![]() The DEFINER clause specifies the security context (access privileges) for the routine execution. On the right toolbar, you can find the following controls: In the Database tool window ( View | Tool Windows | Database), right-click a database object and select SQL Scripts | SQL Generator… Command Alt G. Generate DDL definitions for database objects In P圜harm, you can generate data definition structures by using shortcuts with predefined settings or by using the SQL Generator and customize the export settings. Export object structuresĭata definition language (DDL) defines the structure of a database, including rows, columns, tables, indexes, and other elements. ![]() For more information, see Create a full data dump for MySQL and PostgreSQL. The full data dump includes structures of all database objects and data of these objects in a single file. The full data dump is available for PostgreSQL and MySQL with the help of mysqldump and pg_dump. It means that you can export a structure of a table or a view and then export data from these objects. In P圜harm, you export object structures and data separately. ![]() You can select a predefined data extractor or create your own. Also, you can export data in TXT, CSV, JSON, XML, Markdown, Excel, and other formats. These methods include usage of various generators, data extractors, and shortcuts. I added double quotes in the Excel file to this string but when i rerun the script i get the same error message.You can use a variety of methods to export data and object structures from your databases. Apparently it has to do with the fact that certain json data in line 1 column 2 (char 1) is not between double quotes. I read the traceback that states the specific lines of code were the problem occurs. : Expecting property name enclosed in double quotes: line 1 column 2 (char 1) Obj, end = self.raw_decode(s, idx=_w(s, 0).end())įile "C:\Users\Madink\Desktop\Lib\json\decoder.py", line 353, in raw_decode Return SeriesApply(self, func, convert_dtype, args, kwargs).apply()įile "C:\Users\Maardink\Desktop\Lib\site-packages\pandas\core\apply.py", line 1025, in applyįile "C:\Users\Maardink\Desktop\Lib\site-packages\pandas\core\apply.py", line 1076, in apply_standardįile "pandas\_libs\lib.pyx", line 2834, in pandas._inferįile "C:\Users\Maaerdink\Desktop\Lib\json\_init_.py", line 346, in loadsįile "C:\Users\Maartdink\Desktop\Lib\json\decoder.py", line 337, in decode ![]() I get this error: Traceback (most recent call last):įile "C:/Users/Maarerdink/Desktop/file_data_columns_split.py", line 9, in įile "C:\Users\Maarteerdink\Desktop\Lib\site-packages\pandas\core\series.py", line 4630, in apply ' Merge the normalized data with the original DataFrameĭf = pd.concat(, axis=1) ' Use the 'pandas.json_normalize()' functionĭf_normalized = pd.json_normalize(df) ' Assuming te JSON data contains nested dictionaries and you want to split them into separate ' ' ' columns ' Use the 'json.loads()' function to convert the JSON strings to Python dictionariesĭf = df.apply(json.loads) ' Assuming the JSON data is stored in a column named 'conversations' ' Replace 'your_file.xlsx' with the actual path to your Excel fileĭf = pd.read_excel('file_data_columns_split.xlsx') The problem is that one of the columns contains dictionaries and as a result the data is not displayed in nice rows and columns. I used a python script to convert json data into an Excel file.
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