database backup. This option can be shortened as required, provided that at least -s is specified. ## -join_bk_file Specifies that gsplit is to be used to rejoin a number of files and use the above help text. The correct command line option to join multiple sections of a large backup file is not -JOINT_BK_FILE as shown, but is in fact -JOIN_BK_FILE. Megabyte as 1024 Kilobytes and a Gigabyte as 1024 Megabytes. ## -J[OIN BK FILE] [⋯ ] To join files together and use them to restore a database, you simply specify the filenames in the correct

We can avoid the extra queries by selecting both Pet and Person, and adding a join. query = (Pet .select(Pet, Person) .join(Person) .where(Pet.animal_type == 'cat')) for pet in query: (continues on next prints: # Kitty Bob # Mittens Jr Herb Let’s get all the pets owned by Bob: for pet in Pet.select().join(Person).where(Person.name == 'Bob'): print(pet.name) # prints: # Kitty # Fido We can do another cool can avoid this by performing a JOIN and using a SQL function to aggregate the results. query = (Person .select(Person, fn.COUNT(Pet.id).alias('pet_count')) .join(Pet, JOIN.LEFT_OUTER) # include people without

We can avoid the extra queries by selecting both Pet and Person, and adding a join. query = (Pet .select(Pet, Person) .join(Person) (continues on next page) 1.2. Quickstart 7 peewee Documentation, Release prints: # Kitty Bob # Mittens Jr Herb Let’s get all the pets owned by Bob: for pet in Pet.select().join(Person).where(Person.name == 'Bob'): print(pet.name) # prints: # Kitty # Fido We can do another cool can avoid this by performing a JOIN and using a SQL function to aggregate the results. query = (Person .select(Person, fn.COUNT(Pet.id).alias('pet_count')) .join(Pet, JOIN.LEFT_OUTER) # include people without

We can avoid the extra queries by selecting both Pet and Person, and adding a join. query = (Pet .select(Pet, Person) .join(Person) .where(Pet.animal_type == 'cat')) for pet in query: (continues on next prints: # Kitty Bob # Mittens Jr Herb Let’s get all the pets owned by Bob: for pet in Pet.select().join(Person).where(Person.name == 'Bob'): print(pet.name) # prints: # Kitty # Fido We can do another cool can avoid this by performing a JOIN and using a SQL function to aggregate the results. query = (Person .select(Person, fn.COUNT(Pet.id).alias('pet_count')) .join(Pet, JOIN.LEFT_OUTER) # include people without

We can avoid the extra queries by selecting both Pet and Person, and adding a join. query = (Pet .select(Pet, Person) .join(Person) .where(Pet.animal_type == 'cat')) for pet in query: (continues on next prints: # Kitty Bob # Mittens Jr Herb Let’s get all the pets owned by Bob: for pet in Pet.select().join(Person).where(Person.name == 'Bob'): print(pet.name) # prints: # Kitty # Fido We can do another cool can avoid this by performing a JOIN and using a SQL function to aggregate the results. query = (Person .select(Person, fn.COUNT(Pet.id).alias('pet_count')) .join(Pet, JOIN.LEFT_OUTER) # include people without

can avoid the extra queries by selecting both Pet and Person, and adding a join. query = (Pet .select(Pet, Person) .join(Person) .where(Pet.animal_type == 'cat')) for pet in query: prints: # Kitty Bob # Mittens Jr Herb Let’s get all the pets owned by Bob: for pet in Pet.select().join(Person).where(Person.name == 'Bob'): print(pet.name) # prints: # Kitty # Fido We can this by performing a JOIN and using a SQL function to aggregate the results. query = (Person .select(Person, fn.COUNT(Pet.id).alias('pet_count')) .join(Pet, JOIN.LEFT_OUTER) # include

can avoid the extra queries by selecting both Pet and Person, and adding a join. query = (Pet .select(Pet, Person) .join(Person) .where(Pet.animal_type == 'cat')) for pet in query: prints: # Kitty Bob # Mittens Jr Herb Let’s get all the pets owned by Bob: for pet in Pet.select().join(Person).where(Person.name == 'Bob'): print pet.name # prints: # Kitty # Fido We can this by performing a JOIN and using a SQL function to aggregate the results. query = (Person .select(Person, fn.COUNT(Pet.id).alias('pet_count')) .join(Pet, JOIN.LEFT_OUTER) # include

can avoid the extra queries by selecting both Pet and Person, and adding a join. query = (Pet .select(Pet, Person) .join(Person) .where(Pet.animal_type == 'cat')) for pet in query: prints: # Kitty Bob # Mittens Jr Herb Let’s get all the pets owned by Bob: for pet in Pet.select().join(Person).where(Person.name == 'Bob'): print(pet.name) # prints: # Kitty # Fido We can this by performing a JOIN and using a SQL function to aggregate the results. query = (Person .select(Person, fn.COUNT(Pet.id).alias('pet_count')) .join(Pet, JOIN.LEFT_OUTER) # include

can avoid the extra queries by selecting both Pet and Person, and adding a join. query = (Pet .select(Pet, Person) .join(Person) .where(Pet.animal_type == 'cat')) for pet in query: prints: # Kitty Bob # Mittens Jr Herb Let’s get all the pets owned by Bob: for pet in Pet.select().join(Person).where(Person.name == 'Bob'): print(pet.name) # prints: # Kitty # Fido We can this by performing a JOIN and using a SQL function to aggregate the results. query = (Person .select(Person, fn.COUNT(Pet.id).alias('pet_count')) .join(Pet, JOIN.LEFT_OUTER) # include

can avoid the extra queries by selecting both Pet and Person, and adding a join. query = (Pet .select(Pet, Person) .join(Person) .where(Pet.animal_type == 'cat')) for pet in query: prints: # Kitty Bob # Mittens Jr Herb Let’s get all the pets owned by Bob: for pet in Pet.select().join(Person).where(Person.name == 'Bob'): print(pet.name) # prints: # Kitty # Fido We can this by performing a JOIN and using a SQL function to aggregate the results. query = (Person .select(Person, fn.COUNT(Pet.id).alias('pet_count')) .join(Pet, JOIN.LEFT_OUTER) # include