Version: Next

HdfsFile

HDFS File Sink Connector

Support Those Engines

Spark
Flink
SeaTunnel Zeta

Key Features

exactly-once

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

Description

Output data to hdfs file

Supported DataSource Info

Datasource	Supported Versions
HdfsFile	hadoop 2.x and 3.x

Sink Options

Name	Type	Required	Default	Description
fs.defaultFS	string	yes	-	The hadoop cluster address that start with `hdfs://`, for example: `hdfs://hadoopcluster`
path	string	yes	-	The target dir path is required.
tmp_path	string	yes	/tmp/seatunnel	The result file will write to a tmp path first and then use `mv` to submit tmp dir to target dir. Need a hdfs path.
hdfs_site_path	string	no	-	The path of `hdfs-site.xml`, used to load ha configuration of namenodes
custom_filename	boolean	no	false	Whether you need custom the filename
file_name_expression	string	no	"${transactionId}"	Only used when `custom_filename` is `true`.`file_name_expression` describes the file expression which will be created into the `path`. We can add the variable `${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 `${transactionId}_` in the head of the file.
filename_time_format	string	no	"yyyy.MM.dd"	Only used when `custom_filename` is `true`.When the format in the `file_name_expression` parameter is `xxxx-${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:[y:Year,M:Month,d:Day of month,H:Hour in day (0-23),m:Minute in hour,s:Second in minute]
file_format_type	string	no	"csv"	We supported as the following file types:`text` `json` `csv` `orc` `parquet` `excel` `xml`.Please note that, The final file name will end with the file_format's suffix, the suffix of the text file is `txt`.
field_delimiter	string	no	'\001'	Only used when file_format is text,The separator between columns in a row of data. Only needed by `text` file format.
row_delimiter	string	no	"\n"	Only used when file_format is text,The separator between rows in a file. Only needed by `text` file format.
have_partition	boolean	no	false	Whether you need processing partitions.
partition_by	array	no	-	Only used then have_partition is true,Partition data based on selected fields.
partition_dir_expression	string	no	"${k0}=${v0}/${k1}=${v1}/.../${kn}=${vn}/"	Only used then 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	no	false	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	no		When this parameter is empty, all fields are sink columns.Which columns need be write to file, default value is all of 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	no	true	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 `${transactionId}_` in the head of the file.Only support `true` now.
batch_size	int	no	1000000	The maximum number of rows in a file. For SeaTunnel Engine, the number of lines in the file is determined by `batch_size` and `checkpoint.interval` jointly decide. If the value of `checkpoint.interval` is large enough, sink writer will write rows in a file until the rows in the file larger than `batch_size`. If `checkpoint.interval` is small, the sink writer will create a new file when a new checkpoint trigger.
compress_codec	string	no	none	The compress codec of files and the details that supported as the following shown:[txt: `lzo` `none`,json: `lzo` `none`,csv: `lzo` `none`,orc: `lzo` `snappy` `lz4` `zlib` `none`,parquet: `lzo` `snappy` `lz4` `gzip` `brotli` `zstd` `none`].Tips: excel type does not support any compression format.
krb5_path	string	no	/etc/krb5.conf	The krb5 path of kerberos
kerberos_principal	string	no	-	The principal of kerberos
kerberos_keytab_path	string	no	-	The keytab path of kerberos
compress_codec	string	no	none	compress codec
common-options	object	no	-	Sink plugin common parameters, please refer to Sink Common Options for details
max_rows_in_memory	int	no	-	Only used when file_format is excel.When File Format is Excel,The maximum number of data items that can be cached in the memory.
sheet_name	string	no	Sheet${Random number}	Only used when file_format is excel.Writer the sheet of the workbook
xml_root_tag	string	no	RECORDS	Only used when file_format is xml, specifies the tag name of the root element within the XML file.
xml_row_tag	string	no	RECORD	Only used when file_format is xml, specifies the tag name of the data rows within the XML file
xml_use_attr_format	boolean	no	-	Only used when file_format is xml, specifies Whether to process data using the tag attribute format.
encoding	string	no	"UTF-8"	Only used when file_format_type is json,text,csv,xml.

Tips

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.

Task Example

Simple:

This example defines a SeaTunnel synchronization task that automatically generates data through FakeSource and sends it to Hdfs.

# Defining the runtime environment
env {
  parallelism = 1
  job.mode = "BATCH"
}

source {
  # This is a example source plugin **only for test and demonstrate the feature source plugin**
  FakeSource {
    parallelism = 1
    result_table_name = "fake"
    row.num = 16
    schema = {
      fields {
        c_map = "map<string, smallint>"
        c_array = "array<int>"
        c_string = string
        c_boolean = boolean
        c_tinyint = tinyint
        c_smallint = smallint
        c_int = int
        c_bigint = bigint
        c_float = float
        c_double = double
        c_decimal = "decimal(30, 8)"
        c_bytes = bytes
        c_date = date
        c_timestamp = timestamp
      }
    }
  }
  # If you would like to get more information about how to configure seatunnel and see full list of source plugins,
  # please go to https://seatunnel.apache.org/docs/category/source-v2
}

transform {
  # If you would like to get more information about how to configure seatunnel and see full list of transform plugins,
    # please go to https://seatunnel.apache.org/docs/category/transform-v2
}

sink {
    HdfsFile {
      fs.defaultFS = "hdfs://hadoopcluster"
      path = "/tmp/hive/warehouse/test2"
      file_format_type = "orc"
    }
  # If you would like to get more information about how to configure seatunnel and see full list of sink plugins,
  # please go to https://seatunnel.apache.org/docs/category/sink-v2
}

For orc file format simple config

HdfsFile {
    fs.defaultFS = "hdfs://hadoopcluster"
    path = "/tmp/hive/warehouse/test2"
    file_format_type = "orc"
}

For text file format with `have_partition` and `custom_filename` and `sink_columns`

HdfsFile {
    fs.defaultFS = "hdfs://hadoopcluster"
    path = "/tmp/hive/warehouse/test2"
    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 `have_partition` and `custom_filename` and `sink_columns`

HdfsFile {
    fs.defaultFS = "hdfs://hadoopcluster"
    path = "/tmp/hive/warehouse/test2"
    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"
    file_format_type = "parquet"
    sink_columns = ["name","age"]
    is_enable_transaction = true
}

For kerberos simple config

HdfsFile {
    fs.defaultFS = "hdfs://hadoopcluster"
    path = "/tmp/hive/warehouse/test2"
    hdfs_site_path = "/path/to/your/hdfs_site_path"
    kerberos_principal = "your_principal@EXAMPLE.COM"
    kerberos_keytab_path = "/path/to/your/keytab/file.keytab"
}

For compress simple config

HdfsFile {
    fs.defaultFS = "hdfs://hadoopcluster"
    path = "/tmp/hive/warehouse/test2"
    compress_codec = "lzo"
}

HdfsFile

Support Those Engines​

Key Features​

Description​

Supported DataSource Info​

Sink Options​

Tips​

Task Example​

Simple:​

For orc file format simple config​

For text file format with have_partition and custom_filename and sink_columns​

For parquet file format with have_partition and custom_filename and sink_columns​

For kerberos simple config​

For compress simple config​

Support Those Engines

Key Features

Description

Supported DataSource Info

Sink Options

Tips

Task Example

Simple:

For orc file format simple config

For text file format with `have_partition` and `custom_filename` and `sink_columns`

For parquet file format with `have_partition` and `custom_filename` and `sink_columns`

For kerberos simple config

For compress simple config