Configuration without Header¶

# Connected to the Nebula Graph version, set to v2 when connected to 2.x.
version: v2

description: example

# Whether to delete temporarily generated logs and error data files.
removeTempFiles: false

clientSettings:

  # Retry times of nGQL statement execution failures.
  retry: 3

  # Number of Nebula Graph client concurrency.
  concurrency: 10 

  # Cache queue size per Nebula Graph client.
  channelBufferSize: 128

  # Specifies the Nebula Graph space to import the data into.
  space: student

  # Connection information.
  connection:
    user: root
    password: nebula
    address: 192.168.*.13:9669

  postStart:
    # Configure some of the operations to perform after connecting to the Nebula Graph server, and before inserting data.
    commands: |
      DROP SPACE IF EXISTS student;
      CREATE SPACE IF NOT EXISTS student(partition_num=5, replica_factor=1, vid_type=FIXED_STRING(20));
      USE student;
      CREATE TAG student(name string, age int,gender string);
      CREATE EDGE follow(degree int);

    # The interval between the execution of the above command and the execution of the insert data command.
    afterPeriod: 15s

  preStop:
    # Configure some of the actions you performed before disconnecting from the Nebula Graph server.
    commands: |

# Path of the error log file.
logPath: ./err/test.log

# CSV file Settings.
files:

    # Path for storing data files. If a relative path is used, the path is merged with the current configuration file directory. The first data file in this example is vertex data.
  - path: ./student_without_header.csv

    # Insert the failed data file storage path, so that data can be written later.
    failDataPath: ./err/studenterr.csv

    # The number of statements inserting data in a batch.
    batchSize: 10

    # Limit on the number of rows of read data.
    limit: 10

    # Whether to insert rows in the file in order. If the value is set to false, the import rate decreases due to data skew.
    inOrder: true

    # File type. Currently, only CSV files are supported.
    type: csv

    csv:
      # Whether there is a header.
      withHeader: false

      # Whether there is a LABEL.
      withLabel: false

      # Specifies the delimiter for the CSV file. A string delimiter that supports only one character.
      delimiter: ","

    schema:
      # Schema type. Possible values are vertex and edge.
      type: vertex

      vertex:

        # Vertex ID Settings.
        vid:
           # The vertex ID corresponds to the column number in the CSV file. Columns in the CSV file are numbered from 0.
           index: 0

           # The data type of the vertex ID. The optional values are int and string, corresponding to INT64 and FIXED_STRING in the Nebula Graph, respectively.
           type: string

        # Tag Settings.
            # Tag name.
          - name: student

            # property Settings in the Tag.
            props:
                # property name.
              - name: name

                # Property data type.
                type: string

                # Property corresponds to the sequence number of the column in the CSV file.
                index: 1

              - name: age
                type: int
                index: 2
              - name: gender
                type: string
                index: 3

    # The second data file in this example is edge data.
  - path: ./follow_without_header.csv
    failDataPath: ./err/followerr.csv
    batchSize: 10
    limit: 10
    inOrder: true
    type: csv
    csv:
      withHeader: false
      withLabel: false
    schema:
      # The type of Schema is edge.
      type: edge
      edge:
        # Edge type name.
        name: follow

        # Whether to include rank.
        withRanking: true

        # Start vertex ID setting.
        srcVID:
           # Data type.
           type: string

           # The start vertex ID corresponds to the sequence number of a column in the CSV file.
           index: 0

        # Destination vertex ID.
        dstVID:
           type: string
           index: 1

        # rank setting.
        rank:
           # Rank Indicates the rank number of a column in the CSV file. If index is not set, be sure to set the rank value in the third column. Subsequent columns set each property in turn.
           index: 2

        # Edge Type property Settings.
        props:
             # property name.
           - name: degree

             # Data type.
             type: double

             # Property corresponds to the sequence number of the column in the CSV file.
             index: 3