Instance | Branch |
---|
-- show running queries (pre 9.2) | |
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query | |
FROM pg_stat_activity | |
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' | |
ORDER BY query_start desc; | |
-- show running queries (9.2) | |
SELECT pid, age(clock_timestamp(), query_start), usename, query | |
FROM pg_stat_activity | |
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' |
package org.codefx.lab.stream; | |
import java.util.Collection; | |
import java.util.Objects; | |
import java.util.Optional; | |
import java.util.function.BinaryOperator; | |
import java.util.function.Supplier; | |
/** | |
* Finds a certain customer in a collection of customers. |
#!/bin/bash | |
# bash generate random alphanumeric string | |
# | |
# bash generate random 32 character alphanumeric string (upper and lowercase) and | |
NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 32 | head -n 1) | |
# bash generate random 32 character alphanumeric string (lowercase only) | |
cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 32 | head -n 1 |
#include <string> | |
#include <functional> | |
using namespace std; | |
template <typename T> | |
struct Maybe{ | |
T just; | |
bool isNothing; | |
}; |
import javax.persistence.EntityManager; | |
import com.google.inject.AbstractModule; | |
import com.google.inject.Inject; | |
import com.google.inject.Singleton; | |
import com.google.inject.persist.PersistService; | |
import com.google.inject.persist.jpa.JpaPersistModule; | |
public class DatabaseModule extends AbstractModule { | |
Every application ever written can be viewed as some sort of transformation on data. Data can come from different sources, such as a network or a file or user input or the Large Hadron Collider. It can come from many sources all at once to be merged and aggregated in interesting ways, and it can be produced into many different output sinks, such as a network or files or graphical user interfaces. You might produce your output all at once, as a big data dump at the end of the world (right before your program shuts down), or you might produce it more incrementally. Every application fits into this model.
The scalaz-stream project is an attempt to make it easy to construct, test and scale programs that fit within this model (which is to say, everything). It does this by providing an abstraction around a "stream" of data, which is really just this notion of some number of data being sequentially pulled out of some unspecified data source. On top of this abstraction, sca
There exist several DI frameworks / libraries
in the Scala
ecosystem. But the more functional code you write the more you'll realize there's no need to use any of them.
A few of the most claimed benefits are the following:
- Dependency Injection.
- Life cycle management.
- Dependency graph rewriting.
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/** | |
* D Holbrook | |
* | |
* Code Club: PO1 | |
* | |
* (*) Define a binary tree data structure and related fundamental operations. | |
* | |
* Use whichever language features are the best fit (this will depend on the language you have selected). The following operations should be supported: | |
* | |
* Constructors |