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- Spin up an Atlas cluster and load the sample dataset
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- Create an Atlas Search index on the ``movies`` collection
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- Write an :manual:`aggregation pipeline </aggregation>` with
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- the :atlas:`$searchBeta </reference/atlas-search/query-syntax>`
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+ the :atlas:`$search </reference/atlas-search/query-syntax>`
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operator
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- Create a :stitch:`Stitch </>` application to access your data
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- Create a web-based UI for your application
Original file line number Diff line number Diff line change @@ -55,7 +55,7 @@ content: |
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title : Write an aggregation pipeline query. (Optional)
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ref : write-agg
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content : |
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- Full-text search queries use the :atlas:`$searchBeta
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+ Full-text search queries use the :atlas:`$search
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</reference/atlas-search/query-syntax>` aggregation pipeline
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stage. If you'd like to learn more about constructing a full-text
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search query, proceed with the following steps. If you'd rather get
@@ -74,15 +74,15 @@ content: |
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#. Select the :guilabel:`Aggregations` tab in the top navigation.
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- #. Select :guilabel:`$searchBeta ` in the dropdown menu for the first
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+ #. Select :guilabel:`$search ` in the dropdown menu for the first
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aggregation stage.
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#. We'll use the :atlas:`search </reference/atlas-search/search/>`
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and :atlas:`highlight </reference/atlas-search/highlighting/>`
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operators to look for the search terms ``vampires and werewolves``
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in the ``fullplot`` field of our ``movies`` collection.
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- Enter the following text in the ``$searchBeta `` stage of your
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+ Enter the following text in the ``$search `` stage of your
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pipeline:
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.. code-block:: none
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let arg = payload.query.arg;
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return collection.aggregate([
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{
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- $searchBeta : {
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+ $search : {
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search: {
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query: arg,
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path:'fullplot',
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