正如您所说，这是Redshift中的硬性限制，没有办法提高它。 Redshift不是高并发/高连接数据库。

我希望，如果您需要Redshift的大数据分析能力，则可以通过连接共享解决此问题。 Pgpool是为此的常用工具。

好的。
感谢所有回答。
我在AWS上发布了支持票，这是建议，将所有内容粘贴在这里，虽然很长，但我希望它对遇到此问题的许多人都有用。这个想法是要在情况发生之前及时发现：

To monitor the number of connections made to the database,you can create a cloudwatch alarm based on the Database connections metrics that will trigger a lambda function when a certain threshold is reached. This lambda function can then terminate idle connections by calling a procedure that terminates idle connections.

Please find the query that creates a procedure to log and terminate long running inactive sessions
:

1. Add view to get all current inactive sessions in the cluster

CREATE OR REPLACE VIEW inactive_sessions as (
    select a.process,trim(a.user_name) as user_name,trim(c.remotehost) as remotehost,a.usesysid,a.starttime,datediff(s,sysdate) as session_dur,b.last_end,case when b.last_end is not null then b.last_end else a.starttime end,sysdate) idle_dur
        FROM
        (
            select starttime,process,u.usesysid,user_name 
            from stv_sessions s,pg_user u 
            where 
            s.user_name = u.usename 
            and u.usesysid>1
            and process NOT IN (select pid from stv_inflight where userid>1 
            union select pid from stv_recents where status != 'Done' and userid>1)
        ) a 
        LEFT OUTER JOIN (
            select 
            userid,pid,max(endtime) as last_end from svl_statementtext 
            where userid>1 and sequence=0 group by 1,2) b ON a.usesysid = b.userid AND a.process = b.pid

        LEFT OUTER JOIN (
            select username,remotehost from stl_connection_log
            where event = 'initiating session' and username <> 'rsdb') c on a.user_name = c.username AND a.process = c.pid
        WHERE (b.last_end > a.starttime OR b.last_end is null)
        ORDER BY idle_dur
);

2. Add table for logging information about long running transactions that was terminated 

CREATE TABLE IF NOT EXISTS terminated_inactive_sessions (
    process int,user_name varchar(50),remotehost varchar(50),starttime timestamp,session_dur int,idle_dur int,terminated_on timestamp DEFAULT GETDATE()   
);

3. Add procedure to log and terminate any inactive transactions running for longer than 'n' amount of seconds

CREATE OR REPLACE PROCEDURE terminate_and_log_inactive_sessions (n INTEGER) 
AS $$ 
DECLARE
  expired RECORD ; 
BEGIN
FOR expired IN SELECT process,user_name,remotehost,starttime,session_dur,idle_dur FROM inactive_sessions where idle_dur >= n
LOOP
EXECUTE 'INSERT INTO terminated_inactive_sessions (process,idle_dur) values (' || expired.process || ',''' || expired.user_name || ''',''' || expired.remotehost || ''',''' || expired.starttime || ''',' || expired.session_dur || ',' || expired.idle_dur || ');';
EXECUTE 'SELECT PG_TERMINATE_BACKEND(' || expired.process || ')';
END LOOP ; 

END ; 
$$ LANGUAGE plpgsql;

4. Execute the procedure by running the following command:

  call terminate_and_log_inactive_sessions(100);


Here is a sample lambda function that attempts to close idle connections by querying the view 'inactive_sessions' created above,which you can use as a reference. 

#Current time
now = datetime.datetime.now()

query = "SELECT process,idle_dur FROM inactive_sessions where idle_dur >= %d"

logger = logging.getLogger()
logger.setLevel(logging.INFO)

def lambda_handler(event,context):

   try:
       conn = psycopg2.connect("dbname=" + db_database + " user=" + db_user + " password=" + db_password + " port=" + db_port + " host=" + db_host)
       conn.autocommit = True
   except:
       logger.error("ERROR: Unexpected error: Could not connect to Redshift cluster.")   
       sys.exit()

   logger.info("SUCCESS: Connection to RDS Redshift cluster succeeded")

   with conn.cursor() as cur:
       cur.execute(query % (session_idle_limit))
       row_count = cur.rowcount
       if row_count >=1:
           result = cur.fetchall()
           for row in result:
               print("terminating session with pid %s that has been idle for %d seconds at %s" % (row[0],row[3],now))
              cur.execute("SELECT PG_TERMINATE_BACKEND(%s);" % (row[0]))
           conn.close()
       else:
           conn.close()