def execute(self, context=None):
metastore = HiveMetastoreHook(metastore_conn_id=self.metastore_conn_id)
table = metastore.get_table(table_name=self.table)
field_types = {col.name: col.type for col in table.sd.cols}
exprs = {('', 'count'): 'COUNT(*)'}
for col, col_type in list(field_types.items()):
d = {}
if self.assignment_func:
d = self.assignment_func(col, col_type)
if d is None:
d = self.get_default_exprs(col, col_type)
else:
d = self.get_default_exprs(col, col_type)
exprs.update(d)
exprs.update(self.extra_exprs)
exprs = OrderedDict(exprs)
exprs_str = ",\n ".join(
[v + " AS " + k[0] + '__' + k[1] for k, v in exprs.items()])
where_clause = [
"{} = '{}'".format(k, v) for k, v in self.partition.items()
]
where_clause = " AND\n ".join(where_clause)
sql = "SELECT {exprs_str} FROM {table} WHERE {where_clause};".format(
exprs_str=exprs_str, table=self.table, where_clause=where_clause)
presto = PrestoHook(presto_conn_id=self.presto_conn_id)
self.log.info('Executing SQL check: %s', sql)
row = presto.get_first(hql=sql)
self.log.info("Record: %s", row)
if not row:
raise AirflowException("The query returned None")
part_json = json.dumps(self.partition, sort_keys=True)
self.log.info("Deleting rows from previous runs if they exist")
mysql = MySqlHook(self.mysql_conn_id)
sql = """
SELECT 1 FROM hive_stats
WHERE
table_name='{table}' AND
partition_repr='{part_json}' AND
dttm='{dttm}'
LIMIT 1;
""".format(table=self.table, part_json=part_json, dttm=self.dttm)
if mysql.get_records(sql):
sql = """
DELETE FROM hive_stats
WHERE
table_name='{table}' AND
partition_repr='{part_json}' AND
dttm='{dttm}';
""".format(table=self.table, part_json=part_json, dttm=self.dttm)
mysql.run(sql)
self.log.info("Pivoting and loading cells into the Airflow db")
rows = [(self.ds, self.dttm, self.table, part_json) +
(r[0][0], r[0][1], r[1]) for r in zip(exprs, row)]
mysql.insert_rows(table='hive_stats',
rows=rows,
target_fields=[
'ds',
'dttm',
'table_name',
'partition_repr',
'col',
'metric',
'value',
])
def execute(self, context=None):
metastore = HiveMetastoreHook(metastore_conn_id=self.metastore_conn_id)
table = metastore.get_table(table_name=self.table)
field_types = {col.name: col.type for col in table.sd.cols}
exprs = {
('', 'count'): 'COUNT(*)'
}
for col, col_type in list(field_types.items()):
d = {}
if self.assignment_func:
d = self.assignment_func(col, col_type)
if d is None:
d = self.get_default_exprs(col, col_type)
else:
d = self.get_default_exprs(col, col_type)
exprs.update(d)
exprs.update(self.extra_exprs)
exprs = OrderedDict(exprs)
exprs_str = ",\n ".join([
v + " AS " + k[0] + '__' + k[1]
for k, v in exprs.items()])
where_clause = ["{} = '{}'".format(k, v) for k, v in self.partition.items()]
where_clause = " AND\n ".join(where_clause)
sql = "SELECT {exprs_str} FROM {table} WHERE {where_clause};".format(
exprs_str=exprs_str, table=self.table, where_clause=where_clause)
presto = PrestoHook(presto_conn_id=self.presto_conn_id)
self.log.info('Executing SQL check: %s', sql)
row = presto.get_first(hql=sql)
self.log.info("Record: %s", row)
if not row:
raise AirflowException("The query returned None")
part_json = json.dumps(self.partition, sort_keys=True)
self.log.info("Deleting rows from previous runs if they exist")
mysql = MySqlHook(self.mysql_conn_id)
sql = """
SELECT 1 FROM hive_stats
WHERE
table_name='{table}' AND
partition_repr='{part_json}' AND
dttm='{dttm}'
LIMIT 1;
""".format(table=self.table, part_json=part_json, dttm=self.dttm)
if mysql.get_records(sql):
sql = """
DELETE FROM hive_stats
WHERE
table_name='{table}' AND
partition_repr='{part_json}' AND
dttm='{dttm}';
""".format(table=self.table, part_json=part_json, dttm=self.dttm)
mysql.run(sql)
self.log.info("Pivoting and loading cells into the Airflow db")
rows = [(self.ds, self.dttm, self.table, part_json) + (r[0][0], r[0][1], r[1])
for r in zip(exprs, row)]
mysql.insert_rows(
table='hive_stats',
rows=rows,
target_fields=[
'ds',
'dttm',
'table_name',
'partition_repr',
'col',
'metric',
'value',
]
)
