Beispiel #1
0
 def sync_to_db(cls, name):
     datasource = db.session.query(cls).filter_by(datasource_name=name).first()
     if not datasource:
         db.session.add(cls(datasource_name=name))
     cols = cls.latest_metadata(name)
     if not cols:
         return
     for col in cols:
         col_obj = (
             db.session
             .query(Column)
             .filter_by(datasource_name=name, column_name=col)
             .first()
         )
         datatype = cols[col]['type']
         if not col_obj:
             col_obj = Column(datasource_name=name, column_name=col)
             db.session.add(col_obj)
         if datatype == "STRING":
             col_obj.groupby = True
             col_obj.filterable = True
         if col_obj:
             col_obj.type = cols[col]['type']
         col_obj.generate_metrics()
     db.session.commit()
Beispiel #2
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    def sync_to_db(cls, name, cluster):
        session = get_session()
        datasource = session.query(cls).filter_by(datasource_name=name).first()
        if not datasource:
            datasource = cls(datasource_name=name)
            session.add(datasource)
        datasource.cluster = cluster

        cols = datasource.latest_metadata()
        if not cols:
            return
        for col in cols:
            col_obj = (
                session
                .query(Column)
                .filter_by(datasource_name=name, column_name=col)
                .first()
            )
            datatype = cols[col]['type']
            if not col_obj:
                col_obj = Column(datasource_name=name, column_name=col)
                session.add(col_obj)
            if datatype == "STRING":
                col_obj.groupby = True
                col_obj.filterable = True
            if col_obj:
                col_obj.type = cols[col]['type']
            col_obj.datasource = datasource
            col_obj.generate_metrics()
Beispiel #3
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    def sync_to_db(cls, name, cluster):
        session = get_session()
        datasource = session.query(cls).filter_by(datasource_name=name).first()
        if not datasource:
            datasource = cls(datasource_name=name)
            session.add(datasource)
        datasource.cluster = cluster

        cols = datasource.latest_metadata()
        if not cols:
            return
        for col in cols:
            col_obj = (
                session
                .query(Column)
                .filter_by(datasource_name=name, column_name=col)
                .first()
            )
            datatype = cols[col]['type']
            if not col_obj:
                col_obj = Column(datasource_name=name, column_name=col)
                session.add(col_obj)
            if datatype == "STRING":
                col_obj.groupby = True
                col_obj.filterable = True
            if col_obj:
                col_obj.type = cols[col]['type']
            col_obj.datasource = datasource
            col_obj.generate_metrics()
Beispiel #4
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 def sync_to_db(cls, name):
     datasource = db.session.query(cls).filter_by(
         datasource_name=name).first()
     if not datasource:
         db.session.add(cls(datasource_name=name))
     cols = cls.latest_metadata(name)
     if not cols:
         return
     for col in cols:
         col_obj = (db.session.query(Column).filter_by(
             datasource_name=name, column_name=col).first())
         datatype = cols[col]['type']
         if not col_obj:
             col_obj = Column(datasource_name=name, column_name=col)
             db.session.add(col_obj)
         if datatype == "STRING":
             col_obj.groupby = True
             col_obj.filterable = True
         if col_obj:
             col_obj.type = cols[col]['type']
         col_obj.generate_metrics()
     db.session.commit()