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18 rows where "created_at" is on date 2020-05-01 sorted by created_at
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id | html_url | issue_url | node_id | user | created_at ▼ | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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622213950 | https://github.com/dogsheep/github-to-sqlite/issues/35#issuecomment-622213950 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/35 | MDEyOklzc3VlQ29tbWVudDYyMjIxMzk1MA== | simonw 9599 | 2020-05-01T02:09:04Z | 2020-05-01T02:09:04Z | MEMBER | It sped up this query a lot - 2.5s down to 300ms:
|
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Create index on issue_comments(user) and other foreign keys 610511450 | |
622214262 | https://github.com/dogsheep/github-to-sqlite/issues/35#issuecomment-622214262 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/35 | MDEyOklzc3VlQ29tbWVudDYyMjIxNDI2Mg== | simonw 9599 | 2020-05-01T02:10:32Z | 2020-05-01T02:11:19Z | MEMBER | This sped that query up even more - down to 4ms.
|
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Create index on issue_comments(user) and other foreign keys 610511450 | |
622279374 | https://github.com/dogsheep/github-to-sqlite/issues/33#issuecomment-622279374 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/33 | MDEyOklzc3VlQ29tbWVudDYyMjI3OTM3NA== | garethr 2029 | 2020-05-01T07:12:47Z | 2020-05-01T07:12:47Z | NONE | I also go it working with:
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Fall back to authentication via ENV 609950090 | |
622450636 | https://github.com/simonw/datasette/issues/749#issuecomment-622450636 | https://api.github.com/repos/simonw/datasette/issues/749 | MDEyOklzc3VlQ29tbWVudDYyMjQ1MDYzNg== | simonw 9599 | 2020-05-01T16:08:46Z | 2020-05-01T16:08:46Z | OWNER | Proposed solution: on Cloud Run don't show the "download database" link if the database file is larger than 32MB. I can do this with a new config setting, This is consistent with the existing I should set |
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Cloud Run fails to serve database files larger than 32MB 610829227 | |
622461025 | https://github.com/dogsheep/github-to-sqlite/issues/36#issuecomment-622461025 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/36 | MDEyOklzc3VlQ29tbWVudDYyMjQ2MTAyNQ== | simonw 9599 | 2020-05-01T16:34:24Z | 2020-05-01T16:34:24Z | MEMBER | Blocked on #37 |
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Add view for better display of dependent repos 610842926 | |
622461122 | https://github.com/dogsheep/github-to-sqlite/issues/10#issuecomment-622461122 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/10 | MDEyOklzc3VlQ29tbWVudDYyMjQ2MTEyMg== | simonw 9599 | 2020-05-01T16:34:39Z | 2020-05-01T16:34:39Z | MEMBER | Blocked on #37 |
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Add this repos_starred view 516967682 | |
622461223 | https://github.com/dogsheep/github-to-sqlite/issues/12#issuecomment-622461223 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/12 | MDEyOklzc3VlQ29tbWVudDYyMjQ2MTIyMw== | simonw 9599 | 2020-05-01T16:34:52Z | 2020-05-01T16:34:52Z | MEMBER | Blocked on #37 |
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Add this view for seeing new releases 520756546 | |
622461537 | https://github.com/dogsheep/github-to-sqlite/issues/37#issuecomment-622461537 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/37 | MDEyOklzc3VlQ29tbWVudDYyMjQ2MTUzNw== | simonw 9599 | 2020-05-01T16:35:40Z | 2020-05-01T16:35:40Z | MEMBER | This will check if the view exists and has the exact same matching definition as the one we want. If it doesn't, we will drop it (if it exists) and recreate it. |
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Mechanism for creating views if they don't yet exist 610843136 | |
622461948 | https://github.com/dogsheep/github-to-sqlite/issues/37#issuecomment-622461948 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/37 | MDEyOklzc3VlQ29tbWVudDYyMjQ2MTk0OA== | simonw 9599 | 2020-05-01T16:36:42Z | 2020-05-01T16:36:42Z | MEMBER | It should only create views if the underlying tables exist. |
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Mechanism for creating views if they don't yet exist 610843136 | |
622558889 | https://github.com/simonw/sqlite-utils/issues/105#issuecomment-622558889 | https://api.github.com/repos/simonw/sqlite-utils/issues/105 | MDEyOklzc3VlQ29tbWVudDYyMjU1ODg4OQ== | simonw 9599 | 2020-05-01T20:40:06Z | 2020-05-01T20:40:06Z | OWNER | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
"sqlite-utils views" command 610853576 | ||
622561585 | https://github.com/simonw/sqlite-utils/issues/103#issuecomment-622561585 | https://api.github.com/repos/simonw/sqlite-utils/issues/103 | MDEyOklzc3VlQ29tbWVudDYyMjU2MTU4NQ== | simonw 9599 | 2020-05-01T20:46:50Z | 2020-05-01T20:46:50Z | OWNER | The varying number of columns thing is interesting - I don't think the tests cover that case much if at all. |
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sqlite3.OperationalError: too many SQL variables in insert_all when using rows with varying numbers of columns 610517472 | |
622561944 | https://github.com/simonw/sqlite-utils/issues/103#issuecomment-622561944 | https://api.github.com/repos/simonw/sqlite-utils/issues/103 | MDEyOklzc3VlQ29tbWVudDYyMjU2MTk0NA== | simonw 9599 | 2020-05-01T20:47:51Z | 2020-05-01T20:47:51Z | OWNER | Yup we only take the number of columns in the first record into account at the moment: https://github.com/simonw/sqlite-utils/blob/d56029549acae0b0ea94c5a0f783e3b3895d9218/sqlite_utils/db.py#L1007-L1016 |
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sqlite3.OperationalError: too many SQL variables in insert_all when using rows with varying numbers of columns 610517472 | |
622563059 | https://github.com/simonw/sqlite-utils/issues/103#issuecomment-622563059 | https://api.github.com/repos/simonw/sqlite-utils/issues/103 | MDEyOklzc3VlQ29tbWVudDYyMjU2MzA1OQ== | simonw 9599 | 2020-05-01T20:51:01Z | 2020-05-01T20:51:01Z | OWNER | I'm not sure what to do about this. I was thinking the solution would be to look at ALL of the rows in a batch before deciding on the maximum number of columns, but that doesn't work because we calculate batch size based on the number of columns! I think my recommendation here is to manually pass a |
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sqlite3.OperationalError: too many SQL variables in insert_all when using rows with varying numbers of columns 610517472 | |
622563188 | https://github.com/simonw/sqlite-utils/issues/103#issuecomment-622563188 | https://api.github.com/repos/simonw/sqlite-utils/issues/103 | MDEyOklzc3VlQ29tbWVudDYyMjU2MzE4OA== | simonw 9599 | 2020-05-01T20:51:24Z | 2020-05-01T20:51:29Z | OWNER | Hopefully anyone who runs into this problem in the future will search for and find this issue thread! |
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sqlite3.OperationalError: too many SQL variables in insert_all when using rows with varying numbers of columns 610517472 | |
622565276 | https://github.com/simonw/sqlite-utils/issues/103#issuecomment-622565276 | https://api.github.com/repos/simonw/sqlite-utils/issues/103 | MDEyOklzc3VlQ29tbWVudDYyMjU2NTI3Ng== | simonw 9599 | 2020-05-01T20:57:16Z | 2020-05-01T20:57:16Z | OWNER | I'm reconsidering this: I think this is going to happen ANY time someone has at least one row that is wider than the first row. So at the very least I should show a more understandable error message. |
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sqlite3.OperationalError: too many SQL variables in insert_all when using rows with varying numbers of columns 610517472 | |
622584433 | https://github.com/simonw/sqlite-utils/issues/103#issuecomment-622584433 | https://api.github.com/repos/simonw/sqlite-utils/issues/103 | MDEyOklzc3VlQ29tbWVudDYyMjU4NDQzMw== | simonw 9599 | 2020-05-01T21:57:52Z | 2020-05-01T21:57:52Z | OWNER | @b0b5h4rp13 I'm having trouble creating a test that triggers this bug. Could you share a chunk of code that replicates what you're seeing here? |
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sqlite3.OperationalError: too many SQL variables in insert_all when using rows with varying numbers of columns 610517472 | |
622587177 | https://github.com/simonw/sqlite-utils/issues/103#issuecomment-622587177 | https://api.github.com/repos/simonw/sqlite-utils/issues/103 | MDEyOklzc3VlQ29tbWVudDYyMjU4NzE3Nw== | simonw 9599 | 2020-05-01T22:07:51Z | 2020-05-01T22:07:51Z | OWNER | This is my failed attempt to recreate the bug (plus some extra debugging output): ```diff % git diff diff --git a/sqlite_utils/db.py b/sqlite_utils/db.py index dd49d5c..ea42aea 100644 --- a/sqlite_utils/db.py +++ b/sqlite_utils/db.py @@ -1013,7 +1013,11 @@ class Table(Queryable): assert ( num_columns <= SQLITE_MAX_VARS ), "Rows can have a maximum of {} columns".format(SQLITE_MAX_VARS) + print("default batch_size = ", batch_size) batch_size = max(1, min(batch_size, SQLITE_MAX_VARS // num_columns)) + print("new batch_size = {},num_columns = {}, MAX_VARS // num_columns = {}".format( + batch_size, num_columns, SQLITE_MAX_VARS // num_columns + )) self.last_rowid = None self.last_pk = None for chunk in chunks(itertools.chain([first_record], records), batch_size): @@ -1124,6 +1128,9 @@ class Table(Queryable): ) flat_values = list(itertools.chain(*values)) queries_and_params = [(sql, flat_values)] + print(sql.count("?"), len(flat_values)) + + # print(json.dumps(queries_and_params, indent=4))
diff --git a/tests/test_create.py b/tests/test_create.py index 5290cd8..52940df 100644 --- a/tests/test_create.py +++ b/tests/test_create.py @@ -853,3 +853,33 @@ def test_create_with_nested_bytes(fresh_db): record = {"id": 1, "data": {"foo": b"bytes"}} fresh_db["t"].insert(record) assert [{"id": 1, "data": '{"foo": "b\'bytes\'"}'}] == list(fresh_db["t"].rows) + + +def test_create_throws_useful_error_with_increasing_number_of_columns(fresh_db): + # https://github.com/simonw/sqlite-utils/issues/103 + def rows(): + yield {"name": 0} + for i in range(1, 1001): + yield { + "name": i, + "age": i, + "size": i, + "name2": i, + "age2": i, + "size2": i, + "name3": i, + "age3": i, + "size3": i, + "name4": i, + "age4": i, + "size4": i, + "name5": i, + "age5": i, + "size5": i, + "name6": i, + "age6": i, + "size6": i, + } + + fresh_db["t"].insert_all(rows()) + assert 1001 == fresh_db["t"].count ``` |
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sqlite3.OperationalError: too many SQL variables in insert_all when using rows with varying numbers of columns 610517472 | |
622599528 | https://github.com/simonw/sqlite-utils/issues/103#issuecomment-622599528 | https://api.github.com/repos/simonw/sqlite-utils/issues/103 | MDEyOklzc3VlQ29tbWVudDYyMjU5OTUyOA== | b0b5h4rp13 32605365 | 2020-05-01T22:49:12Z | 2020-05-02T11:15:44Z | CONTRIBUTOR | With SQLITE_MAX_VARS = 999, or even 899, This hits the problem with the batch rows causing a overflow (works fine if SQLITE_MAX_VARS = 799). p.s. I have tried a few list of dicts to sqlite modules and this was the easiest to use/understand ------------- file begins ------------------ import sqlite_utils as su data = [ {'tickerId': 913324382, 'exchangeId': 11, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'CONSTELLATION B', 'symbol': 'STZ B', 'disSymbol': 'STZ-B', 'disExchangeCode': 'NYSE', 'exchangeCode': 'NYSE', 'listStatus': 1, 'template': 'stock', 'status': 'D', 'close': '163.13', 'change': '6.46', 'changeRatio': '0.0412', 'marketValue': '31180699895.63', 'volume': '417', 'turnoverRate': '0.0000'}, {'tickerId': 913323791, 'exchangeId': 11, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Molina Health', 'symbol': 'MOH', 'disSymbol': 'MOH', 'disExchangeCode': 'NYSE', 'exchangeCode': 'NYSE', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'D', 'close': '173.25', 'change': '9.28', 'changeRatio': '0.0566', 'pPrice': '173.25', 'pChange': '0.0000', 'pChRatio': '0.0000', 'marketValue': '10520341695.50', 'volume': '1281557', 'turnoverRate': '0.0202'}, {'tickerId': 913257501, 'exchangeId': 96, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Seattle Genetics', 'symbol': 'SGEN', 'disSymbol': 'SGEN', 'disExchangeCode': 'NASDAQ', 'exchangeCode': 'NSQ', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'A', 'close': '145.64', 'change': '8.41', 'changeRatio': '0.0613', 'pPrice': '146.45', 'pChange': '0.8100', 'pChRatio': '0.0056', 'marketValue': '25117961347.60', 'volume': '2791411', 'turnoverRate': '0.0162'}, {'tickerId': 925381971, 'exchangeId': 96, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Bandwidth', 'symbol': 'BAND', 'disSymbol': 'BAND', 'disExchangeCode': 'NASDAQ', 'exchangeCode': 'NSQ', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'D', 'close': '89.22', 'change': '7.66', 'changeRatio': '0.0939', 'pPrice': '89.00', 'pChange': '-0.2200', 'pChRatio': '-0.0025', 'marketValue': '2100025474.98', 'volume': '1508629', 'turnoverRate': '0.0641'}, {'tickerId': 913323935, 'exchangeId': 96, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Magellan Health', 'symbol': 'MGLN', 'disSymbol': 'MGLN', 'disExchangeCode': 'NASDAQ', 'exchangeCode': 'NSQ', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'A', 'close': '68.00', 'change': '7.27', 'changeRatio': '0.1197', 'pPrice': '68.00', 'pChange': '0.0000', 'pChRatio': '0.0000', 'marketValue': '1697894040.00', 'volume': '448919', 'turnoverRate': '0.0180'}, {'tickerId': 913254854, 'exchangeId': 11, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'On Assignment', 'symbol': 'ASGN', 'disSymbol': 'ASGN', 'disExchangeCode': 'NYSE', 'exchangeCode': 'NYSE', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'A', 'close': '53.04', 'change': '6.59', 'changeRatio': '0.1419', 'pPrice': '53.04', 'pChange': '0.0000', 'pChRatio': '0.0000', 'marketValue': '2811120000.00', 'volume': '1339771', 'turnoverRate': '0.0253'}, {'tickerId': 913255732, 'exchangeId': 95, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Arcturus', 'symbol': 'ARCT', 'disSymbol': 'ARCT', 'disExchangeCode': 'NASDAQ', 'exchangeCode': 'NMS', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'A', 'close': '40.86', 'change': '6.36', 'changeRatio': '0.1843', 'pPrice': '42.60', 'pChange': '1.740', 'pChRatio': '0.0426', 'marketValue': '812021444.46', 'volume': '1577508', 'turnoverRate': '0.0794'}, {'tickerId': 913256616, 'exchangeId': 96, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'DexCom', 'symbol': 'DXCM', 'disSymbol': 'DXCM', 'disExchangeCode': 'NASDAQ', 'exchangeCode': 'NSQ', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'A', 'close': '341.52', 'change': '6.32', 'changeRatio': '0.0189', 'pPrice': '340.00', 'pChange': '-1.5200', 'pChRatio': '-0.0045', 'marketValue': '31522296000.00', 'volume': '1008849', 'turnoverRate': '0.0109'}, {'tickerId': 913255108, 'exchangeId': 11, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Clorox', 'symbol': 'CLX', 'disSymbol': 'CLX', 'disExchangeCode': 'NYSE', 'exchangeCode': 'NYSE', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'A', 'close': '192.71', 'change': '6.27', 'changeRatio': '0.0336', 'pPrice': '192.95', 'pChange': '0.2400', 'pChRatio': '0.0012', 'marketValue': '24185773318.28', 'volume': '4996414', 'turnoverRate': '0.0398'}, {'tickerId': 925314627, 'exchangeId': 11, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'FRANCO NEVADA', 'symbol': 'FNV', 'disSymbol': 'FNV', 'disExchangeCode': 'NYSE', 'exchangeCode': 'NYSE', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'A', 'close': '137.85', 'change': '5.64', 'changeRatio': '0.0427', 'pPrice': '138.50', 'pChange': '0.6500', 'pChRatio': '0.0047', 'marketValue': '26110405326.30', 'volume': '1047688', 'turnoverRate': '0.0055'}, {'tickerId': 913254955, 'exchangeId': 11, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Aon Plc', 'symbol': 'AON', 'disSymbol': 'AON', 'disExchangeCode': 'NYSE', 'exchangeCode': 'NYSE', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'A', 'close': '178.21', 'change': '5.54', 'changeRatio': '0.0321', 'pPrice': '178.21', 'pChange': '0.0000', 'pChRatio': '0.0000', 'marketValue': '41181209117.22', 'volume': '2026234', 'turnoverRate': '0.0088'}, {'tickerId': 913324105, 'exchangeId': 96, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Willis Towers', 'symbol': 'WLTW', 'disSymbol': 'WLTW', 'disExchangeCode': 'NASDAQ', 'exchangeCode': 'NSQ', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'D', 'close': '183.34', 'change': '5.05', 'changeRatio': '0.0283', 'pPrice': '183.34', 'pChange': '0.0000', 'pChRatio': '0.0000', 'marketValue': '23597461124.96', 'volume': '968943', 'turnoverRate': '0.0075'}, {'tickerId': 913254759, 'exchangeId': 11, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'TELADOC HEALTH', 'symbol': 'TDOC', 'disSymbol': 'TDOC', 'disExchangeCode': 'NYSE', 'exchangeCode': 'NYSE', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'A', 'close': '169.43', 'change': '4.84', 'changeRatio': '0.0294', 'pPrice': '168.88', 'pChange': '-0.5500', 'pChRatio': '-0.0032', 'marketValue': '12614616858.38', 'volume': '2628946', 'turnoverRate': '0.0353'}, {'tickerId': 913255222, 'exchangeId': 11, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Emergent Bio', 'symbol': 'EBS', 'disSymbol': 'EBS', 'disExchangeCode': 'NYSE', 'exchangeCode': 'NYSE', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'D', 'close': '78.70', 'change': '4.75', 'changeRatio': '0.0642', 'pPrice': '78.40', 'pChange': '-0.3000', 'pChRatio': '-0.0038', 'marketValue': '4113368277.10', 'volume': '783804', 'turnoverRate': '0.0150'}, {'tickerId': 913323443, 'exchangeId': 96, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 'Pool', 'symbol': 'POOL', 'disSymbol': 'POOL', 'disExchangeCode': 'NASDAQ', 'exchangeCode': 'NSQ', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'A', 'close': '216.02', 'change': '4.36', 'changeRatio': '0.0206', 'pPrice': '216.02', 'pChange': '0.0000', 'pChRatio': '0.0000', 'marketValue': '8696077573.82', 'volume': '310837', 'turnoverRate': '0.0077'}, {'tickerId': 913257075, 'exchangeId': 96, 'type': 2, 'secType': 61, 'regionId': 6, 'regionCode': 'US', 'currencyId': 247, 'name': 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'West Pharm Svc', 'symbol': 'WST', 'disSymbol': 'WST', 'disExchangeCode': 'NYSE', 'exchangeCode': 'NYSE', 'listStatus': 1, 'template': 'stock', 'derivativeSupport': 1, 'status': 'D', 'close': '191.64', 'change': '2.38', 'changeRatio': '0.0126', 'pPrice': '191.64', 'pChange': '0.0000', 'pChRatio': '0.0000', 'marketValue': '14078267117.08', 'volume': '352460', 'turnoverRate': '0.0042'} ] db = su.Database(f"overnight hold.db" ) db['active'].insert_all(data) --------------- file ends ---------------------- |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
sqlite3.OperationalError: too many SQL variables in insert_all when using rows with varying numbers of columns 610517472 |
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CREATE TABLE [issue_comments] ( [html_url] TEXT, [issue_url] TEXT, [id] INTEGER PRIMARY KEY, [node_id] TEXT, [user] INTEGER REFERENCES [users]([id]), [created_at] TEXT, [updated_at] TEXT, [author_association] TEXT, [body] TEXT, [reactions] TEXT, [issue] INTEGER REFERENCES [issues]([id]) , [performed_via_github_app] TEXT); CREATE INDEX [idx_issue_comments_issue] ON [issue_comments] ([issue]); CREATE INDEX [idx_issue_comments_user] ON [issue_comments] ([user]);
issue 9