This creates a nested DataFrame. Write out nested DataFrame as a JSON file Use therepartition().write.optionfunction to write the nested DataFrame to a JSON file. %scala nestedDF.repartition(1).write.option("multiLine","true").json("dbfs:/tmp/test/json1/") Example notebook Review theDataFrame to nested JSON example note...
This creates a nested DataFrame. Write out nested DataFrame as a JSON file Use therepartition().write.optionfunction to write the nested DataFrame to a JSON file. %scala nestedDF.repartition(1).write.option("multiLine","true").json("dbfs:/tmp/test/json1/") Example notebook Review theDat...
In@blobContainer, enter the name of the blob container that stores the sample JSON files. Create objects and queryu the index Send each request to create a data source, indexer, and index used in this example. The last set of requests query the search index. For more information ab...
# An example of Pipeline Design Pipeline Components: - Get Metadata Activity**: Retrieve file list. - For Each Activity**: - Inside loop: - Copy Activity: - Source: JSON file (entire content). - Sink: Azure SQL table (`json_content` + `file_name`). SQL Table Schema: - ...
Sample JSON file Pass the sample JSON string to the reader. %scala val json =""" { "id": "0001", "type": "donut", "name": "Cake", "ppu": 0.55, "batters": { "batter": [ { "id": "1001", "type": "Regular" },
json-flattener A Java utility is designed to FLATTEN nested JSON objects and even more to UNFLATTEN them back. Purpose Converts a nested JSON {"a": {"b":1,"c":null,"d": [false,true] },"e":"f","g":2.3} into a flattened JSON ...
{sqlite_file_name}" engine = create_engine(sqlite_url) class J2(SQLModel): test: List[int] class J(SQLModel): j: int nested: J2 class A(SQLModel, table=True): a: int = Field(primary_key=True) b: J = Field(sa_column=Column(JSON)) @validator('b') def val_b(cls, val): ...
For example, if we wanted to find the same top reviewers as before, but only for 5 star reviews: $ curl http://localhost:8983/solr/demo/query -d ' q=cat_s:(sci-fi OR fantasy)&fl=id,title_t& json.facet={ top_reviewers : { ...
package.json polyfills.ts styles.css table-expandable-rows-example.ts 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
For more information about the data structure during query design, seeQuerying JSON. The following table shows how to extract the data, starting at the root of the record in the first example. The table includes additional examples on how to navigate further down the document ...