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HdfsFile

HDFS 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
    • xml
    • binary
  • compress codec
    • lzo

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 csv parquet orc json excel xml binary.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"
}