ObsFile

Obs file source connector

Support those engines

Spark

Flink

Seatunnel Zeta

Key features

• batch
• stream
• exactly-once

Read all the data in a split in a pollNext call. What splits are read will be saved in snapshot.

• column projection
• parallelism
• support user-defined split
• file format type
  • text
  • csv
  • parquet
  • orc
  • json
  • excel

Description

Read data from huawei cloud obs file system.

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.

We made some trade-offs in order to support more file types, so we used the HDFS protocol for internal access to OBS and this connector need some hadoop dependencies. It only supports hadoop version 2.9.X+.

Required Jar List

jar	supported versions	maven
hadoop-huaweicloud	support version >= 3.1.1.29	Download
esdk-obs-java	support version >= 3.19.7.3	Download
okhttp	support version >= 3.11.0	Download
okio	support version >= 1.14.0	Download

Please download the support list corresponding to 'Maven' and copy them to the '$SEATNUNNEL_HOME/plugins/jdbc/lib/' working directory.

And copy all jars to $SEATNUNNEL_HOME/lib/

Options

name	type	required	default	description
path	string	yes	-	The target dir path
file_format_type	string	yes	-	File type.Tips
bucket	string	yes	-	The bucket address of obs file system, for example: obs://obs-bucket-name
access_key	string	yes	-	The access key of obs file system
access_secret	string	yes	-	The access secret of obs file system
endpoint	string	yes	-	The endpoint of obs file system
read_columns	list	yes	-	The read column list of the data source, user can use it to implement field projection.Tips
delimiter	string	no	\001	Field delimiter, used to tell connector how to slice and dice fields when reading text files
parse_partition_from_path	boolean	no	true	Control whether parse the partition keys and values from file path. Tips
skip_header_row_number	long	no	0	Skip the first few lines, but only for the txt and csv.
date_format	string	no	yyyy-MM-dd	Date type format, used to tell the connector how to convert string to date.Tips
datetime_format	string	no	yyyy-MM-dd HH:mm:ss	Datetime type format, used to tell the connector how to convert string to datetime.Tips
time_format	string	no	HH:mm:ss	Time type format, used to tell the connector how to convert string to time.Tips
schema	config	no	-	Tips
common-options		no	-	Tips
sheet_name	string	no	-	Reader the sheet of the workbook,Only used when file_format is excel.

Tips

parse_partition_from_path

Control whether parse the partition keys and values from file path

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

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

name	age
tyrantlucifer	26

Do not define partition fields in schema option

date_format

Date type format, used to tell the 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

Datetime type format, used to tell the 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

Time type format, used to tell the 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

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

file_format_type

File type, supported as the following file types:

text csv parquet orc json excel

If you assign file type to json, you should also assign schema option to tell the 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 can also save multiple pieces of data in one file and split them by one newline:

```json lines

{"code":  200, "data":  "get success", "success":  true}
{"code":  300, "data":  "get failed", "success":  false}

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 parquet orc, schema option not required, connector can find the schema of upstream data automatically.

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 delimiter too except CSV file type

you should assign schema and delimiter as the following:

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

connector will generate data as the following:

name	age	gender
tyrantlucifer	26	male

schema

fields

The schema of upstream data.

read_columns

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

The file type supported column projection as the following shown:

• text
• json
• csv
• orc
• parquet
• excel

If the user wants to use this feature when reading text json csv files, the schema option must be configured

common options

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

Task Example

text file

For text file format simple config

  ObsFile {
    path = "/seatunnel/text"
    bucket = "obs://obs-bucket-name"
    access_key = "xxxxxxxxxxxxxxxxx"
    access_secret = "xxxxxxxxxxxxxxxxxxxxxx"
    endpoint = "obs.xxxxxx.myhuaweicloud.com"
    file_format_type = "text"
  }

parquet file

For parquet file format simple config

  ObsFile {
    path = "/seatunnel/parquet"
    bucket = "obs://obs-bucket-name"
    access_key = "xxxxxxxxxxxxxxxxx"
    access_secret = "xxxxxxxxxxxxxxxxxxxxxx"
    endpoint = "obs.xxxxxx.myhuaweicloud.com"
    file_format_type = "parquet"
  }

orc file

For orc file format simple config

  ObsFile {
    path = "/seatunnel/orc"
    bucket = "obs://obs-bucket-name"
    access_key = "xxxxxxxxxxxxxxxxx"
    access_secret = "xxxxxxxxxxxxxxxxxxxxxx"
    endpoint = "obs.xxxxxx.myhuaweicloud.com"
    file_format_type = "orc"
  }

json file

For json file format simple config

  ObsFile {
    path = "/seatunnel/json"
    bucket = "obs://obs-bucket-name"
    access_key = "xxxxxxxxxxxxxxxxx"
    access_secret = "xxxxxxxxxxxxxxxxxxxxxx"
    endpoint = "obs.xxxxxx.myhuaweicloud.com"
    file_format_type = "json"
  }

excel file

For excel file format simple config

  ObsFile {
    path = "/seatunnel/excel"
    bucket = "obs://obs-bucket-name"
    access_key = "xxxxxxxxxxxxxxxxx"
    access_secret = "xxxxxxxxxxxxxxxxxxxxxx"
    endpoint = "obs.xxxxxx.myhuaweicloud.com"
    file_format_type = "excel"
  }

csv file

For csv file format simple config

  ObsFile {
    path = "/seatunnel/csv"
    bucket = "obs://obs-bucket-name"
    access_key = "xxxxxxxxxxxxxxxxx"
    access_secret = "xxxxxxxxxxxxxxxxxxxxxx"
    endpoint = "obs.xxxxxx.myhuaweicloud.com"
    file_format_type = "csv"
    delimiter = ","
  }

Changelog

next version

• Add Obs File Source Connector