redis 6.jedis常用操作 手机6位验证码
文章目录
-
- 1. Jedis所需要的maven依赖包
- 2. 连接Redis注意事项
-
- 2.1 开放端口
- 2.2 redis.conf配置
- 3. 完成一个手机验证码功能
-
- 3.1 发送6位验证码的3种方法
- 3.2 手机验证码功能
- 4. Jedis常用操作
1. Jedis所需要的maven依赖包
<dependency>
<groupId>redis.clientsgroupId>
<artifactId>jedisartifactId>
<version>3.2.0version>
dependency>
2. 连接Redis注意事项
2.1 开放端口
查看防火墙状态，active防火墙启用中
systemctl status firewalld
查看配置的端口是否开放：
firewall-cmd --query-port=6379/tcp
添加指定需要开放的端口：
firewall-cmd --add-port=6379/tcp --permanent
重载入添加的端口：
firewall-cmd --reload
2.2 redis.conf配置
redis.conf中注释掉bind 127.0.0.1 ,关闭保护模式 protected-mode no ，重启redis服务
3. 完成一个手机验证码功能
要求：
1、输入手机号，点击发送后随机生成6位数字码，2分钟有效
2、输入验证码，点击验证，返回成功或失败
3、每个手机号每天只能输入3次
3.1 发送6位验证码的3种方法
for循环随机6次，每次确定一个位置数字
Random random = new Random();
String code = "";
for (int i = 0; i < 6; i++) {
code = code + random.nextInt(10);
}
[1,10) 乘以100000
int code = (int) ((Math.random() * 9 + 1) * 100000);
随机999999以下的数字，不满足的处理掉
int flag = new Random().nextInt(999999);
if (flag < 100000)
{
flag += 100000;
}
3.2 手机验证码功能
public class MyJedis {
public static void main(String[] args) {
MyJedis myJedis = new MyJedis();
myJedis.sendCode("18328509999");
System.out.println("输入密码");
Scanner input=new Scanner(System.in);
String code = input.next();
boolean login = myJedis.login("18328509999", code);
System.out.println(login);
}
public boolean login(String phone, String code) {
Jedis jedis = new Jedis("192.168.1.22", 6379);
jedis.auth("123456");
String countKey = phone + "count";
String codeKey = phone + "code";
String redisCode = jedis.get(codeKey);
if (code.equals(redisCode)) {
jedis.del(countKey);
jedis.del(codeKey);
return true;
} else {
return false;
}
}
public void sendCode(String phone) {
Jedis jedis = new Jedis("192.168.1.22", 6379);
jedis.auth("123456");
String countKey = phone + "count";
String codeKey = phone + "code";
String count = jedis.get(countKey);
if (count == null) {
jedis.setex(countKey, 24 * 60 * 60, "1");
} else if (Integer.parseInt(count) < 3) {
jedis.incrBy(countKey, 1);
} else {
System.out.println("不能再发送");
jedis.close();
return;
}
String myCode = getCode();
System.out.println(myCode);
jedis.setex(codeKey, 2 * 60, myCode);
jedis.close();
}
public String getCode() {
Random random = new Random();
String code = "";
for (int i = 0; i < 6; i++) {
code = code + random.nextInt(10);
}
return code;
}
}
4. Jedis常用操作
/**
* Works same as ping() but returns argument message instead of PONG.
* @param message
* @return message
*/
public String ping(final String message) {
checkIsInMultiOrPipeline();
client.ping(message);
return client.getBulkReply();
}
/**
* 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
*/
@Override
public String set(final String key, final String value) {
checkIsInMultiOrPipeline();
client.set(key, value);
return client.getStatusCodeReply();
}
/**
* 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
*/
@Override
public String set(final String key, final String value, final SetParams params) {
checkIsInMultiOrPipeline();
client.set(key, value, params);
return client.getStatusCodeReply();
}
/**
* 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
*/
@Override
public String get(final String key) {
checkIsInMultiOrPipeline();
client.get(key);
return client.getBulkReply();
}
/**
* Test if the specified keys exist. The command returns the number of keys exist.
* Time complexity: O(N)
* @param keys
* @return Integer reply, specifically: an integer greater than 0 if one or more keys exist,
* 0 if none of the specified keys exist.
*/
@Override
public Long exists(final String... keys) {
checkIsInMultiOrPipeline();
client.exists(keys);
return client.getIntegerReply();
}
/**
* Test if the specified key exists. The command returns true if the key exists, otherwise false is
* returned. Note that even keys set with an empty string as value will return true. Time
* complexity: O(1)
* @param key
* @return Boolean reply, true if the key exists, otherwise false
*/
@Override
public Boolean exists(final String key) {
checkIsInMultiOrPipeline();
client.exists(key);
return client.getIntegerReply() == 1;
}
/**
* 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
*/
@Override
public Long del(final String... keys) {
checkIsInMultiOrPipeline();
client.del(keys);
return client.getIntegerReply();
}
@Override
public Long del(final String key) {
checkIsInMultiOrPipeline();
client.del(key);
return client.getIntegerReply();
}
/**
* This command is very similar to DEL: it removes the specified keys. Just like DEL a key is
* ignored if it does not exist. However the command performs the actual memory reclaiming in a
* different thread, so it is not blocking, while DEL is. This is where the command name comes
* from: the command just unlinks the keys from the keyspace. The actual removal will happen later
* asynchronously.
*
* Time complexity: O(1) for each key removed regardless of its size. Then the command does O(N)
* work in a different thread in order to reclaim memory, where N is the number of allocations the
* deleted objects where composed of.
* @param keys
* @return Integer reply: The number of keys that were unlinked
*/
@Override
public Long unlink(final String... keys) {
checkIsInMultiOrPipeline();
client.unlink(keys);
return client.getIntegerReply();
}
@Override
public Long unlink(final String key) {
checkIsInMultiOrPipeline();
client.unlink(key);
return client.getIntegerReply();
}
/**
* 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
*/
@Override
public String type(final String key) {
checkIsInMultiOrPipeline();
client.type(key);
return client.getStatusCodeReply();
}
@Override
public Set<String> keys(final String pattern) {
checkIsInMultiOrPipeline();
client.keys(pattern);
return BuilderFactory.STRING_SET.build(client.getBinaryMultiBulkReply());
}
/**
* 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
*/
@Override
public String randomKey() {
checkIsInMultiOrPipeline();
client.randomKey();
return client.getBulkReply();
}
/**
* 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) {
checkIsInMultiOrPipeline();
client.rename(oldkey, newkey);
return client.getStatusCodeReply();
}
/**
* 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) {
checkIsInMultiOrPipeline();
client.renamenx(oldkey, newkey);
return client.getIntegerReply();
}
/**
* 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.
*
* Volatile 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.
*/
@Override
public Long expire(final String key, final int seconds) {
checkIsInMultiOrPipeline();
client.expire(key, seconds);
return client.getIntegerReply();
}
/**
* EXPIREAT works exactly 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 specifying 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.
*/
@Override
public Long expireAt(final String key, final long unixTime) {
checkIsInMultiOrPipeline();
client.expireAt(key, unixTime);
return client.getIntegerReply();
}
/**
* 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.
*/
@Override
public Long ttl(final String key) {
checkIsInMultiOrPipeline();
client.ttl(key);
return client.getIntegerReply();
}
/**
* Alters the last access time of a key(s). A key is ignored if it does not exist.
* Time complexity: O(N) where N is the number of keys that will be touched.
* @param keys
* @return Integer reply: The number of keys that were touched.
*/
@Override
public Long touch(final String... keys) {
checkIsInMultiOrPipeline();
client.touch(keys);
return client.getIntegerReply();
}
@Override
public Long touch(final String key) {
checkIsInMultiOrPipeline();
client.touch(key);
return client.getIntegerReply();
}
/**
* Move the specified key from the currently selected DB to the specified destination DB. Note
* that this command returns 1 only if the key was successfully moved, and 0 if the target key was
* already there or if the source key was not found at all, so it is possible to use MOVE as a
* locking primitive.
* @param key
* @param dbIndex
* @return Integer reply, specifically: 1 if the key was moved 0 if the key was not moved because
* already present on the target DB or was not found in the current DB.
*/
@Override
public Long move(final String key, final int dbIndex) {
checkIsInMultiOrPipeline();
client.move(key, dbIndex);
return client.getIntegerReply();
}
/**
* 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
*/
@Override
public String getSet(final String key, final String value) {
checkIsInMultiOrPipeline();
client.getSet(key, value);
return client.getBulkReply();
}
/**
* Get the values of all the specified keys. If one or more keys don't 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
*/
@Override
public List<String> mget(final String... keys) {
checkIsInMultiOrPipeline();
client.mget(keys);
return client.getMultiBulkReply();
}
/**
* 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
*/
@Override
public Long setnx(final String key, final String value) {
checkIsInMultiOrPipeline();
client.setnx(key, value);
return client.getIntegerReply();
}
/**
* 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
*/
@Override
public String setex(final String key, final int seconds, final String value) {
checkIsInMultiOrPipeline();
client.setex(key, seconds, value);
return client.getStatusCodeReply();
}
/**
* 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
*/
@Override
public String mset(final String... keysvalues) {
checkIsInMultiOrPipeline();
client.mset(keysvalues);
return client.getStatusCodeReply();
}
/**
* 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)
*/
@Override
public Long msetnx(final String... keysvalues) {
checkIsInMultiOrPipeline();
client.msetnx(keysvalues);
return client.getIntegerReply();
}
/**
* 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 decrement
* @return Integer reply, this commands will reply with the new value of key after the increment.
*/
@Override
public Long decrBy(final String key, final long decrement) {
checkIsInMultiOrPipeline();
client.decrBy(key, decrement);
return client.getIntegerReply();
}
/**
* 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.
*/
@Override
public Long decr(final String key) {
checkIsInMultiOrPipeline();
client.decr(key);
return client.getIntegerReply();
}
/**
* 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 increment
* @return Integer reply, this commands will reply with the new value of key after the increment.
*/
@Override
public Long incrBy(final String key, final long increment) {
checkIsInMultiOrPipeline();
client.incrBy(key, increment);
return client.getIntegerReply();
}
/**
* 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 increment
* @return Double reply, this commands will reply with the new value of key after the increment.
*/
@Override
public Double incrByFloat(final String key, final double increment) {
checkIsInMultiOrPipeline();
client.incrByFloat(key, increment);
String dval = client.getBulkReply();
return (dval != null ? new Double(dval) : null);
}
/**
* 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.
*/
@Override
public Long incr(final String key) {
checkIsInMultiOrPipeline();
client.incr(key);
return client.getIntegerReply();
}
/**
* 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.
*/
@Override
public Long append(final String key, final String value) {
checkIsInMultiOrPipeline();
client.append(key, value);
return client.getIntegerReply();
}
/**
* 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
*/
@Override
public String substr(final String key, final int start, final int end) {
checkIsInMultiOrPipeline();
client.substr(key, start, end);
return client.getBulkReply();
}
/**
* 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.
*/
@Override
public Long hset(final String key, final String field, final String value) {
checkIsInMultiOrPipeline();
client.hset(key, field, value);
return client.getIntegerReply();
}
@Override
public Long hset(final String key, final Map<String, String> hash) {
checkIsInMultiOrPipeline();
client.hset(key, hash);
return client.getIntegerReply();
}
/**
* 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
*/
@Override
public String hget(final String key, final String field) {
checkIsInMultiOrPipeline();
client.hget(key, field);
return client.getBulkReply();
}
/**
* 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.
*/
@Override
public Long hsetnx(final String key, final String field, final String value) {
checkIsInMultiOrPipeline();
client.hsetnx(key, field, value);
return client.getIntegerReply();
}
/**
* 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
*/
@Override
public String hmset(final String key, final Map<String, String> hash) {
checkIsInMultiOrPipeline();
client.hmset(key, hash);
return client.getStatusCodeReply();
}
/**
* 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.
*/
@Override
public List<String> hmget(final String key, final String... fields) {
checkIsInMultiOrPipeline();
client.hmget(key, fields);
return client.getMultiBulkReply();
}
/**
* 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.
*/
@Override
public Long hincrBy(final String key, final String field, final long value) {
checkIsInMultiOrPipeline();
client.hincrBy(key, field, value);
return client.getIntegerReply();
}
/**
* 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.
*/
@Override
public Double hincrByFloat(final String key, final String field, final double value) {
checkIsInMultiOrPipeline();
client.hincrByFloat(key, field, value);
final String dval = client.getBulkReply();
return (dval != null ? new Double(dval) : null);
}
/**
* Test for existence of a specified field in a hash. Time complexity: O(1)
* @param key
* @param field
* @return Return true if the hash stored at key contains the specified field. Return false if the key is
* not found or the field is not present.
*/
@Override
public Boolean hexists(final String key, final String field) {
checkIsInMultiOrPipeline();
client.hexists(key, field);
return client.getIntegerReply() == 1;
}
/**
* 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.
*/
@Override
public Long hdel(final String key, final String... fields) {
checkIsInMultiOrPipeline();
client.hdel(key, fields);
return client.getIntegerReply();
}
/**
* 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.
*/
@Override
public Long hlen(final String key) {
checkIsInMultiOrPipeline();
client.hlen(key);
return client.getIntegerReply();
}
/**
* 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.
*/
@Override
public Set<String> hkeys(final String key) {
checkIsInMultiOrPipeline();
client.hkeys(key);
return BuilderFactory.STRING_SET.build(client.getBinaryMultiBulkReply());
}
/**
* 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.
*/
@Override
public List<String> hvals(final String key) {
checkIsInMultiOrPipeline();
client.hvals(key);
final List<String> lresult = client.getMultiBulkReply();
return lresult;
}
/**
* 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.
*/
@Override
public Map<String, String> hgetAll(final String key) {
checkIsInMultiOrPipeline();
client.hgetAll(key);
return BuilderFactory.STRING_MAP.build(client.getBinaryMultiBulkReply());
}
/**
* 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.
*/
@Override
public Long rpush(final String key, final String... strings) {
checkIsInMultiOrPipeline();
client.rpush(key, strings);
return client.getIntegerReply();
}
/**
* 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.
*/
@Override
public Long lpush(final String key, final String... strings) {
checkIsInMultiOrPipeline();
client.lpush(key, strings);
return client.getIntegerReply();
}
/**
* 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.
*/
@Override
public Long llen(final String key) {
checkIsInMultiOrPipeline();
client.llen(key);
return client.getIntegerReply();
}
/**
* 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 stop
* @return Multi bulk reply, specifically a list of elements in the specified range.
*/
@Override
public List<String> lrange(final String key, final long start, final long stop) {
checkIsInMultiOrPipeline();
client.lrange(key, start, stop);
return client.getMultiBulkReply();
}
/**
* 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 stop
* @return Status code reply
*/
@Override
public String ltrim(final String key, final long start, final long stop) {
checkIsInMultiOrPipeline();
client.ltrim(key, start, stop);
return client.getStatusCodeReply();
}
/**
* 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
*/
@Override
public String lindex(final String key, final long index) {
checkIsInMultiOrPipeline();
client.lindex(key, index);
return client.getBulkReply();
}
/**
* 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
*/
@Override
public String lset(final String key, final long index, final String value) {
checkIsInMultiOrPipeline();
client.lset(key, index, value);
return client.getStatusCodeReply();
}
/**
* 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 leave 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
*/
@Override
public Long lrem(final String key, final long count, final String value) {
checkIsInMultiOrPipeline();
client.lrem(key, count, value);
return client.getIntegerReply();
}
/**
* 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
*/
@Override
public String lpop(final String key) {
checkIsInMultiOrPipeline();
client.lpop(key);
return client.getBulkReply();
}
/**
* 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
*/
@Override
public String rpop(final String key) {
checkIsInMultiOrPipeline();
client.rpop(key);
return client.getBulkReply();
}
/**
* 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 pushing 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
*/
@Override
public String rpoplpush(final String srckey, final String dstkey) {
checkIsInMultiOrPipeline();
client.rpoplpush(srckey, dstkey);
return client.getBulkReply();
}
/**
* 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
*/
@Override
public Long sadd(final String key, final String... members) {
checkIsInMultiOrPipeline();
client.sadd(key, members);
return client.getIntegerReply();
}
/**
* 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
*/
@Override
public Set<String> smembers(final String key) {
checkIsInMultiOrPipeline();
client.smembers(key);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
/**
* 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
*/
@Override
public Long srem(final String key, final String... members) {
checkIsInMultiOrPipeline();
client.srem(key, members);
return client.getIntegerReply();
}
/**
* 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
*/
@Override
public String spop(final String key) {
checkIsInMultiOrPipeline();
client.spop(key);
return client.getBulkReply();
}
@Override
public Set<String> spop(final String key, final long count) {
checkIsInMultiOrPipeline();
client.spop(key, count);
final List<String> members = client.getMultiBulkReply();
if (members == null) return null;
return SetFromList.of(members);
}
/**
* Move the specified 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
*/
@Override
public Long smove(final String srckey, final String dstkey, final String member) {
checkIsInMultiOrPipeline();
client.smove(srckey, dstkey, member);
return client.getIntegerReply();
}
/**
* 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.
*/
@Override
public Long scard(final String key) {
checkIsInMultiOrPipeline();
client.scard(key);
return client.getIntegerReply();
}
/**
* Return true if member is a member of the set stored at key, otherwise false is returned.
*
* Time complexity O(1)
* @param key
* @param member
* @return Boolean reply, specifically: true if the element is a member of the set false if the element
* is not a member of the set OR if the key does not exist
*/
@Override
public Boolean sismember(final String key, final String member) {
checkIsInMultiOrPipeline();
client.sismember(key, member);
return client.getIntegerReply() == 1;
}
/**
* 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.
*/
@Override
public Set<String> sinter(final String... keys) {
checkIsInMultiOrPipeline();
client.sinter(keys);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
/**
* This command works exactly like {@link #sinter(String...) SINTER} but instead of being returned
* the resulting set is stored 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
*/
@Override
public Long sinterstore(final String dstkey, final String... keys) {
checkIsInMultiOrPipeline();
client.sinterstore(dstkey, keys);
return client.getIntegerReply();
}
/**
* 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.
*/
@Override
public Set<String> sunion(final String... keys) {
checkIsInMultiOrPipeline();
client.sunion(keys);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
/**
* 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
*/
@Override
public Long sunionstore(final String dstkey, final String... keys) {
checkIsInMultiOrPipeline();
client.sunionstore(dstkey, keys);
return client.getIntegerReply();
}
/**
* 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.
*/
@Override
public Set<String> sdiff(final String... keys) {
checkIsInMultiOrPipeline();
client.sdiff(keys);
return BuilderFactory.STRING_SET.build(client.getBinaryMultiBulkReply());
}
/**
* 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
*/
@Override
public Long sdiffstore(final String dstkey, final String... keys) {
checkIsInMultiOrPipeline();
client.sdiffstore(dstkey, keys);
return client.getIntegerReply();
}
/**
* 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
*/
@Override
public String srandmember(final String key) {
checkIsInMultiOrPipeline();
client.srandmember(key);
return client.getBulkReply();
}
@Override
public List<String> srandmember(final String key, final int count) {
checkIsInMultiOrPipeline();
client.srandmember(key, count);
return client.getMultiBulkReply();
}
/**
* Add the specified member having the specified 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 created. 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
*/
@Override
public Long zadd(final String key, final double score, final String member) {
checkIsInMultiOrPipeline();
client.zadd(key, score, member);
return client.getIntegerReply();
}
@Override
public Long zadd(final String key, final double score, final String member,
final ZAddParams params) {
checkIsInMultiOrPipeline();
client.zadd(key, score, member, params);
return client.getIntegerReply();
}
@Override
public Long zadd(final String key, final Map<String, Double> scoreMembers) {
checkIsInMultiOrPipeline();
client.zadd(key, scoreMembers);
return client.getIntegerReply();
}
@Override
public Long zadd(final String key, final Map<String, Double> scoreMembers, final ZAddParams params) {
checkIsInMultiOrPipeline();
client.zadd(key, scoreMembers, params);
return client.getIntegerReply();
}
@Override
public Set<String> zrange(final String key, final long start, final long stop) {
checkIsInMultiOrPipeline();
client.zrange(key, start, stop);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
/**
* 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
*/
@Override
public Long zrem(final String key, final String... members) {
checkIsInMultiOrPipeline();
client.zrem(key, members);
return client.getIntegerReply();
}
/**
* 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 created. 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 increment
* @param member
* @return The new score
*/
@Override
public Double zincrby(final String key, final double increment, final String member) {
checkIsInMultiOrPipeline();
client.zincrby(key, increment, member);
return BuilderFactory.DOUBLE.build(client.getOne());
}
@Override
public Double zincrby(final String key, final double increment, final String member, final ZIncrByParams params) {
checkIsInMultiOrPipeline();
client.zincrby(key, increment, member, params);
return BuilderFactory.DOUBLE.build(client.getOne());
}
/**
* Return the rank (or index) of 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))
* @see #zrevrank(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 zrank(final String key, final String member) {
checkIsInMultiOrPipeline();
client.zrank(key, member);
return client.getIntegerReply();
}
/**
* Return the rank (or index) of 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) {
checkIsInMultiOrPipeline();
client.zrevrank(key, member);
return client.getIntegerReply();
}
@Override
public Set<String> zrevrange(final String key, final long start, final long stop) {
checkIsInMultiOrPipeline();
client.zrevrange(key, start, stop);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
@Override
public Set<Tuple> zrangeWithScores(final String key, final long start, final long stop) {
checkIsInMultiOrPipeline();
client.zrangeWithScores(key, start, stop);
return getTupledSet();
}
@Override
public Set<Tuple> zrevrangeWithScores(final String key, final long start, final long stop) {
checkIsInMultiOrPipeline();
client.zrevrangeWithScores(key, start, stop);
return getTupledSet();
}
/**
* 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.
*/
@Override
public Long zcard(final String key) {
checkIsInMultiOrPipeline();
client.zcard(key);
return client.getIntegerReply();
}
/**
* 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
*/
@Override
public Double zscore(final String key, final String member) {
checkIsInMultiOrPipeline();
client.zscore(key, member);
return BuilderFactory.DOUBLE.build(client.getOne());
}
@Override
public Tuple zpopmax(final String key) {
checkIsInMultiOrPipeline();
client.zpopmax(key);
return BuilderFactory.TUPLE.build(client.getBinaryMultiBulkReply());
}
@Override
public Set<Tuple> zpopmax(final String key, final int count) {
checkIsInMultiOrPipeline();
client.zpopmax(key, count);
return getTupledSet();
}
@Override
public Tuple zpopmin(final String key) {
checkIsInMultiOrPipeline();
client.zpopmin(key);
return BuilderFactory.TUPLE.build(client.getBinaryMultiBulkReply());
}
@Override
public Set<Tuple> zpopmin(final String key, final int count) {
checkIsInMultiOrPipeline();
client.zpopmin(key, count);
return getTupledSet();
}
@Override
public String watch(final String... keys) {
checkIsInMultiOrPipeline();
client.watch(keys);
return client.getStatusCodeReply();
}
/**
* 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)
* @see #sort(String, SortingParams)
* @see #sort(String, SortingParams, 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.
*/
@Override
public List<String> sort(final String key) {
checkIsInMultiOrPipeline();
client.sort(key);
return client.getMultiBulkReply();
}
/**
* 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.
*/
@Override
public List<String> sort(final String key, final SortingParams sortingParameters) {
checkIsInMultiOrPipeline();
client.sort(key, sortingParameters);
return client.getMultiBulkReply();
}
/**
* 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.
*/
@Override
public List<String> blpop(final int timeout, final String... keys) {
return blpop(getArgsAddTimeout(timeout, keys));
}
private String[] getArgsAddTimeout(int timeout, String[] keys) {
final int keyCount = keys.length;
final String[] args = new String[keyCount + 1];
for (int at = 0; at != keyCount; ++at) {
args[at] = keys[at];
}
args[keyCount] = String.valueOf(timeout);
return args;
}
@Override
public List<String> blpop(final String... args) {
checkIsInMultiOrPipeline();
client.blpop(args);
client.setTimeoutInfinite();
try {
return client.getMultiBulkReply();
} finally {
client.rollbackTimeout();
}
}
@Override
public List<String> brpop(final String... args) {
checkIsInMultiOrPipeline();
client.brpop(args);
client.setTimeoutInfinite();
try {
return client.getMultiBulkReply();
} finally {
client.rollbackTimeout();
}
}
/**
* 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.
*/
@Override
public Long sort(final String key, final SortingParams sortingParameters, final String dstkey) {
checkIsInMultiOrPipeline();
client.sort(key, sortingParameters, dstkey);
return client.getIntegerReply();
}
/**
* 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.
*/
@Override
public Long sort(final String key, final String dstkey) {
checkIsInMultiOrPipeline();
client.sort(key, dstkey);
return client.getIntegerReply();
}
/**
* 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 #blpop(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.
*/
@Override
public List<String> brpop(final int timeout, final String... keys) {
return brpop(getArgsAddTimeout(timeout, keys));
}
@Override
public Long zcount(final String key, final double min, final double max) {
checkIsInMultiOrPipeline();
client.zcount(key, min, max);
return client.getIntegerReply();
}
@Override
public Long zcount(final String key, final String min, final String max) {
checkIsInMultiOrPipeline();
client.zcount(key, min, max);
return client.getIntegerReply();
}
/**
* 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.NEGATIVE_INFINITY for "-inf"
* @param max a double or Double.POSITIVE_INFINITY for "+inf"
* @return Multi bulk reply specifically a list of elements in the specified score range.
*/
@Override
public Set<String> zrangeByScore(final String key, final double min, final double max) {
checkIsInMultiOrPipeline();
client.zrangeByScore(key, min, max);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
@Override
public Set<String> zrangeByScore(final String key, final String min, final String max) {
checkIsInMultiOrPipeline();
client.zrangeByScore(key, min, max);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
/**
* 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
* @param offset
* @param count
* @return Multi bulk reply specifically a list of elements in the specified score range.
*/
@Override
public Set<String> zrangeByScore(final String key, final double min, final double max,
final int offset, final int count) {
checkIsInMultiOrPipeline();
client.zrangeByScore(key, min, max, offset, count);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
@Override
public Set<String> zrangeByScore(final String key, final String min, final String max,
final int offset, final int count) {
checkIsInMultiOrPipeline();
client.zrangeByScore(key, min, max, offset, count);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
/**
* 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<Tuple> zrangeByScoreWithScores(final String key, final double min, final double max) {
checkIsInMultiOrPipeline();
client.zrangeByScoreWithScores(key, min, max);
return getTupledSet();
}
@Override
public Set<Tuple> zrangeByScoreWithScores(final String key, final String min, final String max) {
checkIsInMultiOrPipeline();
client.zrangeByScoreWithScores(key, min, max);
return getTupledSet();
}
/**
* 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
* @param offset
* @param count
* @return Multi bulk reply specifically a list of elements in the specified score range.
*/
@Override
public Set<Tuple> zrangeByScoreWithScores(final String key, final double min, final double max,
final int offset, final int count) {
checkIsInMultiOrPipeline();
client.zrangeByScoreWithScores(key, min, max, offset, count);
return getTupledSet();
}
@Override
public Set<Tuple> zrangeByScoreWithScores(final String key, final String min, final String max,
final int offset, final int count) {
checkIsInMultiOrPipeline();
client.zrangeByScoreWithScores(key, min, max, offset, count);
return getTupledSet();
}
@Override
public Set<String> zrevrangeByScore(final String key, final double max, final double min) {
checkIsInMultiOrPipeline();
client.zrevrangeByScore(key, max, min);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
@Override
public Set<String> zrevrangeByScore(final String key, final String max, final String min) {
checkIsInMultiOrPipeline();
client.zrevrangeByScore(key, max, min);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
@Override
public Set<String> 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<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
@Override
public Set<Tuple> zrevrangeByScoreWithScores(final String key, final double max, final double min) {
checkIsInMultiOrPipeline();
client.zrevrangeByScoreWithScores(key, max, min);
return getTupledSet();
}
@Override
public Set<Tuple> 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<Tuple> 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<String> 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<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
@Override
public Set<Tuple> 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
* @param key
* @param start
* @param stop
* @return
*/
@Override
public Long zremrangeByRank(final String key, final long start, final long stop) {
checkIsInMultiOrPipeline();
client.zremrangeByRank(key, start, stop);
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 min
* @param max
* @return Integer reply, specifically the number of elements removed.
*/
@Override
public Long zremrangeByScore(final String key, final double min, final double max) {
checkIsInMultiOrPipeline();
client.zremrangeByScore(key, min, max);
return client.getIntegerReply();
}
@Override
public Long zremrangeByScore(final String key, final String min, final String max) {
checkIsInMultiOrPipeline();
client.zremrangeByScore(key, min, max);
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<String> zrangeByLex(final String key, final String min, final String max) {
checkIsInMultiOrPipeline();
client.zrangeByLex(key, min, max);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
@Override
public Set<String> 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<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
@Override
public Set<String> zrevrangeByLex(final String key, final String max, final String min) {
checkIsInMultiOrPipeline();
client.zrevrangeByLex(key, max, min);
final List<String> members = client.getMultiBulkReply();
return SetFromList.of(members);
}
@Override
public Set<String> zrevrangeByLex(final String key, final String max, final String min, final int offset, final int count) {
checkIsInMultiOrPipeline();
client.zrevrangeByLex(key, max, min, offset, count);
final List<String> members = client.getMultiBulkReply();
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();
}
@Override
public Long strlen(final String key) {
checkIsInMultiOrPipeline();
client.strlen(key);
return client.getIntegerReply();
}
@Override
public Long lpushx(final String key, final String... string) {
checkIsInMultiOrPipeline();
client.lpushx(key, string);
return client.getIntegerReply();
}
/**
* 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).
*/
@Override
public Long persist(final String key) {
checkIsInMultiOrPipeline();
client.persist(key);
return client.getIntegerReply();
}
@Override
public Long rpushx(final String key, final String... string) {
checkIsInMultiOrPipeline();
client.rpushx(key, string);
return client.getIntegerReply();
}
@Override
public String echo(final String string) {
checkIsInMultiOrPipeline();
client.echo(string);
return client.getBulkReply();
}
@Override
public Long linsert(final String key, final ListPosition where, final String pivot,
final String value) {
checkIsInMultiOrPipeline();
client.linsert(key, where, pivot, value);
return client.getIntegerReply();
}
/**
* 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(final String source, final String destination, final int timeout) {
checkIsInMultiOrPipeline();
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(final String key, final long offset, final boolean value) {
checkIsInMultiOrPipeline();
client.setbit(key, offset, value);
return client.getIntegerReply() == 1;
}
@Override
public Boolean setbit(final String key, final long offset, final String value) {
checkIsInMultiOrPipeline();
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(final String key, final long offset) {
checkIsInMultiOrPipeline();
client.getbit(key, offset);
return client.getIntegerReply() == 1;
}
@Override
public Long setrange(final String key, final long offset, final String value) {
checkIsInMultiOrPipeline();
client.setrange(key, offset, value);
return client.getIntegerReply();
}
@Override
public String getrange(final String key, final long startOffset, final long endOffset) {
checkIsInMultiOrPipeline();
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) {
checkIsInMultiOrPipeline();
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.
*/
@Override
public List<String> configGet(final String pattern) {
checkIsInMultiOrPipeline();
client.configGet(pattern);
return client.getMultiBulkReply();
}
/**
* 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 parameter 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
*/
@Override
public String configSet(final String parameter, final String value) {
checkIsInMultiOrPipeline();
client.configSet(parameter, value);
return client.getStatusCodeReply();
}
@Override
public void subscribe(final JedisPubSub jedisPubSub, final String... channels) {
client.setTimeoutInfinite();
try {
jedisPubSub.proceed(client, channels);
} finally {
client.rollbackTimeout();
}
}
@Override
public Long publish(final String channel, final String message) {
checkIsInMultiOrPipeline();
client.publish(channel, message);
return client.getIntegerReply();
}
@Override
public void psubscribe(final JedisPubSub jedisPubSub, final String... patterns) {
checkIsInMultiOrPipeline();
client.setTimeoutInfinite();
try {
jedisPubSub.proceedWithPatterns(client, patterns);
} finally {
client.rollbackTimeout();
}
}
protected static String[] getParams(List<String> keys, List<String> args) {
int keyCount = keys.size();
int argCount = args.size();
String[] params = new String[keyCount + args.size()];
for (int i = 0; i < keyCount; i++)
params[i] = keys.get(i);
for (int i = 0; i < argCount; i++)
params[keyCount + i] = args.get(i);
return params;
}
@Override
public Object eval(final String script, final int keyCount, final String... params) {
checkIsInMultiOrPipeline();
client.eval(script, keyCount, params);
client.setTimeoutInfinite();
try {
return getEvalResult();
} finally {
client.rollbackTimeout();
}
}
@Override
public Object eval(final String script, final List<String> keys, final List<String> args) {
return eval(script, keys.size(), getParams(keys, args));
}
@Override
public Object eval(final String script) {
return eval(script, 0);
}
@Override
public Object evalsha(final String sha1) {
return evalsha(sha1, 0);
}
private Object getEvalResult() {
return evalResult(client.getOne());
}
private Object evalResult(Object result) {
if (result instanceof byte[]) return SafeEncoder.encode((byte[]) result);
if (result instanceof List<?>) {
List<?> list = (List<?>) result;
List<Object> listResult = new ArrayList<>(list.size());
for (Object bin : list) {
listResult.add(evalResult(bin));
}
return listResult;
}
return result;
}
@Override
public Object evalsha(final String sha1, final List<String> keys, final List<String> args) {
return evalsha(sha1, keys.size(), getParams(keys, args));
}
@Override
public Object evalsha(final String sha1, final int keyCount, final String... params) {
checkIsInMultiOrPipeline();
client.evalsha(sha1, keyCount, params);
return getEvalResult();
}
@Override
public Boolean scriptExists(final String sha1) {
String[] a = new String[1];
a[0] = sha1;
return scriptExists(a).get(0);
}
@Override
public List<Boolean> scriptExists(final String... sha1) {
client.scriptExists(sha1);
List<Long> result = client.getIntegerMultiBulkReply();
List<Boolean> exists = new ArrayList<Boolean>();
for (Long value : result)
exists.add(value == 1);
return exists;
}
@Override
public String scriptLoad(final String script) {
client.scriptLoad(script);
return client.getBulkReply();
}
@Override
public List<Slowlog> slowlogGet() {
client.slowlogGet();
return Slowlog.from(client.getObjectMultiBulkReply());
}
@Override
public List<Slowlog> slowlogGet(final long entries) {
client.slowlogGet(entries);
return Slowlog.from(client.getObjectMultiBulkReply());
}
@Override
public Long objectRefcount(final String key) {
client.objectRefcount(key);
return client.getIntegerReply();
}
@Override
public String objectEncoding(final String key) {
client.objectEncoding(key);
return client.getBulkReply();
}
@Override
public Long objectIdletime(final String key) {
client.objectIdletime(key);
return client.getIntegerReply();
}
@Override
public Long bitcount(final String key) {
checkIsInMultiOrPipeline();
client.bitcount(key);
return client.getIntegerReply();
}
@Override
public Long bitcount(final String key, final long start, final long end) {
checkIsInMultiOrPipeline();
client.bitcount(key, start, end);
return client.getIntegerReply();
}
@Override
public Long bitop(final BitOP op, final String destKey, final String... srcKeys) {
checkIsInMultiOrPipeline();
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<Map<String, String>> sentinelMasters() {
client.sentinel(Protocol.SENTINEL_MASTERS);
final List<Object> reply = client.getObjectMultiBulkReply();
final List<Map<String, String>> masters = new ArrayList<Map<String, String>>();
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<String> sentinelGetMasterAddrByName(final String masterName) {
client.sentinel(Protocol.SENTINEL_GET_MASTER_ADDR_BY_NAME, masterName);
final List<Object> 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(final 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<Map<String, String>> sentinelSlaves(final String masterName) {
client.sentinel(Protocol.SENTINEL_SLAVES, masterName);
final List<Object> reply = client.getObjectMultiBulkReply();
final List<Map<String, String>> slaves = new ArrayList<Map<String, String>>();
for (Object obj : reply) {
slaves.add(BuilderFactory.STRING_MAP.build((List) obj));
}
return slaves;
}
@Override
public String sentinelFailover(final String masterName) {
client.sentinel(Protocol.SENTINEL_FAILOVER, masterName);
return client.getStatusCodeReply();
}
@Override
public String sentinelMonitor(final String masterName, final String ip, final int port, final int quorum) {
client.sentinel(Protocol.SENTINEL_MONITOR, masterName, ip, String.valueOf(port),
String.valueOf(quorum));
return client.getStatusCodeReply();
}
@Override
public String sentinelRemove(final String masterName) {
client.sentinel(Protocol.SENTINEL_REMOVE, masterName);
return client.getStatusCodeReply();
}
@Override
public String sentinelSet(final String masterName, final Map<String, String> 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<String, String> entry : parameterMap.entrySet()) {
params[index++] = entry.getKey();
params[index++] = entry.getValue();
}
client.sentinel(params);
return client.getStatusCodeReply();
}
@Override
public byte[] dump(final String key) {
checkIsInMultiOrPipeline();
client.dump(key);
return client.getBinaryBulkReply();
}
@Override
public String restore(final String key, final int ttl, final byte[] serializedValue) {
checkIsInMultiOrPipeline();
client.restore(key, ttl, serializedValue);
return client.getStatusCodeReply();
}
@Override
public String restoreReplace(final String key, final int ttl, final byte[] serializedValue) {
checkIsInMultiOrPipeline();
client.restoreReplace(key, ttl, serializedValue);
return client.getStatusCodeReply();
}
@Override
public Long pexpire(final String key, final long milliseconds) {
checkIsInMultiOrPipeline();
client.pexpire(key, milliseconds);
return client.getIntegerReply();
}
@Override
public Long pexpireAt(final String key, final long millisecondsTimestamp) {
checkIsInMultiOrPipeline();
client.pexpireAt(key, millisecondsTimestamp);
return client.getIntegerReply();
}
@Override
public Long pttl(final String key) {
checkIsInMultiOrPipeline();
client.pttl(key);
return client.getIntegerReply();
}
/**
* 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
*/
@Override
public String psetex(final String key, final long milliseconds, final String value) {
checkIsInMultiOrPipeline();
client.psetex(key, milliseconds, value);
return client.getStatusCodeReply();
}
@Override
public String clientKill(final String ipPort) {
checkIsInMultiOrPipeline();
this.client.clientKill(ipPort);
return this.client.getStatusCodeReply();
}
@Override
public String clientGetname() {
checkIsInMultiOrPipeline();
client.clientGetname();
return client.getBulkReply();
}
@Override
public String clientList() {
checkIsInMultiOrPipeline();
client.clientList();
return client.getBulkReply();
}
@Override
public String clientSetname(final String name) {
checkIsInMultiOrPipeline();
client.clientSetname(name);
return client.getStatusCodeReply();
}
@Override
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 String migrate(final String host, final int port, final int destinationDB,
final int timeout, final MigrateParams params, final String... keys) {
checkIsInMultiOrPipeline();
client.migrate(host, port, destinationDB, timeout, params, keys);
return client.getStatusCodeReply();
}
@Override
public ScanResult<String> scan(final String cursor) {
return scan(cursor, new ScanParams());
}
@Override
public ScanResult<String> scan(final String cursor, final ScanParams params) {
checkIsInMultiOrPipeline();
client.scan(cursor, params);
List<Object> result = client.getObjectMultiBulkReply();
String newcursor = new String((byte[]) result.get(0));
List<String> results = new ArrayList<>();
List<byte[]> rawResults = (List<byte[]>) result.get(1);
for (byte[] bs : rawResults) {
results.add(SafeEncoder.encode(bs));
}
return new ScanResult<String>(newcursor, results);
}
@Override
public ScanResult<Map.Entry<String, String>> hscan(final String key, final String cursor) {
return hscan(key, cursor, new ScanParams());
}
@Override
public ScanResult<Map.Entry<String, String>> hscan(final String key, final String cursor,
final ScanParams params) {
checkIsInMultiOrPipeline();
client.hscan(key, cursor, params);
List<Object> result = client.getObjectMultiBulkReply();
String newcursor = new String((byte[]) result.get(0));
List<Map.Entry<String, String>> results = new ArrayList<Map.Entry<String, String>>();
List<byte[]> rawResults = (List<byte[]>) result.get(1);
Iterator<byte[]> iterator = rawResults.iterator();
while (iterator.hasNext()) {
results.add(new AbstractMap.SimpleEntry<String, String>(SafeEncoder.encode(iterator.next()),
SafeEncoder.encode(iterator.next())));
}
return new ScanResult<Map.Entry<String, String>>(newcursor, results);
}
@Override
public ScanResult<String> sscan(final String key, final String cursor) {
return sscan(key, cursor, new ScanParams());
}
@Override
public ScanResult<String> sscan(final String key, final String cursor, final ScanParams params) {
checkIsInMultiOrPipeline();
client.sscan(key, cursor, params);
List<Object> result = client.getObjectMultiBulkReply();
String newcursor = new String((byte[]) result.get(0));
List<String> results = new ArrayList<>();
List<byte[]> rawResults = (List<byte[]>) result.get(1);
for (byte[] bs : rawResults) {
results.add(SafeEncoder.encode(bs));
}
return new ScanResult<String>(newcursor, results);
}
@Override
public ScanResult<Tuple> zscan(final String key, final String cursor) {
return zscan(key, cursor, new ScanParams());
}
@Override
public ScanResult<Tuple> zscan(final String key, final String cursor, final ScanParams params) {
checkIsInMultiOrPipeline();
client.zscan(key, cursor, params);
List<Object> result = client.getObjectMultiBulkReply();
String newcursor = new String((byte[]) result.get(0));
List<Tuple> results = new ArrayList<Tuple>();
List<byte[]> rawResults = (List<byte[]>) result.get(1);
Iterator<byte[]> iterator = rawResults.iterator();
while (iterator.hasNext()) {
results.add(new Tuple(iterator.next(), BuilderFactory.DOUBLE.build(iterator.next())));
}
return new ScanResult<Tuple>(newcursor, results);
}
@Override
public String clusterNodes() {
checkIsInMultiOrPipeline();
client.clusterNodes();
return client.getBulkReply();
}
@Override
public String readonly() {
checkIsInMultiOrPipeline();
client.readonly();
return client.getStatusCodeReply();
}
@Override
public String clusterMeet(final String ip, final int port) {
checkIsInMultiOrPipeline();
client.clusterMeet(ip, port);
return client.getStatusCodeReply();
}
@Override
public String clusterReset(final ClusterReset 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<String> 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<String> clusterSlaves(final String nodeId) {
checkIsInMultiOrPipeline();
client.clusterSlaves(nodeId);
return client.getMultiBulkReply();
}
@Override
public String clusterFailover() {
checkIsInMultiOrPipeline();
client.clusterFailover();
return client.getStatusCodeReply();
}
@Override
public List<Object> clusterSlots() {
checkIsInMultiOrPipeline();
client.clusterSlots();
return client.getObjectMultiBulkReply();
}
public String asking() {
checkIsInMultiOrPipeline();
client.asking();
return client.getStatusCodeReply();
}
public List<String> pubsubChannels(final String pattern) {
checkIsInMultiOrPipeline();
client.pubsubChannels(pattern);
return client.getMultiBulkReply();
}
public Long pubsubNumPat() {
checkIsInMultiOrPipeline();
client.pubsubNumPat();
return client.getIntegerReply();
}
public Map<String, String> pubsubNumSub(String... channels) {
checkIsInMultiOrPipeline();
client.pubsubNumSub(channels);
return BuilderFactory.PUBSUB_NUMSUB_MAP.build(client.getBinaryMultiBulkReply());
}
@Override
public void close() {
if (dataSource != null) {
JedisPoolAbstract pool = this.dataSource;
this.dataSource = null;
if (client.isBroken()) {
pool.returnBrokenResource(this);
} else {
pool.returnResource(this);
}
} else {
super.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(final 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<String> blpop(final int timeout, final String key) {
return blpop(key, String.valueOf(timeout));
}
@Override
public List<String> brpop(final int timeout, final String key) {
return brpop(key, String.valueOf(timeout));
}
@Override
public Long geoadd(final String key, final double longitude, final double latitude, final String member) {
checkIsInMultiOrPipeline();
client.geoadd(key, longitude, latitude, member);
return client.getIntegerReply();
}
@Override
public Long geoadd(final String key, final Map<String, GeoCoordinate> memberCoordinateMap) {
checkIsInMultiOrPipeline();
client.geoadd(key, memberCoordinateMap);
return client.getIntegerReply();
}
@Override
public Double geodist(final String key, final String member1, final String member2) {
checkIsInMultiOrPipeline();
client.geodist(key, member1, member2);
String dval = client.getBulkReply();
return (dval != null ? new Double(dval) : null);
}
@Override
public Double geodist(final String key, final String member1, final String member2, final GeoUnit unit) {
checkIsInMultiOrPipeline();
client.geodist(key, member1, member2, unit);
String dval = client.getBulkReply();
return (dval != null ? new Double(dval) : null);
}
@Override
public List<String> geohash(final String key, String... members) {
checkIsInMultiOrPipeline();
client.geohash(key, members);
return client.getMultiBulkReply();
}
@Override
public List<GeoCoordinate> geopos(final String key, String... members) {
checkIsInMultiOrPipeline();
client.geopos(key, members);
return BuilderFactory.GEO_COORDINATE_LIST.build(client.getObjectMultiBulkReply());
}
@Override
public List<GeoRadiusResponse> georadius(final String key, final double longitude, final double latitude,
final double radius, final GeoUnit unit) {
checkIsInMultiOrPipeline();
client.georadius(key, longitude, latitude, radius, unit);
return BuilderFactory.GEORADIUS_WITH_PARAMS_RESULT.build(client.getObjectMultiBulkReply());
}
@Override
public List<GeoRadiusResponse> georadiusReadonly(final String key, final double longitude, final double latitude,
final double radius, final GeoUnit unit) {
checkIsInMultiOrPipeline();
client.georadiusReadonly(key, longitude, latitude, radius, unit);
return BuilderFactory.GEORADIUS_WITH_PARAMS_RESULT.build(client.getObjectMultiBulkReply());
}
@Override
public List<GeoRadiusResponse> georadius(final String key, final double longitude, final double latitude,
final double radius, final GeoUnit unit, final GeoRadiusParam param) {
checkIsInMultiOrPipeline();
client.georadius(key, longitude, latitude, radius, unit, param);
return BuilderFactory.GEORADIUS_WITH_PARAMS_RESULT.build(client.getObjectMultiBulkReply());
}
@Override
public List<GeoRadiusResponse> georadiusReadonly(final String key, final double longitude, final double latitude,
final double radius, final GeoUnit unit, final GeoRadiusParam param) {
checkIsInMultiOrPipeline();
client.georadiusReadonly(key, longitude, latitude, radius, unit, param);
return BuilderFactory.GEORADIUS_WITH_PARAMS_RESULT.build(client.getObjectMultiBulkReply());
}
@Override
public List<GeoRadiusResponse> georadiusByMember(final String key, final String member, final double radius,
final GeoUnit unit) {
checkIsInMultiOrPipeline();
client.georadiusByMember(key, member, radius, unit);
return BuilderFactory.GEORADIUS_WITH_PARAMS_RESULT.build(client.getObjectMultiBulkReply());
}
@Override
public List<GeoRadiusResponse> georadiusByMemberReadonly(final String key, final String member, final double radius,
final GeoUnit unit) {
checkIsInMultiOrPipeline();
client.georadiusByMemberReadonly(key, member, radius, unit);
return BuilderFactory.GEORADIUS_WITH_PARAMS_RESULT.build(client.getObjectMultiBulkReply());
}
@Override
public List<GeoRadiusResponse> georadiusByMember(final String key, final String member, final double radius,
final GeoUnit unit, final GeoRadiusParam param) {
checkIsInMultiOrPipeline();
client.georadiusByMember(key, member, radius, unit, param);
return BuilderFactory.GEORADIUS_WITH_PARAMS_RESULT.build(client.getObjectMultiBulkReply());
}
@Override
public List<GeoRadiusResponse> georadiusByMemberReadonly(final String key, final String member, final double radius,
final GeoUnit unit, final GeoRadiusParam param) {
checkIsInMultiOrPipeline();
client.georadiusByMemberReadonly(key, member, radius, unit, param);
return BuilderFactory.GEORADIUS_WITH_PARAMS_RESULT.build(client.getObjectMultiBulkReply());
}
@Override
public String moduleLoad(final String path) {
checkIsInMultiOrPipeline();
client.moduleLoad(path);
return client.getStatusCodeReply();
}
@Override
public String moduleUnload(final String name) {
checkIsInMultiOrPipeline();
client.moduleUnload(name);
return client.getStatusCodeReply();
}
@Override
public List<Module> moduleList() {
checkIsInMultiOrPipeline();
client.moduleList();
return BuilderFactory.MODULE_LIST.build(client.getObjectMultiBulkReply());
}
@Override
public List<Long> bitfield(final String key, final String...arguments) {
checkIsInMultiOrPipeline();
client.bitfield(key, arguments);
return client.getIntegerMultiBulkReply();
}
@Override
public Long hstrlen(final String key, final String field) {
checkIsInMultiOrPipeline();
client.hstrlen(key, field);
return client.getIntegerReply();
}
@Override
public String memoryDoctor() {
checkIsInMultiOrPipeline();
client.memoryDoctor();
return client.getBulkReply();
}
@Override
public StreamEntryID xadd(final String key, final StreamEntryID id, final Map<String, String> hash) {
return xadd(key, id, hash, Long.MAX_VALUE, false);
}
@Override
public StreamEntryID xadd(final String key, StreamEntryID id, final Map<String, String> hash, final long maxLen, final boolean approximateLength) {
checkIsInMultiOrPipeline();
client.xadd(key, id, hash, maxLen, approximateLength);
String result = client.getBulkReply();
return new StreamEntryID(result);
}
@Override
public Long xlen(final String key) {
checkIsInMultiOrPipeline();
client.xlen(key);
return client.getIntegerReply();
}
/**
* {@inheritDoc}
*/
@Override
public List<StreamEntry> xrange(final String key, final StreamEntryID start, final StreamEntryID end, final int count) {
checkIsInMultiOrPipeline();
client.xrange(key, start, end, count);
return BuilderFactory.STREAM_ENTRY_LIST.build(client.getObjectMultiBulkReply());
}
/**
* {@inheritDoc}
*/
@Override
public List<StreamEntry> xrevrange(final String key, final StreamEntryID end, final StreamEntryID start, final int count) {
checkIsInMultiOrPipeline();
client.xrevrange(key, end, start, count);
return BuilderFactory.STREAM_ENTRY_LIST.build(client.getObjectMultiBulkReply());
}
/**
* {@inheritDoc}
*/
@Override
public List<Entry<String, List<StreamEntry>>> xread(final int count, final long block, final Entry<String, StreamEntryID>... streams) {
checkIsInMultiOrPipeline();
client.xread(count, block, streams);
client.setTimeoutInfinite();
try {
List<Object> streamsEntries = client.getObjectMultiBulkReply();
if(streamsEntries == null) {
return new ArrayList<>();
}
List<Entry<String, List<StreamEntry>>> result = new ArrayList<>(streamsEntries.size());
for(Object streamObj : streamsEntries) {
List<Object> stream = (List<Object>)streamObj;
String streamId = SafeEncoder.encode((byte[])stream.get(0));
List<StreamEntry> streamEntries = BuilderFactory.STREAM_ENTRY_LIST.build(stream.get(1));
result.add(new AbstractMap.SimpleEntry<String, List<StreamEntry>>(streamId, streamEntries));
}
return result;
} finally {
client.rollbackTimeout();
}
}
/**
* {@inheritDoc}
*/
@Override
public long xack(final String key, final String group, final StreamEntryID... ids) {
checkIsInMultiOrPipeline();
client.xack(key, group, ids);
return client.getIntegerReply();
}
@Override
public String xgroupCreate(final String key, final String groupname, final StreamEntryID id, final boolean makeStream) {
checkIsInMultiOrPipeline();
client.xgroupCreate(key, groupname, id, makeStream);
return client.getStatusCodeReply();
}
@Override
public String xgroupSetID(final String key, final String groupname, final StreamEntryID id) {
checkIsInMultiOrPipeline();
client.xgroupSetID(key, groupname, id);
return client.getStatusCodeReply();
}
@Override
public long xgroupDestroy(final String key, final String groupname) {
checkIsInMultiOrPipeline();
client.xgroupDestroy(key, groupname);
return client.getIntegerReply();
}
@Override
public String xgroupDelConsumer(final String key, final String groupname, final String consumerName) {
checkIsInMultiOrPipeline();
client.xgroupDelConsumer(key, groupname, consumerName);
return client.getStatusCodeReply();
}
@Override
public long xdel(final String key, final StreamEntryID... ids) {
checkIsInMultiOrPipeline();
client.xdel(key, ids);
return client.getIntegerReply();
}
@Override
public long xtrim(final String key, final long maxLen, final boolean approximateLength) {
checkIsInMultiOrPipeline();
client.xtrim(key, maxLen, approximateLength);
return client.getIntegerReply();
}
/**
* {@inheritDoc}
*/
@Override
public List<Entry<String, List<StreamEntry>>> xreadGroup(final String groupname, final String consumer, final int count, final long block,
final boolean noAck, final Entry<String, StreamEntryID>... streams) {
checkIsInMultiOrPipeline();
client.xreadGroup(groupname, consumer, count, block, noAck, streams);
client.setTimeoutInfinite();
try {
List<Object> streamsEntries = client.getObjectMultiBulkReply();
if(streamsEntries == null) {
return null;
}
List<Entry<String, List<StreamEntry>>> result = new ArrayList<>(streamsEntries.size());
for(Object streamObj : streamsEntries) {
List<Object> stream = (List<Object>)streamObj;
String streamId = SafeEncoder.encode((byte[])stream.get(0));
List<StreamEntry> streamEntries = BuilderFactory.STREAM_ENTRY_LIST.build(stream.get(1));
result.add(new AbstractMap.SimpleEntry<String, List<StreamEntry>>(streamId, streamEntries));
}
return result;
} finally {
client.rollbackTimeout();
}
}
@Override
public List<StreamPendingEntry> xpending(final String key, final String groupname, final StreamEntryID start, final StreamEntryID end,
final int count, final String consumername) {
checkIsInMultiOrPipeline();
client.xpending(key, groupname, start, end, count, consumername);
// TODO handle consumername == NULL case
return BuilderFactory.STREAM_PENDING_ENTRY_LIST.build(client.getObjectMultiBulkReply());
}
@Override
public List<StreamEntry> xclaim(String key, String group, String consumername, long minIdleTime, long newIdleTime,
int retries, boolean force, StreamEntryID... ids) {
checkIsInMultiOrPipeline();
client.xclaim( key, group, consumername, minIdleTime, newIdleTime, retries, force, ids);
return BuilderFactory.STREAM_ENTRY_LIST.build(client.getObjectMultiBulkReply());
}
public Object sendCommand(ProtocolCommand cmd, String... args) {
checkIsInMultiOrPipeline();
client.sendCommand(cmd, args);
return client.getOne();
}
}