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ObsFile

Obs file sink connector

Support those engines

Spark

Flink

Seatunnel Zeta

Key features

By default, we use 2PC commit to ensure exactly-once

  • file format type
    • text
    • csv
    • parquet
    • orc
    • json
    • excel

Description

Output data to 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

jarsupported versionsmaven
hadoop-huaweicloudsupport version >= 3.1.1.29Download
esdk-obs-javasupport version >= 3.19.7.3Download
okhttpsupport version >= 3.11.0Download
okiosupport version >= 1.14.0Download

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

nametyperequireddefaultdescription
pathstringyes-The target dir path.
bucketstringyes-The bucket address of obs file system, for example: obs://obs-bucket-name.
access_keystringyes-The access key of obs file system.
access_secretstringyes-The access secret of obs file system.
endpointstringyes-The endpoint of obs file system.
custom_filenamebooleannofalseWhether you need custom the filename.
file_name_expressionstringno"${transactionId}"Describes the file expression which will be created into the path. Only used when custom_filename is true. Tips
filename_time_formatstringno"yyyy.MM.dd"Specify the time format of the path. Only used when custom_filename is true. Tips
file_format_typestringno"csv"Supported file types. Tips
field_delimiterstringno'\001'The separator between columns in a row of data.Only used when file_format is text.
row_delimiterstringno"\n"The separator between rows in a file. Only needed by text file format.
have_partitionbooleannofalseWhether you need processing partitions.
partition_byarrayno-Partition data based on selected fields. Only used then have_partition is true.
partition_dir_expressionstringno"${k0}=${v0}/${k1}=${v1}/.../${kn}=${vn}/"Only used then have_partition is true.Tips
is_partition_field_write_in_filebooleannofalseOnly used then have_partition is true.Tips
sink_columnsarraynoWhen this parameter is empty, all fields are sink columns.Tips
is_enable_transactionbooleannotrueTips
batch_sizeintno1000000Tips
compress_codecstringnononeTips
common-optionsobjectno-Tips
max_rows_in_memoryintno-When File Format is Excel,The maximum number of data items that can be cached in the memory.Only used when file_format is excel.
sheet_namestringnoSheet${Random number}Writer the sheet of the workbook. Only used when file_format is excel.

Tips

file_name_expression

Only used when custom_filename is true

file_name_expression describes the file expression which will be created into the path.

We can add the variable ${now} or ${uuid} in the file_name_expression, like test_${uuid}_${now},

${now} represents the current time, and its format can be defined by specifying the option filename_time_format.

Please note that, If is_enable_transaction is true, we will auto add ${transactionId}_ in the head of the file.

filename_time_format

Only used when custom_filename is true

When the format in the file_name_expression parameter is xxxx-${now} , filename_time_format can specify the time format of the path, and the default value is yyyy.MM.dd . The commonly used time formats are listed as follows:

SymbolDescription
yYear
MMonth
dDay of month
HHour in day (0-23)
mMinute in hour
sSecond in minute

file_format_type

We supported as the following file types:

text json csv orc parquet excel

Please note that, The final file name will end with the file_format's suffix, the suffix of the text file is txt.

partition_dir_expression

Only used when have_partition is true.

If the partition_by is specified, we will generate the corresponding partition directory based on the partition information, and the final file will be placed in the partition directory.

Default partition_dir_expression is ${k0}=${v0}/${k1}=${v1}/.../${kn}=${vn}/. k0 is the first partition field and v0 is the value of the first partition field.

is_partition_field_write_in_file

Only used when have_partition is true.

If is_partition_field_write_in_file is true, the partition field and the value of it will be write into data file.

For example, if you want to write a Hive Data File, Its value should be false.

sink_columns

Which columns need be written to file, default value is all the columns get from Transform or Source. The order of the fields determines the order in which the file is actually written.

is_enable_transaction

If is_enable_transaction is true, we will ensure that data will not be lost or duplicated when it is written to the target directory.

Please note that, If is_enable_transaction is true, we will auto add ${transactionId}_ in the head of the file. Only support true now.

batch_size

The maximum number of rows in a file. For SeaTunnel Engine, the number of lines in the file is determined by batch_size and checkpoint.interval jointly decide. If the value of checkpoint.interval is large enough, sink writer will write rows in a file until the rows in the file larger than batch_size. If checkpoint.interval is small, the sink writer will create a new file when a new checkpoint trigger.

compress_codec

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

  • txt: lzo none
  • json: lzo none
  • csv: lzo none
  • orc: lzo snappy lz4 zlib none
  • parquet: lzo snappy lz4 gzip brotli zstd none

Please note that excel type does not support any compression format

common options

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

Task Example

text file

For text file format with have_partition and custom_filename and sink_columns


ObsFile {
path="/seatunnel/text"
bucket = "obs://obs-bucket-name"
access_key = "xxxxxxxxxxx"
access_secret = "xxxxxxxxxxx"
endpoint = "obs.xxxxxx.myhuaweicloud.com"
file_format_type = "text"
field_delimiter = "\t"
row_delimiter = "\n"
have_partition = true
partition_by = ["age"]
partition_dir_expression = "${k0}=${v0}"
is_partition_field_write_in_file = true
custom_filename = true
file_name_expression = "${transactionId}_${now}"
filename_time_format = "yyyy.MM.dd"
sink_columns = ["name","age"]
is_enable_transaction = true
}

parquet file

For parquet file format with have_partition and sink_columns


ObsFile {
path = "/seatunnel/parquet"
bucket = "obs://obs-bucket-name"
access_key = "xxxxxxxxxxx"
access_secret = "xxxxxxxxxxxxxxxxx"
endpoint = "obs.xxxxxx.myhuaweicloud.com"
have_partition = true
partition_by = ["age"]
partition_dir_expression = "${k0}=${v0}"
is_partition_field_write_in_file = true
file_format_type = "parquet"
sink_columns = ["name","age"]
}

orc file

For orc file format simple config


ObsFile {
path="/seatunnel/orc"
bucket = "obs://obs-bucket-name"
access_key = "xxxxxxxxxxx"
access_secret = "xxxxxxxxxxx"
endpoint = "obs.xxxxx.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 = "xxxxxxxxxxx"
access_secret = "xxxxxxxxxxx"
endpoint = "obs.xxxxx.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 = "xxxxxxxxxxx"
access_secret = "xxxxxxxxxxx"
endpoint = "obs.xxxxx.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 = "xxxxxxxxxxx"
access_secret = "xxxxxxxxxxx"
endpoint = "obs.xxxxx.myhuaweicloud.com"
file_format_type = "csv"
}

Changelog

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