def test_mysql_to_hive_verify_loaded_values(self):
mysql_conn_id = 'airflow_ci'
mysql_table = 'test_mysql_to_hive'
hive_table = 'test_mysql_to_hive'
from airflow.hooks.mysql_hook import MySqlHook
m = MySqlHook(mysql_conn_id)
try:
minmax = (255, 65535, 16777215, 4294967295, 18446744073709551615,
-128, -32768, -8388608, -2147483648,
-9223372036854775808)
with m.get_conn() as c:
c.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
c.execute("""
CREATE TABLE {} (
c0 TINYINT UNSIGNED,
c1 SMALLINT UNSIGNED,
c2 MEDIUMINT UNSIGNED,
c3 INT UNSIGNED,
c4 BIGINT UNSIGNED,
c5 TINYINT,
c6 SMALLINT,
c7 MEDIUMINT,
c8 INT,
c9 BIGINT
)
""".format(mysql_table))
c.execute("""
INSERT INTO {} VALUES (
{}, {}, {}, {}, {}, {}, {}, {}, {}, {}
)
""".format(mysql_table, *minmax))
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
t = MySqlToHiveTransfer(task_id='test_m2h',
mysql_conn_id=mysql_conn_id,
hive_cli_conn_id='beeline_default',
sql="SELECT * FROM {}".format(mysql_table),
hive_table=hive_table,
recreate=True,
delimiter=",",
dag=self.dag)
t.run(start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE,
ignore_ti_state=True)
from airflow.hooks.hive_hooks import HiveServer2Hook
h = HiveServer2Hook()
r = h.get_records("SELECT * FROM {}".format(hive_table))
self.assertEqual(r[0], minmax)
finally:
with m.get_conn() as c:
c.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
def test_mysql_to_hive(self):
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
sql = "SELECT * FROM baby_names LIMIT 1000;"
op = MySqlToHiveTransfer(
task_id='test_m2h',
hive_cli_conn_id='hive_cli_default',
sql=sql,
hive_table='test_mysql_to_hive',
recreate=True,
delimiter=",",
dag=self.dag)
op.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_mysql_to_hive(self):
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
sql = "SELECT * FROM baby_names LIMIT 1000;"
t = MySqlToHiveTransfer(
task_id='test_m2h',
hive_cli_conn_id='hive_cli_default',
sql=sql,
hive_table='test_mysql_to_hive',
recreate=True,
delimiter=",",
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_mysql_to_hive_tblproperties(self):
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
sql = "SELECT * FROM baby_names LIMIT 1000;"
t = MySqlToHiveTransfer(
task_id='test_m2h',
hive_cli_conn_id='beeline_default',
sql=sql,
hive_table='test_mysql_to_hive',
recreate=True,
delimiter=",",
tblproperties={'test_property': 'test_value'},
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_mysql_to_hive(self):
# import airflow.operators
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
sql = "SELECT * FROM baby_names LIMIT 1000;"
t = MySqlToHiveTransfer(task_id='test_m2h',
mysql_conn_id='airflow_ci',
hive_cli_conn_id='beeline_default',
sql=sql,
hive_table='test_mysql_to_hive',
recreate=True,
delimiter=",",
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, force=True)
def test_mysql_to_hive_partition(self):
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
sql = "SELECT * FROM baby_names LIMIT 1000;"
t = MySqlToHiveTransfer(
task_id='test_m2h',
hive_cli_conn_id='beeline_default',
sql=sql,
hive_table='test_mysql_to_hive_part',
partition={'ds': DEFAULT_DATE_DS},
recreate=False,
create=True,
delimiter=",",
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_mysql_to_hive_partition(self):
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
sql = "SELECT * FROM baby_names LIMIT 1000;"
t = MySqlToHiveTransfer(
task_id='test_m2h',
mysql_conn_id='airflow_ci',
hive_cli_conn_id='beeline_default',
sql=sql,
hive_table='test_mysql_to_hive_part',
partition={'ds': DEFAULT_DATE_DS},
recreate=False,
create=True,
delimiter=",",
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, force=True)
def test_mysql_to_hive_tblproperties(self):
# import airflow.operators
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
sql = "SELECT * FROM baby_names LIMIT 1000;"
t = MySqlToHiveTransfer(
task_id='test_m2h',
mysql_conn_id='airflow_ci',
hive_cli_conn_id='beeline_default',
sql=sql,
hive_table='test_mysql_to_hive',
recreate=True,
delimiter=",",
tblproperties={'test_property':'test_value'},
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
def test_mysql_to_hive_verify_csv_special_char(self):
mysql_table = 'test_mysql_to_hive'
hive_table = 'test_mysql_to_hive'
from airflow.hooks.mysql_hook import MySqlHook
hook = MySqlHook()
try:
db_record = (
'c0',
'["true"]'
)
with hook.get_conn() as conn:
conn.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
conn.execute("""
CREATE TABLE {} (
c0 VARCHAR(25),
c1 VARCHAR(25)
)
""".format(mysql_table))
conn.execute("""
INSERT INTO {} VALUES (
'{}', '{}'
)
""".format(mysql_table, *db_record))
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
import unicodecsv as csv
op = MySqlToHiveTransfer(
task_id='test_m2h',
hive_cli_conn_id='hive_cli_default',
sql="SELECT * FROM {}".format(mysql_table),
hive_table=hive_table,
recreate=True,
delimiter=",",
quoting=csv.QUOTE_NONE,
quotechar='',
escapechar='@',
dag=self.dag)
op.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
from airflow.providers.apache.hive.hooks.hive import HiveServer2Hook
hive_hook = HiveServer2Hook()
result = hive_hook.get_records("SELECT * FROM {}".format(hive_table))
self.assertEqual(result[0], db_record)
finally:
with hook.get_conn() as conn:
conn.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
def test_mysql_to_hive_type_conversion(self, mock_load_file):
mysql_conn_id = 'airflow_ci'
mysql_table = 'test_mysql_to_hive'
from airflow.hooks.mysql_hook import MySqlHook
m = MySqlHook(mysql_conn_id)
try:
with m.get_conn() as c:
c.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
c.execute("""
CREATE TABLE {} (
c0 TINYINT,
c1 SMALLINT,
c2 MEDIUMINT,
c3 INT,
c4 BIGINT,
c5 TIMESTAMP
)
""".format(mysql_table))
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
t = MySqlToHiveTransfer(task_id='test_m2h',
mysql_conn_id=mysql_conn_id,
hive_cli_conn_id='beeline_default',
sql="SELECT * FROM {}".format(mysql_table),
hive_table='test_mysql_to_hive',
dag=self.dag)
t.run(start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE,
ignore_ti_state=True)
mock_load_file.assert_called_once()
d = OrderedDict()
d["c0"] = "SMALLINT"
d["c1"] = "INT"
d["c2"] = "INT"
d["c3"] = "BIGINT"
d["c4"] = "DECIMAL(38,0)"
d["c5"] = "TIMESTAMP"
self.assertEqual(mock_load_file.call_args[1]["field_dict"], d)
finally:
with m.get_conn() as c:
c.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
def test_mysql_to_hive_type_conversion(self, mock_load_file):
mysql_table = 'test_mysql_to_hive'
from airflow.hooks.mysql_hook import MySqlHook
hook = MySqlHook()
try:
with hook.get_conn() as conn:
conn.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
conn.execute("""
CREATE TABLE {} (
c0 TINYINT,
c1 SMALLINT,
c2 MEDIUMINT,
c3 INT,
c4 BIGINT,
c5 TIMESTAMP
)
""".format(mysql_table))
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
op = MySqlToHiveTransfer(
task_id='test_m2h',
hive_cli_conn_id='hive_cli_default',
sql="SELECT * FROM {}".format(mysql_table),
hive_table='test_mysql_to_hive',
dag=self.dag)
op.run(start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE,
ignore_ti_state=True)
assert mock_load_file.call_count == 1
ordered_dict = OrderedDict()
ordered_dict["c0"] = "SMALLINT"
ordered_dict["c1"] = "INT"
ordered_dict["c2"] = "INT"
ordered_dict["c3"] = "BIGINT"
ordered_dict["c4"] = "DECIMAL(38,0)"
ordered_dict["c5"] = "TIMESTAMP"
self.assertEqual(mock_load_file.call_args[1]["field_dict"],
ordered_dict)
finally:
with hook.get_conn() as conn:
conn.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
def test_mysql_to_hive_type_conversion(self, mock_load_file):
mysql_conn_id = 'airflow_ci'
mysql_table = 'test_mysql_to_hive'
from airflow.hooks.mysql_hook import MySqlHook
m = MySqlHook(mysql_conn_id)
try:
with m.get_conn() as c:
c.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
c.execute("""
CREATE TABLE {} (
c0 TINYINT,
c1 SMALLINT,
c2 MEDIUMINT,
c3 INT,
c4 BIGINT
)
""".format(mysql_table))
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
t = MySqlToHiveTransfer(
task_id='test_m2h',
mysql_conn_id=mysql_conn_id,
hive_cli_conn_id='beeline_default',
sql="SELECT * FROM {}".format(mysql_table),
hive_table='test_mysql_to_hive',
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
mock_load_file.assert_called_once()
d = OrderedDict()
d["c0"] = "SMALLINT"
d["c1"] = "INT"
d["c2"] = "INT"
d["c3"] = "BIGINT"
d["c4"] = "DECIMAL(38,0)"
self.assertEqual(mock_load_file.call_args[1]["field_dict"], d)
finally:
with m.get_conn() as c:
c.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
def test_mysql_to_hive_tblproperties(self, mock_popen, mock_temp_dir):
mock_subprocess = MockSubProcess()
mock_popen.return_value = mock_subprocess
mock_temp_dir.return_value = "test_mysql_to_hive_tblproperties"
with mock.patch.dict('os.environ', self.env_vars):
sql = "SELECT * FROM baby_names LIMIT 1000;"
t = MySqlToHiveTransfer(
task_id='test_m2h',
hive_cli_conn_id='beeline_default',
sql=sql,
hive_table='test_mysql_to_hive_tblproperties',
recreate=True,
delimiter=",",
tblproperties={'test_property': 'test_value'},
dag=self.dag)
t.run(start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE,
ignore_ti_state=True)
hive_cmd = [
u'beeline', u'-u', u'"jdbc:hive2://localhost:10000/default"',
u'-hiveconf', u'[email protected]',
u'-hiveconf', u'airflow.ctx.dag_id=test_dag_id', u'-hiveconf',
u'airflow.ctx.dag_owner=airflow', u'-hiveconf',
u'airflow.ctx.dag_run_id=55', u'-hiveconf',
u'airflow.ctx.execution_date=2015-01-01T00:00:00+00:00',
u'-hiveconf', u'airflow.ctx.task_id=test_task_id', u'-hiveconf',
u'mapreduce.job.queuename=airflow', u'-hiveconf',
u'mapred.job.queue.name=airflow', u'-hiveconf',
u'tez.queue.name=airflow', u'-f',
u'/tmp/airflow_hiveop_test_mysql_to_hive_tblproperties/'
u'tmptest_mysql_to_hive_tblproperties'
]
mock_popen.assert_called_with(
hive_cmd,
stdout=mock_subprocess.PIPE,
stderr=mock_subprocess.STDOUT,
cwd=u"/tmp/airflow_hiveop_test_mysql_to_hive_tblproperties",
close_fds=True)
def match_datatransfer_operater(self):
source_db_type = self.get_conn_db_type(self.source_conn_id)
destination_db_type = self.get_conn_db_type(self.destination_conn_id)
if source_db_type == 'mysql' and destination_db_type == 'hiveserver2':
return MySqlToHiveTransfer(
sql=self.sql,
hive_table=self.destination_table,
create=False,
recreate=False,
partition=None,
delimiter=chr(1),
mysql_conn_id=self.source_conn_id,
hive_cli_conn_id=self.destination_conn_id,
tblproperties=None)
if source_db_type == 'mssql' and destination_db_type == 'hiveserver2':
return MsSqlToHiveTransfer(
sql=self.sql,
hive_table=self.destination_table,
create=False,
recreate=False,
partition=None,
delimiter=chr(1),
mysql_conn_id=self.source_conn_id,
hive_cli_conn_id=self.destination_conn_id,
tblproperties=None)
if source_db_type == 'hiveserver2' and destination_db_type == 'mysql':
return HiveToMySqlTransfer(sql=self.sql,
mysql_table=self.destination_table,
hiveserver2_conn_id=self.source_conn_id,
mysql_conn_id=self.destination_conn_id,
mysql_preoperator=None,
mysql_postoperator=None,
bulk_load=False)
if source_db_type == 'oracle' and destination_db_type == 'oracle':
return OracleToOracleTransfer(
source_sql=self.sql,
destination_table=self.destination_table,
oracle_source_conn_id=self.source_conn_id,
oracle_destination_conn_id=self.destination_conn_id,
source_sql_params=None,
rows_chunk=5000)
return GenericTransfer(sql=self.sql,
destination_table=self.destination_table,
source_conn_id=self.source_conn_id,
destination_conn_id=self.destination_conn_id,
preoperator=None)
def test_mysql_to_hive_verify_loaded_values(self):
mysql_conn_id = 'airflow_ci'
mysql_table = 'test_mysql_to_hive'
hive_table = 'test_mysql_to_hive'
from airflow.hooks.mysql_hook import MySqlHook
m = MySqlHook(mysql_conn_id)
try:
minmax = (
255,
65535,
16777215,
4294967295,
18446744073709551615,
-128,
-32768,
-8388608,
-2147483648,
-9223372036854775808
)
with m.get_conn() as c:
c.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
c.execute("""
CREATE TABLE {} (
c0 TINYINT UNSIGNED,
c1 SMALLINT UNSIGNED,
c2 MEDIUMINT UNSIGNED,
c3 INT UNSIGNED,
c4 BIGINT UNSIGNED,
c5 TINYINT,
c6 SMALLINT,
c7 MEDIUMINT,
c8 INT,
c9 BIGINT
)
""".format(mysql_table))
c.execute("""
INSERT INTO {} VALUES (
{}, {}, {}, {}, {}, {}, {}, {}, {}, {}
)
""".format(mysql_table, *minmax))
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
t = MySqlToHiveTransfer(
task_id='test_m2h',
mysql_conn_id=mysql_conn_id,
hive_cli_conn_id='beeline_default',
sql="SELECT * FROM {}".format(mysql_table),
hive_table=hive_table,
recreate=True,
delimiter=",",
dag=self.dag)
t.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE, ignore_ti_state=True)
from airflow.hooks.hive_hooks import HiveServer2Hook
h = HiveServer2Hook()
r = h.get_records("SELECT * FROM {}".format(hive_table))
self.assertEqual(r[0], minmax)
finally:
with m.get_conn() as c:
c.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
from airflow import DAG
from airflow.operators.mysql_to_hive import MySqlToHiveTransfer
from airflow.utils.dates import days_ago
from datetime import datetime, timedelta
default_args = {
'ower': 'airflow',
'start_date': days_ago(5),
'email_on_failure': False,
'email_on_retry': False,
'depends_on_past': False,
'retries': 1,
'retry_delay': timedelta(minutes=1)
}
dag = DAG(
dag_id='mysql_to_hive',
template_searchpath='templates/mysql_to_hive',
schedule_interval='@daily',
default_args=default_args
)
MySqlToHiveTransfer(
task_id='mysql_to_hive',
sql='mysql_to_hive_sql.sql',
delimiter=',',
hive_table='mysql_to_hive_table.sql',
create=True,
recreate=True,
dag=dag
)
def test_mysql_to_hive_verify_loaded_values(self, mock_popen,
mock_temp_dir):
mock_subprocess = MockSubProcess()
mock_popen.return_value = mock_subprocess
mock_temp_dir.return_value = "test_mysql_to_hive"
mysql_table = 'test_mysql_to_hive'
hive_table = 'test_mysql_to_hive'
hook = MySqlHook()
try:
minmax = (255, 65535, 16777215, 4294967295, 18446744073709551615,
-128, -32768, -8388608, -2147483648,
-9223372036854775808)
with hook.get_conn() as conn:
conn.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
conn.execute("""
CREATE TABLE {} (
c0 TINYINT UNSIGNED,
c1 SMALLINT UNSIGNED,
c2 MEDIUMINT UNSIGNED,
c3 INT UNSIGNED,
c4 BIGINT UNSIGNED,
c5 TINYINT,
c6 SMALLINT,
c7 MEDIUMINT,
c8 INT,
c9 BIGINT
)
""".format(mysql_table))
conn.execute("""
INSERT INTO {} VALUES (
{}, {}, {}, {}, {}, {}, {}, {}, {}, {}
)
""".format(mysql_table, *minmax))
with mock.patch.dict('os.environ', self.env_vars):
op = MySqlToHiveTransfer(
task_id='test_m2h',
hive_cli_conn_id='hive_cli_default',
sql="SELECT * FROM {}".format(mysql_table),
hive_table=hive_table,
recreate=True,
delimiter=",",
dag=self.dag)
op.run(start_date=DEFAULT_DATE,
end_date=DEFAULT_DATE,
ignore_ti_state=True)
mock_cursor = MockConnectionCursor()
mock_cursor.iterable = [minmax]
hive_hook = MockHiveServer2Hook(connection_cursor=mock_cursor)
result = hive_hook.get_records(
"SELECT * FROM {}".format(hive_table))
self.assertEqual(result[0], minmax)
hive_cmd = [
u'hive', u'-hiveconf',
u'[email protected]', u'-hiveconf',
u'airflow.ctx.dag_id=test_dag_id', u'-hiveconf',
u'airflow.ctx.dag_owner=airflow', u'-hiveconf',
u'airflow.ctx.dag_run_id=55', u'-hiveconf',
u'airflow.ctx.execution_date=2015-01-01T00:00:00+00:00',
u'-hiveconf', u'airflow.ctx.task_id=test_task_id',
u'-hiveconf', u'mapreduce.job.queuename=airflow',
u'-hiveconf', u'mapred.job.queue.name=airflow',
u'-hiveconf', u'tez.queue.name=airflow', u'-f',
u'/tmp/airflow_hiveop_test_mysql_to_hive/tmptest_mysql_to_hive'
]
mock_popen.assert_called_with(
hive_cmd,
stdout=mock_subprocess.PIPE,
stderr=mock_subprocess.STDOUT,
cwd="/tmp/airflow_hiveop_test_mysql_to_hive",
close_fds=True)
finally:
with hook.get_conn() as conn:
conn.execute("DROP TABLE IF EXISTS {}".format(mysql_table))
