Revision 3131
Added by Aaron Marcuse-Kubitza about 12 years ago
| sql_io.py | ||
|---|---|---|
| 167 | 167 |
if pkey_ == None: pkey_ = sql.pkey(db, table, recover=True) |
| 168 | 168 |
|
| 169 | 169 |
try: |
| 170 |
cur = sql.insert(db, table, row, pkey_, recover=True) |
|
| 170 |
cur = sql.insert(db, table, row, pkey_, recover=True, log_level=3.5)
|
|
| 171 | 171 |
if row_ct_ref != None and cur.rowcount >= 0: |
| 172 | 172 |
row_ct_ref[0] += cur.rowcount |
| 173 | 173 |
return sql.value(cur) |
| 174 | 174 |
except sql.DuplicateKeyException, e: |
| 175 | 175 |
row = sql_gen.ColDict(db, table, |
| 176 | 176 |
util.dict_subset_right_join(row, e.cols)) |
| 177 |
return sql.value(sql.select(db, table, [pkey_], row, recover=True)) |
|
| 177 |
return sql.value(sql.select(db, table, [pkey_], row, recover=True, |
|
| 178 |
log_level=3.5)) |
|
| 178 | 179 |
|
| 179 | 180 |
def get(db, table, row, pkey, row_ct_ref=None, create=False): |
| 180 | 181 |
'''Recovers from errors''' |
Also available in: Unified diff
sql_io.py: put(): Run data import queries with log_level=3.5 so they don't clutter the output at the normal import verbosity of 3