def main():
print("Running sync ExpiryPolicy example.")
client = Client()
with client.connect('127.0.0.1', 10800):
print("Create cache with expiry policy.")
try:
ttl_cache = client.create_cache({
PROP_NAME:
'test',
PROP_EXPIRY_POLICY:
ExpiryPolicy(create=1.0)
})
except NotSupportedByClusterError:
print(
"'ExpiryPolicy' API is not supported by cluster. Finishing...")
return
try:
ttl_cache.put(1, 1)
time.sleep(0.5)
print(f"key = {1}, value = {ttl_cache.get(1)}")
# key = 1, value = 1
time.sleep(1.2)
print(f"key = {1}, value = {ttl_cache.get(1)}")
# key = 1, value = None
finally:
ttl_cache.destroy()
print("Create simple Cache and set TTL through `with_expire_policy`")
simple_cache = client.create_cache('test')
try:
ttl_cache = simple_cache.with_expire_policy(access=1.0)
ttl_cache.put(1, 1)
time.sleep(0.5)
print(f"key = {1}, value = {ttl_cache.get(1)}")
# key = 1, value = 1
time.sleep(1.7)
print(f"key = {1}, value = {ttl_cache.get(1)}")
# key = 1, value = None
finally:
simple_cache.destroy()
student_cache = client.create_cache({
PROP_NAME:
'SQL_PUBLIC_STUDENT',
PROP_SQL_SCHEMA:
'PUBLIC',
PROP_QUERY_ENTITIES: [
{
'table_name':
'Student'.upper(),
'key_field_name':
'SID',
'key_type_name':
'java.lang.Integer',
'field_name_aliases': [],
'query_fields': [
{
'name': 'SID',
'type_name': 'java.lang.Integer',
'is_key_field': True,
'is_notnull_constraint_field': True,
},
{
'name': 'NAME',
'type_name': 'java.lang.String',
},
{
'name': 'LOGIN',
'type_name': 'java.lang.String',
},
{
'name': 'AGE',
'type_name': 'java.lang.Integer',
},
{
'name': 'GPA',
'type_name': 'java.math.Double',
},
],
'query_indexes': [],
'value_type_name':
'SQL_PUBLIC_STUDENT_TYPE',
'value_field_name':
None,
},
],
})
from pyignite import Client
client = Client()
client.connect('127.0.0.1', 10800)
# Create cache
my_cache = client.create_cache('my cache')
# Put value in cache
my_cache.put('my key', 42)
# Get value from cache
result = my_cache.get('my key')
print(result) # 42
result = my_cache.get('non-existent key')
print(result) # None
# Get multiple values from cache
result = my_cache.get_all([
'my key',
'non-existent key',
'other-key',
])
print(result) # {'my key': 42}
# You may obtain a copy of the License at
#
# https://www.gridgain.com/products/software/community-edition/gridgain-community-edition-license
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from pyignite import Client
client = Client()
client.connect('127.0.0.1', 10800)
my_cache = client.create_cache('my cache')
my_cache.put_all({'key_{}'.format(v): v for v in range(20)})
# {
# 'key_0': 0,
# 'key_1': 1,
# 'key_2': 2,
# ... 20 elements in total...
# 'key_18': 18,
# 'key_19': 19
# }
result = my_cache.scan()
for k, v in result:
print(k, v)
# 'key_17' 17
# Open a connection
client = Client()
client.connect('127.0.0.1', 10800)
cache_config = {
PROP_NAME: 'my_cache',
PROP_BACKUPS_NUMBER: 2,
PROP_CACHE_KEY_CONFIGURATION: [
{
'type_name': 'PersonKey',
'affinity_key_field_name': 'companyId'
}
]
}
my_cache = client.create_cache(cache_config)
class PersonKey(metaclass=GenericObjectMeta, type_name='PersonKey', schema=OrderedDict([
('personId', IntObject),
('companyId', IntObject),
])):
pass
personKey = PersonKey(personId=1, companyId=1)
my_cache.put(personKey, 'test')
print(my_cache.get(personKey))
import os
from pyignite import Client
def get_filenames(is_training, data_dir):
return [
os.path.join(data_dir, 'data_batch_%d.bin' % i)
for i in range(1, 6)
]
batch_size = 32 * 32 * 3 + 1
idx = 0
client = Client()
#client.connect('192.168.1.2', 10800)
client.connect('ignite-1', 10800)
cache = client.create_cache('TEST_DATA')
for filename in get_filenames(True, '/tmp/cifar10_data/cifar-10-batches-bin'):
batch = open(filename, 'rb')
for _ in range(500):
#while (True):
sample = batch.read(batch_size)
if len(sample) == 0:
break
elif len(sample) != batch_size:
raise Exception("Wrong sample size (%d)" % len(sample))
cache.put(idx, sample)
idx += 1
student_cache = client.create_cache({
PROP_NAME: 'SQL_PUBLIC_STUDENT',
PROP_SQL_SCHEMA: 'PUBLIC',
PROP_QUERY_ENTITIES: [
{
'table_name': 'Student'.upper(),
'key_field_name': 'SID',
'key_type_name': 'java.lang.Integer',
'field_name_aliases': [],
'query_fields': [
{
'name': 'SID',
'type_name': 'java.lang.Integer',
'is_key_field': True,
'is_notnull_constraint_field': True,
},
{
'name': 'NAME',
'type_name': 'java.lang.String',
},
{
'name': 'LOGIN',
'type_name': 'java.lang.String',
},
{
'name': 'AGE',
'type_name': 'java.lang.Integer',
},
{
'name': 'GPA',
'type_name': 'java.math.Double',
},
],
'query_indexes': [],
'value_type_name': 'SQL_PUBLIC_STUDENT_TYPE',
'value_field_name': None,
},
],
})
