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org.frameworkset.nosql.redis.RedisHelper Maven / Gradle / Ivy

package org.frameworkset.nosql.redis;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import redis.clients.jedis.ClusterPipeline;
import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPubSub;
import redis.clients.jedis.Pipeline;
import redis.clients.jedis.args.ListPosition;
import redis.clients.jedis.params.SortingParams;
import redis.clients.jedis.params.ZAddParams;
import redis.clients.jedis.params.ZIncrByParams;

import java.util.List;
import java.util.Map;
import java.util.Set;

//import redis.clients.jedis.BinaryClient.LIST_POSITION;
//import redis.clients.jedis.params.sortedset.ZAddParams;
//import redis.clients.jedis.params.sortedset.ZIncrByParams;

//import redis.clients.jedis.params.set.SetParams;

public class RedisHelper {
	private static Logger logger = LoggerFactory.getLogger(RedisHelper.class);

	public Jedis getJedis() {
		init();
		return jedis;
	}



	private Jedis jedis;
//	private ShardedJedis shardedJedis;
	private ProviderJedisCluster jc;
	private RedisDB db;
	private boolean inited;
	
	public RedisHelper(RedisDB db ) {
		 this.db = db;
		
	}
	public void init()
	{
		if(inited)
			return;
//		if(db.getMode().equals(db.mode_shared))
//		{
//			this.shardedJedis = db.getSharedRedis();
//		}
//		else
		if(db.getMode().equals(db.mode_cluster))
		{
			this.jc = db.geJedisCluster();
		}
		else if(db.getMode().equals(db.mode_single))
		{
			this.jedis = db.getRedis();
		}
		inited = true;	
	}


	public void release()
	{
		closePipeline(pipeline);
		closePipeline(clusterPipeline);
//		if(shardedJedis != null)
//			try {
//				db.releaseSharedRedis(shardedJedis);
//			} catch (Exception e) {
//				logger.warn("",e);
//			}
		if(this.jedis != null) {
			try {
				db.releaseRedis(jedis);
			} catch (Exception e) {
				logger.warn("", e);
			}
		}
	}
	/**
	   * Set the string value as value of the key. The string can't be longer than 1073741824 bytes (1
	   * GB).
	   * 

* Time complexity: O(1) * @param key * @param value * @return Status code reply */ public String set(final String key, String value) { init(); // if(shardedJedis != null) // return shardedJedis.set(key, value); // else if(this.jedis != null) return jedis.set(key, value); else return jc.set(key, value); } // /** // * Set the string value as value of the key. The string can't be longer than 1073741824 bytes (1 // * GB). // * @param key // * @param value // * @param params NX|XX, NX -- Only set the key if it does not already exist. XX -- Only set the // * key if it already exist. EX|PX, expire time units: EX = seconds; PX = milliseconds // * @return Status code reply // */ // public String set(final String key, final String value, final SetParams params) { // init(); // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } /** * Get the value of the specified key. If the key does not exist null is returned. If the value * stored at key is not a string an error is returned because GET can only handle string values. *

* Time complexity: O(1) * @param key * @return Bulk reply */ public String get(final String key) { init(); // if(shardedJedis != null) // return shardedJedis.get( key); // else if(this.jedis != null) return jedis.get( key); else return jc.get( key); } /** * Test if the specified key exists. The command returns the number of keys existed Time * complexity: O(N) * @param keys * @return Integer reply, specifically: an integer greater than 0 if one or more keys were removed * 0 if none of the specified key existed */ public Long exists(final String... keys) { init(); if(this.jedis != null) return jedis.exists( keys); else return jc.exists( keys); } /** * Test if the specified key exists. The command returns "1" if the key exists, otherwise "0" is * returned. Note that even keys set with an empty string as value will return "1". Time * complexity: O(1) * @param key * @return Boolean reply, true if the key exists, otherwise false */ public Boolean exists(final String key) { init(); if(this.jedis != null) return jedis.exists( key); else return jc.exists( key); } /** * Remove the specified keys. If a given key does not exist no operation is performed for this * key. The command returns the number of keys removed. Time complexity: O(1) * @param keys * @return Integer reply, specifically: an integer greater than 0 if one or more keys were removed * 0 if none of the specified key existed */ public Long del(final String... keys) { init(); if(this.jedis != null) return jedis.del( keys); else return jc.del( keys); } public Long del(String key) { init(); if(this.jedis != null) return jedis.del( key); else return jc.del( key); } /** * Return the type of the value stored at key in form of a string. The type can be one of "none", * "string", "list", "set". "none" is returned if the key does not exist. Time complexity: O(1) * @param key * @return Status code reply, specifically: "none" if the key does not exist "string" if the key * contains a String value "list" if the key contains a List value "set" if the key * contains a Set value "zset" if the key contains a Sorted Set value "hash" if the key * contains a Hash value */ public String type(final String key) { init(); if(this.jedis != null) return jedis.type( key) ; else return jc.type( key) ; } /** * Returns all the keys matching the glob-style pattern as space separated strings. For example if * you have in the database the keys "foo" and "foobar" the command "KEYS foo*" will return * "foo foobar". *

* Note that while the time complexity for this operation is O(n) the constant times are pretty * low. For example Redis running on an entry level laptop can scan a 1 million keys database in * 40 milliseconds. Still it's better to consider this one of the slow commands that may ruin * the DB performance if not used with care. *

* In other words this command is intended only for debugging and special operations like creating * a script to change the DB schema. Don't use it in your normal code. Use Redis Sets in order to * group together a subset of objects. *

* Glob style patterns examples: *

    *
  • h?llo will match hello hallo hhllo *
  • h*llo will match hllo heeeello *
  • h[ae]llo will match hello and hallo, but not hillo *
*

* Use \ to escape special chars if you want to match them verbatim. *

* Time complexity: O(n) (with n being the number of keys in the DB, and assuming keys and pattern * of limited length) * @param pattern * @return Multi bulk reply */ public Set keys(final String pattern) { init(); if(this.jedis != null) return jedis.keys( pattern) ; else throw new java.lang.UnsupportedOperationException("Jedis cluster Unsupport keys pattern mehtod."); } /** * Return a randomly selected key from the currently selected DB. *

* Time complexity: O(1) * @return Singe line reply, specifically the randomly selected key or an empty string is the * database is empty */ public String randomKey() { init(); if(this.jedis != null) return jedis.randomKey(); else throw new java.lang.UnsupportedOperationException("Jedis cluster Unsupport randomKey mehtod."); } // /** // * Atomically renames the key oldkey to newkey. If the source and destination name are the same an // * error is returned. If newkey already exists it is overwritten. // *

// * Time complexity: O(1) // * @param oldkey // * @param newkey // * @return Status code repy // */ // @Override // public String rename(final String oldkey, final String newkey) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // /** // * Rename oldkey into newkey but fails if the destination key newkey already exists. // *

// * Time complexity: O(1) // * @param oldkey // * @param newkey // * @return Integer reply, specifically: 1 if the key was renamed 0 if the target key already exist // */ // @Override // public Long renamenx(final String oldkey, final String newkey) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } /** * Set a timeout on the specified key. After the timeout the key will be automatically deleted by * the server. A key with an associated timeout is said to be volatile in Redis terminology. *

* Voltile keys are stored on disk like the other keys, the timeout is persistent too like all the * other aspects of the dataset. Saving a dataset containing expires and stopping the server does * not stop the flow of time as Redis stores on disk the time when the key will no longer be * available as Unix time, and not the remaining seconds. *

* Since Redis 2.1.3 you can update the value of the timeout of a key already having an expire * set. It is also possible to undo the expire at all turning the key into a normal key using the * {@link #persist(String) PERSIST} command. *

* Time complexity: O(1) * @see Expire Command * @param key * @param seconds * @return Integer reply, specifically: 1: the timeout was set. 0: the timeout was not set since * the key already has an associated timeout (this may happen only in Redis versions < * 2.1.3, Redis >= 2.1.3 will happily update the timeout), or the key does not exist. */ public Long expire(final String key, final int seconds) { init(); if(this.jedis != null) return jedis.expire( key, seconds); else return jc.expire( key, seconds); } /** * EXPIREAT works exctly like {@link #expire(String, int) EXPIRE} but instead to get the number of * seconds representing the Time To Live of the key as a second argument (that is a relative way * of specifing the TTL), it takes an absolute one in the form of a UNIX timestamp (Number of * seconds elapsed since 1 Gen 1970). *

* EXPIREAT was introduced in order to implement the Append Only File persistence mode so that * EXPIRE commands are automatically translated into EXPIREAT commands for the append only file. * Of course EXPIREAT can also used by programmers that need a way to simply specify that a given * key should expire at a given time in the future. *

* Since Redis 2.1.3 you can update the value of the timeout of a key already having an expire * set. It is also possible to undo the expire at all turning the key into a normal key using the * {@link #persist(String) PERSIST} command. *

* Time complexity: O(1) * @see Expire Command * @param key * @param unixTime * @return Integer reply, specifically: 1: the timeout was set. 0: the timeout was not set since * the key already has an associated timeout (this may happen only in Redis versions < * 2.1.3, Redis >= 2.1.3 will happily update the timeout), or the key does not exist. */ public Long expireAt(final String key, final long unixTime) { init(); if(this.jedis != null) return jedis.expireAt( key, unixTime); else return jc.expireAt( key, unixTime); } /** * The TTL command returns the remaining time to live in seconds of a key that has an * {@link #expire(String, int) EXPIRE} set. This introspection capability allows a Redis client to * check how many seconds a given key will continue to be part of the dataset. * @param key * @return Integer reply, returns the remaining time to live in seconds of a key that has an * EXPIRE. In Redis 2.6 or older, if the Key does not exists or does not have an * associated expire, -1 is returned. In Redis 2.8 or newer, if the Key does not have an * associated expire, -1 is returned or if the Key does not exists, -2 is returned. */ public Long ttl(final String key) { init(); if(this.jedis != null) return jedis.ttl( key) ; else return jc.ttl( key) ; } /** * GETSET is an atomic set this value and return the old value command. Set key to the string * value and return the old value stored at key. The string can't be longer than 1073741824 bytes * (1 GB). *

* Time complexity: O(1) * @param key * @param value * @return Bulk reply */ public String getSet(final String key, final String value) { init(); if(this.jedis != null) return jedis.getSet( key, value); else return jc.getSet( key, value); } /** * Get the values of all the specified keys. If one or more keys dont exist or is not of type * String, a 'nil' value is returned instead of the value of the specified key, but the operation * never fails. *

* Time complexity: O(1) for every key * @param keys * @return Multi bulk reply */ public List mget(final String... keys) { init(); if(this.jedis != null) return jedis.mget( keys) ; else return jc.mget( keys) ; } /** * SETNX works exactly like {@link #set(String, String) SET} with the only difference that if the * key already exists no operation is performed. SETNX actually means "SET if Not eXists". *

* Time complexity: O(1) * @param key * @param value * @return Integer reply, specifically: 1 if the key was set 0 if the key was not set */ public Long setnx(final String key, final String value) { init(); if(this.jedis != null) return jedis.setnx( key, value); else return jc.setnx( key, value); } /** * The command is exactly equivalent to the following group of commands: * {@link #set(String, String) SET} + {@link #expire(String, int) EXPIRE}. The operation is * atomic. *

* Time complexity: O(1) * @param key * @param seconds * @param value * @return Status code reply */ public String setex(final String key, final int seconds, final String value) { init(); if(this.jedis != null) return jedis.setex( key, seconds, value); else return jc.setex( key, seconds, value); } /** * Set the the respective keys to the respective values. MSET will replace old values with new * values, while {@link #msetnx(String...) MSETNX} will not perform any operation at all even if * just a single key already exists. *

* Because of this semantic MSETNX can be used in order to set different keys representing * different fields of an unique logic object in a way that ensures that either all the fields or * none at all are set. *

* Both MSET and MSETNX are atomic operations. This means that for instance if the keys A and B * are modified, another client talking to Redis can either see the changes to both A and B at * once, or no modification at all. * @see #msetnx(String...) * @param keysvalues * @return Status code reply Basically +OK as MSET can't fail */ public String mset(final String... keysvalues) { init(); if(this.jedis != null) return jedis.mset( keysvalues); else return jc.mset( keysvalues); } /** * Set the the respective keys to the respective values. {@link #mset(String...) MSET} will * replace old values with new values, while MSETNX will not perform any operation at all even if * just a single key already exists. *

* Because of this semantic MSETNX can be used in order to set different keys representing * different fields of an unique logic object in a way that ensures that either all the fields or * none at all are set. *

* Both MSET and MSETNX are atomic operations. This means that for instance if the keys A and B * are modified, another client talking to Redis can either see the changes to both A and B at * once, or no modification at all. * @see #mset(String...) * @param keysvalues * @return Integer reply, specifically: 1 if the all the keys were set 0 if no key was set (at * least one key already existed) */ public Long msetnx(final String... keysvalues) { init(); if(this.jedis != null) return jedis.msetnx( keysvalues) ; else return jc.msetnx( keysvalues); } /** * IDECRBY work just like {@link #decr(String) INCR} but instead to decrement by 1 the decrement * is integer. *

* INCR commands are limited to 64 bit signed integers. *

* Note: this is actually a string operation, that is, in Redis there are not "integer" types. * Simply the string stored at the key is parsed as a base 10 64 bit signed integer, incremented, * and then converted back as a string. *

* Time complexity: O(1) * @see #incr(String) * @see #decr(String) * @see #incrBy(String, long) * @param key * @param integer * @return Integer reply, this commands will reply with the new value of key after the increment. */ public Long decrBy(final String key, final long integer) { init(); if(this.jedis != null) return jedis.decrBy( key, integer) ; else return jc.decrBy( key, integer) ; } /** * Decrement the number stored at key by one. If the key does not exist or contains a value of a * wrong type, set the key to the value of "0" before to perform the decrement operation. *

* INCR commands are limited to 64 bit signed integers. *

* Note: this is actually a string operation, that is, in Redis there are not "integer" types. * Simply the string stored at the key is parsed as a base 10 64 bit signed integer, incremented, * and then converted back as a string. *

* Time complexity: O(1) * @see #incr(String) * @see #incrBy(String, long) * @see #decrBy(String, long) * @param key * @return Integer reply, this commands will reply with the new value of key after the increment. */ public Long decr(final String key) { init(); if(this.jedis != null) return jedis.decr( key); else return jc.decr( key); } /** * INCRBY work just like {@link #incr(String) INCR} but instead to increment by 1 the increment is * integer. *

* INCR commands are limited to 64 bit signed integers. *

* Note: this is actually a string operation, that is, in Redis there are not "integer" types. * Simply the string stored at the key is parsed as a base 10 64 bit signed integer, incremented, * and then converted back as a string. *

* Time complexity: O(1) * @see #incr(String) * @see #decr(String) * @see #decrBy(String, long) * @param key * @param integer * @return Integer reply, this commands will reply with the new value of key after the increment. */ public Long incrBy(final String key, final long integer) { init(); if(this.jedis != null) return jedis.incrBy( key, integer); else return jc.incrBy( key, integer); } /** * INCRBYFLOAT *

* INCRBYFLOAT commands are limited to double precision floating point values. *

* Note: this is actually a string operation, that is, in Redis there are not "double" types. * Simply the string stored at the key is parsed as a base double precision floating point value, * incremented, and then converted back as a string. There is no DECRYBYFLOAT but providing a * negative value will work as expected. *

* Time complexity: O(1) * @param key * @param value * @return Double reply, this commands will reply with the new value of key after the increment. */ public Double incrByFloat(final String key, final double value) { init(); if(this.jedis != null) return jedis.incrByFloat( key, value); else return jc.incrByFloat( key, value); } /** * Increment the number stored at key by one. If the key does not exist or contains a value of a * wrong type, set the key to the value of "0" before to perform the increment operation. *

* INCR commands are limited to 64 bit signed integers. *

* Note: this is actually a string operation, that is, in Redis there are not "integer" types. * Simply the string stored at the key is parsed as a base 10 64 bit signed integer, incremented, * and then converted back as a string. *

* Time complexity: O(1) * @see #incrBy(String, long) * @see #decr(String) * @see #decrBy(String, long) * @param key * @return Integer reply, this commands will reply with the new value of key after the increment. */ public Long incr(final String key) { init(); if(this.jedis != null) return jedis.incr( key); else return jc.incr( key); } /** * If the key already exists and is a string, this command appends the provided value at the end * of the string. If the key does not exist it is created and set as an empty string, so APPEND * will be very similar to SET in this special case. *

* Time complexity: O(1). The amortized time complexity is O(1) assuming the appended value is * small and the already present value is of any size, since the dynamic string library used by * Redis will double the free space available on every reallocation. * @param key * @param value * @return Integer reply, specifically the total length of the string after the append operation. */ public Long append(final String key, final String value) { init(); if(this.jedis != null) return jedis.append( key, value); else return jc.append( key, value); } /** * Return a subset of the string from offset start to offset end (both offsets are inclusive). * Negative offsets can be used in order to provide an offset starting from the end of the string. * So -1 means the last char, -2 the penultimate and so forth. *

* The function handles out of range requests without raising an error, but just limiting the * resulting range to the actual length of the string. *

* Time complexity: O(start+n) (with start being the start index and n the total length of the * requested range). Note that the lookup part of this command is O(1) so for small strings this * is actually an O(1) command. * @param key * @param start * @param end * @return Bulk reply */ public String substr(final String key, final int start, final int end) { init(); if(this.jedis != null) return jedis.substr( key, start, end); else return jc.substr( key, start, end); } /** * Set the specified hash field to the specified value. *

* If key does not exist, a new key holding a hash is created. *

* Time complexity: O(1) * @param key * @param field * @param value * @return If the field already exists, and the HSET just produced an update of the value, 0 is * returned, otherwise if a new field is created 1 is returned. */ public Long hset(final String key, final String field, final String value) { init(); if(this.jedis != null) return jedis.hset( key, field, value) ; else return jc.hset( key, field, value) ; } /** * If key holds a hash, retrieve the value associated to the specified field. *

* If the field is not found or the key does not exist, a special 'nil' value is returned. *

* Time complexity: O(1) * @param key * @param field * @return Bulk reply */ public String hget(final String key, final String field) { init(); if(this.jedis != null) return jedis.hget( key, field); else return jc.hget( key, field); } /** * Set the specified hash field to the specified value if the field not exists. Time * complexity: O(1) * @param key * @param field * @param value * @return If the field already exists, 0 is returned, otherwise if a new field is created 1 is * returned. */ public Long hsetnx(final String key, final String field, final String value) { init(); if(this.jedis != null) return jedis.hsetnx( key, field, value) ; else return jc.hsetnx( key, field, value) ; } /** * Set the respective fields to the respective values. HMSET replaces old values with new values. *

* If key does not exist, a new key holding a hash is created. *

* Time complexity: O(N) (with N being the number of fields) * @param key * @param hash * @return Return OK or Exception if hash is empty */ public String hmset(final String key, final Map hash) { init(); if(this.jedis != null) return jedis. hmset( key, hash) ; else return jc. hmset( key, hash) ; } /** * Retrieve the values associated to the specified fields. *

* If some of the specified fields do not exist, nil values are returned. Non existing keys are * considered like empty hashes. *

* Time complexity: O(N) (with N being the number of fields) * @param key * @param fields * @return Multi Bulk Reply specifically a list of all the values associated with the specified * fields, in the same order of the request. */ public List hmget(final String key, final String... fields) { init(); if(this.jedis != null) return jedis.hmget( key, fields) ; else return jc.hmget( key, fields) ; } /** * Increment the number stored at field in the hash at key by value. If key does not exist, a new * key holding a hash is created. If field does not exist or holds a string, the value is set to 0 * before applying the operation. Since the value argument is signed you can use this command to * perform both increments and decrements. *

* The range of values supported by HINCRBY is limited to 64 bit signed integers. *

* Time complexity: O(1) * @param key * @param field * @param value * @return Integer reply The new value at field after the increment operation. */ public Long hincrBy(final String key, final String field, final long value) { init(); if(this.jedis != null) return jedis.hincrBy( key, field, value); else return jc.hincrBy( key, field, value); } /** * Increment the number stored at field in the hash at key by a double precision floating point * value. If key does not exist, a new key holding a hash is created. If field does not exist or * holds a string, the value is set to 0 before applying the operation. Since the value argument * is signed you can use this command to perform both increments and decrements. *

* The range of values supported by HINCRBYFLOAT is limited to double precision floating point * values. *

* Time complexity: O(1) * @param key * @param field * @param value * @return Double precision floating point reply The new value at field after the increment * operation. */ public Double hincrByFloat(final String key, final String field, final double value) { init(); if(this.jedis != null) return jedis. hincrByFloat( key, field, value); else return jc. hincrByFloat( key.getBytes(), field.getBytes(), value); } /** * Test for existence of a specified field in a hash. Time complexity: O(1) * @param key * @param field * @return Return 1 if the hash stored at key contains the specified field. Return 0 if the key is * not found or the field is not present. */ public Boolean hexists(final String key, final String field) { init(); if(this.jedis != null) return jedis. hexists( key, field) ; else return jc. hexists( key, field) ; } /** * Remove the specified field from an hash stored at key. *

* Time complexity: O(1) * @param key * @param fields * @return If the field was present in the hash it is deleted and 1 is returned, otherwise 0 is * returned and no operation is performed. */ public Long hdel(final String key, final String... fields) { init(); if(this.jedis != null) return jedis.hdel( key, fields); else return jc.hdel( key, fields); } /** * Return the number of items in a hash. *

* Time complexity: O(1) * @param key * @return The number of entries (fields) contained in the hash stored at key. If the specified * key does not exist, 0 is returned assuming an empty hash. */ public Long hlen(final String key) { init(); if(this.jedis != null) return jedis.hlen( key); else return jc.hlen( key); } /** * Return all the fields in a hash. *

* Time complexity: O(N), where N is the total number of entries * @param key * @return All the fields names contained into a hash. */ public Set hkeys(final String key) { init(); if(this.jedis != null) return jedis.hkeys( key); else return jc.hkeys( key); } /** * Return all the values in a hash. *

* Time complexity: O(N), where N is the total number of entries * @param key * @return All the fields values contained into a hash. */ public List hvals(final String key) { init(); if(this.jedis != null) return jedis.hvals( key) ; else return jc.hvals( key) ; } /** * Return all the fields and associated values in a hash. *

* Time complexity: O(N), where N is the total number of entries * @param key * @return All the fields and values contained into a hash. */ public Map hgetAll(final String key) { init(); if(this.jedis != null) return jedis.hgetAll( key); else return jc.hgetAll( key); } /** * Add the string value to the head (LPUSH) or tail (RPUSH) of the list stored at key. If the key * does not exist an empty list is created just before the append operation. If the key exists but * is not a List an error is returned. *

* Time complexity: O(1) * @param key * @param strings * @return Integer reply, specifically, the number of elements inside the list after the push * operation. */ public Long rpush(final String key, final String... strings) { init(); if(this.jedis != null) return jedis.rpush( key, strings) ; else return jc.rpush( key, strings) ; } /** * Add the string value to the head (LPUSH) or tail (RPUSH) of the list stored at key. If the key * does not exist an empty list is created just before the append operation. If the key exists but * is not a List an error is returned. *

* Time complexity: O(1) * @param key * @param strings * @return Integer reply, specifically, the number of elements inside the list after the push * operation. */ public Long lpush(final String key, final String... strings) { init(); if(this.jedis != null) return jedis.lpush( key, strings) ; else return jc.lpush( key, strings) ; } /** * Return the length of the list stored at the specified key. If the key does not exist zero is * returned (the same behaviour as for empty lists). If the value stored at key is not a list an * error is returned. *

* Time complexity: O(1) * @param key * @return The length of the list. */ public Long llen(final String key) { init(); if(this.jedis != null) return jedis.llen( key); else return jc.llen( key); } /** * Return the specified elements of the list stored at the specified key. Start and end are * zero-based indexes. 0 is the first element of the list (the list head), 1 the next element and * so on. *

* For example LRANGE foobar 0 2 will return the first three elements of the list. *

* start and end can also be negative numbers indicating offsets from the end of the list. For * example -1 is the last element of the list, -2 the penultimate element and so on. *

* Consistency with range functions in various programming languages *

* Note that if you have a list of numbers from 0 to 100, LRANGE 0 10 will return 11 elements, * that is, rightmost item is included. This may or may not be consistent with behavior of * range-related functions in your programming language of choice (think Ruby's Range.new, * Array#slice or Python's range() function). *

* LRANGE behavior is consistent with one of Tcl. *

* Out-of-range indexes *

* Indexes out of range will not produce an error: if start is over the end of the list, or start * > end, an empty list is returned. If end is over the end of the list Redis will threat it * just like the last element of the list. *

* Time complexity: O(start+n) (with n being the length of the range and start being the start * offset) * @param key * @param start * @param end * @return Multi bulk reply, specifically a list of elements in the specified range. */ public List lrange(final String key, final long start, final long end) { init(); if(this.jedis != null) return jedis.lrange( key, start, end); else return jc.lrange( key, start, end); } /** * Trim an existing list so that it will contain only the specified range of elements specified. * Start and end are zero-based indexes. 0 is the first element of the list (the list head), 1 the * next element and so on. *

* For example LTRIM foobar 0 2 will modify the list stored at foobar key so that only the first * three elements of the list will remain. *

* start and end can also be negative numbers indicating offsets from the end of the list. For * example -1 is the last element of the list, -2 the penultimate element and so on. *

* Indexes out of range will not produce an error: if start is over the end of the list, or start * > end, an empty list is left as value. If end over the end of the list Redis will threat it * just like the last element of the list. *

* Hint: the obvious use of LTRIM is together with LPUSH/RPUSH. For example: *

* {@code lpush("mylist", "someelement"); ltrim("mylist", 0, 99); * } *

* The above two commands will push elements in the list taking care that the list will not grow * without limits. This is very useful when using Redis to store logs for example. It is important * to note that when used in this way LTRIM is an O(1) operation because in the average case just * one element is removed from the tail of the list. *

* Time complexity: O(n) (with n being len of list - len of range) * @param key * @param start * @param end * @return Status code reply */ public String ltrim(final String key, final long start, final long end) { init(); if(this.jedis != null) return jedis.ltrim( key, start, end); else return jc.ltrim( key, start, end); } /** * Return the specified element of the list stored at the specified key. 0 is the first element, 1 * the second and so on. Negative indexes are supported, for example -1 is the last element, -2 * the penultimate and so on. *

* If the value stored at key is not of list type an error is returned. If the index is out of * range a 'nil' reply is returned. *

* Note that even if the average time complexity is O(n) asking for the first or the last element * of the list is O(1). *

* Time complexity: O(n) (with n being the length of the list) * @param key * @param index * @return Bulk reply, specifically the requested element */ public String lindex(final String key, final long index) { init(); if(this.jedis != null) return jedis.lindex( key, index); else return jc.lindex( key, index); } /** * Set a new value as the element at index position of the List at key. *

* Out of range indexes will generate an error. *

* Similarly to other list commands accepting indexes, the index can be negative to access * elements starting from the end of the list. So -1 is the last element, -2 is the penultimate, * and so forth. *

* Time complexity: *

* O(N) (with N being the length of the list), setting the first or last elements of the list is * O(1). * @see #lindex(String, long) * @param key * @param index * @param value * @return Status code reply */ public String lset(final String key, final long index, final String value) { init(); if(this.jedis != null) return jedis.lset( key, index, value); else return jc.lset( key, index, value); } /** * Remove the first count occurrences of the value element from the list. If count is zero all the * elements are removed. If count is negative elements are removed from tail to head, instead to * go from head to tail that is the normal behaviour. So for example LREM with count -2 and hello * as value to remove against the list (a,b,c,hello,x,hello,hello) will lave the list * (a,b,c,hello,x). The number of removed elements is returned as an integer, see below for more * information about the returned value. Note that non existing keys are considered like empty * lists by LREM, so LREM against non existing keys will always return 0. *

* Time complexity: O(N) (with N being the length of the list) * @param key * @param count * @param value * @return Integer Reply, specifically: The number of removed elements if the operation succeeded */ public Long lrem(final String key, final long count, final String value) { init(); if(this.jedis != null) return jedis.lrem( key, count, value); else return jc.lrem( key, count, value); } /** * Atomically return and remove the first (LPOP) or last (RPOP) element of the list. For example * if the list contains the elements "a","b","c" LPOP will return "a" and the list will become * "b","c". *

* If the key does not exist or the list is already empty the special value 'nil' is returned. * @see #rpop(String) * @param key * @return Bulk reply */ public String lpop(final String key) { init(); if(this.jedis != null) return jedis.lpop( key); else return jc.lpop( key); } /** * Atomically return and remove the first (LPOP) or last (RPOP) element of the list. For example * if the list contains the elements "a","b","c" RPOP will return "c" and the list will become * "a","b". *

* If the key does not exist or the list is already empty the special value 'nil' is returned. * @see #lpop(String) * @param key * @return Bulk reply */ public String rpop(final String key) { init(); if(this.jedis != null) return jedis.rpop( key); else return jc.rpop( key); } /** * Atomically return and remove the last (tail) element of the srckey list, and push the element * as the first (head) element of the dstkey list. For example if the source list contains the * elements "a","b","c" and the destination list contains the elements "foo","bar" after an * RPOPLPUSH command the content of the two lists will be "a","b" and "c","foo","bar". *

* If the key does not exist or the list is already empty the special value 'nil' is returned. If * the srckey and dstkey are the same the operation is equivalent to removing the last element * from the list and pusing it as first element of the list, so it's a "list rotation" command. *

* Time complexity: O(1) * @param srckey * @param dstkey * @return Bulk reply */ public String rpoplpush(final String srckey, final String dstkey) { init(); if(this.jedis != null) return jedis.rpoplpush( srckey, dstkey); else return jc.rpoplpush( srckey, dstkey); } /** * Add the specified member to the set value stored at key. If member is already a member of the * set no operation is performed. If key does not exist a new set with the specified member as * sole member is created. If the key exists but does not hold a set value an error is returned. *

* Time complexity O(1) * @param key * @param members * @return Integer reply, specifically: 1 if the new element was added 0 if the element was * already a member of the set */ public Long sadd(final String key, final String... members) { init(); if(this.jedis != null) return jedis.sadd( key, members); else return jc.sadd( key, members); } /** * Return all the members (elements) of the set value stored at key. This is just syntax glue for * {@link #sinter(String...) SINTER}. *

* Time complexity O(N) * @param key * @return Multi bulk reply */ public Set smembers(final String key) { init(); if(this.jedis != null) return jedis.smembers( key); else return jc.smembers( key); } /** * Remove the specified member from the set value stored at key. If member was not a member of the * set no operation is performed. If key does not hold a set value an error is returned. *

* Time complexity O(1) * @param key * @param members * @return Integer reply, specifically: 1 if the new element was removed 0 if the new element was * not a member of the set */ public Long srem(final String key, final String... members) { init(); if(this.jedis != null) return jedis.srem( key, members) ; else return jc.srem( key, members) ; } /** * Remove a random element from a Set returning it as return value. If the Set is empty or the key * does not exist, a nil object is returned. *

* The {@link #srandmember(String)} command does a similar work but the returned element is not * removed from the Set. *

* Time complexity O(1) * @param key * @return Bulk reply */ public String spop(final String key) { init(); if(this.jedis != null) return jedis.spop( key); else return jc.spop( key); } public Set spop(final String key, final long count) { init(); if(this.jedis != null) return jedis.spop( key, count); else return jc.spop( key, count); } /** * Move the specifided member from the set at srckey to the set at dstkey. This operation is * atomic, in every given moment the element will appear to be in the source or destination set * for accessing clients. *

* If the source set does not exist or does not contain the specified element no operation is * performed and zero is returned, otherwise the element is removed from the source set and added * to the destination set. On success one is returned, even if the element was already present in * the destination set. *

* An error is raised if the source or destination keys contain a non Set value. *

* Time complexity O(1) * @param srckey * @param dstkey * @param member * @return Integer reply, specifically: 1 if the element was moved 0 if the element was not found * on the first set and no operation was performed */ public Long smove(final String srckey, final String dstkey, final String member) { init(); if(this.jedis != null) return jedis.smove( srckey, dstkey, member); else return jc.smove( srckey, dstkey, member); } /** * Return the set cardinality (number of elements). If the key does not exist 0 is returned, like * for empty sets. * @param key * @return Integer reply, specifically: the cardinality (number of elements) of the set as an * integer. */ public Long scard(final String key) { init(); if(this.jedis != null) return jedis.scard( key) ; else return jc.scard( key) ; } /** * Return 1 if member is a member of the set stored at key, otherwise 0 is returned. *

* Time complexity O(1) * @param key * @param member * @return Integer reply, specifically: 1 if the element is a member of the set 0 if the element * is not a member of the set OR if the key does not exist */ public Boolean sismember(final String key, final String member) { init(); if(this.jedis != null) return jedis.sismember( key, member); else return jc.sismember( key, member); } /** * Return the members of a set resulting from the intersection of all the sets hold at the * specified keys. Like in {@link #lrange(String, long, long) LRANGE} the result is sent to the * client as a multi-bulk reply (see the protocol specification for more information). If just a * single key is specified, then this command produces the same result as * {@link #smembers(String) SMEMBERS}. Actually SMEMBERS is just syntax sugar for SINTER. *

* Non existing keys are considered like empty sets, so if one of the keys is missing an empty set * is returned (since the intersection with an empty set always is an empty set). *

* Time complexity O(N*M) worst case where N is the cardinality of the smallest set and M the * number of sets * @param keys * @return Multi bulk reply, specifically the list of common elements. */ public Set sinter(final String... keys) { init(); if(this.jedis != null) return jedis.sinter( keys); else return jc.sinter( keys); } /** * This commnad works exactly like {@link #sinter(String...) SINTER} but instead of being returned * the resulting set is sotred as dstkey. *

* Time complexity O(N*M) worst case where N is the cardinality of the smallest set and M the * number of sets * @param dstkey * @param keys * @return Status code reply */ public Long sinterstore(final String dstkey, final String... keys) { init(); if(this.jedis != null) return jedis.sinterstore( dstkey, keys); else return jc.sinterstore( dstkey, keys); } /** * Return the members of a set resulting from the union of all the sets hold at the specified * keys. Like in {@link #lrange(String, long, long) LRANGE} the result is sent to the client as a * multi-bulk reply (see the protocol specification for more information). If just a single key is * specified, then this command produces the same result as {@link #smembers(String) SMEMBERS}. *

* Non existing keys are considered like empty sets. *

* Time complexity O(N) where N is the total number of elements in all the provided sets * @param keys * @return Multi bulk reply, specifically the list of common elements. */ public Set sunion(final String... keys) { init(); if(this.jedis != null) return jedis.sunion( keys); else return jc.sunion( keys); } /** * This command works exactly like {@link #sunion(String...) SUNION} but instead of being returned * the resulting set is stored as dstkey. Any existing value in dstkey will be over-written. *

* Time complexity O(N) where N is the total number of elements in all the provided sets * @param dstkey * @param keys * @return Status code reply */ public Long sunionstore(final String dstkey, final String... keys) { init(); if(this.jedis != null) return jedis.sunionstore( dstkey, keys); else return jc.sunionstore( dstkey, keys); } /** * Return the difference between the Set stored at key1 and all the Sets key2, ..., keyN *

* Example: * *

	   * key1 = [x, a, b, c]
	   * key2 = [c]
	   * key3 = [a, d]
	   * SDIFF key1,key2,key3 => [x, b]
	   * 
* * Non existing keys are considered like empty sets. *

* Time complexity: *

* O(N) with N being the total number of elements of all the sets * @param keys * @return Return the members of a set resulting from the difference between the first set * provided and all the successive sets. */ public Set sdiff(final String... keys) { init(); if(this.jedis != null) return jedis.sdiff( keys) ; else return jc.sdiff( keys) ; } /** * This command works exactly like {@link #sdiff(String...) SDIFF} but instead of being returned * the resulting set is stored in dstkey. * @param dstkey * @param keys * @return Status code reply */ public Long sdiffstore(final String dstkey, final String... keys) { init(); if(this.jedis != null) return jedis.sdiffstore( dstkey, keys); else return jc.sdiffstore( dstkey, keys); } /** * Return a random element from a Set, without removing the element. If the Set is empty or the * key does not exist, a nil object is returned. *

* The SPOP command does a similar work but the returned element is popped (removed) from the Set. *

* Time complexity O(1) * @param key * @return Bulk reply */ public String srandmember(final String key) { init(); if(this.jedis != null) return jedis.srandmember( key) ; else return jc.srandmember( key) ; } public List srandmember(final String key, final int count) { init(); if(this.jedis != null) return jedis.srandmember( key, count); else return jc.srandmember( key, count); } /** * Add the specified member having the specifeid score to the sorted set stored at key. If member * is already a member of the sorted set the score is updated, and the element reinserted in the * right position to ensure sorting. If key does not exist a new sorted set with the specified * member as sole member is crated. If the key exists but does not hold a sorted set value an * error is returned. *

* The score value can be the string representation of a double precision floating point number. *

* Time complexity O(log(N)) with N being the number of elements in the sorted set * @param key * @param score * @param member * @return Integer reply, specifically: 1 if the new element was added 0 if the element was * already a member of the sorted set and the score was updated */ public Long zadd(final String key, final double score, final String member) { init(); if(this.jedis != null) return jedis.zadd( key, score, member); else return jc.zadd( key, score, member); } public Long zadd(final String key, final double score, final String member, final ZAddParams params) { init(); if(this.jedis != null) return jedis.zadd( key, score, member, params); else return jc.zadd( key, score, member, params); } public Long zadd(final String key, final Map scoreMembers) { init(); if(this.jedis != null) return jedis.zadd( key, scoreMembers) ; else return jc.zadd( key, scoreMembers) ; } public Long zadd(String key, Map scoreMembers, ZAddParams params) { init(); if(this.jedis != null) return jedis.zadd( key, scoreMembers, params); else return jc.zadd( key, scoreMembers, params); } public List zrange(final String key, final long start, final long end) { init(); if(this.jedis != null) return jedis.zrange( key, start, end); else return jc.zrange( key, start, end); } /** * Remove the specified member from the sorted set value stored at key. If member was not a member * of the set no operation is performed. If key does not not hold a set value an error is * returned. *

* Time complexity O(log(N)) with N being the number of elements in the sorted set * @param key * @param members * @return Integer reply, specifically: 1 if the new element was removed 0 if the new element was * not a member of the set */ public Long zrem(final String key, final String... members) { init(); if(this.jedis != null) return jedis.zrem( key, members); else return jc.zrem( key, members); } /** * If member already exists in the sorted set adds the increment to its score and updates the * position of the element in the sorted set accordingly. If member does not already exist in the * sorted set it is added with increment as score (that is, like if the previous score was * virtually zero). If key does not exist a new sorted set with the specified member as sole * member is crated. If the key exists but does not hold a sorted set value an error is returned. *

* The score value can be the string representation of a double precision floating point number. * It's possible to provide a negative value to perform a decrement. *

* For an introduction to sorted sets check the Introduction to Redis data types page. *

* Time complexity O(log(N)) with N being the number of elements in the sorted set * @param key * @param score * @param member * @return The new score */ public Double zincrby(final String key, final double score, final String member) { init(); if(this.jedis != null) return jedis.zincrby( key, score, member); else return jc.zincrby( key, score, member); } public Double zincrby(String key, double score, String member, ZIncrByParams params) { init(); if(this.jedis != null) return jedis.zincrby( key, score, member, params); else return jc.zincrby( key, score, member, params); } /** * Return the rank (or index) or member in the sorted set at key, with scores being ordered from * low to high. *

* When the given member does not exist in the sorted set, the special value 'nil' is returned. * The returned rank (or index) of the member is 0-based for both commands. *

* Time complexity: *

* O(log(N)) * @param key * @param member * @return Integer reply or a nil bulk reply, specifically: the rank of the element as an integer * reply if the element exists. A nil bulk reply if there is no such element. */ public Long zrank(final String key, final String member) { init(); if(this.jedis != null) return jedis.zrank( key, member); else return jc.zrank( key, member); } // /** // * Return the rank (or index) or member in the sorted set at key, with scores being ordered from // * high to low. // *

// * When the given member does not exist in the sorted set, the special value 'nil' is returned. // * The returned rank (or index) of the member is 0-based for both commands. // *

// * Time complexity: // *

// * O(log(N)) // * @see #zrank(String, String) // * @param key // * @param member // * @return Integer reply or a nil bulk reply, specifically: the rank of the element as an integer // * reply if the element exists. A nil bulk reply if there is no such element. // */ // @Override // public Long zrevrank(final String key, final String member) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // // @Override // public Set zrevrange(final String key, final long start, final long end) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // // @Override // public Set zrangeWithScores(final String key, final long start, final long end) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // // @Override // public Set zrevrangeWithScores(final String key, final long start, final long end) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // /** * Return the sorted set cardinality (number of elements). If the key does not exist 0 is * returned, like for empty sorted sets. *

* Time complexity O(1) * @param key * @return the cardinality (number of elements) of the set as an integer. */ public Long zcard(final String key) { init(); if(this.jedis != null) return jedis.zcard( key); else return jc.zcard( key); } /** * Return the score of the specified element of the sorted set at key. If the specified element * does not exist in the sorted set, or the key does not exist at all, a special 'nil' value is * returned. *

* Time complexity: O(1) * @param key * @param member * @return the score */ public Double zscore(final String key, final String member) { init(); if(this.jedis != null) return jedis.zscore( key, member); else return jc.zscore( key, member); } // // @Override public String watch(final String... keys) { init(); if(this.jedis != null) return jedis.watch( keys) ; else throw new java.lang.UnsupportedOperationException("Cluster Jedis Unsupport watch mehtod."); } /** * Sort a Set or a List. *

* Sort the elements contained in the List, Set, or Sorted Set value at key. By default sorting is * numeric with elements being compared as double precision floating point numbers. This is the * simplest form of SORT. * @see #sort(String, String) * @param key * @return Assuming the Set/List at key contains a list of numbers, the return value will be the * list of numbers ordered from the smallest to the biggest number. */ public List sort(final String key) { init(); if(this.jedis != null) return jedis.sort( key) ; else return jc.sort( key) ; } /** * Sort a Set or a List accordingly to the specified parameters. *

* examples: *

* Given are the following sets and key/values: * *

	   * x = [1, 2, 3]
	   * y = [a, b, c]
	   * 
	   * k1 = z
	   * k2 = y
	   * k3 = x
	   * 
	   * w1 = 9
	   * w2 = 8
	   * w3 = 7
	   * 
* * Sort Order: * *
	   * sort(x) or sort(x, sp.asc())
	   * -> [1, 2, 3]
	   * 
	   * sort(x, sp.desc())
	   * -> [3, 2, 1]
	   * 
	   * sort(y)
	   * -> [c, a, b]
	   * 
	   * sort(y, sp.alpha())
	   * -> [a, b, c]
	   * 
	   * sort(y, sp.alpha().desc())
	   * -> [c, a, b]
	   * 
* * Limit (e.g. for Pagination): * *
	   * sort(x, sp.limit(0, 2))
	   * -> [1, 2]
	   * 
	   * sort(y, sp.alpha().desc().limit(1, 2))
	   * -> [b, a]
	   * 
* * Sorting by external keys: * *
	   * sort(x, sb.by(w*))
	   * -> [3, 2, 1]
	   * 
	   * sort(x, sb.by(w*).desc())
	   * -> [1, 2, 3]
	   * 
* * Getting external keys: * *
	   * sort(x, sp.by(w*).get(k*))
	   * -> [x, y, z]
	   * 
	   * sort(x, sp.by(w*).get(#).get(k*))
	   * -> [3, x, 2, y, 1, z]
	   * 
* @see #sort(String) * @see #sort(String, SortingParams, String) * @param key * @param sortingParameters * @return a list of sorted elements. */ public List sort(final String key, final SortingParams sortingParameters) { init(); if(this.jedis != null) return jedis.sort( key, sortingParameters); else return jc.sort( key, sortingParameters); } // /** // * BLPOP (and BRPOP) is a blocking list pop primitive. You can see this commands as blocking // * versions of LPOP and RPOP able to block if the specified keys don't exist or contain empty // * lists. // *

// * The following is a description of the exact semantic. We describe BLPOP but the two commands // * are identical, the only difference is that BLPOP pops the element from the left (head) of the // * list, and BRPOP pops from the right (tail). // *

// * Non blocking behavior // *

// * When BLPOP is called, if at least one of the specified keys contain a non empty list, an // * element is popped from the head of the list and returned to the caller together with the name // * of the key (BLPOP returns a two elements array, the first element is the key, the second the // * popped value). // *

// * Keys are scanned from left to right, so for instance if you issue BLPOP list1 list2 list3 0 // * against a dataset where list1 does not exist but list2 and list3 contain non empty lists, BLPOP // * guarantees to return an element from the list stored at list2 (since it is the first non empty // * list starting from the left). // *

// * Blocking behavior // *

// * If none of the specified keys exist or contain non empty lists, BLPOP blocks until some other // * client performs a LPUSH or an RPUSH operation against one of the lists. // *

// * Once new data is present on one of the lists, the client finally returns with the name of the // * key unblocking it and the popped value. // *

// * When blocking, if a non-zero timeout is specified, the client will unblock returning a nil // * special value if the specified amount of seconds passed without a push operation against at // * least one of the specified keys. // *

// * The timeout argument is interpreted as an integer value. A timeout of zero means instead to // * block forever. // *

// * Multiple clients blocking for the same keys // *

// * Multiple clients can block for the same key. They are put into a queue, so the first to be // * served will be the one that started to wait earlier, in a first-blpopping first-served fashion. // *

// * blocking POP inside a MULTI/EXEC transaction // *

// * BLPOP and BRPOP can be used with pipelining (sending multiple commands and reading the replies // * in batch), but it does not make sense to use BLPOP or BRPOP inside a MULTI/EXEC block (a Redis // * transaction). // *

// * The behavior of BLPOP inside MULTI/EXEC when the list is empty is to return a multi-bulk nil // * reply, exactly what happens when the timeout is reached. If you like science fiction, think at // * it like if inside MULTI/EXEC the time will flow at infinite speed :) // *

// * Time complexity: O(1) // * @see #brpop(int, String...) // * @param timeout // * @param keys // * @return BLPOP returns a two-elements array via a multi bulk reply in order to return both the // * unblocking key and the popped value. // *

// * When a non-zero timeout is specified, and the BLPOP operation timed out, the return // * value is a nil multi bulk reply. Most client values will return false or nil // * accordingly to the programming language used. // */ // // public List blpop(final int timeout, final String... keys) { // return blpop(getArgsAddTimeout(timeout, keys)); // } // // // // // public List blpop(String... args) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // // @Override // public List brpop(String... args) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } /** * Sort a Set or a List accordingly to the specified parameters and store the result at dstkey. * @see #sort(String, SortingParams) * @see #sort(String) * @see #sort(String, String) * @param key * @param sortingParameters * @param dstkey * @return The number of elements of the list at dstkey. */ public Long sort(final String key, final SortingParams sortingParameters, final String dstkey) { init(); if(this.jedis != null) return jedis.sort( key, sortingParameters, dstkey); else return jc.sort( key, sortingParameters, dstkey); } /** * Sort a Set or a List and Store the Result at dstkey. *

* Sort the elements contained in the List, Set, or Sorted Set value at key and store the result * at dstkey. By default sorting is numeric with elements being compared as double precision * floating point numbers. This is the simplest form of SORT. * @see #sort(String) * @see #sort(String, SortingParams) * @see #sort(String, SortingParams, String) * @param key * @param dstkey * @return The number of elements of the list at dstkey. */ public Long sort(final String key, final String dstkey) { init(); if(this.jedis != null) return jedis.sort( key, dstkey) ; else return jc.sort( key, dstkey) ; } /** * BLPOP (and BRPOP) is a blocking list pop primitive. You can see this commands as blocking * versions of LPOP and RPOP able to block if the specified keys don't exist or contain empty * lists. *

* The following is a description of the exact semantic. We describe BLPOP but the two commands * are identical, the only difference is that BLPOP pops the element from the left (head) of the * list, and BRPOP pops from the right (tail). *

* Non blocking behavior *

* When BLPOP is called, if at least one of the specified keys contain a non empty list, an * element is popped from the head of the list and returned to the caller together with the name * of the key (BLPOP returns a two elements array, the first element is the key, the second the * popped value). *

* Keys are scanned from left to right, so for instance if you issue BLPOP list1 list2 list3 0 * against a dataset where list1 does not exist but list2 and list3 contain non empty lists, BLPOP * guarantees to return an element from the list stored at list2 (since it is the first non empty * list starting from the left). *

* Blocking behavior *

* If none of the specified keys exist or contain non empty lists, BLPOP blocks until some other * client performs a LPUSH or an RPUSH operation against one of the lists. *

* Once new data is present on one of the lists, the client finally returns with the name of the * key unblocking it and the popped value. *

* When blocking, if a non-zero timeout is specified, the client will unblock returning a nil * special value if the specified amount of seconds passed without a push operation against at * least one of the specified keys. *

* The timeout argument is interpreted as an integer value. A timeout of zero means instead to * block forever. *

* Multiple clients blocking for the same keys *

* Multiple clients can block for the same key. They are put into a queue, so the first to be * served will be the one that started to wait earlier, in a first-blpopping first-served fashion. *

* blocking POP inside a MULTI/EXEC transaction *

* BLPOP and BRPOP can be used with pipelining (sending multiple commands and reading the replies * in batch), but it does not make sense to use BLPOP or BRPOP inside a MULTI/EXEC block (a Redis * transaction). *

* The behavior of BLPOP inside MULTI/EXEC when the list is empty is to return a multi-bulk nil * reply, exactly what happens when the timeout is reached. If you like science fiction, think at * it like if inside MULTI/EXEC the time will flow at infinite speed :) *

* Time complexity: O(1) * @param timeout * @param keys * @return BLPOP returns a two-elements array via a multi bulk reply in order to return both the * unblocking key and the popped value. *

* When a non-zero timeout is specified, and the BLPOP operation timed out, the return * value is a nil multi bulk reply. Most client values will return false or nil * accordingly to the programming language used. */ public List brpop(final int timeout, final String... keys) { init(); if(this.jedis != null) return jedis.brpop( timeout, keys) ; else return jc.brpop( timeout, keys) ; } public Long zcount(final String key, final double min, final double max) { init(); if(this.jedis != null) return jedis.zcount( key, min, max); else return jc.zcount( key, min, max); } public Long zcount(final String key, final String min, final String max) { init(); if(this.jedis != null) return jedis.zcount( key, min, max); else return jc.zcount( key, min, max); } // /** // * Return the all the elements in the sorted set at key with a score between min and max // * (including elements with score equal to min or max). // *

// * The elements having the same score are returned sorted lexicographically as ASCII strings (this // * follows from a property of Redis sorted sets and does not involve further computation). // *

// * Using the optional {@link #zrangeByScore(String, double, double, int, int) LIMIT} it's possible // * to get only a range of the matching elements in an SQL-alike way. Note that if offset is large // * the commands needs to traverse the list for offset elements and this adds up to the O(M) // * figure. // *

// * The {@link #zcount(String, double, double) ZCOUNT} command is similar to // * {@link #zrangeByScore(String, double, double) ZRANGEBYSCORE} but instead of returning the // * actual elements in the specified interval, it just returns the number of matching elements. // *

// * Exclusive intervals and infinity // *

// * min and max can be -inf and +inf, so that you are not required to know what's the greatest or // * smallest element in order to take, for instance, elements "up to a given value". // *

// * Also while the interval is for default closed (inclusive) it's possible to specify open // * intervals prefixing the score with a "(" character, so for instance: // *

// * {@code ZRANGEBYSCORE zset (1.3 5} // *

// * Will return all the values with score > 1.3 and <= 5, while for instance: // *

// * {@code ZRANGEBYSCORE zset (5 (10} // *

// * Will return all the values with score > 5 and < 10 (5 and 10 excluded). // *

// * Time complexity: // *

// * O(log(N))+O(M) with N being the number of elements in the sorted set and M the number of // * elements returned by the command, so if M is constant (for instance you always ask for the // * first ten elements with LIMIT) you can consider it O(log(N)) // * @see #zrangeByScore(String, double, double) // * @see #zrangeByScore(String, double, double, int, int) // * @see #zrangeByScoreWithScores(String, double, double) // * @see #zrangeByScoreWithScores(String, String, String) // * @see #zrangeByScoreWithScores(String, double, double, int, int) // * @see #zcount(String, double, double) // * @param key // * @param min a double or Double.MIN_VALUE for "-inf" // * @param max a double or Double.MAX_VALUE for "+inf" // * @return Multi bulk reply specifically a list of elements in the specified score range. // */ // // public Set zrangeByScore(final String key, final double min, final double max) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // // @Override // public Set zrangeByScore(final String key, final String min, final String max) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // // /** // * Return the all the elements in the sorted set at key with a score between min and max // * (including elements with score equal to min or max). // *

// * The elements having the same score are returned sorted lexicographically as ASCII strings (this // * follows from a property of Redis sorted sets and does not involve further computation). // *

// * Using the optional {@link #zrangeByScore(String, double, double, int, int) LIMIT} it's possible // * to get only a range of the matching elements in an SQL-alike way. Note that if offset is large // * the commands needs to traverse the list for offset elements and this adds up to the O(M) // * figure. // *

// * The {@link #zcount(String, double, double) ZCOUNT} command is similar to // * {@link #zrangeByScore(String, double, double) ZRANGEBYSCORE} but instead of returning the // * actual elements in the specified interval, it just returns the number of matching elements. // *

// * Exclusive intervals and infinity // *

// * min and max can be -inf and +inf, so that you are not required to know what's the greatest or // * smallest element in order to take, for instance, elements "up to a given value". // *

// * Also while the interval is for default closed (inclusive) it's possible to specify open // * intervals prefixing the score with a "(" character, so for instance: // *

// * {@code ZRANGEBYSCORE zset (1.3 5} // *

// * Will return all the values with score > 1.3 and <= 5, while for instance: // *

// * {@code ZRANGEBYSCORE zset (5 (10} // *

// * Will return all the values with score > 5 and < 10 (5 and 10 excluded). // *

// * Time complexity: // *

// * O(log(N))+O(M) with N being the number of elements in the sorted set and M the number of // * elements returned by the command, so if M is constant (for instance you always ask for the // * first ten elements with LIMIT) you can consider it O(log(N)) // * @see #zrangeByScore(String, double, double) // * @see #zrangeByScore(String, double, double, int, int) // * @see #zrangeByScoreWithScores(String, double, double) // * @see #zrangeByScoreWithScores(String, double, double, int, int) // * @see #zcount(String, double, double) // * @param key // * @param min // * @param max // * @return Multi bulk reply specifically a list of elements in the specified score range. // */ // @Override // public Set zrangeByScore(final String key, final double min, final double max, // final int offset, final int count) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // // @Override // public Set zrangeByScore(final String key, final String min, final String max, // final int offset, final int count) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // // /** // * Return the all the elements in the sorted set at key with a score between min and max // * (including elements with score equal to min or max). // *

// * The elements having the same score are returned sorted lexicographically as ASCII strings (this // * follows from a property of Redis sorted sets and does not involve further computation). // *

// * Using the optional {@link #zrangeByScore(String, double, double, int, int) LIMIT} it's possible // * to get only a range of the matching elements in an SQL-alike way. Note that if offset is large // * the commands needs to traverse the list for offset elements and this adds up to the O(M) // * figure. // *

// * The {@link #zcount(String, double, double) ZCOUNT} command is similar to // * {@link #zrangeByScore(String, double, double) ZRANGEBYSCORE} but instead of returning the // * actual elements in the specified interval, it just returns the number of matching elements. // *

// * Exclusive intervals and infinity // *

// * min and max can be -inf and +inf, so that you are not required to know what's the greatest or // * smallest element in order to take, for instance, elements "up to a given value". // *

// * Also while the interval is for default closed (inclusive) it's possible to specify open // * intervals prefixing the score with a "(" character, so for instance: // *

// * {@code ZRANGEBYSCORE zset (1.3 5} // *

// * Will return all the values with score > 1.3 and <= 5, while for instance: // *

// * {@code ZRANGEBYSCORE zset (5 (10} // *

// * Will return all the values with score > 5 and < 10 (5 and 10 excluded). // *

// * Time complexity: // *

// * O(log(N))+O(M) with N being the number of elements in the sorted set and M the number of // * elements returned by the command, so if M is constant (for instance you always ask for the // * first ten elements with LIMIT) you can consider it O(log(N)) // * @see #zrangeByScore(String, double, double) // * @see #zrangeByScore(String, double, double, int, int) // * @see #zrangeByScoreWithScores(String, double, double) // * @see #zrangeByScoreWithScores(String, double, double, int, int) // * @see #zcount(String, double, double) // * @param key // * @param min // * @param max // * @return Multi bulk reply specifically a list of elements in the specified score range. // */ // @Override // public Set zrangeByScoreWithScores(final String key, final double min, final double max) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // // @Override // public Set zrangeByScoreWithScores(final String key, final String min, final String max) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // // /** // * Return the all the elements in the sorted set at key with a score between min and max // * (including elements with score equal to min or max). // *

// * The elements having the same score are returned sorted lexicographically as ASCII strings (this // * follows from a property of Redis sorted sets and does not involve further computation). // *

// * Using the optional {@link #zrangeByScore(String, double, double, int, int) LIMIT} it's possible // * to get only a range of the matching elements in an SQL-alike way. Note that if offset is large // * the commands needs to traverse the list for offset elements and this adds up to the O(M) // * figure. // *

// * The {@link #zcount(String, double, double) ZCOUNT} command is similar to // * {@link #zrangeByScore(String, double, double) ZRANGEBYSCORE} but instead of returning the // * actual elements in the specified interval, it just returns the number of matching elements. // *

// * Exclusive intervals and infinity // *

// * min and max can be -inf and +inf, so that you are not required to know what's the greatest or // * smallest element in order to take, for instance, elements "up to a given value". // *

// * Also while the interval is for default closed (inclusive) it's possible to specify open // * intervals prefixing the score with a "(" character, so for instance: // *

// * {@code ZRANGEBYSCORE zset (1.3 5} // *

// * Will return all the values with score > 1.3 and <= 5, while for instance: // *

// * {@code ZRANGEBYSCORE zset (5 (10} // *

// * Will return all the values with score > 5 and < 10 (5 and 10 excluded). // *

// * Time complexity: // *

// * O(log(N))+O(M) with N being the number of elements in the sorted set and M the number of // * elements returned by the command, so if M is constant (for instance you always ask for the // * first ten elements with LIMIT) you can consider it O(log(N)) // * @see #zrangeByScore(String, double, double) // * @see #zrangeByScore(String, double, double, int, int) // * @see #zrangeByScoreWithScores(String, double, double) // * @see #zrangeByScoreWithScores(String, double, double, int, int) // * @see #zcount(String, double, double) // * @param key // * @param min // * @param max // * @return Multi bulk reply specifically a list of elements in the specified score range. // */ // @Override // public Set zrangeByScoreWithScores(final String key, final double min, final double max, // final int offset, final int count) { // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // // @Override // public Set zrangeByScoreWithScores(final String key, final String min, final String max, // final int offset, final int count) { // checkIsInMultiOrPipeline(); // if(shardedJedis != null) // return shardedJedis.set(key, value,params); // else if(this.jedis != null) // return jedis.set(key, value,params); // else // return jc.set(key, value,params); // } // // // @Override // public Set zrevrangeByScore(final String key, final double max, final double min) { // checkIsInMultiOrPipeline(); // client.zrevrangeByScore(key, max, min); // final List members = client.getMultiBulkReply(); // if (members == null) { // return null; // } // return SetFromList.of(members); // } // // @Override // public Set zrevrangeByScore(final String key, final String max, final String min) { // checkIsInMultiOrPipeline(); // client.zrevrangeByScore(key, max, min); // final List members = client.getMultiBulkReply(); // if (members == null) { // return null; // } // return SetFromList.of(members); // } // // @Override // public Set zrevrangeByScore(final String key, final double max, final double min, // final int offset, final int count) { // checkIsInMultiOrPipeline(); // client.zrevrangeByScore(key, max, min, offset, count); // final List members = client.getMultiBulkReply(); // if (members == null) { // return null; // } // return SetFromList.of(members); // } // // @Override // public Set zrevrangeByScoreWithScores(final String key, final double max, final double min) { // checkIsInMultiOrPipeline(); // client.zrevrangeByScoreWithScores(key, max, min); // return getTupledSet(); // } // // @Override // public Set zrevrangeByScoreWithScores(final String key, final double max, // final double min, final int offset, final int count) { // checkIsInMultiOrPipeline(); // client.zrevrangeByScoreWithScores(key, max, min, offset, count); // return getTupledSet(); // } // // @Override // public Set zrevrangeByScoreWithScores(final String key, final String max, // final String min, final int offset, final int count) { // checkIsInMultiOrPipeline(); // client.zrevrangeByScoreWithScores(key, max, min, offset, count); // return getTupledSet(); // } // // @Override // public Set zrevrangeByScore(final String key, final String max, final String min, // final int offset, final int count) { // checkIsInMultiOrPipeline(); // client.zrevrangeByScore(key, max, min, offset, count); // final List members = client.getMultiBulkReply(); // if (members == null) { // return null; // } // return SetFromList.of(members); // } // // @Override // public Set zrevrangeByScoreWithScores(final String key, final String max, final String min) { // checkIsInMultiOrPipeline(); // client.zrevrangeByScoreWithScores(key, max, min); // return getTupledSet(); // } // // /** // * Remove all elements in the sorted set at key with rank between start and end. Start and end are // * 0-based with rank 0 being the element with the lowest score. Both start and end can be negative // * numbers, where they indicate offsets starting at the element with the highest rank. For // * example: -1 is the element with the highest score, -2 the element with the second highest score // * and so forth. // *

// * Time complexity: O(log(N))+O(M) with N being the number of elements in the sorted set // * and M the number of elements removed by the operation // */ // @Override // public Long zremrangeByRank(final String key, final long start, final long end) { // checkIsInMultiOrPipeline(); // client.zremrangeByRank(key, start, end); // return client.getIntegerReply(); // } // // /** // * Remove all the elements in the sorted set at key with a score between min and max (including // * elements with score equal to min or max). // *

// * Time complexity: // *

// * O(log(N))+O(M) with N being the number of elements in the sorted set and M the number of // * elements removed by the operation // * @param key // * @param start // * @param end // * @return Integer reply, specifically the number of elements removed. // */ // @Override // public Long zremrangeByScore(final String key, final double start, final double end) { // checkIsInMultiOrPipeline(); // client.zremrangeByScore(key, start, end); // return client.getIntegerReply(); // } // // @Override // public Long zremrangeByScore(final String key, final String start, final String end) { // checkIsInMultiOrPipeline(); // client.zremrangeByScore(key, start, end); // return client.getIntegerReply(); // } // // /** // * Creates a union or intersection of N sorted sets given by keys k1 through kN, and stores it at // * dstkey. It is mandatory to provide the number of input keys N, before passing the input keys // * and the other (optional) arguments. // *

// * As the terms imply, the {@link #zinterstore(String, String...) ZINTERSTORE} command requires an // * element to be present in each of the given inputs to be inserted in the result. The // * {@link #zunionstore(String, String...) ZUNIONSTORE} command inserts all elements across all // * inputs. // *

// * Using the WEIGHTS option, it is possible to add weight to each input sorted set. This means // * that the score of each element in the sorted set is first multiplied by this weight before // * being passed to the aggregation. When this option is not given, all weights default to 1. // *

// * With the AGGREGATE option, it's possible to specify how the results of the union or // * intersection are aggregated. This option defaults to SUM, where the score of an element is // * summed across the inputs where it exists. When this option is set to be either MIN or MAX, the // * resulting set will contain the minimum or maximum score of an element across the inputs where // * it exists. // *

// * Time complexity: O(N) + O(M log(M)) with N being the sum of the sizes of the input // * sorted sets, and M being the number of elements in the resulting sorted set // * @see #zunionstore(String, String...) // * @see #zunionstore(String, ZParams, String...) // * @see #zinterstore(String, String...) // * @see #zinterstore(String, ZParams, String...) // * @param dstkey // * @param sets // * @return Integer reply, specifically the number of elements in the sorted set at dstkey // */ // @Override // public Long zunionstore(final String dstkey, final String... sets) { // checkIsInMultiOrPipeline(); // client.zunionstore(dstkey, sets); // return client.getIntegerReply(); // } // // /** // * Creates a union or intersection of N sorted sets given by keys k1 through kN, and stores it at // * dstkey. It is mandatory to provide the number of input keys N, before passing the input keys // * and the other (optional) arguments. // *

// * As the terms imply, the {@link #zinterstore(String, String...) ZINTERSTORE} command requires an // * element to be present in each of the given inputs to be inserted in the result. The // * {@link #zunionstore(String, String...) ZUNIONSTORE} command inserts all elements across all // * inputs. // *

// * Using the WEIGHTS option, it is possible to add weight to each input sorted set. This means // * that the score of each element in the sorted set is first multiplied by this weight before // * being passed to the aggregation. When this option is not given, all weights default to 1. // *

// * With the AGGREGATE option, it's possible to specify how the results of the union or // * intersection are aggregated. This option defaults to SUM, where the score of an element is // * summed across the inputs where it exists. When this option is set to be either MIN or MAX, the // * resulting set will contain the minimum or maximum score of an element across the inputs where // * it exists. // *

// * Time complexity: O(N) + O(M log(M)) with N being the sum of the sizes of the input // * sorted sets, and M being the number of elements in the resulting sorted set // * @see #zunionstore(String, String...) // * @see #zunionstore(String, ZParams, String...) // * @see #zinterstore(String, String...) // * @see #zinterstore(String, ZParams, String...) // * @param dstkey // * @param sets // * @param params // * @return Integer reply, specifically the number of elements in the sorted set at dstkey // */ // @Override // public Long zunionstore(final String dstkey, final ZParams params, final String... sets) { // checkIsInMultiOrPipeline(); // client.zunionstore(dstkey, params, sets); // return client.getIntegerReply(); // } // // /** // * Creates a union or intersection of N sorted sets given by keys k1 through kN, and stores it at // * dstkey. It is mandatory to provide the number of input keys N, before passing the input keys // * and the other (optional) arguments. // *

// * As the terms imply, the {@link #zinterstore(String, String...) ZINTERSTORE} command requires an // * element to be present in each of the given inputs to be inserted in the result. The // * {@link #zunionstore(String, String...) ZUNIONSTORE} command inserts all elements across all // * inputs. // *

// * Using the WEIGHTS option, it is possible to add weight to each input sorted set. This means // * that the score of each element in the sorted set is first multiplied by this weight before // * being passed to the aggregation. When this option is not given, all weights default to 1. // *

// * With the AGGREGATE option, it's possible to specify how the results of the union or // * intersection are aggregated. This option defaults to SUM, where the score of an element is // * summed across the inputs where it exists. When this option is set to be either MIN or MAX, the // * resulting set will contain the minimum or maximum score of an element across the inputs where // * it exists. // *

// * Time complexity: O(N) + O(M log(M)) with N being the sum of the sizes of the input // * sorted sets, and M being the number of elements in the resulting sorted set // * @see #zunionstore(String, String...) // * @see #zunionstore(String, ZParams, String...) // * @see #zinterstore(String, String...) // * @see #zinterstore(String, ZParams, String...) // * @param dstkey // * @param sets // * @return Integer reply, specifically the number of elements in the sorted set at dstkey // */ // @Override // public Long zinterstore(final String dstkey, final String... sets) { // checkIsInMultiOrPipeline(); // client.zinterstore(dstkey, sets); // return client.getIntegerReply(); // } // // /** // * Creates a union or intersection of N sorted sets given by keys k1 through kN, and stores it at // * dstkey. It is mandatory to provide the number of input keys N, before passing the input keys // * and the other (optional) arguments. // *

// * As the terms imply, the {@link #zinterstore(String, String...) ZINTERSTORE} command requires an // * element to be present in each of the given inputs to be inserted in the result. The // * {@link #zunionstore(String, String...) ZUNIONSTORE} command inserts all elements across all // * inputs. // *

// * Using the WEIGHTS option, it is possible to add weight to each input sorted set. This means // * that the score of each element in the sorted set is first multiplied by this weight before // * being passed to the aggregation. When this option is not given, all weights default to 1. // *

// * With the AGGREGATE option, it's possible to specify how the results of the union or // * intersection are aggregated. This option defaults to SUM, where the score of an element is // * summed across the inputs where it exists. When this option is set to be either MIN or MAX, the // * resulting set will contain the minimum or maximum score of an element across the inputs where // * it exists. // *

// * Time complexity: O(N) + O(M log(M)) with N being the sum of the sizes of the input // * sorted sets, and M being the number of elements in the resulting sorted set // * @see #zunionstore(String, String...) // * @see #zunionstore(String, ZParams, String...) // * @see #zinterstore(String, String...) // * @see #zinterstore(String, ZParams, String...) // * @param dstkey // * @param sets // * @param params // * @return Integer reply, specifically the number of elements in the sorted set at dstkey // */ // @Override // public Long zinterstore(final String dstkey, final ZParams params, final String... sets) { // checkIsInMultiOrPipeline(); // client.zinterstore(dstkey, params, sets); // return client.getIntegerReply(); // } // // @Override // public Long zlexcount(final String key, final String min, final String max) { // checkIsInMultiOrPipeline(); // client.zlexcount(key, min, max); // return client.getIntegerReply(); // } // // @Override // public Set zrangeByLex(final String key, final String min, final String max) { // checkIsInMultiOrPipeline(); // client.zrangeByLex(key, min, max); // final List members = client.getMultiBulkReply(); // if (members == null) { // return null; // } // return SetFromList.of(members); // } // // @Override // public Set zrangeByLex(final String key, final String min, final String max, // final int offset, final int count) { // checkIsInMultiOrPipeline(); // client.zrangeByLex(key, min, max, offset, count); // final List members = client.getMultiBulkReply(); // if (members == null) { // return null; // } // return SetFromList.of(members); // } // // @Override // public Set zrevrangeByLex(String key, String max, String min) { // checkIsInMultiOrPipeline(); // client.zrevrangeByLex(key, max, min); // final List members = client.getMultiBulkReply(); // if (members == null) { // return null; // } // return SetFromList.of(members); // } // // @Override // public Set zrevrangeByLex(String key, String max, String min, int offset, int count) { // checkIsInMultiOrPipeline(); // client.zrevrangeByLex(key, max, min, offset, count); // final List members = client.getMultiBulkReply(); // if (members == null) { // return null; // } // return SetFromList.of(members); // } // // @Override // public Long zremrangeByLex(final String key, final String min, final String max) { // checkIsInMultiOrPipeline(); // client.zremrangeByLex(key, min, max); // return client.getIntegerReply(); // } // public Long strlen(final String key) { init(); if(this.jedis != null) return jedis.strlen( key) ; else return jc.strlen( key) ; } public Long lpushx(final String key, final String... string) { init(); if(this.jedis != null) return jedis.lpushx( key, string) ; else return jc.lpushx( key, string) ; } /** * Undo a {@link #expire(String, int) expire} at turning the expire key into a normal key. *

* Time complexity: O(1) * @param key * @return Integer reply, specifically: 1: the key is now persist. 0: the key is not persist (only * happens when key not set). */ public Long persist(final String key) { init(); if(this.jedis != null) return jedis.persist( key) ; else return jc.persist( key) ; } public Long rpushx(final String key, final String... string) { init(); if(this.jedis != null) return jedis.rpushx( key, string) ; else return jc.rpushx( key, string) ; } public String echo(final String string) { init(); if(this.jedis != null) return jedis.echo( string) ; else { throw new IllegalArgumentException("jedis cluster not support echo command."); // return jc.echo(string); } } public Long linsert(final String key, final ListPosition where, final String pivot, final String value) { init(); if(this.jedis != null) return jedis.linsert( key, where, pivot, value) ; else return jc.linsert( key, where, pivot, value) ; } // /** // * Pop a value from a list, push it to another list and return it; or block until one is available // * @param source // * @param destination // * @param timeout // * @return the element // */ // @Override // public String brpoplpush(String source, String destination, int timeout) { // client.brpoplpush(source, destination, timeout); // client.setTimeoutInfinite(); // try { // return client.getBulkReply(); // } finally { // client.rollbackTimeout(); // } // } // // /** // * Sets or clears the bit at offset in the string value stored at key // * @param key // * @param offset // * @param value // * @return // */ // @Override // public Boolean setbit(String key, long offset, boolean value) { // client.setbit(key, offset, value); // return client.getIntegerReply() == 1; // } // // @Override // public Boolean setbit(String key, long offset, String value) { // client.setbit(key, offset, value); // return client.getIntegerReply() == 1; // } // // /** // * Returns the bit value at offset in the string value stored at key // * @param key // * @param offset // * @return // */ // @Override // public Boolean getbit(String key, long offset) { // client.getbit(key, offset); // return client.getIntegerReply() == 1; // } // // @Override // public Long setrange(String key, long offset, String value) { // client.setrange(key, offset, value); // return client.getIntegerReply(); // } // // @Override // public String getrange(String key, long startOffset, long endOffset) { // client.getrange(key, startOffset, endOffset); // return client.getBulkReply(); // } // // @Override // public Long bitpos(final String key, final boolean value) { // return bitpos(key, value, new BitPosParams()); // } // // @Override // public Long bitpos(final String key, final boolean value, final BitPosParams params) { // client.bitpos(key, value, params); // return client.getIntegerReply(); // } /** * Retrieve the configuration of a running Redis server. Not all the configuration parameters are * supported. *

* CONFIG GET returns the current configuration parameters. This sub command only accepts a single * argument, that is glob style pattern. All the configuration parameters matching this parameter * are reported as a list of key-value pairs. *

* Example: * *

	   * $ redis-cli config get '*'
	   * 1. "dbfilename"
	   * 2. "dump.rdb"
	   * 3. "requirepass"
	   * 4. (nil)
	   * 5. "masterauth"
	   * 6. (nil)
	   * 7. "maxmemory"
	   * 8. "0\n"
	   * 9. "appendfsync"
	   * 10. "everysec"
	   * 11. "save"
	   * 12. "3600 1 300 100 60 10000"
	   * 
	   * $ redis-cli config get 'm*'
	   * 1. "masterauth"
	   * 2. (nil)
	   * 3. "maxmemory"
	   * 4. "0\n"
	   * 
* @param pattern * @return Bulk reply. */ public Map configGet(final String pattern) { init(); if(this.jedis != null) return jedis.configGet( pattern) ; else throw new java.lang.UnsupportedOperationException(" Jedis Cluster Unsupport configGet mehtod."); } // /** // * Alter the configuration of a running Redis server. Not all the configuration parameters are // * supported. // *

// * The list of configuration parameters supported by CONFIG SET can be obtained issuing a // * {@link #configGet(String) CONFIG GET *} command. // *

// * The configuration set using CONFIG SET is immediately loaded by the Redis server that will // * start acting as specified starting from the next command. // *

// * Parameters value format // *

// * The value of the configuration parameter is the same as the one of the same parameter in the // * Redis configuration file, with the following exceptions: // *

// *

    // *
  • The save paramter is a list of space-separated integers. Every pair of integers specify the // * time and number of changes limit to trigger a save. For instance the command CONFIG SET save // * "3600 10 60 10000" will configure the server to issue a background saving of the RDB file every // * 3600 seconds if there are at least 10 changes in the dataset, and every 60 seconds if there are // * at least 10000 changes. To completely disable automatic snapshots just set the parameter as an // * empty string. // *
  • All the integer parameters representing memory are returned and accepted only using bytes // * as unit. // *
// * @param parameter // * @param value // * @return Status code reply // */ public Object eval(String script, int keyCount, String... params) { init(); if(this.jedis != null) return jedis.eval( script, keyCount, params) ; else return jc.eval( script, keyCount, params) ; } public void subscribe(final JedisPubSub jedisPubSub, final String... channels) { init(); if(this.jedis != null) jedis.subscribe( jedisPubSub, channels) ; else{ throw new java.lang.UnsupportedOperationException(" Jedis Cluster Unsupport subscribe mehtod."); } // jc.subscribe( jedisPubSub, channels) ; } public Long publish(final String channel, final String message) { init(); if(this.jedis != null) return jedis.publish( channel, message) ; else return jc.publish( channel, message) ; } public void psubscribe(final JedisPubSub jedisPubSub, final String... patterns) { init(); if(this.jedis != null) jedis.psubscribe( jedisPubSub, patterns) ; else{ throw new java.lang.UnsupportedOperationException(" Jedis Cluster Unsupport psubscribe mehtod."); } // jc.psubscribe( jedisPubSub, patterns) ; } // @Override // public Object evalsha(String sha1, List keys, List args) { // return evalsha(sha1, keys.size(), getParams(keys, args)); // } // // @Override // public Object evalsha(String sha1, int keyCount, String... params) { // checkIsInMultiOrPipeline(); // client.evalsha(sha1, keyCount, params); // return getEvalResult(); // } // // @Override // public Boolean scriptExists(String sha1) { // String[] a = new String[1]; // a[0] = sha1; // return scriptExists(a).get(0); // } // // @Override // public List scriptExists(String... sha1) { // client.scriptExists(sha1); // List result = client.getIntegerMultiBulkReply(); // List exists = new ArrayList(); // // for (Long value : result) // exists.add(value == 1); // // return exists; // } // // @Override // public String scriptLoad(String script) { // client.scriptLoad(script); // return client.getBulkReply(); // } // public List slowlogGet() { // if(shardedJedis != null) // { // // throw new java.lang.UnsupportedOperationException(" shared Jedis Unsupport publish mehtod."); // // } // else if(this.jedis != null) // return jedis.slowlogGet() ; // else // return jc.slowlogGet() ; // } // // @Override // public List slowlogGet(long entries) { // client.slowlogGet(entries); // return Slowlog.from(client.getObjectMultiBulkReply()); // } // public Long objectRefcount(String string) { // if(shardedJedis != null) // { // // throw new java.lang.UnsupportedOperationException(" shared Jedis Unsupport publish mehtod."); // // } // else if(this.jedis != null) // return jedis.objectRefcount( string) ; // else // return jc.objectRefcount( string) ; // } // // @Override // public String objectEncoding(String string) { // client.objectEncoding(string); // return client.getBulkReply(); // } // // @Override // public Long objectIdletime(String string) { // client.objectIdletime(string); // return client.getIntegerReply(); // } // // @Override // public Long bitcount(final String key) { // client.bitcount(key); // return client.getIntegerReply(); // } // // @Override // public Long bitcount(final String key, long start, long end) { // client.bitcount(key, start, end); // return client.getIntegerReply(); // } // // @Override // public Long bitop(BitOP op, final String destKey, String... srcKeys) { // client.bitop(op, destKey, srcKeys); // return client.getIntegerReply(); // } /** *
	   * redis 127.0.0.1:26381> sentinel masters
	   * 1)  1) "name"
	   *     2) "mymaster"
	   *     3) "ip"
	   *     4) "127.0.0.1"
	   *     5) "port"
	   *     6) "6379"
	   *     7) "runid"
	   *     8) "93d4d4e6e9c06d0eea36e27f31924ac26576081d"
	   *     9) "flags"
	   *    10) "master"
	   *    11) "pending-commands"
	   *    12) "0"
	   *    13) "last-ok-ping-reply"
	   *    14) "423"
	   *    15) "last-ping-reply"
	   *    16) "423"
	   *    17) "info-refresh"
	   *    18) "6107"
	   *    19) "num-slaves"
	   *    20) "1"
	   *    21) "num-other-sentinels"
	   *    22) "2"
	   *    23) "quorum"
	   *    24) "2"
	   * 
	   * 
* @return */ // @Override // @SuppressWarnings("rawtypes") // public List> sentinelMasters() { // client.sentinel(Protocol.SENTINEL_MASTERS); // final List reply = client.getObjectMultiBulkReply(); // // final List> masters = new ArrayList>(); // for (Object obj : reply) { // masters.add(BuilderFactory.STRING_MAP.build((List) obj)); // } // return masters; // } // // /** // *
//	   * redis 127.0.0.1:26381> sentinel get-master-addr-by-name mymaster
//	   * 1) "127.0.0.1"
//	   * 2) "6379"
//	   * 
// * @param masterName // * @return two elements list of strings : host and port. // */ // @Override // public List sentinelGetMasterAddrByName(String masterName) { // client.sentinel(Protocol.SENTINEL_GET_MASTER_ADDR_BY_NAME, masterName); // final List reply = client.getObjectMultiBulkReply(); // return BuilderFactory.STRING_LIST.build(reply); // } // // /** // *
//	   * redis 127.0.0.1:26381> sentinel reset mymaster
//	   * (integer) 1
//	   * 
// * @param pattern // * @return // */ // @Override // public Long sentinelReset(String pattern) { // client.sentinel(Protocol.SENTINEL_RESET, pattern); // return client.getIntegerReply(); // } // // /** // *
//	   * redis 127.0.0.1:26381> sentinel slaves mymaster
//	   * 1)  1) "name"
//	   *     2) "127.0.0.1:6380"
//	   *     3) "ip"
//	   *     4) "127.0.0.1"
//	   *     5) "port"
//	   *     6) "6380"
//	   *     7) "runid"
//	   *     8) "d7f6c0ca7572df9d2f33713df0dbf8c72da7c039"
//	   *     9) "flags"
//	   *    10) "slave"
//	   *    11) "pending-commands"
//	   *    12) "0"
//	   *    13) "last-ok-ping-reply"
//	   *    14) "47"
//	   *    15) "last-ping-reply"
//	   *    16) "47"
//	   *    17) "info-refresh"
//	   *    18) "657"
//	   *    19) "master-link-down-time"
//	   *    20) "0"
//	   *    21) "master-link-status"
//	   *    22) "ok"
//	   *    23) "master-host"
//	   *    24) "localhost"
//	   *    25) "master-port"
//	   *    26) "6379"
//	   *    27) "slave-priority"
//	   *    28) "100"
//	   * 
// * @param masterName // * @return // */ // @Override // @SuppressWarnings("rawtypes") // public List> sentinelSlaves(String masterName) { // client.sentinel(Protocol.SENTINEL_SLAVES, masterName); // final List reply = client.getObjectMultiBulkReply(); // // final List> slaves = new ArrayList>(); // for (Object obj : reply) { // slaves.add(BuilderFactory.STRING_MAP.build((List) obj)); // } // return slaves; // } // // @Override // public String sentinelFailover(String masterName) { // client.sentinel(Protocol.SENTINEL_FAILOVER, masterName); // return client.getStatusCodeReply(); // } // // @Override // public String sentinelMonitor(String masterName, String ip, int port, int quorum) { // client.sentinel(Protocol.SENTINEL_MONITOR, masterName, ip, String.valueOf(port), // String.valueOf(quorum)); // return client.getStatusCodeReply(); // } // // @Override // public String sentinelRemove(String masterName) { // client.sentinel(Protocol.SENTINEL_REMOVE, masterName); // return client.getStatusCodeReply(); // } // // @Override // public String sentinelSet(String masterName, Map parameterMap) { // int index = 0; // int paramsLength = parameterMap.size() * 2 + 2; // String[] params = new String[paramsLength]; // // params[index++] = Protocol.SENTINEL_SET; // params[index++] = masterName; // for (Entry entry : parameterMap.entrySet()) { // params[index++] = entry.getKey(); // params[index++] = entry.getValue(); // } // // client.sentinel(params); // return client.getStatusCodeReply(); // } // // public byte[] dump(final String key) { // checkIsInMultiOrPipeline(); // client.dump(key); // return client.getBinaryBulkReply(); // } // public String restore(final String key, final int ttl, final byte[] serializedValue) { // if(shardedJedis != null) // return shardedJedis.restore( key, ttl, serializedValue) ; // else if(this.jedis != null) // return jedis.restore( key, ttl, serializedValue) ; // else // return jc.restore( key, ttl, serializedValue) ; // } public Long pexpire(final String key, final long milliseconds) { init(); if(this.jedis != null) return jedis.pexpire( key, milliseconds) ; else return jc.pexpire( key, milliseconds) ; } public Long pexpireAt(final String key, final long millisecondsTimestamp) { init(); if(this.jedis != null) return jedis.pexpireAt( key, millisecondsTimestamp); else return jc.pexpireAt( key, millisecondsTimestamp); } public Long pttl(final String key) { init(); if(this.jedis != null) return jedis.pttl( key); else throw new java.lang.UnsupportedOperationException(" Cluster Jedis Unsupport pttl mehtod."); } /** * PSETEX works exactly like {@link #setex(String, int, String)} with the sole difference that the * expire time is specified in milliseconds instead of seconds. Time complexity: O(1) * @param key * @param milliseconds * @param value * @return Status code reply */ public String psetex(final String key, final long milliseconds, final String value) { init(); if(this.jedis != null) return jedis.psetex( key, milliseconds, value) ; else throw new java.lang.UnsupportedOperationException(" Cluster Jedis Unsupport psetex mehtod."); } // public String clientKill(final String client) { // checkIsInMultiOrPipeline(); // this.client.clientKill(client); // return this.client.getStatusCodeReply(); // } // // public String clientSetname(final String name) { // checkIsInMultiOrPipeline(); // client.clientSetname(name); // return client.getStatusCodeReply(); // } // // public String migrate(final String host, final int port, final String key, // final int destinationDb, final int timeout) { // checkIsInMultiOrPipeline(); // client.migrate(host, port, key, destinationDb, timeout); // return client.getStatusCodeReply(); // } // // @Override // public ScanResult scan(final String cursor) { // return scan(cursor, new ScanParams()); // } // // @Override // public ScanResult scan(final String cursor, final ScanParams params) { // checkIsInMultiOrPipeline(); // client.scan(cursor, params); // List result = client.getObjectMultiBulkReply(); // String newcursor = new String((byte[]) result.get(0)); // List results = new ArrayList(); // List rawResults = (List) result.get(1); // for (byte[] bs : rawResults) { // results.add(SafeEncoder.encode(bs)); // } // return new ScanResult(newcursor, results); // } // // @Override // public ScanResult> hscan(final String key, final String cursor) { // return hscan(key, cursor, new ScanParams()); // } // // @Override // public ScanResult> hscan(final String key, final String cursor, // final ScanParams params) { // checkIsInMultiOrPipeline(); // client.hscan(key, cursor, params); // List result = client.getObjectMultiBulkReply(); // String newcursor = new String((byte[]) result.get(0)); // List> results = new ArrayList>(); // List rawResults = (List) result.get(1); // Iterator iterator = rawResults.iterator(); // while (iterator.hasNext()) { // results.add(new AbstractMap.SimpleEntry(SafeEncoder.encode(iterator.next()), // SafeEncoder.encode(iterator.next()))); // } // return new ScanResult>(newcursor, results); // } // // @Override // public ScanResult sscan(final String key, final String cursor) { // return sscan(key, cursor, new ScanParams()); // } // // @Override // public ScanResult sscan(final String key, final String cursor, final ScanParams params) { // checkIsInMultiOrPipeline(); // client.sscan(key, cursor, params); // List result = client.getObjectMultiBulkReply(); // String newcursor = new String((byte[]) result.get(0)); // List results = new ArrayList(); // List rawResults = (List) result.get(1); // for (byte[] bs : rawResults) { // results.add(SafeEncoder.encode(bs)); // } // return new ScanResult(newcursor, results); // } // // @Override // public ScanResult zscan(final String key, final String cursor) { // return zscan(key, cursor, new ScanParams()); // } // // @Override // public ScanResult zscan(final String key, final String cursor, final ScanParams params) { // checkIsInMultiOrPipeline(); // client.zscan(key, cursor, params); // List result = client.getObjectMultiBulkReply(); // String newcursor = new String((byte[]) result.get(0)); // List results = new ArrayList(); // List rawResults = (List) result.get(1); // Iterator iterator = rawResults.iterator(); // while (iterator.hasNext()) { // results.add(new Tuple(SafeEncoder.encode(iterator.next()), Double.valueOf(SafeEncoder // .encode(iterator.next())))); // } // return new ScanResult(newcursor, results); // } // // @Override // public String clusterNodes() { // checkIsInMultiOrPipeline(); // client.clusterNodes(); // return client.getBulkReply(); // } // public String readonly() { // if(shardedJedis != null) // return shardedJedis.readonly(); // else if(this.jedis != null) // return jedis.readonly(); // else // return jc.readonly(); // } // @Override // public String clusterMeet(final String ip, final int port) { // checkIsInMultiOrPipeline(); // client.clusterMeet(ip, port); // return client.getStatusCodeReply(); // } // // @Override // public String clusterReset(final Reset resetType) { // checkIsInMultiOrPipeline(); // client.clusterReset(resetType); // return client.getStatusCodeReply(); // } // // @Override // public String clusterAddSlots(final int... slots) { // checkIsInMultiOrPipeline(); // client.clusterAddSlots(slots); // return client.getStatusCodeReply(); // } // // @Override // public String clusterDelSlots(final int... slots) { // checkIsInMultiOrPipeline(); // client.clusterDelSlots(slots); // return client.getStatusCodeReply(); // } // // @Override // public String clusterInfo() { // checkIsInMultiOrPipeline(); // client.clusterInfo(); // return client.getStatusCodeReply(); // } // // @Override // public List clusterGetKeysInSlot(final int slot, final int count) { // checkIsInMultiOrPipeline(); // client.clusterGetKeysInSlot(slot, count); // return client.getMultiBulkReply(); // } // // @Override // public String clusterSetSlotNode(final int slot, final String nodeId) { // checkIsInMultiOrPipeline(); // client.clusterSetSlotNode(slot, nodeId); // return client.getStatusCodeReply(); // } // // @Override // public String clusterSetSlotMigrating(final int slot, final String nodeId) { // checkIsInMultiOrPipeline(); // client.clusterSetSlotMigrating(slot, nodeId); // return client.getStatusCodeReply(); // } // // @Override // public String clusterSetSlotImporting(final int slot, final String nodeId) { // checkIsInMultiOrPipeline(); // client.clusterSetSlotImporting(slot, nodeId); // return client.getStatusCodeReply(); // } // // @Override // public String clusterSetSlotStable(final int slot) { // checkIsInMultiOrPipeline(); // client.clusterSetSlotStable(slot); // return client.getStatusCodeReply(); // } // // @Override // public String clusterForget(final String nodeId) { // checkIsInMultiOrPipeline(); // client.clusterForget(nodeId); // return client.getStatusCodeReply(); // } // // @Override // public String clusterFlushSlots() { // checkIsInMultiOrPipeline(); // client.clusterFlushSlots(); // return client.getStatusCodeReply(); // } // // @Override // public Long clusterKeySlot(final String key) { // checkIsInMultiOrPipeline(); // client.clusterKeySlot(key); // return client.getIntegerReply(); // } // // @Override // public Long clusterCountKeysInSlot(final int slot) { // checkIsInMultiOrPipeline(); // client.clusterCountKeysInSlot(slot); // return client.getIntegerReply(); // } // // @Override // public String clusterSaveConfig() { // checkIsInMultiOrPipeline(); // client.clusterSaveConfig(); // return client.getStatusCodeReply(); // } // // @Override // public String clusterReplicate(final String nodeId) { // checkIsInMultiOrPipeline(); // client.clusterReplicate(nodeId); // return client.getStatusCodeReply(); // } // // @Override // public List clusterSlaves(final String nodeId) { // checkIsInMultiOrPipeline(); // client.clusterSlaves(nodeId); // return client.getMultiBulkReply(); // } // // @Override // public String clusterFailover() { // checkIsInMultiOrPipeline(); // client.clusterFailover(); // return client.getStatusCodeReply(); // } // // @Override // public List clusterSlots() { // checkIsInMultiOrPipeline(); // client.clusterSlots(); // return client.getObjectMultiBulkReply(); // } // // public String asking() { // checkIsInMultiOrPipeline(); // client.asking(); // return client.getStatusCodeReply(); // } // // public List pubsubChannels(String pattern) { // checkIsInMultiOrPipeline(); // client.pubsubChannels(pattern); // return client.getMultiBulkReply(); // } // // public Long pubsubNumPat() { // checkIsInMultiOrPipeline(); // client.pubsubNumPat(); // return client.getIntegerReply(); // } // // public Map pubsubNumSub(String... channels) { // checkIsInMultiOrPipeline(); // client.pubsubNumSub(channels); // return BuilderFactory.PUBSUB_NUMSUB_MAP.build(client.getBinaryMultiBulkReply()); // } // // @Override // public void close() { // if (dataSource != null) { // if (client.isBroken()) { // this.dataSource.returnBrokenResource(this); // } else { // this.dataSource.returnResource(this); // } // } else { // client.close(); // } // } // // public void setDataSource(JedisPoolAbstract jedisPool) { // this.dataSource = jedisPool; // } // // @Override // public Long pfadd(final String key, final String... elements) { // checkIsInMultiOrPipeline(); // client.pfadd(key, elements); // return client.getIntegerReply(); // } // // @Override // public long pfcount(final String key) { // checkIsInMultiOrPipeline(); // client.pfcount(key); // return client.getIntegerReply(); // } // // @Override // public long pfcount(String... keys) { // checkIsInMultiOrPipeline(); // client.pfcount(keys); // return client.getIntegerReply(); // } // // @Override // public String pfmerge(final String destkey, final String... sourcekeys) { // checkIsInMultiOrPipeline(); // client.pfmerge(destkey, sourcekeys); // return client.getStatusCodeReply(); // } // // @Override // public List blpop(int timeout, String key) { // return blpop(key, String.valueOf(timeout)); // } // // @Override // public List brpop(int timeout, String key) { // return brpop(key, String.valueOf(timeout)); // } // // @Override // public Long geoadd(String key, double longitude, double latitude, String member) { // checkIsInMultiOrPipeline(); // client.geoadd(key, longitude, latitude, member); // return client.getIntegerReply(); // } // // @Override // public Long geoadd(String key, Map memberCoordinateMap) { // checkIsInMultiOrPipeline(); // client.geoadd(key, memberCoordinateMap); // return client.getIntegerReply(); // } // // @Override // public Double geodist(String key, String member1, String member2) { // checkIsInMultiOrPipeline(); // client.geodist(key, member1, member2); // String dval = client.getBulkReply(); // return (dval != null ? new Double(dval) : null); // } // // @Override // public Double geodist(String key, String member1, String member2, GeoUnit unit) { // checkIsInMultiOrPipeline(); // client.geodist(key, member1, member2, unit); // String dval = client.getBulkReply(); // return (dval != null ? new Double(dval) : null); // } // // @Override // public List geohash(String key, String... members) { // checkIsInMultiOrPipeline(); // client.geohash(key, members); // return client.getMultiBulkReply(); // } // // @Override // public List geopos(String key, String... members) { // checkIsInMultiOrPipeline(); // client.geopos(key, members); // return BuilderFactory.GEO_COORDINATE_LIST.build(client.getObjectMultiBulkReply()); // } // // @Override // public List georadius(String key, double longitude, double latitude, // double radius, GeoUnit unit) { // checkIsInMultiOrPipeline(); // client.georadius(key, longitude, latitude, radius, unit); // return BuilderFactory.GEORADIUS_WITH_PARAMS_RESULT.build(client.getObjectMultiBulkReply()); // } // // @Override // public List georadius(String key, double longitude, double latitude, // double radius, GeoUnit unit, GeoRadiusParam param) { // checkIsInMultiOrPipeline(); // client.georadius(key, longitude, latitude, radius, unit, param); // return BuilderFactory.GEORADIUS_WITH_PARAMS_RESULT.build(client.getObjectMultiBulkReply()); // } // // @Override // public List georadiusByMember(String key, String member, double radius, // GeoUnit unit) { // checkIsInMultiOrPipeline(); // client.georadiusByMember(key, member, radius, unit); // return BuilderFactory.GEORADIUS_WITH_PARAMS_RESULT.build(client.getObjectMultiBulkReply()); // } // // @Override // public List georadiusByMember(String key, String member, double radius, // GeoUnit unit, GeoRadiusParam param) { // checkIsInMultiOrPipeline(); // client.georadiusByMember(key, member, radius, unit, param); // return BuilderFactory.GEORADIUS_WITH_PARAMS_RESULT.build(client.getObjectMultiBulkReply()); // } private Pipeline pipeline; public Pipeline pipelined() { init(); if(pipeline != null) return pipeline; if(this.jedis != null) { pipeline = jedis.pipelined(); return pipeline; } else { throw new java.lang.UnsupportedOperationException(" Cluster Jedis Unsupport pipelined mehtod."); } } private ClusterPipeline clusterPipeline; /** * 集群模式下使用 * @return */ public ClusterPipeline getClusterPipelined() { init(); if(clusterPipeline != null) return clusterPipeline; try { clusterPipeline = new ClusterPipeline(jc.getClusterConnectionProvider()); return clusterPipeline; } catch (Exception e){ throw new DataRedisException("getClusterPipelined failed:",e); } } public static void closePipeline(ClusterPipeline clusterPipeline){ try { if(clusterPipeline != null) { clusterPipeline.close(); } } catch (Exception e){ logger.error("close pipeline failed:",e); } } public static void closePipeline(Pipeline pipeline){ try { if(pipeline != null) pipeline.close(); } catch (Exception e){ logger.error("close pipeline failed:",e); } } public Pipeline pipelined(int db) { init(); if(this.jedis != null) { jedis.select(db); return jedis.pipelined(); } else { throw new java.lang.UnsupportedOperationException(" Cluster Jedis Unsupport pipelined mehtod."); } } public void select(int position){ init(); if(this.jedis != null) jedis.select(position); else { throw new java.lang.UnsupportedOperationException(" Cluster Jedis Unsupport pipelined mehtod."); } } }