Executing statements in MySQL¶
Warning
Methods below read all the rows returned from DB to Spark driver memory, and then convert them to DataFrame.
Do NOT use them to read large amounts of data. Use DBReader or MySQL.sql instead.
How to¶
There are 2 ways to execute some statement in MySQL
Use MySQL.fetch¶
Use this method to perform some SELECT query which returns small number or rows, like reading MySQL config, or reading data from some reference table. Method returns Spark DataFrame.
Method accepts MySQL.FetchOptions.
Warning
Please take into account MySQL types.
Syntax support for MySQL.fetch¶
This method supports any query syntax supported by MySQL, like:
- ✅︎
SELECT ... FROM ... - ✅︎
WITH alias AS (...) SELECT ... - ✅︎
SELECT func(arg1, arg2)or{?= call func(arg1, arg2)}- special syntax for calling function - ✅︎
SHOW ... - ❌
SET ...; SELECT ...;- multiple statements not supported
Examples in MySQL.fetch¶
from onetl.connection import MySQL
mysql = MySQL(...)
df = mysql.fetch(
"SELECT value FROM some.reference_table WHERE key = 'some_constant'",
options=MySQL.FetchOptions(queryTimeout=10),
)
mysql.close()
value = df.collect()[0][0] # get value from first row and first column
Use MySQL.execute¶
Use this method to execute DDL and DML operations. Each method call runs operation in a separated transaction, and then commits it.
Method accepts MySQL.ExecuteOptions.
Syntax support in MySQL.execute¶
This method supports any query syntax supported by MySQL, like:
- ✅︎
CREATE TABLE ...,CREATE VIEW ..., and so on - ✅︎
ALTER ... - ✅︎
INSERT INTO ... SELECT ...,UPDATE ...,DELETE ..., and so on - ✅︎
DROP TABLE ...,DROP VIEW ..., and so on - ✅︎
CALL procedure(arg1, arg2) ...or{call procedure(arg1, arg2)}- special syntax for calling procedure - ✅︎ other statements not mentioned here
- ❌
SET ...; SELECT ...;- multiple statements not supported
Examples for MySQL.execute¶
from onetl.connection import MySQL
mysql = MySQL(...)
mysql.execute("DROP TABLE schema.table")
mysql.execute(
"""
CREATE TABLE schema.table (
id bigint,
key text,
value float
)
ENGINE = InnoDB
""",
options=MySQL.ExecuteOptions(queryTimeout=10),
)
Options¶
MySQLFetchOptions
¶
Bases: JDBCFetchOptions
__doc__ = JDBCFetchOptions.__doc__.replace('SomeDB', 'MySQL')
class-attribute
instance-attribute
¶
_forward_refs_updated = False
class-attribute
¶
fetchsize = None
class-attribute
instance-attribute
¶
How many rows to fetch per round trip.
Tuning this option can influence performance of reading.
Warning
Default value depends on driver. For example, Oracle has
default fetchsize=10.
query_timeout = Field(default=None, alias='queryTimeout')
class-attribute
instance-attribute
¶
The number of seconds the driver will wait for a statement to execute. Zero means there is no limit.
This option depends on driver implementation, some drivers can check the timeout of each query instead of an entire JDBC batch.
Config
¶
__init__(**kwargs)
¶
_check_options_allowed(values)
¶
_forward_refs()
classmethod
¶
_get_matching_options(values, matches)
classmethod
¶
_strip_prefix(key, prefix)
staticmethod
¶
_strip_prefixes(values)
¶
_warn_unknown_options(values)
¶
parse(options)
classmethod
¶
If a parameter inherited from the ReadOptions class was passed, then it will be returned unchanged. If a Dict object was passed it will be converted to ReadOptions.
Otherwise, an exception will be raised
MySQLExecuteOptions
¶
Bases: JDBCExecuteOptions
__doc__ = JDBCExecuteOptions.__doc__.replace('SomeDB', 'MySQL')
class-attribute
instance-attribute
¶
_forward_refs_updated = False
class-attribute
¶
fetchsize = None
class-attribute
instance-attribute
¶
How many rows to fetch per round trip.
Tuning this option can influence performance of reading.
Warning
Default value depends on driver. For example, Oracle has
default fetchsize=10.
query_timeout = Field(default=None, alias='queryTimeout')
class-attribute
instance-attribute
¶
The number of seconds the driver will wait for a statement to execute. Zero means there is no limit.
This option depends on driver implementation, some drivers can check the timeout of each query instead of an entire JDBC batch.
Config
¶
__init__(**kwargs)
¶
_check_options_allowed(values)
¶
_forward_refs()
classmethod
¶
_get_matching_options(values, matches)
classmethod
¶
_strip_prefix(key, prefix)
staticmethod
¶
_strip_prefixes(values)
¶
_warn_unknown_options(values)
¶
parse(options)
classmethod
¶
If a parameter inherited from the ReadOptions class was passed, then it will be returned unchanged. If a Dict object was passed it will be converted to ReadOptions.
Otherwise, an exception will be raised