def _render_conditions(conditions):
"""Render the conditions part of a query.
Args:
conditions: a list of dictionary items to filter a table.
Each dict should be formatted as {'field': 'start_time',
'value': {'value': 1, 'negate': False}, 'comparator': '>',
'type': 'FLOAT'} which is represetned as
'start_time > FLOAT('1')' in the query.
Returns:
a string that represents the where part of a query.
"""
if not conditions:
return ""
rendered_conditions = []
for condition in conditions:
field = condition.get('field')
field_type = condition.get('type')
comparators = condition.get('comparators')
if None in (field, field_type, comparators) or not comparators:
logger.warn('Invalid condition passed in: %s' % condition)
continue
rendered_conditions.append(
_render_condition(field, field_type, comparators))
if not rendered_conditions:
return ""
return "WHERE %s" % (" AND ".join(rendered_conditions))
def get_table_schema(self, dataset, table):
"""Return the table schema.
Args:
dataset: the dataset containing the table.
table: the table to get the schema for.
Returns:
A list of dicts that represent the table schema. If the table
doesn't exist, None is returned.
"""
try:
result = self.bigquery.tables().get(projectId=self.project_id,
tableId=table,
datasetId=dataset).execute()
except HttpError, e:
if int(e.resp['status']) == 404:
logger.warn('Table %s.%s does not exist', dataset, table)
return None
raise
def get_table_schema(self, dataset, table):
"""Return the table schema.
Args:
dataset: the dataset containing the table.
table: the table to get the schema for.
Returns:
A list of dicts that represent the table schema. If the table
doesn't exist, None is returned.
"""
try:
result = self.bigquery.tables().get(
projectId=self.project_id,
tableId=table,
datasetId=dataset).execute()
except HttpError, e:
if int(e.resp['status']) == 404:
logger.warn('Table %s.%s does not exist', dataset, table)
return None
raise
