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官方文档 Upgrading Elasticsearch

Upgrading Elasticsearch Before upgrading Elasticsearch: Consult thebreaking changesdocs. Use theElasticsearch Migration Pluginto detect potential issues before upgrading. Test upgrades in a dev environment before upgrading your production cluster. Alwaysback up your databefore upgrading. Youcannot roll backto an earlier version unless you have a backup of your data. If you are using custom plugins, check that a compatible version is available. Elasticsearch can usually be upgraded using a rolling upgrade process, resulting in no interruption of service. This section details how to perform both rolling upgrades and upgrades with full cluster restarts. To determine whether a rolling upgrade is supported for your release, please consult this table: Upgrade From Upgrade To Supported Upgrade Type 1.x 5.x Reindex to upgrade 2.x 2.y Rolling upgrade(wherey > x) 2.x 5.x Full cluster restart 5.0.0 pre GA 5.x Full cluster restart 5.x 5.y Rolling upgrade(wherey > x) Indices created in Elasticsearch 1.x or before Elasticsearch is able to read indices created in theprevious major version only. For instance, Elasticsearch 5.x can use indices created in Elasticsearch 2.x, but not those created in Elasticsearch 1.x or before. This condition also applies to indices backed up withsnapshot and restore. If an index was originally created in 1.x, it cannot be restored into a 5.x cluster even if the snapshot was made by a 2.x cluster. Elasticsearch 5.x nodes will fail to start in the presence of too old indices. SeeReindex to upgradefor more information about how to upgrade old indices. !!!回滚升级就是一次升级一个节点!!!! A rolling upgrade allows the Elasticsearch cluster to be upgraded one node at a time, with no downtime for end users. Running multiple versions of Elasticsearch in the same cluster for any length of time beyond that required for an upgrade is not supported, as shards will not be replicated from the more recent version to the older version. Reindex to upgrade Elasticsearch is able to use indices created in the previous major version only. For instance, Elasticsearch 5.x can use indices created in Elasticsearch 2.x, but not those created in Elasticsearch 1.x or before. Elasticsearch 5.x nodes will fail to start in the presence of too old indices. If you are running an Elasticsearch 2.x cluster which contains indices that were created before 2.x, you will either need to delete those old indices or to reindex them before upgrading to 5.x. SeeReindex in place. If you are running an Elasticsearch 1.x cluster, you have two options: First upgrade to Elasticsearch 2.4.x, reindex the old indices, then upgrade to 5.x. SeeReindex in place. Create a new 5.x cluster and use reindex-from-remote to import indices directly from the 1.x cluster. SeeUpgrading with reindex-from-remote. Reindex in place The easiest way to reindex old (1.x) indices in place is to use theElasticsearch Migration Plugin. You will need to upgrade to Elasticsearch 2.3.x or 2.4.x first. Upgrading with reindex-from-remote If you are running a 1.x cluster and would like to migrate directly to 5.x without first migrating to 2.x, you can do so usingreindex-from-remote. 转自:https://www.elastic.co/guide/en/elasticsearch/reference/current/setup-upgrade.html#setup-upgrade 本文转自张昺华-sky博客园博客,原文链接:http://www.cnblogs.com/bonelee/p/7443844.html,如需转载请自行联系原作者

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Frida JAVA API 文档

Java Java.available: a boolean specifying whether the current process has the a Java VM loaded, i.e. Dalvik or ART. Do not invoke any other Java properties or methods unless this is the case. Java.enumerateLoadedClasses(callbacks) enumerate classes loaded right now, where callbacks is an object specifying: onMatch: function (className): called for each loaded class with className that may be passed to use() to get a JavaScript wrapper. onComplete: function (): called when all classes have been enumerated. Java.enumerateLoadedClassesSync(): synchronous version of enumerateLoadedClasses() that returns the class names in an array. Java.perform(fn): ensure that the current thread is attached to the VM and call fn. (This isn’t necessary in callbacks from Java.) Java.perform(function () { var Activity = Java.use("android.app.Activity"); Activity.onResume.implementation = function () { send("onResume() got called! Let's call the original implementation"); this.onResume(); }; }); Java.use(className) dynamically get a JavaScript wrapper for className that you can instantiate objects from by calling $new() on it to invoke a constructor. Call $dispose() on an instance to clean it up explicitly (or wait for the JavaScript object to get garbage-collected, or script to get unloaded). Static and non-static methods are available, and you can even replace a method implementation and throw an exception from it: Java.perform(function () { var Activity = Java.use("android.app.Activity"); var Exception = Java.use("java.lang.Exception"); Activity.onResume.implementation = function () { throw Exception.$new("Oh noes!"); }; }); Java.scheduleOnMainThread(fn): run fn on the main thread of the VM. Java.choose(className, callbacks): enumerate live instances of the className class by scanning the Java heap, where callbacks is an object specifying: onMatch: function (instance): called once for each live instance found with a ready-to-use instance just as if you would have called Java.cast() with a raw handle to this particular instance. This function may return the string stop to cancel the enumeration early. onComplete: function (): called when all instances have been enumerated Java.cast(handle, klass): create a JavaScript wrapper given the existing instance at handle of given class klass (as returned from Java.use()). Such a wrapper also has a class property for getting a wrapper for its class, and a $className property for getting a string representation of its class-name. var Activity = Java.use("android.app.Activity"); var activity = Java.cast(ptr("0x1234"), Activity); WeakRef WeakRef.bind(value, fn): monitor value and call the fn callback as soon as value has been garbage-collected, or the script is about to get unloaded. Returns an id that you can pass to WeakRef.unbind() for explicit cleanup. This API is useful if you’re building a language-binding, where you need to free native resources when a JS value is no longer needed. WeakRef.unbind(id): stop monitoring the value passed to WeakRef.bind(value, fn), and call the fn callback immediately.

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