Details
-
Bug
-
Status: Closed
-
Critical
-
Resolution: Fixed
-
1.5.0.final
-
None
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OS X 10.10.2
jdk 1.7
Description
Steps to reproduce:
1. Start 1 node in IDEA
2. Start org/apache/ignite/examples/binary/datagrid/CacheClientBinaryQueryExample.java
Result:
[17:41:30] __________ ________________
[17:41:30] / _/ ___/ |/ / _/_ __/ __/
[17:41:30] _/ // (7 7 // / / / / _/
[17:41:30] /___/\___/_/|_/___/ /_/ /___/
[17:41:30]
[17:41:30] ver. 1.5.0-b2#20151210-sha1:d2008c53
[17:41:30] 2015 Copyright(C) Apache Software Foundation
[17:41:30]
[17:41:30] Ignite documentation: http://ignite.apache.org
[17:41:30]
[17:41:30] Quiet mode.
[17:41:30] ^-- Logging to file '/Users/gridgain/Downloads/apache-ignite-fabric-1.5-2.0-b2-bin/work/log/ignite-c96bd940.log'
[17:41:30] ^-- To see **FULL** console log here add -DIGNITE_QUIET=false or "-v" to ignite.{sh|bat}
[17:41:30]
[17:41:30] OS: Mac OS X 10.10.3 x86_64
[17:41:30] VM information: Java(TM) SE Runtime Environment 1.7.0_79-b15 Oracle Corporation Java HotSpot(TM) 64-Bit Server VM 24.79-b02
[17:41:30] Initial heap size is 192MB (should be no less than 512MB, use -Xms512m -Xmx512m).
[17:41:30] Configured plugins:
[17:41:30] ^-- None
[17:41:30]
[17:41:30] Security status [authentication=off, tls/ssl=off]
[17:41:32] Attempting to start more nodes than physical RAM available on current host (this can cause significant slowdown)
[17:41:33] Performance suggestions for grid (fix if possible)
[17:41:33] To disable, set -DIGNITE_PERFORMANCE_SUGGESTIONS_DISABLED=true
[17:41:33] ^-- Disable peer class loading (set 'peerClassLoadingEnabled' to false)
[17:41:33] ^-- Disable grid events (remove 'includeEventTypes' from configuration)
[17:41:33]
[17:41:33] To start Console Management & Monitoring run ignitevisorcmd.{sh|bat}
[17:41:33]
[17:41:33] Ignite node started OK (id=c96bd940)
[17:41:33] Topology snapshot [ver=7, servers=5, clients=0, CPUs=8, heap=13.0GB]
>>> Binary objects cache query example started.
>>> Employees with zip 94109:
>>> Employees working for GridGain:
>>> Employee [idHash=1570448684, hash=1704762760, departments=BinaryObject [idHash=1957010358, hash=-1143237694, typeId=179563853], addr=Address [idHash=613549454, hash=220889046, street=1096 Eddy Street, San Francisco, CA, zip=94109], name=James Wilson, salary=12500]
>>> Employee [idHash=1856684131, hash=1443330375, departments=BinaryObject [idHash=205315160, hash=1785031702, typeId=179563853], addr=Address [idHash=1873157038, hash=78336113, street=184 Fidler Drive, San Antonio, TX, zip=78130], name=Daniel Adams, salary=11000]
>>> Employee [idHash=40072646, hash=1100837732, departments=BinaryObject [idHash=1338579811, hash=290257426, typeId=179563853], addr=Address [idHash=472197505, hash=1208142819, street=667 Jerry Dove Drive, Florence, SC, zip=29501], name=Cristian Moss, salary=12500]
>>> Employee names and their salaries:
>>> [Name=James Wilson, salary=12500]
>>> [Name=Daniel Adams, salary=11000]
>>> [Name=Cristian Moss, salary=12500]
>>> [Name=Allison Mathis, salary=25300]
>>> [Name=Breana Robbin, salary=6500]
>>> [Name=Philip Horsley, salary=19800]
>>> [Name=Brian Peters, salary=10600]
>>> Employees living in Texas:
as you can see in output no employees with zip code "94109" and no employees from Texas but in code were created 2 employees with zip "94109":
employeeCache.put(new EmployeeKey(1, 1), new Employee(
"James Wilson",
12500,
new Address("1096 Eddy Street, San Francisco, CA", 94109),
Arrays.asList("Human Resources", "Customer Service")
));
employeeCache.put(new EmployeeKey(4, 2), new Employee(
"Allison Mathis",
25300,
new Address("2702 Freedom Lane, San Francisco, CA", 94109),
Arrays.asList("Development")
));
and two employees from TX:
employeeCache.put(new EmployeeKey(2, 1), new Employee(
"Daniel Adams",
11000,
new Address("184 Fidler Drive, San Antonio, TX", 78130),
Arrays.asList("Development", "QA")
));
employeeCache.put(new EmployeeKey(5, 2), new Employee(
"Breana Robbin",
6500,
new Address("3960 Sundown Lane, Austin, TX", 78130),
Arrays.asList("Sales")
));