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Posted to commits@geode.apache.org by db...@apache.org on 2016/10/06 20:02:18 UTC
[37/51] [partial] incubator-geode git commit: Set aside hibernate
cache docs until the corresponding code is mainstreamed.
http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/84cfbdfc/geode-docs/developing/transactions/transactional_and_nontransactional_ops.html.md.erb
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----
-title: Comparing Transactional and Non-Transactional Operations
----
-
-<!--
-Licensed to the Apache Software Foundation (ASF) under one or more
-contributor license agreements. See the NOTICE file distributed with
-this work for additional information regarding copyright ownership.
-The ASF licenses this file to You under the Apache License, Version 2.0
-(the "License"); you may not use this file except in compliance with
-the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-
-
-Between the begin operation and the commit or rollback operation are a series of ordinary Geode operations. When they are launched from within a transaction, the Geode operations can be classified into two types:
-
-- Transactional operations affect the transactional view
-- Non-transactional operations do not affect the transactional view
-
-An operation that acts directly on the cache does not usually act on the transactional view.
-
-- **[Transactional Operations](#transactional_operations)**
-
-- **[Non-Transactional Operations](#non_transactional_operations)**
-
-- **[Entry Operations](#entry_operations)**
-
-- **[Region Operations](#region_operations)**
-
-- **[Cache Operations](#cache_operations)**
-
-- **[No-Ops](#no-ops)**
-
-## <a id="transactional_operations" class="no-quick-link"></a>Transactional Operations
-
-The `CacheTransactionManager` methods are the only ones used specifically for cache operations. Otherwise, you use the same methods as usual. Most methods that run within a transaction affect the transactional view, and they do not change the cache until the transaction commits. Methods that behave this way are considered transactional operations. Transactional operations are classified in two ways: whether they modify the transactional view or the cache itself, and whether they create write conflicts with other transactions.
-
-In general, methods that create, destroy, invalidate, update, or read region entries are transactional operations.
-
-Transactional operations that can cause write conflicts are those that modify an entry, such as put, a load done to satisfy a get operation, create, delete, local delete, invalidate and local invalidate.
-
-Transactional read operations do not cause conflicts directly, but they can modify the transactional view. Read operations look for the entry in the transaction view first and then, if necessary, go to the cache. If the entry is returned by a cache read, it is stored as part of the transactional view. At commit time, the transaction uses the initial snapshot of the entry in the view to discover write conflicts.
-
-## <a id="non_transactional_operations" class="no-quick-link"></a>Non-Transactional Operations
-
-A few methods, when invoked within a transaction, have no effect on the transactional view, but they have an immediate effect on the cache. They are considered non-transactional operations. Often, non-transactional operations are administrative, such as `Region.destroy` and `Region.invalidate`. These operations are not supported within a transaction. If you call them, the system throws an exception of type `UnsupportedOperationInTransactionException`.
-
-## <a id="entry_operations" class="no-quick-link"></a>Entry Operations
-
-**Note:**
-Transactional entry operations can be rolled back.
-
-| Operations | Methods | Transactional | Write Conflict |
-|--------------------------------------|----------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------|----------------|
-| create | `Region.create, put, putAll, Map.put, putAll` | yes | yes |
-| modify | `Region.put, putAll, Map.put, putAll, Region.Entry.setValue, Map.Entry.setValue` | yes | yes |
-| load | `Region.get, Map.get` | yes | yes |
-| creation or update using `netSearch` | `Region.get, Map.get` | yes | no |
-| destroy: local and distributed | `Region.localDestroy, destroy, remove, Map.remove` | yes | yes |
-| invalidate: local and distributed | `Region.localInvalidate, invalidate` | yes | yes |
-| set user attribute | `Region.Entry.setUserAttribute` | yes | yes |
-| read of a single entry | `Region.get, getEntry, containsKey, containsValue, containsValueForKey` | yes | no |
-| read of a collection of entries | `Region.keySet, entrySet, values` | Becomes transactional when you access the keys or values within the collection. | no |
-
-Some transactional write operations also do a read before they write, and these can complete a transactional read even when the write fails. The following table of entry operations notes the conditions under which this can happen.
-
-**Note:**
-These operations can add a snapshot of an entry to the transaction\u2019s view even when the write operation does not succeed.
-
-| Operations | Methods | Reads Without Writing |
-|-----------------------------------|--------------------------------------|---------------------------------------------------------------------------|
-| create | `Region.create` | when it throws an `EntryExistsException` |
-| destroy: local and distributed | `Region.localDestroy, destroy` | when it throws an `EntryNotFoundException` |
-| invalidate: local and distributed | `Region.localInvalidate, invalidate` | when it throws an `EntryNotFoundException`or the entry is already invalid |
-
-## <a id="region_operations" class="no-quick-link"></a>Region Operations
-
-When you create a region in a transaction, any data from the getInitialImage operation goes directly into the cache, rather than waiting for the transaction to commit.
-
-| Operations | Methods | Affected | Write Conflict |
-|-----------------------------------|--------------------------------------------------|-----------------------|----------------|
-| destroy: local and distributed | `Region.localDestroyRegion, destroyRegion` | cache | yes |
-| invalidate: local and distributed | `Region.localInvalidateRegion, invalidateRegion` | cache | yes |
-| clear: local and distributed | `Region.localClear, clear, Map.clear` | cache and transaction | no |
-| close | `Region.close` | cache | yes |
-| mutate attribute | `Region.getAttributesMutator` methods | cache | no |
-| set user attribute | `Region.setUserAttribute` | cache | no |
-
-## <a id="cache_operations" class="no-quick-link"></a>Cache Operations
-
-When you create a region in a transaction, any data from the getInitialImage operation goes directly into the cache, rather than waiting for the transaction to commit.
-
-| Operations | Methods | Affected State | Write Conflict |
-|------------|----------------------------------|----------------|----------------|
-| create | `createRegionFactory().create()` | committed | no |
-| close | `close` | committed | yes |
-
-## <a id="no-ops" class="no-quick-link"></a>No-Ops
-
-Any operation that has no effect in a non-transactional context remains a no-op in a transactional context. For example, if you do two `localInvalidate` operations in a row on the same region, the second `localInvalidate` is a no-op. No-op operations do not:
-
-- Cause a listener invocation
-- Cause a distribution message to be sent to other members
-- Cause a change to an entry
-- Cause any conflict
-
-A no-op can do a transactional read.
-
-
http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/84cfbdfc/geode-docs/developing/transactions/transactional_function_example.html.md.erb
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----
-title: Transaction Embedded within a Function Example
----
-
-<!--
-Licensed to the Apache Software Foundation (ASF) under one or more
-contributor license agreements. See the NOTICE file distributed with
-this work for additional information regarding copyright ownership.
-The ASF licenses this file to You under the Apache License, Version 2.0
-(the "License"); you may not use this file except in compliance with
-the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-
-This example demonstrates a function that does transactional updates to Customer and Order regions.
-
-<a id="concept_22331B3DBFAB4C0BA95EF103BFB71257__section_73662C16E0BF4E4780F737C45DBD3137"></a>
-
-``` pre
-/**
- * This function does transactional updates to customer and order regions
- */
-public class TransactionalFunction extends FunctionAdapter {
-
- private Random random = new Random();
- /* (non-Javadoc)
- * @see org.apache.geode.cache.execute.FunctionAdapter#execute(org.apache.geode.cache.execute.FunctionContext)
- */
- @Override
- public void execute(FunctionContext context) {
- RegionFunctionContext rfc = (RegionFunctionContext)context;
- Region<CustomerId, String> custRegion = rfc.getDataSet();
- Region<OrderId, String>
- orderRegion = custRegion.getRegionService().getRegion("order");
-
- CacheTransactionManager
- mgr = CacheFactory.getAnyInstance().getCacheTransactionManager();
- CustomerId custToUpdate = (CustomerId)rfc.getFilter().iterator().next();
- OrderId orderToUpdate = (OrderId)rfc.getArguments();
- System.out.println("Starting a transaction...");
- mgr.begin();
- int randomInt = random.nextInt(1000);
- System.out.println("for customer region updating "+custToUpdate);
- custRegion.put(custToUpdate,
- "updatedCustomer_"+custToUpdate.getCustId()+"_"+randomInt);
- System.out.println("for order region updating "+orderToUpdate);
- orderRegion.put(orderToUpdate,
- "newOrder_"+orderToUpdate.getOrderId()+"_"+randomInt);
- mgr.commit();
- System.out.println("transaction completed");
- context.getResultSender().lastResult(Boolean.TRUE);
- }
-
- /* (non-Javadoc)
- * @see org.apache.geode.cache.execute.FunctionAdapter#getId()
- */
- @Override
- public String getId() {
- return "TxFunction";
- }
-
-}
-```
-
-
http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/84cfbdfc/geode-docs/developing/transactions/transactions_overview.html.md.erb
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----
-title: Basic Transaction Example
----
-
-<!--
-Licensed to the Apache Software Foundation (ASF) under one or more
-contributor license agreements. See the NOTICE file distributed with
-this work for additional information regarding copyright ownership.
-The ASF licenses this file to You under the Apache License, Version 2.0
-(the "License"); you may not use this file except in compliance with
-the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-
-This example operates on two replicated regions. It begins a transaction, updates one entry in each region, and commits the result.
-
-<a id="concept_F8D96C21C8444F99B47909CDEB86E60A__section_B6818C348224456387DEC5C9D3B5F250"></a>
-If the commit fails, it will be due to a `CommitConflictException`, which implies that a concurrent access caused a change to one of the items operated on within this transaction. This code fragment catches the exception, and it repeats the transaction attempt until the commit succeeds.
-
-``` pre
-Cache c = new CacheFactory().create();
-
-Region<String, Integer> cash = c.createRegionFactory<String, Integer>()
- .setDataPolicy(DataPolicy.REPLICATE)
- .create("cash");
-
-Region<String, Integer> trades = c.createRegionFactory<String, Integer>()
- .setDataPolicy(DataPolicy.REPLICATE)
- .create("trades");
-
-CacheTransactionManager txmgr = c.getCacheTransactionManager();
-boolean commitConflict = false;
-do {
- try {
- txmgr.begin();
- final String customer = "Customer1";
- final Integer purchase = Integer.valueOf(1000);
- // Decrement cash
- Integer cashBalance = cash.get(customer);
- Integer newBalance =
- Integer.valueOf((cashBalance != null ? cashBalance : 0)
- - purchase);
- cash.put(customer, newBalance);
- // Increment trades
- Integer tradeBalance = trades.get(customer);
- newBalance =
- Integer.valueOf((tradeBalance != null ? tradeBalance : 0)
- + purchase);
-
- trades.put(customer, newBalance);
- txmgr.commit();
- commitConflict = false;
- }
- catch (CommitConflictException conflict) {
- commitConflict = true;
- }
-} while (commitConflict);
-```
-
-
http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/84cfbdfc/geode-docs/developing/transactions/turning_off_jta.html.md.erb
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----
-title: Turning Off JTA Transactions
----
-
-<!--
-Licensed to the Apache Software Foundation (ASF) under one or more
-contributor license agreements. See the NOTICE file distributed with
-this work for additional information regarding copyright ownership.
-The ASF licenses this file to You under the Apache License, Version 2.0
-(the "License"); you may not use this file except in compliance with
-the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-
-You can configure regions to not participate in any JTA global transaction.
-
-The `ignore-jta` region attribute is a boolean that tells the cache to ignore any in-progress JTA transactions when performing cache operations. It is primarily used for cache loaders, cache writers, and cache listeners that need to perform non-transactional operations on a region, such as caching a result set. It is set per region, so some regions can participate in JTA transactions, while others avoid participating in them. This example sets the `ignore-jta` region attribute in the `cache.xml` file.
-
-cache.xml:
-
-``` pre
-<region name="bridge_region">
- <region-attributes scope="local" ignore-jta="true" statistics-enabled="true"/>
- <cache-writer> . . . </cache-writer>
- </region-attributes>
-</region>
-```
-
-API:
-
-Using the API, you can turn off JTA transactions using `RegionFactory` and its method `setIgnoreJTA(boolean)`. The current setting for a region can be fetched from a region's `RegionAttributes` by using the `getIgnoreJTA` method.
-
-
http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/84cfbdfc/geode-docs/developing/transactions/working_with_transactions.html.md.erb
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----
-title: Working with Geode Cache Transactions
----
-
-<!--
-Licensed to the Apache Software Foundation (ASF) under one or more
-contributor license agreements. See the NOTICE file distributed with
-this work for additional information regarding copyright ownership.
-The ASF licenses this file to You under the Apache License, Version 2.0
-(the "License"); you may not use this file except in compliance with
-the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-<a id="topic_tx2_gs4_5k"></a>
-
-
-This section contains guidelines and additional information on working with Geode and its cache transactions.
-
-- **[Setting Global Copy on Read](#concept_vx2_gs4_5k)**
-
-- **[Making a Safe Change Within a Transaction Using CopyHelper.copy](#concept_fdr_wht_vk)**
-
-- **[Transactions and Functions](#concept_ihn_zmt_vk)**
-
-- **[Using Queries and Indexes with Transactions](#concept_ty1_vnt_vk)**
-
-- **[Collections and Region.Entry Instances in Transactions](#concept_ksh_twz_vk)**
-
-- **[Using Eviction and Expiration Operations](#concept_vyt_txz_vk)**
-
-- **[Transactions and Consistent Regions](#transactions_and_consistency)**
-
-- **[Suspending and Resuming Transactions](#concept_u5b_ryz_vk)**
-
-- **[Using Cache Writer and Cache Listener Plug-Ins](#concept_ysx_nf1_wk)**
-
-- **[Configuring Transaction Plug-In Event Handlers](#concept_ocw_vf1_wk)**
-
-- **[How Transaction Events Are Managed](transaction_event_management.html)**
-
-## <a id="concept_vx2_gs4_5k" class="no-quick-link"></a>Setting Global Copy on Read
-
-As many entry operations return a reference to the cache entry, copy-on-read avoids problems within a transaction setting. To enable global copy-on-read for all reads, modify the `cache.xml` file or use the corresponding Java API call.
-
-Using cache.xml:
-
-``` pre
-<cache lock-lease="120" lock-timeout="60" search-timeout="300" copy-on-read="true">
-```
-
-API:
-
-``` pre
-Cache c = CacheFactory.getInstance(system);
- c.setCopyOnRead(true);
-```
-
-The copy-on-read attribute and the operations affected by the attribute setting are discussed in detail in [Managing Data Entries](../../basic_config/data_entries_custom_classes/managing_data_entries.html).
-
-## Making a Safe Change Within a Transaction Using CopyHelper.copy
-
-If `copy-on-read` is *not* globally set, and the cache uses replicated regions, explicitly make copies of the cache objects that are to be modified within a transaction. The `CopyHelper.copy` method makes copies:
-
-``` pre
-CacheTransactionManager cTxMgr = cache.getCacheTransactionManager();
-cTxMgr.begin();
-Object o = (StringBuffer) r.get("stringBuf");
-StringBuffer s = (StringBuffer) CopyHelper.copy(o);
-s.append("Changes unseen before commit. Read Committed.");
-r.put("stringBuf", s);
-cTxMgr.commit();
-```
-
-## Transactions and Functions
-
-You can run a function from inside a transaction and you can nest a transaction within a function, as long as your combination of functions and transactions does not result in nested transactions. See [Function Execution](../function_exec/chapter_overview.html) for more about functions.
-
-A single transaction may contain multiple functions.
-
-If you are suspending and resuming a transaction with multiple function calls, all functions in the transaction must execute on the same member.
-
-See [Transaction Embedded within a Function Example](transactional_function_example.html#concept_22331B3DBFAB4C0BA95EF103BFB71257) for an example.
-
-## Using Queries and Indexes with Transactions
-
-Queries and indexes reflect the cache contents and ignore the changes made by ongoing transactions. If you do a query from inside a transaction, the query does not reflect the changes made inside that transaction.
-
-## Collections and Region.Entry Instances in Transactions
-
-Collections and region entries used in a transaction must be created inside the transaction. After the transaction has completed, the application can no longer use any region entry or collection or associated iterator created within the transaction. An attempted use outside of the transaction will throw an `IllegalStateException` exception.
-
-Region collection operations include `Region.keySet`, `Region.entrySet`, and `Region.values`. You can create instances of `Region.Entry` through the `Region.getEntry` operation or by looking at the contents of the result returned by a `Region.entrySet` operation.
-
-## Using Eviction and Expiration Operations
-
-Entry expiration and LRU eviction affect the committed state. They are not part of a transaction, and therefore they cannot be rolled back.
-
-## About Eviction
-
-LRU eviction operations do not cause write conflicts with existing transactions, despite destroying or invalidating entries. LRU eviction is deferred on entries modified by the transaction until the commit completes. Because anything touched by the transaction has had its LRU clock reset, eviction of those entries is not likely to happen immediately after the commit.
-
-When a transaction commits its changes in a region with distributed scope, the operation can invoke eviction controllers in the remote caches, as well as in the local cache.
-
-## Configure Expiration
-
-Local expiration actions do not cause write conflicts, but distributed expiration can cause conflicts and prevent transactions from committing in the members receiving the distributed operation.
-
-- When you are using transactions on local, preloaded or empty regions, make expiration local if possible. For every instance of that region, configure an expiration action of local invalidate or local destroy. In a cache.xml declaration, use a line similar to this:
-
- ``` pre
- <expiration-attributes timeout="60" action="local-invalidate" />
- ```
-
- In regions modified by a transaction, local expiration is suspended. Expiration operations are batched and deferred per region until the transaction completes. Once cleanup starts, the manager processes pending expirations. Transactions that need to change the region wait until the expirations are complete.
-
-- With partitioned and replicated regions, you cannot use local expiration. When you are using distributed expiration, the expiration is not suspended during a transaction, and expiration operations distributed from another member can cause write conflicts. In replicated regions, you can avoid conflicts by setting up your distributed system this way:
- - Choose an instance of the region to drive region-wide expiration. Use a replicated region, if there is one.
- - Configure distributed expiration only in that region instance. The expiration action must be either invalidate or destroy. In a `cache.xml` file declaration, use a line similar to this:
-
- ``` pre
- <expiration-attributes timeout="300" action="destroy" />
- ```
-
- - Run the transactions from the member in which expiration is configured.
-
-## Transactions and Consistent Regions
-
-A transaction that modifies a region in which consistency checking is enabled generates all necessary version information for region updates when the transaction commits.
-
-If a transaction modifies a normal, preloaded or empty region, the transaction is first delegated to a Geode member that holds a replicate for the region. This behavior is similar to the transactional behavior for partitioned regions, where the partitioned region transaction is forwarded to a member that hosts the primary for the partitioned region update.
-
-The limitation for transactions with a normal, preloaded or empty region is that, when consistency checking is enabled, a transaction cannot perform a `localDestroy` or `localInvalidate` operation against the region. Geode throws an `UnsupportedOperationInTransactionException` exception in such cases. An application should use a `Destroy` or `Invalidate` operation in place of a `localDestroy` or `localInvalidate` when consistency checks are enabled.
-
-## Suspending and Resuming Transactions
-
-The Geode `CacheTransactionManager` API provides the ability to suspend and resume transactions with the `suspend` and `resume` methods. The ability to suspend and resume is useful when a thread must perform some operations that should not be part of the transaction before the transaction can complete. A complex use case of suspend and resume implements a transaction that spans clients in which only one client at a time will not be suspended.
-
-Once a transaction is suspended, it loses the transactional view of the cache. None of the operations done within the transaction are visible to the thread. Any operations that are performed by the thread while the transaction is suspended are not part of the transaction.
-
-When a transaction is resumed, the resuming thread assumes the transactional view. A transaction that is suspended on a member must be resumed on the same member.
-
-Before resuming a transaction, you may want to check if the transaction exists on the member and whether it is suspended. The `tryResume` method implements this check and resume as an atomic step.
-
-If the member with the primary copy of the data crashes, the transactional view associated with that data is lost. The secondary member for the data will not be able to resume any transactions suspended on the crashed member. You will need to take remedial steps to retry the transaction on a new primary copy of the data.
-
-If a suspended transaction is not touched for a period of time, Geode cleans it up automatically. By default, the timeout for a suspended transaction is 30 minutes and can be configured using the system property `gemfire.suspendedtxTimeout`. For example, `gemfire.suspendedtxTimeout=60` specifies a timeout of 60 minutes.
-
-See [Basic Suspend and Resume Transaction Example](transaction_suspend_resume_example.html) for a sample code fragment that suspends and resumes a transaction.
-
-## Using Cache Writer and Cache Listener Plug-Ins
-
-All standard Geode application plug-ins work with transactions. In addition, the transaction interface offers specialized plug-ins that support transactional operation.
-
-No direct interaction exists between client transactions and client application plug-ins. When a client runs a transaction, Geode calls the plug-ins that are installed on the transaction's server delegate and its server host. Client application plug-ins are not called for operations inside the transaction or for the transaction as a whole. When the transaction is committed, the changes to the server cache are sent to the client cache according to client interest registration. These events can result in calls to the client's `CacheListener`s, as with any other events received from the server.
-
-The `EntryEvent` that a callback receives has a unique Geode transaction ID, so the cache listener can associate each event, as it occurs, with a particular transaction. The transaction ID of an `EntryEvent` that is not part of a transaction is null to distinguish it from a transaction ID.
-
-- `CacheLoader`. When a cache loader is called by a transaction operation, values loaded by the cache loader may cause a write conflict when the transaction commits.
-- `CacheWriter`. During a transaction, if a cache writer exists, its methods are invoked as usual for all operations, as the operations are called in the transactions. The `netWrite` operation is not used. The only cache writer used is the one in the member where the transactional data resides.
-- `CacheListener`. The cache listener callbacks - local and remote - are triggered after the transaction commits. The system sends the conflated transaction events, in the order they were stored.
-
-For more information on writing cache event handlers, see [Implementing Cache Event Handlers](../events/implementing_cache_event_handlers.html).
-
-## <a id="concept_ocw_vf1_wk" class="no-quick-link"></a>Configuring Transaction Plug-In Event Handlers
-
-Geode has two types of transaction plug-ins: Transaction Writers and Transaction Listeners. You can optionally install one transaction writer and one or more transaction listeners per cache.
-
-Like JTA global transactions, you can use transaction plug-in event handlers to coordinate Geode cache transaction activity with an external data store. However, you typically use JTA global transactions when Geode is running as a peer data store with your external data stores. Transaction writers and listeners are typically used when Geode is acting as a front end cache to your backend database.
-
-**Note:**
-You can also use transaction plug-in event handlers when running JTA global transactions.
-
-## TransactionWriter
-
-When you commit a transaction, if a transaction writer is installed in the cache where the data updates were performed, it is called. The writer can do whatever work you need, including aborting the transaction.
-
-The transaction writer is the last place that an application can rollback a transaction. If the transaction writer throws any exception, the transaction is rolled back. For example, you might use a transaction writer to update a backend data source before the Geode cache transaction completes the commit. If the backend data source update fails, the transaction writer implementation can throw a [TransactionWriterException](/releases/latest/javadoc/org/apache/geode/cache/TransactionWriterException.html) to veto the transaction.
-
-A typical usage scenario would be to use the transaction writer to prepare the commit on the external database. Then in a transaction listener, you can apply the commit on the database.
-
-## Transaction Listeners
-
-When the transaction ends, its thread calls the transaction listener to perform the appropriate follow-up for successful commits, failed commits, or voluntary rollbacks. The transaction that caused the listener to be called no longer exists by the time the listener code executes.
-
-Transaction listeners have access to the transactional view and thus are not affected by non-transactional update operations. `TransactionListener` methods cannot make transactional changes or cause a rollback. They can, however, start a new transaction. Multiple transactions on the same cache can cause concurrent invocation of `TransactionListener` methods, so implement methods that do the appropriate synchronization of the multiple threads for thread-safe operation.
-
-A transaction listener can preserve the result of a transaction, perhaps to compare with other transactions, or for reference in case of a failed commit. When a commit fails and the transaction ends, the application cannot just retry the transaction, but must build up the data again. For most applications, the most efficient action is just to start a new transaction and go back through the application logic again.
-
-The rollback and failed commit operations are local to the member where the transactional operations are run. When a successful commit writes to a distributed or partitioned region, however, the transaction results are distributed to other members the same as other updates. The transaction listener on the receiving members reflect the changes the transaction makes in that member, not the originating member. Any exceptions thrown by the transaction listener are caught by Geode and logged.
-
-To configure a transaction listener, add a `cache-transaction-manager` configuration to the cache definition and define one or more instances of `transaction-listener` there. The only parameter to this `transaction-listener` is `URL`, which must be a string, as shown in the following cache.xml example.
-
-**Note:**
-The `cache-transaction-manager` allows listeners to be established. This attribute does not install a different transaction manager.
-
-Using cache.xml:
-
-``` pre
-<cache search-timeout="60">
- <cache-transaction-manager>
- <transaction-listener>
- <class-name>com.company.data.MyTransactionListener</class-name>
- <parameter name="URL">
- <string>jdbc:cloudscape:rmi:MyData</string>
- </parameter>
- </transaction-listener>
- <transaction-listener>
- . . .
- </transaction-listener>
- </cache-transaction-manager>
- . . .
- </cache>
-```
-
-Using the Java API:
-
-``` pre
-CacheTransactionManager manager = cache.getCacheTransactionManager();
-manager.addListener(new LoggingTransactionListener());
-```
-
-
http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/84cfbdfc/geode-docs/getting_started/15_minute_quickstart_gfsh.html.md.erb
----------------------------------------------------------------------
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--- a/geode-docs/getting_started/15_minute_quickstart_gfsh.html.md.erb
+++ /dev/null
@@ -1,516 +0,0 @@
----
-title: Apache Geode in 15 Minutes or Less
----
-
-<!--
-Licensed to the Apache Software Foundation (ASF) under one or more
-contributor license agreements. See the NOTICE file distributed with
-this work for additional information regarding copyright ownership.
-The ASF licenses this file to You under the Apache License, Version 2.0
-(the "License"); you may not use this file except in compliance with
-the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-<a id="topic_FE3F28ED18E145F787431EC87B676A76"></a>
-
-Need a quick introduction to Apache Geode? Take this brief tour to try out basic features and functionality.
-
-## <a id="topic_FE3F28ED18E145F787431EC87B676A76__section_ECE5170BAD9B454E875F13BEB5762DDD" class="no-quick-link"></a>Step 1: Install Apache Geode.
-
-See [How to Install](installation/install_standalone.html#concept_0129F6A1D0EB42C4A3D24861AF2C5425) for instructions.
-
-## <a id="topic_FE3F28ED18E145F787431EC87B676A76__section_582F8CBBD99D42F1A55C07591E2E9E9E" class="no-quick-link"></a>Step 2: Use gfsh to start a Locator.
-
-In a terminal window, use the `gfsh` command line interface to start up a locator. Apache Geode *gfsh* (pronounced "jee-fish") provides a single, intuitive command-line interface from which you can launch, manage, and monitor Apache Geode processes, data, and applications. See [gfsh (Geode SHell)](../tools_modules/gfsh/chapter_overview.html).
-
-The *locator* is a Geode process that tells new, connecting members where running members are located and provides load balancing for server use. A locator, by default, starts up a JMX Manager, which is used for monitoring and managing of a Geode cluster. The cluster configuration service uses locators to persist and distribute cluster configurations to cluster members. See [Running Geode Locator Processes](../configuring/running/running_the_locator.html) and [Overview of the Cluster Configuration Service](../configuring/cluster_config/gfsh_persist.html).
-
-1. Create a scratch working directory (for example, `my_gemfire`) and change directories into it. `gfsh` saves locator and server working directories and log files in this location.
-2. Start gfsh by typing `gfsh` at the command line (or `gfsh.bat` if you are using Windows).
-
- ``` pre
- _________________________ __
- / _____/ ______/ ______/ /____/ /
- / / __/ /___ /_____ / _____ /
- / /__/ / ____/ _____/ / / / /
- /______/_/ /______/_/ /_/ v8.2.0
-
- Monitor and Manage GemFire
- gfsh>
- ```
-
-3. At the `gfsh` prompt, type:
-
- ``` pre
- gfsh>start locator --name=locator1
- Starting a GemFire Locator in /home/username/my_gemfire/locator1...
- .................................
- Locator in /home/username/my_gemfire/locator1 on ubuntu.local[10334] as locator1 is currently online.
- Process ID: 3529
- Uptime: 18 seconds
- GemFire Version: 8.2.0
- Java Version: 1.8.0_60
- Log File: /home/username/my_gemfire/locator1/locator1.log
- JVM Arguments: -Dgemfire.enable-cluster-configuration=true -Dgemfire.load-cluster-configuration-from-dir=false
- -Dgemfire.launcher.registerSignalHandlers=true -Djava.awt.headless=true
- -Dsun.rmi.dgc.server.gcInterval=9223372036854775806
- Class-Path: /home/username/Pivotal_GemFire_820_b17919_Linux/lib/gemfire.jar:
- /home/username/Pivotal_GemFire_820_b17919_Linux/lib/locator-dependencies.jar
-
- Successfully connected to: [host=ubuntu.local, port=1099]
-
- Cluster configuration service is up and running.
- ```
-
-## <a id="topic_FE3F28ED18E145F787431EC87B676A76__section_02C79BFFB5334E78A5856AE1EB1F1F84" class="no-quick-link"></a>Step 3. Start Pulse.
-
-Start up the browser-based Pulse monitoring tool. Pulse is a Web Application that provides a graphical dashboard for monitoring vital, real-time health and performance of Geode clusters, members, and regions. See [Geode Pulse](../tools_modules/pulse/chapter_overview.html).
-
-``` pre
-gfsh>start pulse
-```
-
-This command launches Pulse and automatically connects you to the JMX Manager running in the Locator. At the Pulse login screen, type in the default username `admin` and password `admin`.
-
-The Pulse application now displays the locator you just started (locator1):
-
-<img src="../images/pulse_locator.png" id="topic_FE3F28ED18E145F787431EC87B676A76__image_ign_ff5_t4" class="image" />
-
-## <a id="topic_FE3F28ED18E145F787431EC87B676A76__section_C617BC1C70EB41B8BCA3691D6E3C891A" class="no-quick-link"></a>Step 4: Start a server.
-
-A Geode server is a process that runs as a long-lived, configurable member of a cluster (also called a *distributed system*). The Geode server is used primarily for hosting long-lived data regions and for running standard Geode processes such as the server in a client/server configuration. See [Running Geode Server Processes](../configuring/running/running_the_cacheserver.html).
-
-Start the cache server:
-
-``` pre
-gfsh>start server --name=server1 --server-port=40411
-
-```
-
-This commands starts a cache server named "server1" on the specified port of 40411.
-
-Observe the changes (new member and server) in Pulse. Try expanding the distributed system icon to see the locator and cache server graphically.
-
-## <a id="topic_FE3F28ED18E145F787431EC87B676A76__section_3EA12E44B8394C6A9302DF4D14888AF4" class="no-quick-link"></a>Step 5: Create a replicated, persistent region.
-
-In this step you create a region with the `gfsh` command line utility. Regions are the core building blocks of the Geode cluster and provide the means for organizing your data. The region you create for this exercise employs replication to replicate data across members of the cluster and utilizes persistence to save the data to disk. See [Data Regions](../basic_config/data_regions/chapter_overview.html#data_regions).
-
-1. Create a replicated, persistent region:
-
- ``` pre
- gfsh>create region --name=regionA --type=REPLICATE_PERSISTENT
- Member | Status
- ------- | --------------------------------------
- server1 | Region "/regionA" created on "server1"
- ```
-
- Note that the region is hosted on server1.
-
-2. Use the `gfsh` command line to view a list of the regions in the cluster.
-
- ``` pre
- gfsh>list regions
- List of regions
- ---------------
- regionA
- ```
-
-3. List the members of your cluster. The locator and cache servers you started appear in the list:
-
- ``` pre
- gfsh>list members
- Name | Id
- -------- | ---------------------------------------
- locator1 | ubuntu(locator1:3529:locator)<v0>:59926
- server1 | ubuntu(server1:3883)<v1>:65390
- ```
-
-4. To view specifics about a region, type the following:
-
- ``` pre
- gfsh>describe region --name=regionA
- ..........................................................
- Name : regionA
- Data Policy : persistent replicate
- Hosting Members : server1
-
- Non-Default Attributes Shared By Hosting Members
-
- Type | Name | Value
- ------ | ---- | -----
- Region | size | 0
- ```
-
-5. In Pulse, click the green cluster icon to see all the new members and new regions that you just added to your cluster.
-
-**Note:** Keep this `gfsh` prompt open for the next steps.
-
-## Step 6: Manipulate data in the region and demonstrate persistence.
-
-Apache Geode manages data as key/value pairs. In most applications, a Java program adds, deletes and modifies stored data. You can also use gfsh commands to add and retrieve data. See [Data Commands](../tools_modules/gfsh/quick_ref_commands_by_area.html#topic_C7DB8A800D6244AE8FF3ADDCF139DCE4).
-
-1. Run the following `put` commands to add some data to the region:
-
- ``` pre
- gfsh>put --region=regionA --key="1" --value="one"
- Result : true
- Key Class : java.lang.String
- Key : 1
- Value Class : java.lang.String
- Old Value : <NULL>
-
-
- gfsh>put --region=regionA --key="2" --value="two"
- Result : true
- Key Class : java.lang.String
- Key : 2
- Value Class : java.lang.String
- Old Value : <NULL>
- ```
-
-2. Run the following command to retrieve data from the region:
-
- ``` pre
- gfsh>query --query="select * from /regionA"
-
- Result : true
- startCount : 0
- endCount : 20
- Rows : 2
-
- Result
- ------
- two
- one
- ```
-
- Note that the result displays the values for the two data entries you created with the `put` commands.
-
- See [Data Entries](../basic_config/data_entries_custom_classes/chapter_overview.html).
-
-3. Stop the cache server using the following command:
-
- ``` pre
- gfsh>stop server --name=server1
- Stopping Cache Server running in /home/username/my_gemfire/server1 on ubuntu.local[40411] as server1...
- Process ID: 3883
- Log File: /home/username/my_gemfire/server1/server1.log
- ....
- ```
-
-4. Restart the cache server using the following command:
-
- ``` pre
- gfsh>start server --name=server1 --server-port=40411
- ```
-
-5. Run the following command to retrieve data from the region again-- notice that the data is still available:
-
- ``` pre
- gfsh>query --query="select * from /regionA"
-
- Result : true
- startCount : 0
- endCount : 20
- Rows : 2
-
- Result
- ------
- two
- one
- ```
-
- Because regionA uses persistence, it writes a copy of the data to disk. When a server hosting regionA starts, the data is populated into the cache. Note that the result displays the values for the two data entries you created prior to stopping the server with the `put` commands.
-
- See [Data Entries](../basic_config/data_entries_custom_classes/chapter_overview.html).
-
- See [Data Regions](../basic_config/data_regions/chapter_overview.html#data_regions).
-
-## Step 7: Examine the effects of replication.
-
-In this step, you start a second cache server. Because regionA is replicated, the data will be available on any server hosting the region.
-
-See [Data Regions](../basic_config/data_regions/chapter_overview.html#data_regions).
-
-1. Start a second cache server:
-
- ``` pre
- gfsh>start server --name=server2 --server-port=40412
- ```
-
-2. Run the `describe region` command to view information about regionA:
-
- ``` pre
- gfsh>describe region --name=regionA
- ..........................................................
- Name : regionA
- Data Policy : persistent replicate
- Hosting Members : server1
- server2
-
- Non-Default Attributes Shared By Hosting Members
-
- Type | Name | Value
- ------ | ---- | -----
- Region | size | 2
- ```
-
- Note that you do not need to create regionA again for server2. The output of the command shows that regionA is hosted on both server1 and server2. When gfsh starts a server, it requests the configuration from the cluster configuration service which then distributes the shared configuration to any new servers joining the cluster.
-
-3. Add a third data entry:
-
- ``` pre
- gfsh>put --region=regionA --key="3" --value="three"
- Result : true
- Key Class : java.lang.String
- Key : 3
- Value Class : java.lang.String
- Old Value : <NULL>
- ```
-
-4. Open the Pulse application (in a Web browser) and observe the cluster topology. You should see a locator with two attached servers. Click the <span class="ph uicontrol">Data</span> tab to view information about regionA.
-5. Stop the first cache server with the following command:
-
- ``` pre
- gfsh>stop server --name=server1
- Stopping Cache Server running in /home/username/my_gemfire/server1 on ubuntu.local[40411] as server1...
- Process ID: 4064
- Log File: /home/username/my_gemfire/server1/server1.log
- ....
- ```
-
-6. Retrieve data from the remaining cache server.
-
- ``` pre
- gfsh>query --query="select * from /regionA"
-
- Result : true
- startCount : 0
- endCount : 20
- Rows : 3
-
- Result
- ------
- two
- one
- three
- ```
-
- Note that the data contains 3 entries, including the entry you just added.
-
-7. Add a fourth data entry:
-
- ``` pre
- gfsh>put --region=regionA --key="4" --value="four"
- Result : true
- Key Class : java.lang.String
- Key : 3
- Value Class : java.lang.String
- Old Value : <NULL>
- ```
-
- Note that only server2 is running. Because the data is replicated and persisted, all of the data is still available. But the new data entry is currently only available on server 2.
-
- ``` pre
- gfsh>describe region --name=regionA
- ..........................................................
- Name : regionA
- Data Policy : persistent replicate
- Hosting Members : server2
-
- Non-Default Attributes Shared By Hosting Members
-
- Type | Name | Value
- ------ | ---- | -----
- Region | size | 4
- ```
-
-8. Stop the remaining cache server:
-
- ``` pre
- gfsh>stop server --name=server2
- Stopping Cache Server running in /home/username/my_gemfire/server2 on ubuntu.local[40412] as server2...
- Process ID: 4185
- Log File: /home/username/my_gemfire/server2/server2.log
- .....
- ```
-
-## Step 8: Restart the cache servers in parallel.
-
-In this step you restart the cache servers in parallel. Because the data is persisted, the data is available when the servers restart. Because the data is replicated, you must start the servers in parallel so that they can synchronize their data before starting.
-
-1. Start server1. Because regionA is replicated and persistent, it needs data from the other server to start and waits for the server to start:
-
- ``` pre
- gfsh>start server --name=server1 --server-port=40411
- Starting a GemFire Server in /home/username/my_gemfire/server1...
- ............................................................................
- ............................................................................
- ```
-
- Note that if you look in the <span class="ph filepath">server1.log</span> file for the restarted server, you will see a log message similar to the following:
-
- ``` pre
- [info 2015/01/14 09:08:13.610 PST server1 <main> tid=0x1] Region /regionA has pot
- entially stale data. It is waiting for another member to recover the latest data.
- My persistent id:
-
- DiskStore ID: 8e2d99a9-4725-47e6-800d-28a26e1d59b1
- Name: server1
- Location: /192.0.2.0:/home/username/my_gemfire/server1/.
-
- Members with potentially new data:
- [
- DiskStore ID: 2e91b003-8954-43f9-8ba9-3c5b0cdd4dfa
- Name: server2
- Location: /192.0.2.0:/home/username/my_gemfire/server2/.
- ]
- Use the "gemfire list-missing-disk-stores" command to see all disk stores that
- are being waited on by other members.
- ```
-
-2. In a second terminal window, change directories to the scratch working directory (for example, `my_gemfire`) and start gfsh:
-
- ``` pre
- [username@localhost ~/my_gemfire]$ gfsh
- _________________________ __
- / _____/ ______/ ______/ /____/ /
- / / __/ /___ /_____ / _____ /
- / /__/ / ____/ _____/ / / / /
- /______/_/ /______/_/ /_/ v8.2.0
-
- Monitor and Manage GemFire
- ```
-
-3. Run the following command to connect to the cluster:
-
- ``` pre
- gfsh>connect --locator=localhost[10334]
- Connecting to Locator at [host=localhost, port=10334] ..
- Connecting to Manager at [host=ubuntu.local, port=1099] ..
- Successfully connected to: [host=ubuntu.local, port=1099]
- ```
-
-4. Start server2:
-
- ``` pre
- gfsh>start server --name=server2 --server-port=40412
- ```
-
- When server2 starts, note that **server1 completes its start up** in the first gfsh window:
-
- ``` pre
- Server in /home/username/my_gemfire/server1 on ubuntu.local[40411] as server1 is currently online.
- Process ID: 3402
- Uptime: 1 minute 46 seconds
- GemFire Version: 8.2.0
- Java Version: 1.8.0_60
- Log File: /home/username/my_gemfire/server1/server1.log
- JVM Arguments: -Dgemfire.default.locators=192.0.2.0[10334] -Dgemfire.use-cluster-configuration=true
- -XX:OnOutOfMemoryError=kill -KILL %p -Dgemfire.launcher.registerSignalHandlers=true
- -Djava.awt.headless=true -Dsun.rmi.dgc.server.gcInterval=9223372036854775806
- Class-Path: /home/username/Pivotal_GemFire_820_b17919_Linux/lib/gemfire.jar:
- /home/username/Pivotal_GemFire_820_b17919_Linux/lib/server-dependencies.jar
- ```
-
-5. Verify that the locator and two servers are running:
-
- ``` pre
- gfsh>list members
- Name | Id
- -------- | ---------------------------------------
- server2 | ubuntu(server2:3992)<v8>:21507
- server1 | ubuntu(server1:3402)<v7>:36532
- locator1 | ubuntu(locator1:2813:locator)<v0>:46644
- ```
-
-6. Run a query to verify that all the data you entered with the `put` commands is available:
-
- ``` pre
- gfsh>query --query="select * from /regionA"
-
- Result : true
- startCount : 0
- endCount : 20
- Rows : 5
-
- Result
- ------
- one
- two
- four
- Three
-
- NEXT_STEP_NAME : END
- ```
-
-7. Stop server2 with the following command:
-
- ``` pre
- gfsh>stop server --dir=server2
- Stopping Cache Server running in /home/username/my_gemfire/server2 on 192.0.2.0[40412] as server2...
- Process ID: 3992
- Log File: /home/username/my_gemfire/server2/server2.log
- ....
- ```
-
-8. Run a query to verify that all the data you entered with the `put` commands is still available:
-
- ``` pre
- gfsh>query --query="select * from /regionA"
-
- Result : true
- startCount : 0
- endCount : 20
- Rows : 5
-
- Result
- ------
- one
- two
- four
- Three
-
- NEXT_STEP_NAME : END
- ```
-
-## <a id="topic_FE3F28ED18E145F787431EC87B676A76__section_E417BEEC172B4E96A92A61DC7601E572" class="no-quick-link"></a>Step 9: Shut down the system including your locators.
-
-To shut down your cluster, do the following:
-
-1. In the current `gfsh` session, stop the cluster:
-
- ``` pre
- gfsh>shutdown --include-locators=true
- ```
-
- See [shutdown](../tools_modules/gfsh/command-pages/shutdown.html).
-
-2. When prompted, type 'Y' to confirm the shutdown of the cluster.
-
- ``` pre
- As a lot of data in memory will be lost, including possibly events in queues,
- do you really want to shutdown the entire distributed system? (Y/n): Y
- Shutdown is triggered
-
- gfsh>
- No longer connected to ubuntu.local[1099].
- gfsh>
- ```
-
-3. Type `exit` to quit the gfsh shell.
-
-## <a id="topic_FE3F28ED18E145F787431EC87B676A76__section_C8694C6BB07E4430A73DDD72ABB473F1" class="no-quick-link"></a>Step 10: What to do next...
-
-Here are some suggestions on what to explore next with Apache Geode:
-
-- Continue reading the next section to learn more about the components and concepts that were just introduced.
-- To get more practice using `gfsh`, see [Tutorial\u2014Performing Common Tasks with gfsh](../tools_modules/gfsh/tour_of_gfsh.html#concept_0B7DE9DEC1524ED0897C144EE1B83A34).
-- To learn about the cluster configuration service, see [Tutorial\u2014Creating and Using a Cluster Configuration](../configuring/cluster_config/persisting_configurations.html#task_bt3_z1v_dl).
http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/84cfbdfc/geode-docs/getting_started/book_intro.html.md.erb
----------------------------------------------------------------------
diff --git a/geode-docs/getting_started/book_intro.html.md.erb b/geode-docs/getting_started/book_intro.html.md.erb
deleted file mode 100644
index 95d9f67..0000000
--- a/geode-docs/getting_started/book_intro.html.md.erb
+++ /dev/null
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----
-title: Getting Started with Apache Geode
----
-
-<!--
-Licensed to the Apache Software Foundation (ASF) under one or more
-contributor license agreements. See the NOTICE file distributed with
-this work for additional information regarding copyright ownership.
-The ASF licenses this file to You under the Apache License, Version 2.0
-(the "License"); you may not use this file except in compliance with
-the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-
-A tutorial demonstrates features, and a main features section describes key functionality.
-
-- **[About Apache Geode](geode_overview.html)**
-
- Apache Geode is a data management platform that provides real-time, consistent access to data-intensive applications throughout widely distributed cloud architectures.
-
-- **[Main Features of Apache Geode](product_intro.html)**
-
- This section summarizes the main features and key functionality of Apache Geode.
-
-- **[Prerequisites and Installation Instructions](../prereq_and_install.html)**
-
- Each host of Apache Geode 1.0.0-incubating that meets a small set of prerequisites may follow the provided installation instructions.
-
-- **[Apache Geode in 15 Minutes or Less](15_minute_quickstart_gfsh.html)**
-
- Need a quick introduction to Apache Geode? Take this brief tour to try out basic features and functionality.
-
-
http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/84cfbdfc/geode-docs/getting_started/geode_overview.html.md.erb
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----
-title: About Apache Geode
----
-
-<!--
-Licensed to the Apache Software Foundation (ASF) under one or more
-contributor license agreements. See the NOTICE file distributed with
-this work for additional information regarding copyright ownership.
-The ASF licenses this file to You under the Apache License, Version 2.0
-(the "License"); you may not use this file except in compliance with
-the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-
-Apache Geode is a data management platform that provides real-time, consistent access to data-intensive applications throughout widely distributed cloud architectures.
-
-<a id="concept_3B5E445B19884680900161BDF25E32C9__section_itx_b41_mr"></a>
-Geode pools memory, CPU, network resources, and optionally local disk across multiple processes to manage application objects and behavior. It uses dynamic replication and data partitioning techniques to implement high availability, improved performance, scalability, and fault tolerance. In addition to being a distributed data container, Geode is an in-memory data management system that provides reliable asynchronous event notifications and guaranteed message delivery.
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_0031B81824874FC18F0828DB66150833" class="no-quick-link"></a>Main Concepts and Components
-
-*Caches* are an abstraction that describe a node in a Geode distributed system. Application architects can arrange these nodes in peer-to-peer or client/server topologies.
-
-Within each cache, you define data *regions*. Data regions are analogous to tables in a relational database and manage data in a distributed fashion as name/value pairs. A *replicated* region stores identical copies of the data on each cache member of a distributed system. A *partitioned* region spreads the data among cache members. After the system is configured, client applications can access the distributed data in regions without knowledge of the underlying system architecture. You can define listeners to create notifications about when data has changed, and you can define expiration criteria to delete obsolete data in a region.
-
-For large production systems, Geode provides *locators*. Locators provide both discovery and load balancing services. You configure clients with a list of locator services and the locators maintain a dynamic list of member servers. By default, Geode clients and servers use port 40404 to discover each other.
-
-<a id="concept_3B5E445B19884680900161BDF25E32C9__section_zrl_c41_mr"></a>
-
-For more information on product features, see [Main Features of Apache Geode](product_intro.html).
http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/84cfbdfc/geode-docs/getting_started/installation/install_standalone.html.md.erb
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diff --git a/geode-docs/getting_started/installation/install_standalone.html.md.erb b/geode-docs/getting_started/installation/install_standalone.html.md.erb
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----
-title: How to Install
----
-
-<!--
-Licensed to the Apache Software Foundation (ASF) under one or more
-contributor license agreements. See the NOTICE file distributed with
-this work for additional information regarding copyright ownership.
-The ASF licenses this file to You under the Apache License, Version 2.0
-(the "License"); you may not use this file except in compliance with
-the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-
-Build from source or use the ZIP or TAR distribution to install Apache Geode on every physical and virtual machine that will run Apache Geode.
-
-## Build from Source on Unix
-
-1. Set the JAVA\_HOME environment variable.
-
- ``` pre
- JAVA_HOME=/usr/java/jdk1.8.0_60
- export JAVA_HOME
- ```
-
-2. Download the project source from the Releases page found at [http://geode.incubator.apache.org](http://geode.incubator.apache.org/), and unpack the source code.
-3. Within the directory containing the unpacked source code, build without tests:
-
- ``` pre
- $ ./gradlew build -Dskip.tests=true
- ```
-
- Or, build with the tests:
-
- ``` pre
- $ ./gradlew build
- ```
-
-4. Verify the installation by invoking `gfsh` to print version information and exit. On Linux/Unix platforms, the version will be similar to:
-
- ``` pre
- $ cd geode-assembly/build/install/apache-geode
- $ bin/gfsh version
- v1.0.0-incubating
- ```
-
-## Build from Source on Windows
-
-1. Set the JAVA\_HOME environment variable. For example:
-
- ``` pre
- $ set JAVA_HOME="C:\Program Files\Java\jdk1.8.0_60"
- ```
-
-2. Install Gradle, version 2.3 or a more recent version.
-3. Download the project source from the Releases page found at [http://geode.incubator.apache.org](http://geode.incubator.apache.org/), and unpack the source code.
-4. Within the folder containing the unpacked source code, build without the tests:
-
- ``` pre
- $ gradle build -Dskip.tests=true
- ```
-
- Or, build with the tests:
-
- ``` pre
- $ gradle build
- ```
-
-5. Verify the installation by invoking `gfsh` to print version information and exit.
-
- ``` pre
- $ cd geode-assembly\build\install\apache-geode\bin
- $ gfsh.bat version
- v1.0.0-incubating
- ```
-
-## <a id="concept_0129F6A1D0EB42C4A3D24861AF2C5425__section_D3326496B2BB47A7AB0CFC1A5E266842" class="no-quick-link"></a>Install Binaries from .zip or .tar File
-
-1. Download the .zip or .tar file from the Releases page found at [http://geode.incubator.apache.org](http://geode.incubator.apache.org/).
-2. Unzip the .zip file or expand the .tar file, where `path_to_product` is an absolute path, and the file name will vary due to the version number. For the .zip format:
-
- ``` pre
- $ unzip apache-geode-1.0.0-incubating.zip -d path_to_product
- ```
-
- For the .tar format:
-
- ``` pre
- $ tar -xvf apache-geode-1.0.0-incubating.tar -C path_to_product
- ```
-
-3. Set the JAVA\_HOME environment variable. On Linux/Unix platforms:
-
- ``` pre
- JAVA_HOME=/usr/java/jdk1.8.0_60
- export JAVA_HOME
- ```
-
- On Windows platforms:
-
- ``` pre
- set JAVA_HOME=c:\Program Files\Java\jdk1.8.0_60
- ```
-
-4. Add the Geode scripts to your PATH environment variable. On Linux/Unix platforms:
-
- ``` pre
- PATH=$PATH:$JAVA_HOME/bin:path_to_product/bin
- export PATH
- ```
-
- On Windows platforms:
-
- ``` pre
- set PATH=%PATH%;%JAVA_HOME%\bin;path_to_product\bin
- ```
-
-5. To verify the installation, type `gfsh version` at the command line and note that the output lists the installed version of Geode. For example:
-
- ``` pre
- $ gfsh version
- v1.0.0-incubating
- ```
-
- For more detailed version information such as the date of the build, build number and JDK version being used, invoke:
-
- ``` pre
- $ gfsh version --full
- ```
-
-
http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/84cfbdfc/geode-docs/getting_started/product_intro.html.md.erb
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diff --git a/geode-docs/getting_started/product_intro.html.md.erb b/geode-docs/getting_started/product_intro.html.md.erb
deleted file mode 100644
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----
-title: Main Features of Apache Geode
----
-
-<!--
-Licensed to the Apache Software Foundation (ASF) under one or more
-contributor license agreements. See the NOTICE file distributed with
-this work for additional information regarding copyright ownership.
-The ASF licenses this file to You under the Apache License, Version 2.0
-(the "License"); you may not use this file except in compliance with
-the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-
-This section summarizes the main features and key functionality of Apache Geode.
-
-- [High Read-and-Write Throughput](product_intro.html#concept_3B5E445B19884680900161BDF25E32C9__section_CF0E3E5C4F884374B8F2F536DD2A375C)
-- [Low and Predictable Latency](product_intro.html#concept_3B5E445B19884680900161BDF25E32C9__section_9C5D669B583646F1B817284EB494DDA7)
-- [High Scalability](product_intro.html#concept_3B5E445B19884680900161BDF25E32C9__section_EF7A73D35D1241289C9CA19EDDEBE959)
-- [Continuous Availability](product_intro.html#concept_3B5E445B19884680900161BDF25E32C9__section_CEB4ABFF83054AF6A47EA2FA09C240B1)
-- [Reliable Event Notifications](product_intro.html#concept_3B5E445B19884680900161BDF25E32C9__section_86D2B8CC346349F3913209AF87648A02)
-- [Parallelized Application Behavior on Data Stores](product_intro.html#concept_3B5E445B19884680900161BDF25E32C9__section_A65B5F0DE8BF4AA6AFF16E3A75D4E0AD)
-- [Shared-Nothing Disk Persistence](product_intro.html#concept_3B5E445B19884680900161BDF25E32C9__section_97CABBFF553647F6BBBC40AA7AF6D4C7)
-- [Reduced Cost of Ownership](product_intro.html#concept_3B5E445B19884680900161BDF25E32C9__section_FCB2640F1BED4692A93F9300A41CE70D)
-- [Single-Hop Capability for Client/Server](product_intro.html#concept_3B5E445B19884680900161BDF25E32C9__section_92A444D4B422434EBD5F81D11F32C1C7)
-- [Client/Server Security](product_intro.html#concept_3B5E445B19884680900161BDF25E32C9__section_577F601BC9854AA6B53CD3440F9B9A6A)
-- [Multisite Data Distribution](product_intro.html#concept_3B5E445B19884680900161BDF25E32C9__section_091A306900D7402CAE5A46B5F9BFD612)
-- [Continuous Querying](product_intro.html#concept_3B5E445B19884680900161BDF25E32C9__section_FF4C3B6E26104C4D93186F6FFE22B321)
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_CF0E3E5C4F884374B8F2F536DD2A375C" class="no-quick-link"></a>High Read-and-Write Throughput
-
-Geode uses concurrent main-memory data structures and a highly optimized distribution infrastructure to provide read-and-write throughput. Applications can make copies of data dynamically in memory through synchronous or asynchronous replication for high read throughput or partition the data across many Geode system members to achieve high read-and-write throughput. Data partitioning doubles the aggregate throughput if the data access is fairly balanced across the entire data set. Linear increase in throughput is limited only by the backbone network capacity.
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_9C5D669B583646F1B817284EB494DDA7" class="no-quick-link"></a>Low and Predictable Latency
-
-Geode's optimized caching layer minimizes context switches between threads and processes. It manages data in highly concurrent structures to minimize contention points. Communication to peer members is synchronous if the receivers can keep up, which keeps the latency for data distribution to a minimum. Servers manage object graphs in serialized form to reduce the strain on the garbage collector.
-
-Geode partitions subscription management (interest registration and continuous queries) across server data stores, ensuring that a subscription is processed only once for all interested clients. The resulting improvements in CPU use and bandwidth utilization improve throughput and reduce latency for client subscriptions.
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_EF7A73D35D1241289C9CA19EDDEBE959" class="no-quick-link"></a>High Scalability
-
-Geode achieves scalability through dynamic partitioning of data across many members and spreading the data load uniformly across the servers. For "hot" data, you can configure the system to expand dynamically to create more copies of the data. You can also provision application behavior to run in a distributed manner in close proximity to the data it needs.
-
-If you need to support high and unpredictable bursts of concurrent client load, you can increase the number of servers managing the data and distribute the data and behavior across them to provide uniform and predictable response times. Clients are continuously load balanced to the server farm based on continuous feedback from the servers on their load conditions. With data partitioned and replicated across servers, clients can dynamically move to different servers to uniformly load the servers and deliver the best response times.
-
-You can also improve scalability by implementing asynchronous "write behind" of data changes to external data stores, like a database. Geode avoids a bottleneck by queuing all updates in order and redundantly. You can also conflate updates and propagate them in batch to the database.
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_CEB4ABFF83054AF6A47EA2FA09C240B1" class="no-quick-link"></a>Continuous Availability
-
-In addition to guaranteed consistent copies of data in memory, applications can persist data to disk on one or more Geode members synchronously or asynchronously by using Geode's "shared nothing disk architecture." All asynchronous events (store-forward events) are redundantly managed in at least two members such that if one server fails, the redundant one takes over. All clients connect to logical servers, and the client fails over automatically to alternate servers in a group during failures or when servers become unresponsive.
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_86D2B8CC346349F3913209AF87648A02" class="no-quick-link"></a>Reliable Event Notifications
-
-Publish/subscribe systems offer a data-distribution service where new events are published into the system and routed to all interested subscribers in a reliable manner. Traditional messaging platforms focus on message delivery, but often the receiving applications need access to related data before they can process the event. This requires them to access a standard database when the event is delivered, limiting the subscriber by the speed of the database.
-
-Geode offers data and events through a single system. Data is managed as objects in one or more distributed data regions, similar to tables in a database. Applications simply insert, update, or delete objects in data regions, and the platform delivers the object changes to the subscribers. The subscriber receiving the event has direct access to the related data in local memory or can fetch the data from one of the other members through a single hop.
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_A65B5F0DE8BF4AA6AFF16E3A75D4E0AD" class="no-quick-link"></a>Parallelized Application Behavior on Data Stores
-
-You can execute application business logic in parallel on the Geode members. Geode's data-aware function-execution service permits execution of arbitrary, data-dependent application functions on the members where the data is partitioned for locality of reference and scale.
-
-By colocating the relevant data and parallelizing the calculation, you increase overall throughput. The calculation latency is inversely proportional to the number of members on which it can be parallelized.
-
-The fundamental premise is to route the function transparently to the application that carries the data subset required by the function and to avoid moving data around on the network. Application function can be executed on only one member, in parallel on a subset of members, or in parallel across all members. This programming model is similar to the popular Map-Reduce model from Google. Data-aware function routing is most appropriate for applications that require iteration over multiple data items (such as a query or custom aggregation function).
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_97CABBFF553647F6BBBC40AA7AF6D4C7" class="no-quick-link"></a>Shared-Nothing Disk Persistence
-
-Each Geode system member manages data on disk files independent of other members. Failures in disks or cache failures in one member do not affect the ability of another cache instance to operate safely on its disk files. This "shared nothing" persistence architecture allows applications to be configured such that different classes of data are persisted on different members across the system, dramatically increasing the overall throughput of the application even when disk persistence is configured for application objects.
-
-Unlike a traditional database system, Geode does not manage data and transaction logs in separate files. All data updates are appended to files that are similar to transactional logs of traditional databases. You can avoid disk-seek times if the disk is not concurrently used by other processes, and the only cost incurred is the rotational latency.
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_FCB2640F1BED4692A93F9300A41CE70D" class="no-quick-link"></a>Reduced Cost of Ownership
-
-You can configure caching in tiers. The client application process can host a cache locally (in memory and overflow to disk) and delegate to a cache server farm on misses. Even a 30 percent hit ratio on the local cache translates to significant savings in costs. The total cost associated with every single transaction comes from the CPU cycles spent, the network cost, the access to the database, and intangible costs associated with database maintenance. By managing the data as application objects, you avoid the additional cost (CPU cycles) associated with mapping SQL rows to objects.
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_92A444D4B422434EBD5F81D11F32C1C7" class="no-quick-link"></a>Single-Hop Capability for Client/Server
-
-Clients can send individual data requests directly to the server holding the data key, avoiding multiple hops to locate data that is partitioned. Metadata in the client identifies the correct server. This feature improves performance and client access to partitioned regions in the server tier.
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_577F601BC9854AA6B53CD3440F9B9A6A" class="no-quick-link"></a>Client/Server Security
-
-Geode supports running multiple, distinct users in client applications. This feature accommodates installations in which Geode clients are embedded in application servers and each application server supports data requests from many users. Each user may be authorized to access a small subset of data on the servers, as in a customer application where each customer can access only their own orders and shipments. Each user in the client connects to the server with its own set of credentials and has its own access authorization to the server cache.
-
-Client/server communication has increased security against replay attacks. The server sends the client a unique, random identifier with each response to be used in the next client request. Because of the identifier, even a repeated client operation call is sent as a unique request to the server.
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_091A306900D7402CAE5A46B5F9BFD612" class="no-quick-link"></a>Multisite Data Distribution
-
-Scalability problems can result from data sites being spread out geographically across a wide-area network (WAN). GemFire offers a model to address these topologies, ranging from a single peer-to-peer cluster to reliable communications between data centers across the WAN. This model allows distributed systems to scale out in an unbounded and loosely coupled fashion without loss of performance, reliability or data consistency.
-
-At the core of this architecture is the gateway sender configuration used for distributing region events to a remote site. You can deploy gateway sender instances in parallel, which enables GemFire to increase the throughput for distributing region events across the WAN. You can also configure gateway sender queues for persistence and high availability to avoid data loss in the case of a member failure.
-
-## <a id="concept_3B5E445B19884680900161BDF25E32C9__section_FF4C3B6E26104C4D93186F6FFE22B321" class="no-quick-link"></a>Continuous Querying
-
-In messaging systems like Java Message Service, clients subscribe to topics and queues. Any message delivered to a topic is sent to the subscriber. Geode allows continuous querying by having applications express complex interest using Object Query Language.