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Diese Seite enthält Codebeispiele für die Verwendung der untergeordneten Memcache API in Java. Memcache ist ein leistungsstarkes, verteiltes Speicherobjekt-Caching-System, das schnellen Zugriff auf im Cache gespeicherte Daten bietet. Weitere Informationen zu Memcache finden Sie in der Übersicht über Memcache.
Synchrone Verwendung
Beispiel für eine untergeordnete API mit dem synchronen MemcacheService:
@SuppressWarnings("serial")// With @WebServlet annotation the webapp/WEB-INF/web.xml is no longer required.@WebServlet(name="MemcacheSync",description="Memcache: Synchronous",urlPatterns="/memcache/sync")publicclassMemcacheSyncCacheServletextendsHttpServlet{@OverridepublicvoiddoGet(HttpServletRequestreq,HttpServletResponseresp)throwsIOException,ServletException{Stringpath=req.getRequestURI();if(path.startsWith("/favicon.ico")){return;// ignore the request for favicon.ico}MemcacheServicesyncCache=MemcacheServiceFactory.getMemcacheService();syncCache.setErrorHandler(ErrorHandlers.getConsistentLogAndContinue(Level.INFO));Stringkey="count-sync";byte[]value;longcount=1;value=(byte[])syncCache.get(key);if(value==null){value=BigInteger.valueOf(count).toByteArray();syncCache.put(key,value);}else{// Increment valuecount=newBigInteger(value).longValue();count++;value=BigInteger.valueOf(count).toByteArray();// Put back in cachesyncCache.put(key,value);}// Output contentresp.setContentType("text/plain");resp.getWriter().print("Value is "+count+"\n");}}
Asynchrone Verwendung
Beispiel für eine untergeordnete API mit AsyncMemcacheService:
AsyncMemcacheServiceasyncCache=MemcacheServiceFactory.getAsyncMemcacheService();asyncCache.setErrorHandler(ErrorHandlers.getConsistentLogAndContinue(Level.INFO));Stringkey="count-async";byte[]value;longcount=1;Future<Object>futureValue=asyncCache.get(key);// Read from cache.// ... Do other work in parallel to cache retrieval.try{value=(byte[])futureValue.get();if(value==null){value=BigInteger.valueOf(count).toByteArray();asyncCache.put(key,value);}else{// Increment valuecount=newBigInteger(value).longValue();count++;value=BigInteger.valueOf(count).toByteArray();// Put back in cacheasyncCache.put(key,value);}}catch(InterruptedException|ExecutionExceptione){thrownewServletException("Error when waiting for future value",e);}
Weitere Informationen zur untergeordneten API finden Sie im Memcache-Javadoc.
[[["Leicht verständlich","easyToUnderstand","thumb-up"],["Mein Problem wurde gelöst","solvedMyProblem","thumb-up"],["Sonstiges","otherUp","thumb-up"]],[["Schwer verständlich","hardToUnderstand","thumb-down"],["Informationen oder Beispielcode falsch","incorrectInformationOrSampleCode","thumb-down"],["Benötigte Informationen/Beispiele nicht gefunden","missingTheInformationSamplesINeed","thumb-down"],["Problem mit der Übersetzung","translationIssue","thumb-down"],["Sonstiges","otherDown","thumb-down"]],["Zuletzt aktualisiert: 2025-09-04 (UTC)."],[[["\u003cp\u003eThis page offers Java code examples for utilizing the low-level Memcache API, which is a high-speed, distributed memory caching system for efficient data access.\u003c/p\u003e\n"],["\u003cp\u003eThe provided code demonstrates both synchronous usage with \u003ccode\u003eMemcacheService\u003c/code\u003e and asynchronous usage with \u003ccode\u003eAsyncMemcacheService\u003c/code\u003e for interacting with the cache.\u003c/p\u003e\n"],["\u003cp\u003eThis legacy bundled API is exclusive to first-generation runtimes within the App Engine standard environment, and migration to newer Java environments like Java 11/17 requires review of the provided migration guide.\u003c/p\u003e\n"],["\u003cp\u003eThe examples show how to get, set and increment values in the cache, demonstrating basic operations using the Memcache API.\u003c/p\u003e\n"]]],[],null,["# Memcache Examples\n\nThis page provides code examples in Java for using the\n[low-level Memcache API](/appengine/docs/legacy/standard/java/memcache#Java_Caching_data_with_the_Low-Level_API). Memcache\nis a high-performance, distributed memory object caching system that provides\nfast access to cached data. To learn more about memcache, read the\n[Memcache Overview](/appengine/docs/legacy/standard/java/memcache).\n| This page describes how to use the legacy bundled services and APIs. This API can only run in first-generation runtimes in the App Engine standard environment. If you are updating to the App Engine Java 11/17 runtime, refer to the [migration guide](/appengine/migration-center/standard/migrate-to-second-gen/java-differences) to learn about your migration options for legacy bundled services.\n\n\u003cbr /\u003e\n\nSynchronous usage\n-----------------\n\nLow-level API example using the synchronous `MemcacheService`: \n\n @SuppressWarnings(\"serial\")\n // With @WebServlet annotation the webapp/WEB-INF/web.xml is no longer required.\n @WebServlet(name = \"MemcacheSync\", description = \"Memcache: Synchronous\",\n urlPatterns = \"/memcache/sync\")\n public class MemcacheSyncCacheServlet extends HttpServlet {\n\n @Override\n public void doGet(HttpServletRequest req, HttpServletResponse resp) throws IOException,\n ServletException {\n String path = req.getRequestURI();\n if (path.startsWith(\"/favicon.ico\")) {\n return; // ignore the request for favicon.ico\n }\n\n MemcacheService syncCache = MemcacheServiceFactory.getMemcacheService();\n syncCache.setErrorHandler(ErrorHandlers.getConsistentLogAndContinue(Level.INFO));\n String key = \"count-sync\";\n byte[] value;\n long count = 1;\n value = (byte[]) syncCache.get(key);\n if (value == null) {\n value = BigInteger.valueOf(count).toByteArray();\n syncCache.put(key, value);\n } else {\n // Increment value\n count = new BigInteger(value).longValue();\n count++;\n value = BigInteger.valueOf(count).toByteArray();\n // Put back in cache\n syncCache.put(key, value);\n }\n\n // Output content\n resp.setContentType(\"text/plain\");\n resp.getWriter().print(\"Value is \" + count + \"\\n\");\n }\n }\n\nAsynchronous usage\n------------------\n\nLow-level API example using `AsyncMemcacheService`: \n\n AsyncMemcacheService asyncCache = MemcacheServiceFactory.getAsyncMemcacheService();\n asyncCache.setErrorHandler(ErrorHandlers.getConsistentLogAndContinue(Level.INFO));\n String key = \"count-async\";\n byte[] value;\n long count = 1;\n Future\u003cObject\u003e futureValue = asyncCache.get(key); // Read from cache.\n // ... Do other work in parallel to cache retrieval.\n try {\n value = (byte[]) futureValue.get();\n if (value == null) {\n value = BigInteger.valueOf(count).toByteArray();\n asyncCache.put(key, value);\n } else {\n // Increment value\n count = new BigInteger(value).longValue();\n count++;\n value = BigInteger.valueOf(count).toByteArray();\n // Put back in cache\n asyncCache.put(key, value);\n }\n } catch (InterruptedException | ExecutionException e) {\n throw new ServletException(\"Error when waiting for future value\", e);\n }\n\nFor more information on the low-level API, see the\n[Memcache Javadoc](/appengine/docs/legacy/standard/java/javadoc/com/google/appengine/api/memcache/package-summary)."]]