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OssJindoFile

OssJindo file sink connector

Description

Output data to oss file system using jindo api.

tip

You need to download jindosdk-4.6.1.tar.gz and then unzip it, copy jindo-sdk-4.6.1.jar and jindo-core-4.6.1.jar from lib to ${SEATUNNEL_HOME}/lib.

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 OSS and this connector need some hadoop dependencies. It only supports hadoop version 2.9.X+.

Key features

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

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

Options

NameTypeRequiredDefaultDescription
pathstringyes-
tmp_pathstringno/tmp/seatunnelThe result file will write to a tmp path first and then use mv to submit tmp dir to target dir. Need a OSS dir.
bucketstringyes-
access_keystringyes-
access_secretstringyes-
endpointstringyes-
custom_filenamebooleannofalseWhether you need custom the filename
file_name_expressionstringno"${transactionId}"Only used when custom_filename is true
filename_time_formatstringno"yyyy.MM.dd"Only used when custom_filename is true
file_format_typestringno"csv"
field_delimiterstringno'\001'Only used when file_format_type is text
row_delimiterstringno"\n"Only used when file_format_type is text
have_partitionbooleannofalseWhether you need processing partitions.
partition_byarrayno-Only used then have_partition is true
partition_dir_expressionstringno"${k0}=${v0}/${k1}=${v1}/.../${kn}=${vn}/"Only used then have_partition is true
is_partition_field_write_in_filebooleannofalseOnly used then have_partition is true
sink_columnsarraynoWhen this parameter is empty, all fields are sink columns
is_enable_transactionbooleannotrue
batch_sizeintno1000000
compress_codecstringnonone
common-optionsobjectno-
max_rows_in_memoryintno-Only used when file_format_type is excel.
sheet_namestringnoSheet${Random number}Only used when file_format_type is excel.

path [string]

The target dir path is required.

bucket [string]

The bucket address of oss file system, for example: oss://tyrantlucifer-image-bed

access_key [string]

The access key of oss file system.

access_secret [string]

The access secret of oss file system.

endpoint [string]

The endpoint of oss file system.

custom_filename [boolean]

Whether custom the filename

file_name_expression [string]

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 [string]

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 [string]

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_type's suffix, the suffix of the text file is txt.

field_delimiter [string]

The separator between columns in a row of data. Only needed by text file format.

row_delimiter [string]

The separator between rows in a file. Only needed by text file format.

have_partition [boolean]

Whether you need processing partitions.

partition_by [array]

Only used when have_partition is true.

Partition data based on selected fields.

partition_dir_expression [string]

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 [boolean]

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 [array]

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 [boolean]

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 [int]

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 [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: lzo snappy lz4 zlib none
  • parquet: lzo snappy lz4 gzip brotli zstd none

Tips: excel type does not support any compression format

common options

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

max_rows_in_memory [int]

When File Format is Excel,The maximum number of data items that can be cached in the memory.

sheet_name [string]

Writer the sheet of the workbook

Example

For text file format with have_partition and custom_filename and sink_columns


OssJindoFile {
path="/seatunnel/sink"
bucket = "oss://tyrantlucifer-image-bed"
access_key = "xxxxxxxxxxx"
access_secret = "xxxxxxxxxxx"
endpoint = "oss-cn-beijing.aliyuncs.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
}

For parquet file format with sink_columns


OssJindoFile {
path = "/seatunnel/sink"
bucket = "oss://tyrantlucifer-image-bed"
access_key = "xxxxxxxxxxx"
access_secret = "xxxxxxxxxxxxxxxxx"
endpoint = "oss-cn-beijing.aliyuncs.com"
file_format_type = "parquet"
sink_columns = ["name","age"]
}

For orc file format simple config


OssJindoFile {
path="/seatunnel/sink"
bucket = "oss://tyrantlucifer-image-bed"
access_key = "xxxxxxxxxxx"
access_secret = "xxxxxxxxxxx"
endpoint = "oss-cn-beijing.aliyuncs.com"
file_format_type = "orc"
}

Changelog

2.3.0 2022-12-30

  • Add OSS Jindo File Sink Connector

Next version

  • [Improve] Support file compress (3899)