FtpFile

Ftp file source connector

Support Those Engines

Spark
Flink
SeaTunnel Zeta

Key features

• batch
• stream
• exactly-once
• column projection
• parallelism
• support user-defined split
• file format type
  • text
  • csv
  • json
  • excel
  • xml
  • binary

Description

Read data from ftp file server.

tip

If you use spark/flink, In order to use this connector, You must ensure your spark/flink cluster already integrated hadoop. The tested hadoop version is 2.x.

If you use SeaTunnel Engine, It automatically integrated the hadoop jar when you download and install SeaTunnel Engine. You can check the jar package under ${SEATUNNEL_HOME}/lib to confirm this.

Options

name	type	required	default value
host	string	yes	-
port	int	yes	-
user	string	yes	-
password	string	yes	-
path	string	yes	-
file_format_type	string	yes	-
connection_mode	string	no	active_local
delimiter/field_delimiter	string	no	\001
read_columns	list	no	-
parse_partition_from_path	boolean	no	true
date_format	string	no	yyyy-MM-dd
datetime_format	string	no	yyyy-MM-dd HH:mm:ss
time_format	string	no	HH:mm:ss
skip_header_row_number	long	no	0
schema	config	no	-
sheet_name	string	no	-
xml_row_tag	string	no	-
xml_use_attr_format	boolean	no	-
file_filter_pattern	string	no	-
compress_codec	string	no	none
archive_compress_codec	string	no	none
encoding	string	no	UTF-8
common-options		no	-

host [string]

The target ftp host is required

port [int]

The target ftp port is required

user [string]

The target ftp user name is required

password [string]

The target ftp password is required

path [string]

The source file path.

file_filter_pattern [string]

Filter pattern, which used for filtering files.

The pattern follows standard regular expressions. For details, please refer to https://en.wikipedia.org/wiki/Regular_expression. There are some examples.

File Structure Example:

/data/seatunnel/20241001/report.txt
/data/seatunnel/20241007/abch202410.csv
/data/seatunnel/20241002/abcg202410.csv
/data/seatunnel/20241005/old_data.csv
/data/seatunnel/20241012/logo.png

Matching Rules Example:

Example 1: Match all .txt files，Regular Expression:

/data/seatunnel/20241001/.*\.txt

The result of this example matching is:

/data/seatunnel/20241001/report.txt

Example 2: Match all file starting with abc，Regular Expression:

/data/seatunnel/20241002/abc.*

The result of this example matching is:

/data/seatunnel/20241007/abch202410.csv
/data/seatunnel/20241002/abcg202410.csv

Example 3: Match all file starting with abc，And the fourth character is either h or g, the Regular Expression:

/data/seatunnel/20241007/abc[h,g].*

The result of this example matching is:

/data/seatunnel/20241007/abch202410.csv

Example 4: Match third level folders starting with 202410 and files ending with .csv, the Regular Expression:

/data/seatunnel/202410\d*/.*\.csv

The result of this example matching is:

/data/seatunnel/20241007/abch202410.csv
/data/seatunnel/20241002/abcg202410.csv
/data/seatunnel/20241005/old_data.csv

file_format_type [string]

File type, supported as the following file types:

text csv parquet orc json excel xml binary

If you assign file type to json , you should also assign schema option to tell connector how to parse data to the row you want.

For example:

upstream data is the following:

{"code":  200, "data":  "get success", "success":  true}

you should assign schema as the following:

schema {
    fields {
        code = int
        data = string
        success = boolean
    }
}

connector will generate data as the following:

code	data	success
200	get success	true

If you assign file type to text csv, you can choose to specify the schema information or not.

For example, upstream data is the following:

tyrantlucifer#26#male

If you do not assign data schema connector will treat the upstream data as the following:

content
tyrantlucifer#26#male

If you assign data schema, you should also assign the option field_delimiter too except CSV file type

you should assign schema and delimiter as the following:

field_delimiter = "#"
schema {
    fields {
        name = string
        age = int
        gender = string 
    }
}

connector will generate data as the following:

name	age	gender
tyrantlucifer	26	male

If you assign file type to binary, SeaTunnel can synchronize files in any format, such as compressed packages, pictures, etc. In short, any files can be synchronized to the target place. Under this requirement, you need to ensure that the source and sink use binary format for file synchronization at the same time. You can find the specific usage in the example below.

connection_mode [string]

The target ftp connection mode , default is active mode, supported as the following modes:

active_local passive_local

delimiter/field_delimiter [string]

delimiter parameter will deprecate after version 2.3.5, please use field_delimiter instead.

Only need to be configured when file_format is text.

Field delimiter, used to tell connector how to slice and dice fields.

default \001, the same as hive's default delimiter

parse_partition_from_path [boolean]

Control whether parse the partition keys and values from file path

For example if you read a file from path ftp://hadoop-cluster/tmp/seatunnel/parquet/name=tyrantlucifer/age=26

Every record data from file will be added these two fields:

name	age
tyrantlucifer	26

Tips: Do not define partition fields in schema option

date_format [string]

Date type format, used to tell connector how to convert string to date, supported as the following formats:

yyyy-MM-dd yyyy.MM.dd yyyy/MM/dd

default yyyy-MM-dd

datetime_format [string]

Datetime type format, used to tell connector how to convert string to datetime, supported as the following formats:

yyyy-MM-dd HH:mm:ss yyyy.MM.dd HH:mm:ss yyyy/MM/dd HH:mm:ss yyyyMMddHHmmss

default yyyy-MM-dd HH:mm:ss

time_format [string]

Time type format, used to tell connector how to convert string to time, supported as the following formats:

HH:mm:ss HH:mm:ss.SSS

default HH:mm:ss

skip_header_row_number [long]

Skip the first few lines, but only for the txt and csv.

For example, set like following:

skip_header_row_number = 2

then SeaTunnel will skip the first 2 lines from source files

schema [config]

Only need to be configured when the file_format_type are text, json, excel, xml or csv ( Or other format we can't read the schema from metadata).

The schema information of upstream data.

read_columns [list]

The read column list of the data source, user can use it to implement field projection.

sheet_name [string]

Reader the sheet of the workbook,Only used when file_format_type is excel.

xml_row_tag [string]

Only need to be configured when file_format is xml.

Specifies the tag name of the data rows within the XML file.

xml_use_attr_format [boolean]

Only need to be configured when file_format is xml.

Specifies Whether to process data using the tag attribute format.

compress_codec [string]

The compress codec of files and the details that supported as the following shown:

• txt: lzo none
• json: lzo none
• csv: lzo none
• orc/parquet:
  automatically recognizes the compression type, no additional settings required.

archive_compress_codec [string]

The compress codec of archive files and the details that supported as the following shown:

archive_compress_codec	file_format	archive_compress_suffix
ZIP	txt,json,excel,xml	.zip
TAR	txt,json,excel,xml	.tar
TAR_GZ	txt,json,excel,xml	.tar.gz
NONE	all	.*

encoding [string]

Only used when file_format_type is json,text,csv,xml. The encoding of the file to read. This param will be parsed by Charset.forName(encoding).

common options

Source plugin common parameters, please refer to Source Common Options for details.

Example

  FtpFile {
    path = "/tmp/seatunnel/sink/text"
    host = "192.168.31.48"
    port = 21
    user = tyrantlucifer
    password = tianchao
    file_format_type = "text"
    schema = {
      name = string
      age = int
    }
    field_delimiter = "#"
  }

Multiple Table

FtpFile {
  tables_configs = [
    {
      schema {
        table = "student"
      }
      path = "/tmp/seatunnel/sink/text"
      host = "192.168.31.48"
      port = 21
      user = tyrantlucifer
      password = tianchao
      file_format_type = "parquet"
    },
    {
      schema {
        table = "teacher"
      }
      path = "/tmp/seatunnel/sink/text"
      host = "192.168.31.48"
      port = 21
      user = tyrantlucifer
      password = tianchao
      file_format_type = "parquet"
    }
  ]
}

FtpFile {
  tables_configs = [
    {
      schema {
        fields {
          name = string
          age = int
        }
      }
      path = "/apps/hive/demo/student"
      file_format_type = "json"
    },
    {
      schema {
        fields {
          name = string
          age = int
        }
      }
      path = "/apps/hive/demo/teacher"
      file_format_type = "json"
    }
}

Transfer Binary File

env {
  parallelism = 1
  job.mode = "BATCH"
}

source {
  FtpFile {
    host = "192.168.31.48"
    port = 21
    user = tyrantlucifer
    password = tianchao
    path = "/seatunnel/read/binary/"
    file_format_type = "binary"
  }
}
sink {
  // you can transfer local file to s3/hdfs/oss etc.
  FtpFile {
    host = "192.168.31.48"
    port = 21
    user = tyrantlucifer
    password = tianchao
    path = "/seatunnel/read/binary2/"
    file_format_type = "binary"
  }
}

Filter File

env {
  parallelism = 1
  job.mode = "BATCH"
}

source {
  FtpFile {
    host = "192.168.31.48"
    port = 21
    user = tyrantlucifer
    password = tianchao
    path = "/seatunnel/read/binary/"
    file_format_type = "binary"
    // file example abcD2024.csv
    file_filter_pattern = "abc[DX]*.*"
  }
}

sink {
  Console {
  }
}

Changelog

2.2.0-beta 2022-09-26

• Add Ftp Source Connector

2.3.0-beta 2022-10-20

• [BugFix] Fix the bug of incorrect path in windows environment (2980)
• [Improve] Support extract partition from SeaTunnelRow fields (3085)
• [Improve] Support parse field from file path (2985)