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\n\ncontext.updateGridVariable('advanced_connection_options', new_opts)\nprint(\"Updated Grid Variable `advanced_connection_options`: {}\".format(new_opts))"}}}},"visible":true,"status":{},"columnNames":[]},"3":{"slot":3,"name":"Interpreter","elements":{"1":{"slot":1,"values":{"1":{"slot":1,"type":"STRING","value":"Python 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magic_vars:\n      context.updateVariable(magic_vars[p], val)\n    # otherwise, its a normal connection option \n    else:\n      filtered.append( [param, val] )\n    \n  context.updateGridVariable('advanced_connection_options', filtered)\n  \n  \n  "}}}},"visible":true,"status":{},"columnNames":[]},"3":{"slot":3,"name":"Interpreter","elements":{"1":{"slot":1,"values":{"1":{"slot":1,"type":"STRING","value":"Python 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This means we need to ensure that \n## 'Date' column is attached to every source\ncols_per_source = {\n\tx[0]: []\n  for x in context.getGridVariable('distinct_table_names') or []\n}\n\n\n## attach all columns to each source \nfor row in context.getGridVariable('source_list') or []:\n  \n  src = row[0]\n  col = row[1]\n  \n  if col not in cols_per_source[src]:\n    cols_per_source[src].append(col)\n\n    \nnew = []\n## ensure Date is in each of the source list \nfor src, cols in cols_per_source.iteritems():\n  \n  if \"Date\" not in cols:\n    cols_per_source[src].append(\"Date\")\n    \n  for c in cols:\n    new.append(\n    [\n        src,\n        c,\n        1 if c == \"Date\" else 0, \n        0\n    ]\n    )\n  \n    \ncontext.updateGridVariable('internal_source_list', new)\nprint(\"Updated Grid Variable `internal_source_list`:{}\".format(context.getGridVariable('internal_source_list')))"}}}},"visible":true,"status":{},"columnNames":[]},"3":{"slot":3,"name":"Interpreter","elements":{"1":{"slot":1,"values":{"1":{"slot":1,"type":"STRING","value":"Jython"}}}},"visible":true,"status":{},"columnNames":[]},"4":{"slot":4,"name":"Timeout","elements":{"1":{"slot":1,"values":{"1":{"slot":1,"type":"INTEGER","value":"360"}}}},"visible":false,"status":{},"columnNames":[]}},"validationStatus":{},"status":{},"expectedFailure":null,"activationStatus":"ENABLED","outputIterationConnectorIDs":[],"inputIterationConnectorIDs":[]}},"successConnectors":{"9809":{"id":9809,"sourceID":9807,"targetID":9806},"9810":{"id":9810,"sourceID":9797,"targetID":9798},"9811":{"id":9811,"sourceID":9800,"targetID":9802},"9812":{"id":9812,"sourceID":9806,"targetID":9797},"9813":{"id":9813,"sourceID":9800,"targetID":9805},"9814":{"id":9814,"sourceID":9808,"targetID":9800},"9815":{"id":9815,"sourceID":9798,"targetID":9808}},"failureConnectors":{"9818":{"id":9818,"sourceID":9800,"targetID":9803}},"unconditionalConnectors":{"9817":{"id":9817,"sourceID":9801,"targetID":9807}},"trueConnectors":{"9816":{"id":9816,"sourceID":9805,"targetID":9804}},"falseConnectors":{},"iterationConnectors":{"9819":{"id":9819,"sourceID":9800,"targetID":9799}},"noteConnectors":{},"canUndo":true,"undoCommand":"Set Parameter","undoCreated":1623239485572,"canRedo":false,"redoCommand":"","redoCreated":-1,"notes":{"9795":{"id":9795,"x":-1353,"y":-392,"width":624,"height":463,"text":"**Gmail Incremental Load** \n\nRoot (Stage 1) Orchestration Job of the Matillion Incremental Load pattern. \nThis job is the entry point of the shared job and is responsible for validating and reformatting some of the supplied data.\nThe pattern aims to synchronize INSERTS and UPDATES in a particular source, to a table within the relevant Cloud Data Warehouse.\n\n**Pattern Overview**\n\nThere are 4 distinct stages, each stage is represented by an orchestration job using the naming convention:\n__**<Source Name> - <Stage Number> - <Stage Name>**__\n\n+ **Stage 1** -  performs input validation and prepares the variables for **Stage 3**\n\n+ **Stage 2** - wrapper for **Stage 3** to ensure that in the case of any errors, relevant staging tables are nicely cleaned up.\n\n+ **Stage 3** - Orchestration job containing the ETL logic for a single source table.\n\n+ **Stage 4** - wrapper orchestration job to Query the underlying source. This is abstracted away from the rest of the logic to make the pattern more reusable.\n\nMore detailed information and specifics relating to each connector can be found within each job.\n\n\n======================================================================================================================================================================================================","colour":"00ce4f"},"9796":{"id":9796,"x":-557,"y":-235,"width":791,"height":312,"text":"** Prepare User Input **\n\n- (__Magic Variables__) Script that extracts some special variables from connection options. These are used internally to allow us to use 'hidden' variables that will not affect the slots of the shared job. Currently, this is used to switch on CData logging.\n\n- (__Update Connection Options__) Gmail requires us to always use some specific Connection Options, which are added in this script.\n\n- (__Get Unique Table Names__) Script to extract a list of table names from the source. This list is then iterated over, and the same ETL logic is applied to each source. This information is stored in the __distinct_table_names__ grid variable.\n\n- (__Update [Environment Default]__) Script to replace any [Environment Default] values with their actual value.\n\n- (__Fix Source List__) Gmail uses the 'Date' as an incremental columns, which is present on all sources, so we ensure its added here.\n\n- (__2 - Wrapper__) Iterate over each of the __distinct_table_names__ and call the lower level ETL process for each table in the source.","colour":"e6e63c"}},"variables":{"oauth":{"definition":{"name":"oauth","type":"TEXT","scope":"BRANCH","description":"The name of the OAuth entry to be used from the Matillion OAuth Manager to connect to the source. 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