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ravi_azureadbadf's Issues

dynamic_json_process.ipynb will not run if array type exists within the first level.

In the dynamic_json_process notebook, the below snippet will not flatten the json unless there is an array column present in the first level.

For example, df_output = master_array(df_json.select('goods')) does nothing since there is no array dtype present in the first level. To fix change the code from:

def master_array(df):
    array_cols = [c[0] for c in df.dtypes if c[1][:5]=="array"]
    while len(array_cols)>0:
        for c in array_cols:
            df = df.withColumn(c,explode_outer(c))
        df = child_struct(df)
        array_cols = [c[0] for c in df.dtypes if c[1][:5]=="array"]
    return df

to

def master_array(df):

    find_nested_data = True

    while find_nested_data:

        array_cols = [c[0] for c in df.dtypes if (c[1])[:5] == 'array']

        for c in array_cols:
            df = df.withColumn(c, explode_outer(c))

        df = child_struct(df)
        array_cols = [c[0] for c in df.dtypes if (c[1])[:5] == 'array']

        if len(array_cols) == 0:
            find_nested_data = False

    return df

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