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My Hours

My Hours source connector

Support Those Engines​

Spark
Flink
SeaTunnel Zeta

Key Features​

Description​

Used to read data from My Hours.

Key features​

Supported DataSource Info​

In order to use the My Hours connector, the following dependencies are required. They can be downloaded via install-plugin.sh or from the Maven central repository.

DatasourceSupported VersionsDependency
My HoursuniversalDownload

Source Options​

NameTypeRequiredDefaultDescription
urlStringYes-Http request url.
emailStringYes-My hours login email address.
passwordStringYes-My hours login password.
schemaConfigNo-Http and seatunnel data structure mapping
schema.fieldsConfigNo-The schema fields of upstream data
json_fieldConfigNo-This parameter helps you configure the schema,so this parameter must be used with schema.
content_jsonStringNo-This parameter can get some json data.If you only need the data in the 'book' section, configure content_field = "$.store.book.*".
formatStringNojsonThe format of upstream data, now only support json text, default json.
methodStringNogetHttp request method, only supports GET, POST method.
headersMapNo-Http headers.
paramsMapNo-Http params.
bodyStringNo-Http body.
poll_interval_millisIntNo-Request http api interval(millis) in stream mode.
retryIntNo-The max retry times if request http return to IOException.
retry_backoff_multiplier_msIntNo100The retry-backoff times(millis) multiplier if request http failed.
retry_backoff_max_msIntNo10000The maximum retry-backoff times(millis) if request http failed
enable_multi_linesBooleanNofalse
common-optionsNo-Source plugin common parameters, please refer to Source Common Options for details

How to Create a My Hours Data Synchronization Jobs​

env {
  parallelism = 1
  job.mode = "BATCH"
}

MyHours{
    url = "https://api2.myhours.com/api/Projects/getAll"
    email = "seatunnel@test.com"
    password = "seatunnel"
    schema {
       fields {
         name = string
         archived = boolean
         dateArchived = string
         dateCreated = string
         clientName = string
         budgetAlertPercent = string
         budgetType = int
         totalTimeLogged = double
         budgetValue = double
         totalAmount = double
         totalExpense = double
         laborCost = double
         totalCost = double
         billableTimeLogged = double
         totalBillableAmount = double
         billable = boolean
         roundType = int
         roundInterval = int
         budgetSpentPercentage = double
         budgetTarget = int
         budgetPeriodType = string
         budgetSpent = string
         id = string
       }
    }
}

# Console printing of the read data
sink {
  Console {
    parallelism = 1
  }
}

Parameter Interpretation​

format​

when you assign format is json, you should also assign schema option, for example:

upstream data is the following:

{
  "code": 200,
  "data": "get success",
  "success": true
}

you should assign schema as the following:


schema {
  fields {
    code = int
    data = string
    success = boolean
  }
}

connector will generate data as the following:

codedatasuccess
200get successtrue

when you assign format is text, connector will do nothing for upstream data, for example:

upstream data is the following:

{
  "code": 200,
  "data": "get success",
  "success": true
}

connector will generate data as the following:

content
{"code": 200, "data": "get success", "success": true}

content_json​

This parameter can get some json data.If you only need the data in the 'book' section, configure content_field = "$.store.book.*".

If your return data looks something like this.

{
  "store": {
    "book": [
      {
        "category": "reference",
        "author": "Nigel Rees",
        "title": "Sayings of the Century",
        "price": 8.95
      },
      {
        "category": "fiction",
        "author": "Evelyn Waugh",
        "title": "Sword of Honour",
        "price": 12.99
      }
    ],
    "bicycle": {
      "color": "red",
      "price": 19.95
    }
  },
  "expensive": 10
}

You can configure content_field = "$.store.book.*" and the result returned looks like this:

[
  {
    "category": "reference",
    "author": "Nigel Rees",
    "title": "Sayings of the Century",
    "price": 8.95
  },
  {
    "category": "fiction",
    "author": "Evelyn Waugh",
    "title": "Sword of Honour",
    "price": 12.99
  }
]

Then you can get the desired result with a simpler schema,like

Http {
  url = "http://mockserver:1080/contentjson/mock"
  method = "GET"
  format = "json"
  content_field = "$.store.book.*"
  schema = {
    fields {
      category = string
      author = string
      title = string
      price = string
    }
  }
}

Here is an example:

json_field​

This parameter helps you configure the schema,so this parameter must be used with schema.

If your data looks something like this:

{ 
  "store": {
    "book": [
      {
        "category": "reference",
        "author": "Nigel Rees",
        "title": "Sayings of the Century",
        "price": 8.95
      },
      {
        "category": "fiction",
        "author": "Evelyn Waugh",
        "title": "Sword of Honour",
        "price": 12.99
      }
    ],
    "bicycle": {
      "color": "red",
      "price": 19.95
    }
  },
  "expensive": 10
}

You can get the contents of 'book' by configuring the task as follows:

source {
  Http {
    url = "http://mockserver:1080/jsonpath/mock"
    method = "GET"
    format = "json"
    json_field = {
      category = "$.store.book[*].category"
      author = "$.store.book[*].author"
      title = "$.store.book[*].title"
      price = "$.store.book[*].price"
    }
    schema = {
      fields {
        category = string
        author = string
        title = string
        price = string
      }
    }
  }
}

Changelog​

next version​

  • Add My Hours Source Connector
  • [Feature][Connector-V2][HTTP] Use json-path parsing (3510)