Knowledge (XXG)

Record locking

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238:(locking one entity, then locking one or more additional entities) is used. To illustrate, if two bank customers asked two clerks to obtain their account information so they could transfer some money into other accounts, the two accounts would essentially be locked. Then, if the customers told their clerks that the money was to be transferred into each other's accounts, the clerks would search for the other accounts but find them to be "in use" and wait for them to be returned. Unknowingly, the two clerks are waiting for each other, and neither of them can complete their transaction until the other gives up and returns the account. Various techniques are used to avoid such problems. 25: 143:. Clerk 1 applies and saves a transaction. Clerk 2 applies a different transaction to his saved copy, and saves the result, based on the original record and his changes, overwriting the transaction entered by clerk 1. The record no longer reflects the first transaction, as if it had never taken place. 308:
If lock requests for the same entity are queued, then once a shared lock is granted, any queued shared locks may also be granted. If an exclusive lock is found next on the queue, it must wait until all shared locks have been released. As with exclusive locks, these shared locks should be held for the
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queue. This would ensure that any possible waiter would get equal chance to obtain the lock and not be locked out. To further speed up the process, if an entity has gone to sleep waiting for a lock, performance is improved if the entity is notified of the grant, instead of discovering it on some sort
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when retrieved for editing or updating. Anyone attempting to retrieve the same record for editing is denied write access because of the lock (although, depending on the implementation, they may be able to view the record without editing it). Once the record is saved or edits are canceled, the lock
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can contain multiple entries. Shared locks allow all holders to read the contents of the record knowing that the record cannot be changed until after the lock has been released by all holders. Exclusive locks cannot be obtained when a record is already locked (exclusively or shared) by another
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whenever a record is being modified by any user, so that no other user can save data. This prevents records from being overwritten incorrectly, but allows only one record to be processed at a time, locking out other users who need to edit records at the same time.
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The application or system should be designed such that any lock is held for the shortest time possible. Data reading, without editing facilities, does not require a lock, and reading locked records is usually permissible.
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is achieved if each individual account may be taken by a clerk. This would allow any customer to be serviced without waiting for another customer who is accessing a different account. This is analogous to a
204:, provided that each customer's account is found on a different page than the others. If two customers have accounts on the same page, then only one may be serviced at a time. This is analogous to a 200:
If the clerks can remove one page from the ledger, containing the account of the current customer (plus several other accounts), then multiple customers can be serviced
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If the bank clerks (to follow the illustration above) are serving two customers, but their accounts are contained in one ledger, then the entire ledger, or one or more
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Exclusive locks are exclusively held by a single entity, usually for the purpose of writing to the record. If the locking schema was represented by a list, the
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To allow several users to edit a database table at the same time and also prevent inconsistencies created by unrestricted access, a single record can be
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would contain only one entry. Since this type of lock effectively blocks any other entity that requires the lock from processing, care must be used to:
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Record locks need to be managed between the entities requesting the records such that no entity is given too much service via successive
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not hold the lock across system or function calls where the entity is no longer running on the processor – this can lead to deadlock;
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The introduction of granular (subset) locks creates the possibility for a situation called
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and is normally the highest degree of locking granularity in a database management system.
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for two different transactions. Clerks 1 and 2 both retrieve (i.e., copy) the account's
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is released. Records can never be saved so as to overwrite other changes, preserving
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ensure that if the entity is unexpectedly exited for any reason, the lock is freed.
194: 147: 136: 212: 24: 287:) can be held in a list that is serviced in a round-robin fashion, or in a 125: 132: 177:
A thorough and authoritative description of locking was written by
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is the technique of preventing simultaneous access to data in a
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among multiple database users. This is the "I" in the acronym
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In database management theory, locking is used to implement
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Distributed Transaction Processing: Concepts and Techniques
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ensure the lock is held for the shortest time possible;
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Shared locks differ from exclusive locks in that the
49:. Unsourced material may be challenged and removed. 227:database, a record is typically called a "row". 8: 131:The classic example is demonstrated by two 257:Two main types of locks can be requested: 109:Learn how and when to remove this message 338:Gray, Jim & Reuter, Andreas (1993), 330: 16:Solution for concurrent database access 135:clerks attempting to update the same 7: 47:adding citations to reliable sources 146:A simple way to prevent this is to 128:, to prevent inconsistent results. 292:of system timeout driven wake-up. 14: 283:Non-holders of the lock (a.k.a. 23: 34:needs additional citations for 1: 344:, Morgan Kaufmann, pp.  234:. Deadlock is possible when 396: 380:Transaction processing 309:least time possible. 185:Granularity of locks 43:improve this article 375:Concurrency control 319:Readers–writer lock 236:incremental locking 211:A higher degree of 218:record level lock 119: 118: 111: 93: 387: 359: 358: 335: 114: 107: 103: 100: 94: 92: 58:"Record locking" 51: 27: 19: 395: 394: 390: 389: 388: 386: 385: 384: 365: 364: 363: 362: 356: 337: 336: 332: 327: 315: 298: 263: 261:Exclusive locks 244: 208:in a database. 206:page level lock 191:database tables 187: 115: 104: 98: 95: 52: 50: 40: 28: 17: 12: 11: 5: 393: 391: 383: 382: 377: 367: 366: 361: 360: 354: 329: 328: 326: 323: 322: 321: 314: 311: 297: 294: 281: 280: 277: 274: 262: 259: 243: 240: 186: 183: 161:data integrity 122:Record locking 117: 116: 31: 29: 22: 15: 13: 10: 9: 6: 4: 3: 2: 392: 381: 378: 376: 373: 372: 370: 357: 355:1-55860-190-2 351: 347: 343: 342: 334: 331: 324: 320: 317: 316: 312: 310: 306: 303: 295: 293: 290: 286: 278: 275: 272: 271: 270: 268: 260: 258: 255: 251: 249: 241: 239: 237: 233: 228: 226: 221: 219: 214: 209: 207: 203: 198: 196: 192: 184: 182: 180: 175: 173: 169: 164: 162: 157: 152: 149: 148:lock the file 144: 142: 138: 134: 129: 127: 123: 113: 110: 102: 99:December 2009 91: 88: 84: 81: 77: 74: 70: 67: 63: 60: â€“  59: 55: 54:Find sources: 48: 44: 38: 37: 32:This article 30: 26: 21: 20: 340: 333: 307: 301: 299: 296:Shared locks 284: 282: 266: 264: 256: 252: 247: 245: 242:Use of locks 235: 229: 222: 217: 210: 205: 202:concurrently 199: 195:file locking 188: 176: 167: 165: 155: 153: 145: 137:bank account 130: 121: 120: 105: 96: 86: 79: 72: 65: 53: 41:Please help 36:verification 33: 302:holder list 267:holder list 213:granularity 369:Categories 325:References 69:newspapers 168:isolation 313:See also 305:entity. 232:deadlock 179:Jim Gray 126:database 346:375–437 285:waiters 83:scholar 352:  248:grants 156:locked 141:record 85:  78:  71:  64:  56:  223:In a 90:JSTOR 76:books 350:ISBN 289:FIFO 172:ACID 133:bank 62:news 225:SQL 45:by 371:: 348:, 181:. 174:. 163:. 112:) 106:( 101:) 97:( 87:· 80:· 73:· 66:· 39:.

Index


verification
improve this article
adding citations to reliable sources
"Record locking"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message
database
bank
bank account
record
lock the file
data integrity
ACID
Jim Gray
database tables
file locking
concurrently
granularity
SQL
deadlock
FIFO
Readers–writer lock
Distributed Transaction Processing: Concepts and Techniques
375–437
ISBN

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