issues

I've tried several approaches, but this is the current one:

sh echo $json-line | sqlite-utils insert json.db jsontable --truncate --alter --detect-types - In all cases, I get this error:

sh OverflowError: Python int too large to convert to SQLite INTEGER Traceback (most recent call last): File "/home/sean/.local/bin/sqlite-utils", line 8, in <module> sys.exit(cli()) File "/usr/lib/python3/dist-packages/click/core.py", line 764, in __call__ return self.main(*args, **kwargs) File "/usr/lib/python3/dist-packages/click/core.py", line 717, in main rv = self.invoke(ctx) File "/usr/lib/python3/dist-packages/click/core.py", line 1137, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/usr/lib/python3/dist-packages/click/core.py", line 956, in invoke return ctx.invoke(self.callback, **ctx.params) File "/usr/lib/python3/dist-packages/click/core.py", line 555, in invoke return callback(*args, **kwargs) File "/home/sean/.local/lib/python3.8/site-packages/sqlite_utils/cli.py", line 841, in insert insert_upsert_implementation( File "/home/sean/.local/lib/python3.8/site-packages/sqlite_utils/cli.py", line 780, in insert_upsert_implementation db[table].insert_all( File "/home/sean/.local/lib/python3.8/site-packages/sqlite_utils/db.py", line 2145, in insert_all self.insert_chunk( File "/home/sean/.local/lib/python3.8/site-packages/sqlite_utils/db.py", line 1957, in insert_chunk result = self.db.execute(query, params) File "/home/sean/.local/lib/python3.8/site-packages/sqlite_utils/db.py", line 257, in execute return self.conn.execute(sql, parameters)

I googled the error and checked SO answers and advice, all good. I changed my JSON file to not use integers so I no longer get this error. Of course, that makes using the database a bit harder, so I also tried to solve the problem by modifying DB structure (while using integers in JSON).

If change all INTEGER Data Types to something else (STRING, TEXT) and try to import again using --truncate, I still get this error. I suppose I should tell sqlite-utils which columns should use non-INTEGER Data Type rather than rely on it to check my SQL table configuration.

If that is the case, can this error be a bit more specific for easier troubleshooting - maybe tell us which which record caused the problem when that error is thrown?

My table has 60+ columns, many of which use 64-bit integers (not all records are large or known in advance), so while I can modify JSON to use strings instead of integers, it decreases usability and finding out which records have values for which SQLite integers aren't sufficient requires some work (I'm thinking about parsing all integers with jq and sorting output by length to identify those columns, but I'd prefer if sqlite-utils could tell me that).

My environment:

• Python 3.8.10
• sqlite-utils 3.14
• pandas 1.3.1
• numpy 1.21.1
• sqlite-fts4 1.0.1
• sqlite 3.31.1-4ubuntu0.2