A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.
The disclosure relates to the field of high-availability database systems and more particularly to techniques for retaining and reclaiming resource locks and client states after one or more server failures.
In environments that rely on highly-available database access, often a single database instance is accessed by multiple servers over some form of a network, and any one or more of the multiple servers establishes network connections with the database instance. Such a connection is then used to communicate data and control information to and from the database instance and the servers. In the situation where there are multiple servers (e.g., providing services for a payroll application, or providing services for an accounts payable application, etc.), the multiple servers access a single database instance. In such a case, some form of access control (e.g., locks, semaphores) is implemented so as to avoid access collisions (e.g., two servers unknowingly writing to the same database table row at the same time). During ongoing operation, it is possible that one or more of the servers crashes, or it is possible that certain functional components hosted on the one or more of the servers (e.g., their communication connections) experience a crash or other failure.
In legacy implementations of high-availability database systems, only certain failures are deemed recoverable. For example, some legacy systems attempt a (partial) recovery when a connection is lost by merely relying on a client to establish a new connection to replace a failed connection. Such legacy techniques are deficient in at least the regard that in modern database systems, more than one connection (each of which has particular characteristics) might be in use at any moment in time, and legacy techniques do not have the capabilities to manage multiple connections. Further, legacy techniques are deficient in at least the regard that a failure might come in the form of a failed server (e.g., together with any/all services of the failed server, including use of any number of connections), and the legacy implementations have no way of recovering in the event of a failed connection due to a failed server.
Worse, in modern high-availability database system, the existence and configuration of the aforementioned form (or forms) of access control (e.g., locks, semaphores) might be complex (e.g., at a fine-grained level of access), and reclaiming extensive state might need to occur quickly, and with a high degree of fidelity. Legacy techniques are deficient. Still worse, it can sometimes occur that a plurality of servers (and constituent connections) suffer concurrent or nearly concurrent failures (e.g., in a rack/blade situation), and legacy techniques do not address this situation at all, or are inadequate to recover quickly and with a high degree of fidelity with respect to the system as a whole just prior to the failure or failures. Moreover, none of the aforementioned technologies have the capabilities to perform the herein-disclosed techniques for retaining and reclaiming resource locks and client states after one or more server failures. Therefore, there is a need for an improved approach.
The present disclosure provides an improved method, system, and computer program product suited to address the aforementioned issues with legacy approaches. More specifically, the present disclosure provides a detailed description of techniques used in methods, systems, and computer program products for retaining and reclaiming resource locks and client states after one or more server failures.
Some method embodiments commence by replicating (e.g., copying or broadcasting from a first server to a second server, and/or a third server, and/or an Nth server) a data structure having entries describing resource locks and client states. The servers operate normally, periodically updating the data structure. One or more servers or an agent can detect a server failure or interruption (e.g., a failure or interruption of the connection between the first server and a client), and the system establishes a new connection between the second server and the client by updating the replicated data structure to describe the new connection between the second server and the client, and then updating the entries of the replicated data structure to reflect (i) the new connection as well as (ii) the then current aspects of the resource locks and client states. The client can be a database instance, and the act of replicating can be accomplished using a broadcast channel. The servers can be organized in a computing cluster, and the agent can be implemented on any computational unit in the cluster.
Further details of aspects, objectives, and advantages of the disclosure are described below and in the detailed description, drawings, and claims. Both the foregoing general description of the background and the following detailed description are exemplary and explanatory, and are not intended to be limiting as to the scope of the claims.
Some embodiments of the present disclosure address the problem of failover in an enterprise database system and some embodiments are directed to an improved approach for implementing retaining and reclaiming resource locks and client states after one or more server failures. More particularly, disclosed herein and in the accompanying figures are exemplary environments, methods, and systems for retaining, and reclaiming resource locks and client states after one or more server failures.
Overview
In environments that rely on high-availability database access, often a single database instance is accessed by multiple servers over some form of a network, and any one or more of the multiple servers establishes network connections with the database instance. Such a connection is then used to communicate data and control information to and from the database instance and the servers. In the situation where there are multiple servers accessing a single database instance, some form of access control (e.g., locks, semaphores) is implemented so as to avoid access collisions (e.g., two servers unknowingly writing to the same database table row at the same time). Indeed, in the situation where user applications are performing I/O to and from a shared storage system (e.g., a database instance) which is managed by a group of servers, a failure of the particular server to which the client is connected causes user applications to degrade (or fail).
Disclosed herein are techniques such that in the event of a server failure (e.g., a failure to provide access services), the connected database instances survive the server failure and continue to function—even during reclaiming and reconnecting operations. In order to accomplish this, some techniques need to be in place such that resources allocated (e.g., locks), and/or privileges granted (e.g., states or access provided by the locks) can persist through the failure event, and through reclaiming and reconnecting operations. The herein disclosed techniques for lock management provide for honoring locks especially in the situation of a lock that was initially allocated by a later-failed server. More particularly, the lock management techniques honor locks based on portions of lock allocation and status as is preserved in redundant data structures.
In situations where the (failed) server had connections to the shared storage system, those connections need to be transparently reestablished (e.g., by creating new connections and/or sessions on a surviving server). In some cases a server may have been acting as a repository for state variables, which state variables augment the aforementioned privileges granted and/or resources allocated, and those state variables need to be reconstructed on a replacement server. The reconstructed state variables need to be re-associated with the original requestor. As earlier indicated, a particular server might manage a large number of privileges granted, resources allocated, and connections established (and other state variables); therefore a comprehensive technique is needed to maintain the fidelity of the system even after reconstruction. Accordingly, techniques and systems are herein-below disclosed, which implement reconstruction of connections, locks, states and so on after a detected (or intentional) server interruption.
Definitions
Some of the terms used in this description are defined below for easy reference. The presented terms and their respective definitions are not rigidly restricted to these definitions—a term may be further defined by the term's use within this disclosure.
Reference is now made in detail to certain embodiments. The disclosed embodiments are not intended to be limiting of the claims.
Descriptions Of Exemplary Embodiments
As shown, enterprise applications are accessed by users utilizing user interfaces (e.g., the shown user interfaces 110). Some (or all) of the functions of any one or more of these enterprise applications are hosted on one or more database instances. Application-specific functionality is provided by user interface applications or user application services or middleware interfaces (e.g., database instance tasks 1171, database instance tasks 1172, database instance tasks 117N).
Any database instance can be supported by one or more processes that provide access services, which processes might be hosted on one or more nodes in a cluster of servers 121 (e.g., comprising server 1011, server 1012, server 101N, etc.) and any such server can host any number of foreground tasks (e.g., foreground tasks 1121, foreground tasks 1122, foreground tasks 112N). Any of the foreground tasks may access data in its respective server, and/or can access a database instance (e.g., database instance 1040, database instance 1041) for which there is a connection. Any of the database instance tasks may access data locally from its respective database instance (e.g., database instance 1040, database instance 1041), and/or can access data from a server (e.g., server 1011, server 1012, server 101N, etc.) for which there is a connection. Access (either local access or remote access) can be granted (or can be denied) in accordance with a variety of access modes and privileges (e.g., READ access, READ/WRITE access, etc.). Communications between the server(s) and database instance(s) is facilitated by one or more connections between a server and the database. For example, server 1011 uses a set of connections labeled as “C11”, “C12”, etc. Additional connections (through “C1M”) are established as needed, and can be considered as a related group of connections (e.g., the connection group 1111, connection group 1112, connection group 111N, etc.). The number of individual connections within a connection can be small such as is depicted in
The aforementioned user interfaces 110 may access any one or more of the database instances or servers via one or more instances of a physical network component (e.g., network 105). Implementation of a network can support point-to-point communications (e.g., as shown) or the network can support any-node-to-any-node communications (e.g., as in a packet switching network). Further, any one or more of the servers (e.g., server 1011, server 1012, server 101N, etc.) can communicate with any other one or more of the servers using facilities of network 105. The connections (e.g., of any of the connection groups) may use the facilities of network 105, or may use the resources of a different network.
The operating conditions of a server and/or its connections can be maintained in a data structure (e.g., datastructure 1151, datastructure 1152, datastructure 115N, etc.). Such a data structure can contain entries, which in turn contain information as to operating conditions of a server and/or its connections (e.g., connection endpoints, connection modes, lock conditions, operating states, connection states, etc.). As shown, any server can define and maintain the server's own data structure within the server's allocated memory area. The operating conditions may comprise information regarding resource allocations (e.g., locks) and/or connection states (e.g., connection state 1191, connection state 1192, connection state 119N, etc.) and/or operating modes. The aforementioned data structure is merely one possible way for operating conditions to be maintained by a server, and any known-in-the-art techniques can be employed to maintain such operating conditions, and the storage extent of the shown data structure can be extended to include additional data (e.g., see locks/states 1081, locks/states 1082, locks/states 108N, etc.). The persistence of the entries corresponding to information as to the full extent of operating conditions of a server can be semi-volatile (e.g., within RAM memory) or can be more non-volatile (e.g., within FLASH memory). Some portions of entries corresponding to information as to operating conditions of a server can be stored in persistent non-volatile storage such as in/on magnetic media (e.g., a hard disk drive).
The database instance tasks can perform various services, for example database instance tasks can perform a user foreground tasks, or a background task, or can be a slave process under control or direction of any other process in environment 1A00.
As can be seen from the organization as shown within environment 1A00, if a server fails, its connections also fail, and some or all of the operating conditions are lost. For example, if a server fails, the server's RAM memory cannot be reliably accessed, and/or the server's HDD media cannot be reliably accessed.
For the purposes of retaining and reclaiming operating conditions (e.g., resource locks and client states after one or more server failures), an architecture such as is shown in
For implementing embodiments of a system for retaining and reclaiming resource locks and client states after one or more server failures, the following actions and implementation concepts are introduced:
The operations for retaining and reclaiming resource locks and client states after one or more server failures includes broadcasting the contents of a data structure (and changes to the data structure) to other servers in the environment. The replicated data structure comprises entries describing resource locks and client states, which entries are broadcast from a first server (e.g., server 1011) to at least one second server (e.g., to the server 1012 and to the server 101N as shown).
The shown sequence commences when a detection module detects a failure of a connection between a first server and a corresponding client (see bubble 1). In the embodiment shown, the specific detection module is the detector 1060, however any detector can serve to detect and deem a server (or its connections) to have failed.
When the server is deemed to have failed, in this case the server being server 1011, then the connections (e.g., C11, C12, C1M) that were used by the failed server are reestablished (see bubble 2) to a replacement server. As shown, the replacement server is server 1012.
In some cases a server might have a connection to a “primary” database instance (see bubble 3) as well as one or more connections to any “standby” database instances. In such a case, reconnections might be sequenced so as to connect to a primary database first, and then subsequently connect to any standby database instances (see bubble 5).
After reestablishment of the connections from the failed server to the replacement server (see bubble 2), the entries describing connections and resource locks and client states are updated to reflect the then current operating conditions (see bubble 4).
The flow diagram 200 depicts two entry points, shown as auto detection 210 and manual detection 212. As can be understood, the techniques for retaining and reclaiming resource locks and client states can be practiced regardless if a server fails unexpectedly during operation, or if a server is intended to be deemed as a failed server, for example if a server is to be taken down for maintenance. In either case of entry through auto detection 210 or manual detection 212, the depicted failover operations (e.g., see initiate failover operations, operation 214) can begin.
Failover logic 216 can comprise a step to determine which server failed (see operation 218) and/or to determine which server is available to handle the load of the failed server (see operation 220). In the case that there is a manual decision to take down a server, the identification of that server can be provided to operation 220 (e.g., via path 213) such that the identified particular server is deemed as the failed server, and thus, its load can be migrated to a replacement server. In other cases, sub-steps within failover logic determine which server or servers are available as a failover candidate (see operation 220).
In addition to failover logic sub-steps, flow diagram 200 depicts sub-steps for bring-up logic 228. The bring-up logic includes an operation to select one of the failover candidates, and to deem a selected one of the failover candidates as a failover target (see operation 222). It can happen for various reasons that there is no suitable failover target (see
The flow diagram 200 depicts merely one possible approach to failover and bring-up. Other approaches are possible, some of which are further discussed in
Now, for implementing portions of the aforementioned bring-up logic in particular, the operation to reestablish connections (see operation 226) a data structure is used. Such a data structure is maintained by a set of servers (some or all which can be failover candidates), and ongoing changes to such a data structure are broadcast. Aspects of a sample data structure and the manner of making changes to it are discussed in
As shown, the sample data structure depicts entries comprising connection endpoints (see “Connection Endpoints”), a logical unit identifier (see column “LU”), a description of locks and lock modes (see column “Locks/Modes”), and various operational states (see column “States”). Strictly as an example (and as shown) the server identified as “Server01” has an entry showing a connection to a database instance identified as “Client01”, and this connection is referred to using a connection logical unit identifier “CA1”. Further, a set of locks, respective modes, and states as are established using a connection logical unit identifier “CA1”. As shown, and as pertaining to connection logical unit identifier “CA1”, a set of locks is depicted as “{L0101DF, L0101FS} and, pertaining to connection logical unit identifier “CB1”, a set of locks is depicted as “{L0102DF}”, and so on.
Locks can refer to locks or semaphores for access to particular resources, and the granularity of access locks can be highly granular. Strictly as examples, Table 1 provides a list of possible locks, together with a corresponding identifier.
Continuing with the discussion of the sample data structure and the manner of making changes to it, any and all servers within the environment maintain a copy of this data structure. Ongoing updates to the data structure are communicated between servers (e.g., using a broadcast channel), and all copies of the data structure are substantially identical at any moment in time. The sample data structure 3A00 shows four connections owned by Server01 (e.g., connection logical unit identifier “CA1”, connection logical unit identifier “CB1”, connection logical unit identifier “CD1”, and connection logical unit identifier “CE1”), and one connection owned by Server02 (e.g., connection logical unit identifier “CC2”).
In the event that “Server01” is deemed to have failed, then the connections owned by Server01 are deemed to have failed along with the failed server, and the locks/modes and states become the subject of bring-up operations, which bring-up operations include bringing-up new connections on a failover target.
Changes to the data structure to reflect bring-up and reconstruction operations (including new entries to represent new connections and reclaimed locks/modes and newly-updated states as pertaining to corresponding instances in the failover target) are now discussed.
The depiction of sample data structure 3B00 includes entries (e.g., row 301, row 302, . . . row 309). The entries given in row 301, row 302, row 304, and row 305 depict the entries that pertain to Server01 (see the endpoints columns 320). The entries given in row 303 depict an entry that pertains to Server02. When Server01 is deemed to have failed, and another server is identified as the failover target, the sample data structure 3B00 is modified as follows:
The user applications that were formerly relying on “Server01” are now able to rely on “Server02”. The transition is seamless, at least to the extent that the user applications need not be made aware of the failure of “Server01”, and need not be aware of failover to “Server02”.
The foregoing is merely one possible example scenario, and other scenarios and/or sequence of operations for failover and bring-up are possible, some of which scenarios are discussed in the following
One aspect of failover logic is to determine which server or servers are available as a failover candidate (also refer to operation 220 of
Once the availability of one or more failover targets has been identified, certain operations for bring-up commence. A set of sample bring-up operations are discussed infra.
It sometimes occurs that a particular server is purposely selected to be a failover target, and in such a case (e.g., see decision 402) the list of failover candidates comprises the one particular server that was purposely selected to be the failover target.
In some situations, all servers in the set of failover candidates might be identical or indistinct as for purposes of selecting a failover target, and more than one server in the set of failover candidates might be available as a failover candidate (refer to operation 412). In other situations, a single failover target can be selected based on considerations such as a hardware or software configuration, or based on a reported load. For example, if the failed server required a direct connection to a WAN, but only some of the failover candidates are configured with a direct connection to a WAN, then only those might be further considered as a failover candidate. Or, in another situation, multiple failover candidates might be appropriately configured, yet some of those are heavily loaded and some are lightly loaded. In such a case, a final failover target might be selected based on the reported light load. Other selection criteria are reasonable and possible, and the operation to select one of the failover candidates as the failover target (see operation 502) is illustrative of the result of the operation.
The shown bring-up logic 228 continues to identify the connections formerly held by the failed server (see operation 504). Again referring to the data structure of
Having accomplished at least a portion of updating the connections with a new connection logical unit number and updating the connections with a new endpoint, communication with the failover target server and any connected computational units can proceed. In this example, “Server02” begins a process to update/refresh the status of locks/modes (see operation 510) and states (see operation 512).
Operation 514 depicts the situation where the operation to select one of the failover candidates as the failover target (see operation 502) fails to select any suitable failover target, and the bring-up logic 228 reports a “Give Up” indication to the caller.
In some cases locks, their status, and modes are refreshed or deallocated, and in the course of doing so, some locks may have expired (e.g., and may need to be refreshed or deallocated), and some locks may need to be revoked. In exemplary cases, any individual server is able to detect an expired or stale nature of a privilege or lock and at least to that extent can clean up its data structures independently from other servers.
Additional Embodiments Of The Disclosure
As shown, system 600 comprises at least one processor and at least one memory, the memory serving to store program instructions corresponding to the operations of the system. As shown, an operation can be implemented in whole or in part using program instructions accessible by a module. The modules are connected to a communication path 605, and any operation can communicate with other operations over communication path 605. The modules of the system can, individually or in combination, perform method operations within system 600. Any operations performed within system 600 may be performed in any order unless as may be specified in the claims. The embodiment of
System Architecture Overview
According to one embodiment of the disclosure, computer system 700 performs specific operations by processor 707 executing one or more sequences of one or more instructions contained in system memory 708. Such instructions may be read into system memory 708 from another computer readable/usable medium, such as a static storage device or a disk drive 710. In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions to implement the disclosure. Thus, embodiments of the disclosure are not limited to any specific combination of hardware circuitry and/or software. In one embodiment, the term “logic” shall mean any combination of software or hardware that is used to implement all or part of the disclosure.
The term “computer readable medium” or “computer usable medium” as used herein refers to any medium that participates in providing instructions to processor 707 for execution. Such a medium may take many forms, including but not limited to, non-volatile media and volatile media. Non-volatile media includes, for example, optical or magnetic disks, such as disk drive 710. Volatile media includes dynamic memory, such as system memory 708.
Common forms of computer readable media includes, for example, floppy disk, flexible disk, hard disk, magnetic tape, or any other magnetic medium; CD-ROM or any other optical medium; punch cards, paper tape, or any other physical medium with patterns of holes; RAM, PROM, EPROM, FLASH-EPROM, or any other memory chip or cartridge, or any other non-transitory medium from which a computer can read data.
In an embodiment of the disclosure, execution of the sequences of instructions to practice the disclosure is performed by a single instance of the computer system 700. According to certain embodiments of the disclosure, two or more computer systems 700 coupled by a communications link 715 (e.g., LAN, PTSN, or wireless network) may perform the sequence of instructions required to practice the disclosure in coordination with one another.
Computer system 700 may transmit and receive messages, data, and instructions, including programs (e.g., application code), through communications link 715 and communication interface 714. Received program code may be executed by processor 707 as it is received, and/or stored in disk drive 710 or other non-volatile storage for later execution. Computer system 700 may communicate through a data interface 733 to a database 732 on an external data repository 731. A module as used herein can be implemented using any mix of any portions of the system memory 708, and any extent of hard-wired circuitry including hard-wired circuitry embodied as a processor 707.
In the foregoing specification, the disclosure has been described with reference to specific embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the disclosure. For example, the above-described process flows are described with reference to a particular ordering of process actions. However, the ordering of many of the described process actions may be changed without affecting the scope or operation of the disclosure. The specification and drawings are, accordingly, to be regarded in an illustrative sense rather than restrictive sense.
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