filesource-v3.yaml

GPSS load configuration file for a File data source (version 3).

Synopsis

version: v3

targets:
- gpdb:
    host: <host>
    port: <greenplum_port>
    user: <user_name>
    password: <password>
    database: <db_name>
    work_schema: <work_schema_name>
    error_limit: <num_errors> | <percentage_errors>
    filter_expression: <filter_string>
    tables:
      - table: <table_name>
        schema: <schema_name>
        mode:
          # specify a single mode property block (described below)
          insert: {}
          update:
            <mode_specific_property>: <value>
            ...
          merge:
            <mode_specific_property>: <value>
            ...
        mapping:
          <target_column_name> : <source_column_name> | <expression>
          ...
        filter: <output_filter_string>
      ...

sources:
- file:
    uri:
      - <file_path>
      ...
    exec:
      command: <command_to_run>
      workdir: <directory>
      stderr_as_fail: <boolean>
    content:
      <data_format>:
        <column_spec>
        <other_props>
    encoding: <char_set>
    task:
      prepare_statement: <udf_or_sql_to_run>
      teardown_statement: <udf_or_sql_to_run>
    meta:
      json:
        column:
          name: meta
          type: json

option:
  schedule:
    max_retries: <num_retries>
    retry_interval: <retry_time>
    running_duration: <run_time>
    auto_stop_restart_interval: <restart_time>
    max_restart_times: <num_restarts>
    quit_at_eof_after: <clock_time>
  alert:
    command: <command_to_run>
    workdir: <directory>
    timeout: <alert_time>

Where the mode_specific_propertys that you can specify for update and merge mode follow:

update:
  match_columns: [<match_column_names>]
  order_columns: [<order_column_names>]
  update_columns: [<update_column_names>]
  update_condition: <update_condition>

merge:
  match_columns: [<match_column_names>]
  update_columns: [<update_column_names>]
  order_columns: [<order_column_names>]
  update_condition: <update_condition>
  delete_condition: <delete_condition>

Where data_format, column_spec, and other_props are one of the following blocks (data source-specific):

avro:
  source_column_name: <column_name>
  schema_url: <http://schemareg_host:schemareg_port> %, ...%
  bytes_to_base64: <boolean>

binary:
  source_column_name: <column_name>

csv:
  columns:
    - name: <column_name>
      type: <column_data_type>
    ...
  delimiter: <delim_char>
  quote: <quote_char>
  null_string: <nullstr_val>
  escape: <escape_char>
  force_not_null: <columns>
  fill_missing_fields: <boolean>

custom:
  columns:
    - name: <column_name>
      type: <column_data_type>
    ...
  name: <formatter_name>
  options:
    - <optname>=<optvalue>
    ...

delimited:
  columns:
    - name: <column_name>
      type: <column_data_type>
    ...
  delimiter: <delimiter_string>
  eol_prefix: <prefix_string>
  quote: <quote_char>
  escape: <escape_char>

json:
  column:
    name: <column_name>
    type: json | jsonb
  is_jsonl: <boolean>
  newline: <newline_str>

And where you may specify any property value with a template variable that GPSS substitutes at runtime using the following syntax:

<property:> {{<template_var>}}

Description

Note
Version 3 of the GPSS load configuration file is different in both content and format than previous versions of the file. Certain symbols used in the GPSS version 1 and 2 configuration file reference page syntax have different meanings in version 3 syntax:

Brackets [] are literal and are used to specify a list in version 3. They are no longer used to signify the optionality of a property.

Curly braces {} are literal and are used to specify YAML mappings in version 3 syntax. They are no longer used with the pipe symbol (|) to identify a list of choices.

You specify the configuration properties for a Greenplum Streaming Server (GPSS) file load job in a YAML-formatted configuration file that you provide to the gpsscli submit or gpsscli load commands. There are three types of configuration properties in this file - those that identify the VMware Greenplum connection and target table, properties specific to the file data source that you will load into Greenplum, and job-related properties.

This reference page uses the name filesource-v3.yaml to refer to this file; you may choose your own name for the file.

The gpsscli utility processes the YAML configuration file keywords in order, using indentation (spaces) to determine the document hierarchy and the relationships between the sections. The use of white space in the file is significant. Keywords are not case-sensitive.

Keywords and Values

version Property

version: v3: The version of the configuration file. You must specify version: v3.

targets:gpdb Properties

host: host

The host name or IP address of the VMware Greenplum coordinator host.

port: greenplum_port

The port number of the VMware Greenplum server on the coordinator host.

user: user_name

The name of the VMware Greenplum user/role. This user_name must have permissions as described in the Configuring VMware Greenplum Role Privileges.

password: password

The password for the VMware Greenplum user/role.

database: db_name

The name of the VMware Greenplum database.

work_schema: work_schema_name

The name of the Vmware Greenplum Database schema in which GPSS creates internal tables. The default work_schema_name is public.

error_limit: num_errors | percentage_errors

The error threshold, specified as either an absolute number or a percentage. GPSS stops running the job when this limit is reached.

filter_expression: filter_string

The filter to apply to the input data before GPSS loads the data into VMware Greenplum. If the filter evaluates to true, GPSS loads the message. If the filter evaluates to false, the message is dropped. filter_string must be a valid SQL conditional expression and may reference one or more source value, key, or meta column names.

tables:

The VMware Greenplum tables, and the data that GPSS will load into each.

table: table_name: The name of the VMware Greenplum table into which GPSS loads the data.
schema: schema_name: The name of the VMware Greenplum schema in which table_name resides. Optional, the default schema is the public schema.
mode:: The table load mode; insert, merge, or update. The default mode is insert.

Note
update and merge are not supported if the target table column name is a reserved keyword, has capital letters, or includes any character that requires quotes (" ") to identify the column.

insert:

Inserts source data into Greenplum.

update:

Updates the target table columns that are listed in update_columns when the input columns identified in match_columns match the named target table columns and the optional update_condition is true.

merge:

Inserts new rows and updates existing rows when:

columns are listed in update_columns,
the match_columns target table column values are equal to the input data, and
an optional update_condition is specified and met.

Deletes rows when:
the match_columns target table column values are equal to the input data, and
an optional delete_condition is specified and met.

New rows are identified when the match_columns value in the source data does not have a corresponding value in the existing data of the target table. In those cases, the entire row from the source file is inserted, not only the match_columns and update_columns. If there are multiple new match_columns values in the input data that are the same, GPSS inserts or updates the target table using a random matching input row. When you specify order_columns, GPSS sorts the input data on the specified column(s) and inserts or updates from the input row with the largest value.

mode_property_name: value

The name to value mapping for a mode property. Each mode supports one or more of the following properties as specified in the Synopsis.

match_columns: [match_column_names]

A comma-separated list that specifies the column(s) to use as the join condition for the update. The attribute value in the specified target column(s) must be equal to that of the corresponding source data column(s) in order for the row to be updated in the target table.

Required when mode is merge or update.

order_columns: [order_column_names]

A comma-separated list that specifies the column(s) by which GPSS sorts the rows. When multiple matching rows exist in a batch, order_columns is used with match_columns to determine the input row with the largest value; GPSS uses that row to write/update the target.

Optional. May be specified in merge mode to sort the input data rows.

update_columns: [update_column_names]

A column-sparated list that specifies the column(s) to update for the rows that meet the match_columns criteria and the optional update_condition.

Required when mode is merge or update.

update_condition: update_condition

Specifies a boolean condition, similar to that which you would declare in a WHERE clause, that must be met in order for a row in the target table to be updated (or inserted, in the case of a merge). Optional.

delete_condition: delete_condition

In merge mode, specifies a boolean condition, similar to that which you would declare in a WHERE clause, that must be met for GPSS to delete rows in the target table that meet the match_columns criteria. Optional.

mapping:

Optional. Overrides the default source-to-target column mapping.

Note
When you specify a mapping, ensure that you provide a mapping for all source data elements of interest. GPSS does not automatically match column names when you provide a mapping block.

target_column_name: source_column_name | expression : target_column_name specifies the target VMware Greenplum table column name. GPSS maps this column name to the source column name specified in source_column_name, or to an expression. When you specify an expression, you may provide a value expression that you would specify in the SELECT list of a query, such as a constant value, a column reference, an operator invocation, a built-in or user-defined function call, and so on.

filter: output_filter_string: The filter to apply to the output data before GPSS loads the data into VMware Greenplum. If the filter evaluates to true, GPSS loads the message. If the filter evaluates to false, the message is dropped. output_filter_string must be a valid SQL conditional expression and may reference one or more META or VALUE column names.

sources:file: Options

The file input configuration parameters. You must provide exactly one of uri or an exec block.

uri

The path to the file.

file_path: A URL identifying a file or files to be loaded. You can specify wildcards in any element of the path. To load all files in a directory, specify dirname/*.

exec

The execution options for the command whose stdout GPSS loads into VMware Greenplum.

command: command_to_run: The program that the GPSS server runs on the local host, including the arguments. The command must be executable by GPSS, and can include pipe and quote characters.
workdir: directory: The working directory for the child process. The default working directory is the directory from which you started the GPSS server process. If you specify a relative path, it is relative to the directory from which you started the GPSS server process.
stderr_as_fail: boolean: Specifies whether data written to stderr constitutes failure of the command, regardless of the command return value. The default value is false; GPSS does not consider writing to stderr a failure, and will write a message to the GPSS log file. When true, GPSS treats any output to stderr as a failure, and rolls back the operation.

content:

The file type, field names, and type-specific properties of the file data. You must specify all data elements in the order in which they appear in the file.

column_spec

The source to Greenplum column mapping. The supported column specification differs for different data formats as described below.

The default source-to-target data mapping behaviour of GPSS is to match a column name as defined in source_column_name, column:name, or columns:name with a column name in the target VMware Greenplum table. You can override the default mapping by specifying a mapping: block.

data_format

The format of the key or value data. You may specify a data_format of avro, binary, csv, custom, delimited, or json for the key and value, with some restrictions.

avro: When you specify the avro data format for a key or value, GPSS reads the data into a single json-type column. You may specify a schema registery location and whether or not you want GPSS to convert bytes fields into base64-encoded strings.
source_column_name: column_name: The name of the single json-type column into which GPSS reads the key or value data.
schema_url: schemareg_host:schemareg_port: When you specify the avro format and the Avro schema of the JSON data that you want to load is registered in the Confluent Schema Registry, you must identify the host name and port number of each Confluent Schema Registry server in your Kafka cluster. You may specify more than one address, and at least one of the addresses must be legal.
bytes_to_base64: boolean: When true, GPSS converts Avro bytes fields into base64-encoded strings. The default value is false, GPSS does not perform the conversion.
binary: When you specify the binary data format, GPSS reads the data into a single bytea-type column.
source_column_name: column_name: The name of the single bytea-type column into which GPSS reads the key or value data.
csv: When you specify the csv data format, GPSS reads the data into the list of columns that you specify. The file content cannot contain line ending characters (CR and LF).
columns:: A set of column name/type mappings. The value [] specifies all columns.
name: column_name: The name of a key or value column. column_name must match the column name of the target VMware Greenplum table.
type: column_data_type: The data type of the column. You must specify an equivalent data type for each data element and the associated VMware Greenplum table column.
delimiter: delim_char: Specifies a single ASCII character that separates columns within each message or row of data. The default delimiter is a comma ( ,).
quote: quote_char: Specifies the quotation character. Because GPSS does not provide a default value for this property, you must specify a value.
null_string: nullstr_val: Specifies the string that represents the null value. Because GPSS does not provide a default value for this property, you must specify a value.
force_not_null: columns: Specifies a comma-separated list of column names to process as though each column were quoted and hence not a NULL value. For the default null_string (nothing between two delimiters), missing values are evaluated as zero-length strings.
fill_missing_fields: boolean: Specifies the action of GPSS when it reads a row of data that has missing trailing field values (the row has missing data fields at the end of a line or row). The default value is false, GPSS returns an error when it encounters a row with missing trailing field values.; If set to true, GPSS sets missing trailing field values to NULL. Blank rows, fields with a NOT NULL constraint, and trailing delimiters on a line will still generate an error.
newline: newline_str: Specifies the string that represents a new line. + GPSS does not specify a default value.
custom: When you specify the custom data format, GPSS uses the custom formatter that you specify to process the input data before writing it to VMware Greenplum.
columns:: A set of column name/type mappings. The value [] specifies all columns.
name: column_name: The name of a key or value column. column_name must match the column name of the target VMware Greenplum table.
type: column_data_type: The data type of the column. You must specify an equivalent data type for each data element and the associated VMware Greenplum table column.
name: formatter_name: When you specify the custom data format, formatter_name is required and must identify the name of the formatter user-defined function that GPSS should use when loading the data.
options:: A set of function argument name=value pairs.
optname=optvalue: The name and value of the set of arguments to pass into the formatter_name UDF.
delimited: When you specify the delimited data format, GPSS reads the data into the list of columns that you specify. You must specify the data delimiter.
columns:: A set of column name/type mappings. The value [] specifies all columns.
name: column_name: The name of a key or value column. column_name must match the column name of the target VMware Greenplum table.
type: column_data_type: The data type of the column. You must specify an equivalent data type for each data element and the associated VMware Greenplum table column.
delimiter: delimiter_string: When you specify the delimited data format, delimiter_string is required and must identify the data element delimiter. delimiter_string may be a multi-byte value, and up to 32 bytes in length. It may not contain quote and escape characters.
eol_prefix: prefix_string: Specifies the prefix before the end of line character ( \n) that indicates the end of a row. The default prefix is empty.
quote: quote_char: Specifies the single ASCII quotation character. The default quote character is empty.; If you do not specify a quotation character, GPSS assumes that all columns are unquoted. If you do not specify a quotation character and do specify an escape character, GPSS assumes that all columns are unquoted and escapes the delimiter, end-of-line prefix, and escape itself.; When you specify a quotation character, you must specify an escape character. GPSS reads any content between quote characters as-is, except for escaped characters.
escape: escape_char: Specifies the single ASCII character used to escape special characters (for example, the delimiter, end-of-line prefix, quote, or escape itself). Therdefault escape character is empty.; When you specify an escape character and do not specify a quotation character, GPSS escapes only the delimiter, end-of-line prefix, and escape itself.; When you specify both an escape character and a quotation character, GPSS escapes only these characters.
json: When you specify the json data format, GPSS can read the data as a single JSON object or as a single JSON record per line.
column:: A single column name/type mapping.
name: column_name: The name of the key or value column. column_name must match the column name of the target VMware Greenplum table.
type: json | jsonb | gp_jsonb | gp_json: The data type of the column.
is_jsonl: boolean: Identifies whether or not GPSS reads the JSON data as a single object or single-record-per-line. The default is false, GPSS reads the JSON data as a single object.
newline: newline_str: A string that specifies the new line character(s) that end each JSON record. The default newline is "\n".

encoding: char_set

The source data encoding. You can specify an encoding character set when the source data is of the csv, custom, delimited, or json format. GPSS supports the character sets identified in Character Set Support in the VMware Greenplum documentation.

task:

File data source task properties.

prepare_statement: udf_or_sql_to_run: A user-defined function or SQL command(s) that you want GPSS to run before it executes the job. The default is null, no command to run.
teardown_statement: udf_or_sql_to_run: A user-defined function or SQL command(s) that you want GPSS to run after the job stops. GPSS runs the function or command(s) on job success and job failure. The default is null, no command to run.

meta:

The data type and field name of the file meta data. meta: must specify the json or jsonb (Greenplum 6 only) data format, and a single json-type column.

You can load this property into the target table with a mapping, or use the property in the update or merge criteria for a load operation

option: Properties

schedule:

Controls the frequency and interval of restarting jobs.

retry_interval: retry_time: The period of time that GPSS waits before retrying a failed job. You can specify the time interval in day ( d), hour ( h), minute ( m), second ( s), or millisecond ( ms) integer units; do not mix units. The default retry interval is 5m (5 minutes).
max_retries: num_retries: The maximum number of times that GPSS attempts to retry a failed job. The default is 0, do not retry. If you specify a negative value, GPSS retries the job indefinitely.
running_duration: run_time: The amount of time after which GPSS automatically stops a job. GPSS does not automatically stop a job by default.
auto_stop_restart_interval: restart_time: The amount of time after which GPSS restarts a job that it stopped due to reaching running_duration.
max_restart_times: num_restarts: The maximum number of times that GPSS restarts a job that it stopped due to reaching running_duration. The default is 0, do not restart the job. If you specify the value -1, GPSS restarts the job indefinitely. You may use gpsscli stop to stop the jobs from being restarted indefinitely.
quit_at_eof_after: clock_time: The clock time after which GPSS stops a job every day when it encounters an EOF. By default, GPSS does not automatically stop a job that reaches EOF. GPSS never stops a job when the current time is before clock_time, even when GPSS encounters an EOF.

alert:

Controls notification when a job is stopped for any reason (success, completion, error, user-initiated stop).

command: command_to_run: The program that the GPSS server runs on the GPSS server host, including arguments. The command must be executable by GPSS.; command_to_run has access to job-related environment variables that GPSS sets, including: $GPSSJOB_NAME, $GPSSJOB_STATUS, and $GPSSJOB_DETAIL.
workdir: directory: The working directory for command_to_run. The default working directory is the directory from which you started the GPSS server process. If you specify a relative path, it is relative to the directory from which you started the GPSS server process.
timeout: alert_time: The amount of time after a job stops, prompting GPSS to trigger the alert (and run command_to_run). You can specify the time interval in day ( d), hour ( h), minute ( m), or second ( s) integer units; do not mix units. The default alert timeout is -1s (no timeout).

Template Variables

GPSS supports using template variables to specify property values in the load configuration file.

You specify a template variable value in the load configuration file as follows:

<property>: {{<template_var>}}

For example:

max_retries: {{numretries}}

GPSS substitutes the template variable with a value that you specify via the -p | --property <template_var=value> option to the gpsscli dryrun, gpsscli submit, or gpsscli load command.

For example, if the command line specifies:

--property numretries=10

GPSS substitutes occurrences of {{numretries}} in the load configuration file with the value 10 before submitting the job, and uses that value while the job is running.

Notes

If you created a database object name using a double-quoted identifier (delimited identifier), you must specify the delimited name within single quotes in the load configuration file. For example, if you create a table as follows:

CREATE TABLE "MyTable" (c1 text);

Your YAML configuration file would refer to the table name as:

targets:
- gpdb:
    tables:
      - table: '"MyTable"'

You can specify backslash escape sequences in the CSV delimiter, quote, and escape options. GPSS supports the standard backslash escape sequences for backspace, form feed, newline, carriage return, and tab, as well as escape sequences that you specify in hexadecimal format (prefaced with \x). Refer to Backslash Escape Sequences in the PostgreSQL documentation for more information.

Examples

Submit a job to load data from an Avro file as defined in the version 3 load configuration file named loadfromfile_v3.yaml:

$ gpsscli submit loadfromfile_v3.yaml

Example loadfromfile_v3.yaml configuration file:

version: v3
targets:
- gpdb:
    host: mdw-1
    port: 15432
    user: gpadmin
    password: changeme
    database: testdb
    work_schema: public
    error_limit: "25"
    tables:
      - table: orders
        schema: public
        mode:
          merge:
            match_columns: [pk]
            order_columns: [seq]
            delete_condition: flag = 0
        mapping:
          data: data
          pk: pk
          seq: seq
sources:
- file:
    uri:
      - file:///tmp/data.csv
    content:
      csv:
        columns:
          - name: pk
            type: int
          - name: seq
            type: int
          - name: data
            type: text
          - name: flag
            type: int
option:
  schedule: {}