
The amount of time to wait if a poll returns an empty list of records.
- Importance: LOW
- Type: LONG
- Default Value: 250
- Validator: [1,…,9223372036854775807]
Connection¶
sftp.host
Sftp host to connect with.
- Type: string
- Default: localhost
- Importance: high
sftp.port
Port number of SFTP server.
- Type: int
- Default: 22
- Importance: medium
sftp.username
Username for sftp server.
- Type: string
- Default: foo
- Importance: high
sftp.password
Password for sftp server.
- Type: string
- Default: pass
- Importance: high
Security¶
tls.private.key
Private key that will be used for public-key authentication.
- Type: password
- Default: [hidden]
- Importance: low
tls.public.key
Public key that will be used to decrypt the private key if the given private key is encrypted.
- Type: password
- Default: [hidden]
- Importance: low
tls.passphrase
Passphrase that will be used to decrypt the private key if the given private key is encrypted.
- Type: password
- Default: [hidden]
- Importance: low
tls.pemfile
Path to pemfile.
- Type: string
- Default: “”
- Importance: low
Proxy¶
sftp.proxy.url
Proxy url for sftp connection.
- Type: string
- Default: “”
- Importance: low
proxy.username
Proxy username for sftp server if proxy is being used.
- Type: string
- Default: null
- Importance: low
proxy.password
Proxy password for sftp server if proxy is being used.
- Type: string
- Default: null
- Importance: low
File System¶
input.path
The directory where Kafka Connect reads files that are processed. This directory must exist and be writable by the user running Connect.
- Importance: HIGH
- Type: STRING
- Validator: Absolute path to a sftp directory that exists and is writable.
input.file.pattern
Regular expression to check input file names against. This expression must match the entire filename. The equivalent of
Matcher.matches()
.- Importance: HIGH
- Type: STRING
finished.path
The directory where Connect puts files that are successfully processed. This directory must exist and be writable by the user running Connect.
- Importance: HIGH
- Type: STRING
- Validator: Absolute path to a sftp directory that exists and is writable.
error.path
The directory to place files that have errors. This directory must exist and be writable by the user running Kafka Connect.
- Importance: HIGH
- Type: STRING
- Validator: Absolute path to a sftp directory that exists and is writable.
behavior.on.error
Sets how the connector should behave when error are encountered while processing records.
FAIL
stops the connector when any error occurs.IGNORE
ignores the current file and continues to the next file for processing.LOG
after logging the error message, it continues to the next file for processing.- Importance: HIGH
- Type: STRING
- Default Value: FAIL
- Validator: Matches:
FAIL
,IGNORE
,LOG
cleanup.policy
Sets how the connector should clean up files that are successfully processed.
NONE
leaves the files in place. Files left in place may be reprocessed if the connector is restarted.DELETE
removes the file from the filesystem.MOVE
(the default) moves the file to thefinished.path
directory.- Importance: MEDIUM
- Type: STRING
- Default Value: MOVE
- Validator: Matches:
NONE
,DELETE
,MOVE
file.minimum.age.ms
The amount of time in milliseconds after the file was last written to before the file can be processed.
- Importance: LOW
- Type: LONG
- Default Value: 0
- Validator: [0,…]
processing.file.extension
Before a file is processed, it is renamed to indicate that it is currently being processed. This setting is appended to the end of the file.
- Importance: LOW
- Type: STRING
- Default Value: .PROCESSING
- Validator: Matches regex( ^.*..+$ )
Schema¶
key.schema
The schema for the key written to Kafka.
- Importance: HIGH
- Type: STRING
value.schema
The schema for the value written to Kafka.
- Importance: HIGH
- Type: STRING
Schema Generation¶
schema.generation.enabled
Flag to determine if schemas should be dynamically generated. If set to true,
key.schema
andvalue.schema
can be omitted, butschema.generation.key.name
andschema.generation.value.name
must be set.- Importance: MEDIUM
- Type: BOOLEAN
- Default Value: false
schema.generation.key.fields
Field(s) use to build key schema. This is only used during schema generation. If
schema.generation.enabled
is true andschema.generation.key.fields
is set to empty list as[]
thenkey.schema
will be of type Struct with empty fields. Ifschema.generation.enabled
is true andschema.generation.key.fields
is set to list of field names then thekey.schema
will be generated by extracting the fields present in the list fromvalue.schema
.- Importance: MEDIUM
- Type: LIST
- Default Value: []
schema.generation.key.name
The name of the generated key schema.
- Importance: MEDIUM
- Type: STRING
- Default Value: defaultkeyschemaname
schema.generation.value.name
The name of the generated value schema.
- Importance: MEDIUM
- Type: STRING
- Default Value: defaultvalueschemaname
timestamp.field
The field in the value schema that contains the parsed timestamp for the record. This field cannot be marked as optional and must be a Timestamp.
- Importance: MEDIUM
- Type: STRING
- Default Value: “”
Timestamps¶
timestamp.mode
Determines how the connector sets the timestamp for the ConnectRecord. If set to
Field
, the timestamp is read from a field in the value. This field cannot be optional and must be a Timestamp. Specify the field intimestamp.field
. If set toFILE_TIME
, the last time the file was modified is used. If set toPROCESS_TIME
(the default), the time the record is read is used.- Importance: MEDIUM
- Type: STRING
- Default Value: PROCESS_TIME
- Validator: Matches:
FIELD
,FILE_TIME
,PROCESS_TIME
timestamp.field
The field in the value schema that contains the parsed timestamp for the record. This field cannot be marked as optional and must be a Timestamp.
- Importance: MEDIUM
- Type: STRING
parser.timestamp.date.formats
The date formats that are expected in the file. This is a list of strings that are used to parse the date fields in order. The most accurate date format should be first in the list. See the Java documentation for more information.
- Importance: LOW
- Type: LIST
- Default Value: [yyyy-MM-dd’T’HH:mm:ss, yyyy-MM-dd’ ‘HH:mm:ss]
parser.timestamp.timezone
The time zone used for all parsed dates.
- Importance: LOW
- Type: STRING
- Default Value: UTC