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# Database import/export
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import operator
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import exc
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import dicts
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import sql
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import sql_gen
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import strings
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import util
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##### Data cleanup
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def cleanup_table(db, table, cols):
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table = sql_gen.as_Table(table)
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cols = map(sql_gen.as_Col, cols)
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expr = ('nullif(nullif(trim(both from %s), '+db.esc_value('')+'), '
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+db.esc_value(r'\N')+')')
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changes = [(v, sql_gen.CustomCode(expr % v.to_str(db)))
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for v in cols]
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sql.update(db, table, changes, in_place=True)
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##### Error tracking
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def track_data_error(db, errors_table, cols, value, error_code, error):
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'''
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@param errors_table If None, does nothing.
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'''
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if errors_table == None or cols == (): return
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for col in cols:
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try:
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sql.insert(db, errors_table, dict(column=col.name, value=value,
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error_code=error_code, error=error), recover=True,
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cacheable=True, log_level=4)
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except sql.DuplicateKeyException: pass
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def data_exception_handler(db, return_, srcs=[], errors_table=None):
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'''Handles a data_exception by saving the error or converting it to a
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warning, and returning NULL.
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@param return_ Statement to return a default value in case of error
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@param srcs The column names for the errors table
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@param errors_table None|sql_gen.Table
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@pre The invalid value must be in a local variable "value" of type text.
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'''
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return_ = sql_gen.as_Code(return_)
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save_errors = errors_table != None and srcs
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handler = ''
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if save_errors:
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errors_table_cols = map(sql_gen.Col,
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['column', 'value', 'error_code', 'error'])
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col_names_query = sql.mk_select(db, sql_gen.NamedValues('c', None,
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[[c.name] for c in srcs]), order_by=None)
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insert_query = sql.mk_insert_select(db, errors_table, errors_table_cols,
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sql_gen.Values(errors_table_cols).to_str(db))+';\n'
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handler = '''\
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-- Save error in errors table.
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DECLARE
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error_code text := SQLSTATE;
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error text := SQLERRM;
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BEGIN
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-- Insert the value and error for *each* source column.
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'''+strings.indent(sql_gen.RowExcIgnore('text', col_names_query, insert_query,
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row_var=errors_table_cols[0]).to_str(db))+'''
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END;
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'''+return_.to_str(db)
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else: handler = sql_gen.ExcToWarning(return_)
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return sql_gen.ExcHandler('data_exception', handler)
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def cast(db, type_, col, errors_table=None):
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'''Casts an (unrenamed) column or value.
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If errors_table set and col has srcs, saves errors in errors_table (using
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col's srcs attr as source columns). Otherwise, converts errors to warnings.
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@param col str|sql_gen.Col|sql_gen.Literal
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@param errors_table None|sql_gen.Table|str
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'''
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col = sql_gen.as_Col(col)
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# Don't convert exceptions to warnings for user-supplied constants
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if isinstance(col, sql_gen.Literal): return sql_gen.Cast(type_, col)
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assert not isinstance(col, sql_gen.NamedCol)
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function_name = strings.first_word(type_)
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srcs = col.srcs
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save_errors = (errors_table != None and isinstance(col, sql_gen.Col)
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and col.srcs != ())
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if save_errors:
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srcs = map(sql_gen.to_name_only_col, col.srcs)
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function_name = str(sql_gen.FunctionCall(function_name, *srcs))
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function = db.TempFunction(function_name)
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# Create function definition
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modifiers = 'STRICT'
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if not save_errors: modifiers = 'IMMUTABLE '+modifiers
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handler = data_exception_handler(db, 'RETURN NULL;\n', srcs, errors_table)
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body = sql_gen.CustomCode(handler.to_str(db, '''\
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/* The explicit cast to the return type is needed to make the cast happen
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inside the try block. (Implicit casts to the return type happen at the end
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of the function, outside any block.) */
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RETURN value::'''+type_+''';
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'''))
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body.lang='plpgsql'
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sql.define_func(db, sql_gen.FunctionDef(function, type_, body,
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[sql_gen.FunctionParam('value', 'text')], modifiers))
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return sql_gen.FunctionCall(function, col)
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def cast_temp_col(db, type_, col, errors_table=None):
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'''Like cast(), but creates a new column with the cast values if the input
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is a column.
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@return The new column or cast value
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'''
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def cast_(col): return cast(db, type_, col, errors_table)
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try: col = sql_gen.underlying_col(col)
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except sql_gen.NoUnderlyingTableException: return sql_gen.wrap(cast_, col)
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table = col.table
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new_col = sql_gen.suffixed_col(col, '::'+strings.first_word(type_))
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expr = cast_(col)
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# Add column
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new_typed_col = sql_gen.TypedCol(new_col.name, type_)
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sql.add_col(db, table, new_typed_col, comment=repr(col)+'::'+type_)
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new_col.name = new_typed_col.name # propagate any renaming
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sql.update(db, table, [(new_col, expr)], in_place=True, recover=True)
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return new_col
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def errors_table(db, table, if_exists=True):
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'''
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@param if_exists If set, returns None if the errors table doesn't exist
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@return None|sql_gen.Table
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'''
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table = sql_gen.as_Table(table)
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if table.srcs != (): table = table.srcs[0]
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errors_table = sql_gen.suffixed_table(table, '.errors')
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if if_exists and not sql.table_exists(db, errors_table): return None
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return errors_table
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##### Import
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def put(db, table, row, pkey_=None, row_ct_ref=None):
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'''Recovers from errors.
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Only works under PostgreSQL (uses INSERT RETURNING).
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'''
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row = sql_gen.ColDict(db, table, row)
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if pkey_ == None: pkey_ = sql.pkey(db, table, recover=True)
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try:
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cur = sql.insert(db, table, row, pkey_, recover=True, log_level=3.5)
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if row_ct_ref != None and cur.rowcount >= 0:
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row_ct_ref[0] += cur.rowcount
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return sql.value(cur)
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except sql.DuplicateKeyException, e:
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row = sql_gen.ColDict(db, table,
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util.dict_subset_right_join(row, e.cols))
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return sql.value(sql.select(db, table, [pkey_], row, recover=True,
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log_level=3.5))
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except sql.NullValueException: return None
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def get(db, table, row, pkey, row_ct_ref=None, create=False):
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'''Recovers from errors'''
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try:
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return sql.value(sql.select(db, table, [pkey], row, limit=1,
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recover=True))
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except StopIteration:
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if not create: raise
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return put(db, table, row, pkey, row_ct_ref) # insert new row
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def is_func_result(col):
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return col.table.name.find('(') >= 0 and col.name == 'result'
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def into_table_name(out_table, in_tables0, mapping, is_func):
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def in_col_str(in_col):
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in_col = sql_gen.remove_col_rename(in_col)
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if isinstance(in_col, sql_gen.Col):
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table = in_col.table
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if table == in_tables0:
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in_col = sql_gen.to_name_only_col(in_col)
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elif is_func_result(in_col): in_col = table # omit col name
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return str(in_col)
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str_ = str(out_table)
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if is_func:
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str_ += '('
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try: value_in_col = mapping['value']
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except KeyError:
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str_ += ', '.join((str(k)+'='+in_col_str(v)
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for k, v in mapping.iteritems()))
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else: str_ += in_col_str(value_in_col)
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str_ += ')'
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else:
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out_col = 'rank'
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try: in_col = mapping[out_col]
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except KeyError: str_ += '_pkeys'
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else: # has a rank column, so hierarchical
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str_ += '['+str(out_col)+'='+in_col_str(in_col)+']'
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return str_
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def put_table(db, out_table, in_tables, mapping, row_ct_ref=None, into=None,
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default=None, is_func=False, on_error=exc.raise_):
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'''Recovers from errors.
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Only works under PostgreSQL (uses INSERT RETURNING).
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IMPORTANT: Must be run at the *beginning* of a transaction.
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@param in_tables The main input table to select from, followed by a list of
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tables to join with it using the main input table's pkey
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@param mapping dict(out_table_col=in_table_col, ...)
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* out_table_col: str (*not* sql_gen.Col)
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* in_table_col: sql_gen.Col|literal-value
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@param into The table to contain the output and input pkeys.
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Defaults to `out_table.name+'_pkeys'`.
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@param default The *output* column to use as the pkey for missing rows.
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If this output column does not exist in the mapping, uses None.
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@param is_func Whether out_table is the name of a SQL function, not a table
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@return sql_gen.Col Where the output pkeys are made available
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'''
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import psycopg2.extensions
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out_table = sql_gen.as_Table(out_table)
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def log_debug(msg): db.log_debug(msg, level=1.5)
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def col_ustr(str_):
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return strings.repr_no_u(sql_gen.remove_col_rename(str_))
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log_debug('********** New iteration **********')
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log_debug('Inserting these input columns into '+strings.as_tt(
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out_table.to_str(db))+':\n'+strings.as_table(mapping, ustr=col_ustr))
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is_function = sql.function_exists(db, out_table)
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if is_function: out_pkey = 'result'
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else: out_pkey = sql.pkey(db, out_table, recover=True)
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out_pkey_col = sql_gen.as_Col(out_pkey, out_table)
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in_tables_ = in_tables[:] # don't modify input!
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try: in_tables0 = in_tables_.pop(0) # first table is separate
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except IndexError: in_tables0 = None
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else:
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in_pkey = sql.pkey(db, in_tables0, recover=True)
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in_pkey_col = sql_gen.as_Col(in_pkey, in_tables0)
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# Determine if can use optimization for only literal values
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is_literals = not reduce(operator.or_, map(sql_gen.is_table_col,
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mapping.values()), False)
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is_literals_or_function = is_literals or is_function
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if in_tables0 == None: errors_table_ = None
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else: errors_table_ = errors_table(db, in_tables0)
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# Create input joins from list of input tables
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input_joins = [in_tables0]+[sql_gen.Join(v,
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{in_pkey: sql_gen.join_same_not_null}) for v in in_tables_]
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if mapping == {} and not is_function: # need >= one column for INSERT SELECT
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mapping = {out_pkey: None} # ColDict will replace with default value
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if not is_literals:
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if into == None:
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into = into_table_name(out_table, in_tables0, mapping, is_func)
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into = sql_gen.as_Table(into)
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# Set column sources
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in_cols = filter(sql_gen.is_table_col, mapping.values())
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for col in in_cols:
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if col.table == in_tables0: col.set_srcs(sql_gen.src_self)
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log_debug('Joining together input tables into temp table')
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# Place in new table so don't modify input and for speed
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in_table = sql_gen.Table('in')
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mapping = dicts.join(mapping, sql.flatten(db, in_table, input_joins,
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in_cols, preserve=[in_pkey_col]))
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input_joins = [in_table]
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db.log_debug('Temp table: '+strings.as_tt(in_table.to_str(db)), level=2)
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mapping = sql_gen.ColDict(db, out_table, mapping)
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# after applying dicts.join() because that returns a plain dict
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# Resolve default value column
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if default != None:
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try: default = mapping[default]
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except KeyError:
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db.log_debug('Default value column '
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+strings.as_tt(strings.repr_no_u(default))
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+' does not exist in mapping, falling back to None', level=2.1)
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default = None
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# Save default values for all rows since in_table may have rows deleted
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if is_literals: pass
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elif is_function: full_in_table = in_table
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else:
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full_in_table = sql_gen.suffixed_table(in_table, '_full')
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full_in_table_cols = [in_pkey_col]
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if default != None:
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full_in_table_cols.append(default)
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default = sql_gen.with_table(default, full_in_table)
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sql.run_query_into(db, sql.mk_select(db, in_table, full_in_table_cols,
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order_by=None), into=full_in_table, add_pkey_=True)
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if not is_literals:
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pkeys_names = [in_pkey, out_pkey]
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pkeys_cols = [in_pkey_col, out_pkey_col]
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313
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pkeys_table_exists_ref = [False]
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def insert_into_pkeys(joins, cols=None, limit=None, **kw_args):
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query = sql.mk_select(db, joins, cols, order_by=None, limit=limit)
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if pkeys_table_exists_ref[0]:
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sql.insert_select(db, into, pkeys_names, query, **kw_args)
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else:
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sql.run_query_into(db, query, into=into, add_pkey_=True, **kw_args)
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pkeys_table_exists_ref[0] = True
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321
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322
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limit_ref = [None]
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def mk_main_select(joins, cols):
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return sql.mk_select(db, joins, cols, limit=limit_ref[0], order_by=None)
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325
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326
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if is_literals: insert_in_table = None
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else:
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insert_in_table = in_table
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insert_in_tables = [insert_in_table]
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join_cols = sql_gen.ColDict(db, out_table)
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331
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332
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exc_strs = set()
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def log_exc(e):
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e_str = exc.str_(e, first_line_only=True)
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log_debug('Caught exception: '+e_str)
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assert e_str not in exc_strs # avoid infinite loops
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exc_strs.add(e_str)
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338
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def remove_all_rows():
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log_debug('Ignoring all rows')
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limit_ref[0] = 0 # just create an empty pkeys table
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342
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343
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def ignore_cond(cond, e):
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out_table_cols = sql_gen.ColDict(db, out_table)
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out_table_cols.update(util.dict_subset_right_join({},
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sql.table_cols(db, out_table)))
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347
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348
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in_cols = []
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cond = sql.map_expr(db, cond, mapping, in_cols)
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cond = sql.map_expr(db, cond, out_table_cols)
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track_data_error(db, errors_table_, sql_gen.cols_srcs(in_cols), None,
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e.cause.pgcode,
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strings.ensure_newl(e.cause.pgerror)+'condition: '+cond)
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not_cond = sql_gen.NotCond(sql_gen.CustomCode(cond))
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log_debug('Ignoring rows where '+strings.as_tt(not_cond.to_str(db)))
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sql.delete(db, insert_in_table, not_cond)
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359
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360
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not_null_cols = set()
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def ignore(in_col, value, e):
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in_col = sql_gen.with_table(in_col, insert_in_table)
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363
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364
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track_data_error(db, errors_table_, in_col.srcs, value,
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e.cause.pgcode, e.cause.pgerror)
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log_debug('Ignoring rows with '+strings.as_tt(repr(in_col))+' = '
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+strings.as_tt(repr(value)))
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sql.add_index(db, in_col, insert_in_table) # enable fast filtering
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if value != None and in_col not in not_null_cols:
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# Try just mapping the value to NULL
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sql.update(db, insert_in_table, [(in_col, None)],
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sql_gen.ColValueCond(in_col, value))
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else:
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sql.delete(db, insert_in_table, sql_gen.ColValueCond(in_col, value))
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if value == None: not_null_cols.add(in_col)
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377
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378
|
if not is_literals:
|
379
|
def insert_pkeys_table(which):
|
380
|
return sql_gen.Table(sql_gen.concat(in_table.name,
|
381
|
'_insert_'+which+'_pkeys'))
|
382
|
insert_out_pkeys = insert_pkeys_table('out')
|
383
|
insert_in_pkeys = insert_pkeys_table('in')
|
384
|
|
385
|
# Do inserts and selects
|
386
|
while True:
|
387
|
has_joins = join_cols != {}
|
388
|
|
389
|
if limit_ref[0] == 0: # special case
|
390
|
assert not has_joins
|
391
|
|
392
|
if is_literals: return None
|
393
|
log_debug('Creating an empty output pkeys table')
|
394
|
cur = sql.run_query_into(db, sql.mk_select(db, out_table,
|
395
|
[out_pkey], order_by=None, limit=0), into=insert_out_pkeys)
|
396
|
break # don't do main case
|
397
|
|
398
|
log_debug('Trying to insert new rows')
|
399
|
|
400
|
# Prepare to insert new rows
|
401
|
if is_function:
|
402
|
log_debug('Calling function on input rows')
|
403
|
args = dict(((k.name, v) for k, v in mapping.iteritems()))
|
404
|
func_call = sql_gen.NamedCol(out_pkey,
|
405
|
sql_gen.FunctionCall(out_table, **args))
|
406
|
|
407
|
if not is_literals:
|
408
|
# Create empty pkeys table so its row type can be used
|
409
|
insert_into_pkeys(input_joins, [in_pkey_col, func_call],
|
410
|
limit=0, recover=True)
|
411
|
|
412
|
# Create error handling wrapper function
|
413
|
select_cols = [in_pkey_col]+args.values()
|
414
|
args = dict(((k, sql_gen.with_table(v, sql_gen.Table('row')))
|
415
|
for k, v in args.iteritems()))
|
416
|
func_call = sql_gen.FunctionCall(out_table, **args)
|
417
|
wrapper = db.TempFunction(sql_gen.concat(into.name, '_wrap'))
|
418
|
sql.define_func(db, sql_gen.FunctionDef(wrapper,
|
419
|
sql_gen.SetOf(into),
|
420
|
sql_gen.RowExcIgnore(sql_gen.RowType(in_table),
|
421
|
sql.mk_select(db, input_joins, order_by=None),
|
422
|
sql_gen.ReturnQuery(sql.mk_select(db,
|
423
|
fields=[sql_gen.Col(in_pkey, 'row'), func_call],
|
424
|
explain=False)),
|
425
|
exc_handler=sql_gen.plpythonu_error_handler)
|
426
|
))
|
427
|
wrapper_table = sql_gen.FunctionCall(wrapper)
|
428
|
else:
|
429
|
insert_args = dict(recover=True, cacheable=False)
|
430
|
if has_joins:
|
431
|
insert_args.update(dict(ignore=True))
|
432
|
else:
|
433
|
insert_args.update(dict(returning=out_pkey))
|
434
|
if not is_literals:
|
435
|
insert_args.update(dict(into=insert_out_pkeys))
|
436
|
main_select = mk_main_select([insert_in_table], [sql_gen.with_table(
|
437
|
c, insert_in_table) for c in mapping.values()])
|
438
|
|
439
|
try:
|
440
|
cur = None
|
441
|
if is_function:
|
442
|
if is_literals: cur = sql.select(db, fields=[func_call])
|
443
|
else: insert_into_pkeys(wrapper_table, recover=True)
|
444
|
else:
|
445
|
cur = sql.insert_select(db, out_table, mapping.keys(),
|
446
|
main_select, **insert_args)
|
447
|
break # insert successful
|
448
|
except sql.MissingCastException, e:
|
449
|
log_exc(e)
|
450
|
|
451
|
out_col = e.col
|
452
|
type_ = e.type
|
453
|
|
454
|
log_debug('Casting '+strings.as_tt(out_col)+' input to '
|
455
|
+strings.as_tt(type_))
|
456
|
in_col = mapping[out_col]
|
457
|
while True:
|
458
|
try:
|
459
|
mapping[out_col] = cast_temp_col(db, type_, in_col,
|
460
|
errors_table_)
|
461
|
break # cast successful
|
462
|
except sql.InvalidValueException, e:
|
463
|
log_exc(e)
|
464
|
|
465
|
ignore(in_col, e.value, e)
|
466
|
except sql.DuplicateKeyException, e:
|
467
|
log_exc(e)
|
468
|
|
469
|
# Different rows violating different unique constraints not
|
470
|
# supported
|
471
|
assert not join_cols
|
472
|
|
473
|
join_cols.update(util.dict_subset_right_join(mapping, e.cols))
|
474
|
log_debug('Ignoring existing rows, comparing on these columns:\n'
|
475
|
+strings.as_inline_table(join_cols, ustr=col_ustr))
|
476
|
|
477
|
if is_literals:
|
478
|
return sql.value(sql.select(db, out_table, [out_pkey_col],
|
479
|
mapping, order_by=None))
|
480
|
|
481
|
# Uniquify input table to avoid internal duplicate keys
|
482
|
insert_in_table = sql.distinct_table(db, insert_in_table,
|
483
|
join_cols.values())
|
484
|
insert_in_tables.append(insert_in_table)
|
485
|
except sql.NullValueException, e:
|
486
|
log_exc(e)
|
487
|
|
488
|
out_col, = e.cols
|
489
|
try: in_col = mapping[out_col]
|
490
|
except KeyError:
|
491
|
msg = 'Missing mapping for NOT NULL column '+out_col
|
492
|
log_debug(msg)
|
493
|
if default == None: on_error(SyntaxError(msg)) # required col
|
494
|
remove_all_rows()
|
495
|
else: ignore(in_col, None, e)
|
496
|
except sql.CheckException, e:
|
497
|
log_exc(e)
|
498
|
|
499
|
ignore_cond(e.cond, e)
|
500
|
except sql.InvalidValueException, e:
|
501
|
log_exc(e)
|
502
|
|
503
|
for in_col in mapping.values(): ignore(in_col, e.value, e)
|
504
|
except psycopg2.extensions.TransactionRollbackError, e:
|
505
|
log_exc(e)
|
506
|
# retry
|
507
|
except sql.DatabaseErrors, e:
|
508
|
log_exc(e)
|
509
|
|
510
|
log_debug('No handler for exception')
|
511
|
on_error(e)
|
512
|
remove_all_rows()
|
513
|
# after exception handled, rerun loop with additional constraints
|
514
|
|
515
|
if cur != None and row_ct_ref != None and cur.rowcount >= 0:
|
516
|
row_ct_ref[0] += cur.rowcount
|
517
|
|
518
|
if is_literals_or_function: pass # pkeys table already created
|
519
|
elif has_joins:
|
520
|
select_joins = input_joins+[sql_gen.Join(out_table, join_cols)]
|
521
|
log_debug('Getting output table pkeys of existing/inserted rows')
|
522
|
insert_into_pkeys(select_joins, pkeys_cols)
|
523
|
else:
|
524
|
sql.add_row_num(db, insert_out_pkeys) # for joining with input pkeys
|
525
|
|
526
|
log_debug('Getting input table pkeys of inserted rows')
|
527
|
# Note that mk_main_select() does not use ORDER BY. Instead, assume that
|
528
|
# since the SELECT query is identical to the one used in INSERT SELECT,
|
529
|
# its rows will be retrieved in the same order.
|
530
|
sql.run_query_into(db, mk_main_select(input_joins, [in_pkey]),
|
531
|
into=insert_in_pkeys)
|
532
|
sql.add_row_num(db, insert_in_pkeys) # for joining with output pkeys
|
533
|
|
534
|
assert sql.table_row_count(db, insert_out_pkeys) == sql.table_row_count(
|
535
|
db, insert_in_pkeys)
|
536
|
|
537
|
log_debug('Combining output and input pkeys in inserted order')
|
538
|
pkey_joins = [insert_in_pkeys, sql_gen.Join(insert_out_pkeys,
|
539
|
{sql.row_num_col: sql_gen.join_same_not_null})]
|
540
|
insert_into_pkeys(pkey_joins, pkeys_names)
|
541
|
|
542
|
sql.empty_temp(db, [insert_out_pkeys, insert_in_pkeys])
|
543
|
|
544
|
if not is_literals_or_function:
|
545
|
log_debug('Setting pkeys of missing rows to '
|
546
|
+strings.as_tt(repr(default)))
|
547
|
missing_rows_joins = [full_in_table, sql_gen.Join(into,
|
548
|
{in_pkey: sql_gen.join_same_not_null}, sql_gen.filter_out)]
|
549
|
# must use join_same_not_null or query will take forever
|
550
|
insert_into_pkeys(missing_rows_joins,
|
551
|
[sql_gen.Col(in_pkey, full_in_table),
|
552
|
sql_gen.NamedCol(out_pkey, default)])
|
553
|
# otherwise, there is already an entry for every row
|
554
|
|
555
|
if is_literals: return sql.value(cur)
|
556
|
else:
|
557
|
assert (sql.table_row_count(db, into)
|
558
|
== sql.table_row_count(db, full_in_table))
|
559
|
|
560
|
sql.empty_temp(db, insert_in_tables+[full_in_table])
|
561
|
|
562
|
srcs = []
|
563
|
if is_func: srcs = sql_gen.cols_srcs(in_cols)
|
564
|
return sql_gen.Col(out_pkey, into, srcs)
|