Skip white space. Advance position to the next character. Collect a sequence of characters that are ASCII digits , and interpret the resulting sequence as a base-ten integer. Let value be that integer. If sign is "positive", return value , otherwise return the result of subtracting value from zero. A valid non-negative integer represents the number that is represented in base ten by that string of digits.
The rules for parsing non-negative integers are as given in the following algorithm. This algorithm will return either zero, a positive integer, or an error. Let value be the result of parsing input using the rules for parsing integers.
A string is a valid floating-point number if it consists of:. If there is no E, then the exponent is treated as zero. The best representation of the number n as a floating-point number is the string obtained from running ToString n. The abstract operation ToString is not uniquely determined.
When there are multiple possible strings that could be obtained from ToString for a particular value, the user agent must always return the same string for that value though it may differ from the value used by other user agents.
The rules for parsing floating-point number values are as given in the following algorithm. This algorithm must be aborted at the first step that returns something. This algorithm will return either a number or an error. Multiply value by that integer. If position is past the end of input , jump to the step labeled conversion. Add the value of the character indicated by position , interpreted as a base-ten digit If position is past the end of input , then jump to the step labeled conversion.
If the character indicated by position is an ASCII digit , jump back to the step labeled fraction loop in these substeps. If the character indicated by position is not an ASCII digit , then jump to the step labeled conversion. Multiply exponent by that integer. Conversion : Let S be the set of finite IEEE double-precision floating-point values except -0, but with two special values added: 2 and -2 Let rounded-value be the number in S that is closest to value , selecting the number with an even significand if there are two equally close values.
The two special values 2 and -2 are considered to have even significands for this purpose. The rules for parsing dimension values are as given in the following algorithm.
This algorithm will return either a number greater than or equal to 0. Let value be that number. If position is past the end of input , return value as a length. If position is past the end of input , or if the character indicated by position is not an ASCII digit , then return value as a length. If position is past the end of input , then return value as a length.
If the character indicated by position is an ASCII digit , return to the step labeled fraction loop in these substeps. The rules for parsing non-zero dimension values are as given in the following algorithm. This algorithm will return either a number greater than 0. Let value be the result of parsing input using the rules for parsing dimension values. In addition, there might be restrictions on the number of floating-point numbers that can be given, or on the range of values allowed. The rules for parsing a list of floating-point numbers are as follows:.
Let numbers be an initially empty list of floating-point numbers. This list will be the result of this algorithm. This skips past any leading delimiters. This skips past leading garbage. Let number be the result of parsing unparsed number using the rules for parsing floating-point number values. This skips past the delimiter. The rules for parsing a list of dimensions are as follows. These rules return a list of zero or more pairs consisting of a number and a unit, the unit being one of percentage , relative , and absolute.
Split the string raw input on commas. Let raw tokens be the resulting list of tokens. If the character at position is an ASCII digit , collect a sequence of characters that are ASCII digits , interpret the resulting sequence as an integer in base ten, and increment value by that integer. Let s be the resulting sequence. Remove all space characters in s.
Let length be the number of characters in s after the spaces were removed. Let fraction be the result of interpreting s as a base-ten integer, and then dividing that number by 10 length. Add an entry to result consisting of the number given by value and the unit given by unit. Dates are expressed in the proleptic Gregorian calendar between the proleptic year , and the year Other years cannot be encoded.
The proleptic Gregorian calendar is the calendar most common globally since around , and is likely to be understood by almost everyone for dates between the years and , and for many people for dates in the last few decades or centuries. For most practical purposes, dealing with the present, recent past, or the next few thousand years, this will work without problems.
For dates before the adoption of the Gregorian Calendar - for example prior to in Russia or Turkey, prior to in Britain or the then British colonies of America, or prior to in Spain, the Spanish colonies in America, and the rest of the world, dates will not match those written at the time. The use of the Gregorian calendar as an underlying encoding is a somewhat arbitrary choice.
Many other calendars were or are in use, and the interested reader should look for information on the Web. See also the discussion of date, time, and number formats in forms for authors , implementation notes regarding localization of form controls , and the time element.
In the algorithms below, the number of days in month month of year year is: 31 if month is 1, 3, 5, 7, 8, 10, or 12; 30 if month is 4, 6, 9, or 11; 29 if month is 2 and year is a number divisible by , or if year is a number divisible by 4 but not by ; and 28 otherwise. This takes into account leap years in the Gregorian calendar.
When ASCII digits are used in the date and time syntaxes defined in this section, they express numbers in base ten. While the formats described here are intended to be subsets of the corresponding ISO formats, this specification defines parsing rules in much more detail than ISO Implementors are therefore encouraged to carefully examine any date parsing libraries before using them to implement the parsing rules described below; ISO libraries might not parse dates and times in exactly the same manner.
Where this specification refers to the proleptic Gregorian calendar , it means the modern Gregorian calendar, extrapolated backwards to year 1. A date in the proleptic Gregorian calendar , sometimes explicitly referred to as a proleptic-Gregorian date , is one that is described using that calendar even if that calendar was not in use at the time or place in question.
A month consists of a specific proleptic-Gregorian date with no time-zone information and no date information beyond a year and a month. A string is a valid month string representing a year year and month month if it consists of the following components in the given order:. For example, February is encoded , and March of the year 33AD as a proleptic gregorian date is encoded The expression does not mean March in the year , it is an error, because it does not have 4 digits for the year. The rules to parse a month string are as follows.
This will return either a year and month, or nothing. If at any point the algorithm says that it "fails", this means that it is aborted at that point and returns nothing. Parse a month component to obtain year and month. If this returns nothing, then fail.
The rules to parse a month component , given an input string and a position , are as follows. This will return either a year and a month, or nothing. If the collected sequence is not at least four characters long, then fail. Otherwise, interpret the resulting sequence as a base-ten integer.
Let that number be the year. Otherwise, move position forwards one character. If the collected sequence is not exactly two characters long, then fail. Let that number be the month. A date consists of a specific proleptic-Gregorian date with no time-zone information, consisting of a year, a month, and a day. A string is a valid date string representing a year year , month month , and day day if it consists of the following components in the given order:. A valid month string , representing year and month.
For example, 29 February is encoded , and 3 March of the year 33AD as a proleptic gregorian date is encoded The expression does not mean 3 March in the year , it is an error, because it does not have 4 digits for the year.
The rules to parse a date string are as follows. This will return either a date, or nothing. Parse a date component to obtain year , month , and day. Let date be the date with year year , month month , and day day. The rules to parse a date component , given an input string and a position , are as follows. This will return either a year, a month, and a day, or nothing. Let maxday be the number of days in month month of year year.
Let that number be the day. A yearless date consists of a Gregorian month and a day within that month, but with no associated year. A string is a valid yearless date string representing a month month and a day day if it consists of the following components in the given order:. In other words, if the month is " 02 ", meaning February, then the day can be 29, as if the year was a leap year.
For example, 29 February is encoded , and 3 March is encoded The rules to parse a yearless date string are as follows. This will return either a month and a day, or nothing. Parse a yearless date component to obtain month and day. The rules to parse a yearless date component , given an input string and a position , are as follows. If the collected sequence is not exactly zero or two characters long, then fail.
Let maxday be the number of days in month month of any arbitrary leap year e. A time consists of a specific time with no time-zone information, consisting of an hour, a minute, a second, and a fraction of a second. A string is a valid time string representing an hour hour , a minute minute , and a second second if it consists of the following components in the given order:.
The second component cannot be 60 or 61; leap seconds cannot be represented. Times are encoded using the 24 hour clock, with optional seconds, and optional decimal fractions of seconds. Thus 7. Note that parsing that time will return , or 7. The rules to parse a time string are as follows. This will return either a time, or nothing. Parse a time component to obtain hour , minute , and second. Let time be the time with hour hour , minute minute , and second second.
The rules to parse a time component , given an input string and a position , are as follows. This will return either an hour, a minute, and a second, or nothing. Let that number be the hour. Let that number be the minute. If position is beyond the end of input , or at the last character in input , or if the next two characters in input starting at position are not both ASCII digits , then fail.
Otherwise, let second be the collected string. Interpret second as a base-ten number possibly with a fractional part. Let second be that number instead of the string version. A floating date and time consists of a specific proleptic-Gregorian date , consisting of a year, a month, and a day, and a time, consisting of an hour, a minute, a second, and a fraction of a second, but expressed without a time zone.
A string is a valid floating date and time string representing a date and time if it consists of the following components in the given order:. A valid date string representing the date. A valid time string representing the time. A string is a valid normalized floating date and time string representing a date and time if it consists of the following components in the given order:. A valid time string representing the time, expressed as the shortest possible string for the given time e.
The rules to parse a floating date and time string are as follows. This will return either a date and time, or nothing.
A time-zone offset consists of a signed number of hours and minutes. A string is a valid time-zone offset string representing a time-zone offset if it consists of either:. There is no guarantee that this will remain so forever, however; time zones are changed by countries at will and do not follow a standard. See also the usage notes and examples in the global date and time section below for details on using time-zone offsets with historical times that predate the formation of formal time zones.
The rules to parse a time-zone offset string are as follows. This will return either a time-zone offset, or nothing. Take advantage of the open living room and fully-equipped kitchen.
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The interior offers an open floor pla Our Destin vacation rental offers you a spacious wrap around balcony that provides incredible views of the world's most beautiful beach and the bay! It also copies the index to a source directory aka copy directory on a regular basis. Note that the copy is based on an incremental copy mechanism reducing the average copy time. DirectoryProvider typically used on the master node in a JMS back end cluster. Like filesystem , but retrieves a master version source on a regular basis.
To avoid locking and inconsistent search results, 2 local copies are kept. If a copy is still in progress when refresh period elapses, the second copy operation will be skipped. If the built-in directory providers do not fit your needs, you can write your own directory provider by implementing the org. DirectoryProvider interface. You can pass any additional properties using the prefix hibernate.
It is possible to refine how Hibernate Search interacts with Lucene through the worker configuration. There exist several architectural components and possible extension points. Use the worker configuration to refine how Infinispan Query interacts with Lucene. Several architectural components and possible extension points are available for this configuration.
First there is a Worker. An implementation of the Worker interface is responsible for receiving all entity changes, queuing them by context and applying them once a context ends. The most intuitive context, especially in connection with ORM, is the transaction. For this reason Hibernate Search will per default use the TransactionalWorker to scope all changes per transaction.
One can, however, imagine a scenario where the context depends for example on the number of entity changes or some other application lifecycle events. The fully qualified class name of the Worker implementation to use. If this property is not set, empty or transaction the default TransactionalWorker is used. All configuration properties prefixed with hibernate. This allows adding custom, worker specific parameters.
Defines the maximum number of indexing operation batched per context. Once the limit is reached indexing will be triggered even though the context has not ended yet. This property only works if the Worker implementation delegates the queued work to BatchedQueueingProcessor, which is what the TransactionalWorker does.
Once a context ends it is time to prepare and apply the index changes. This can be done synchronously or asynchronously from within a new thread. Synchronous updates have the advantage that the index is at all times in sync with the databases. Asynchronous updates, on the other hand, can help to minimize the user response time. The drawback is potential discrepancies between database and index states.
The following options can be different on each index; in fact they need the indexName prefix or use default to set the default value for all indexes. The back end can apply updates from the same transaction context or batch in parallel, using a thread pool. The default value is 1. You can experiment with larger values if you have many operations per transaction. Defines the maximal number of work queue if the thread pool is starved. Useful only for asynchronous execution. Default to infinite. If the limit is reached, the work is done by the main thread.
So far all work is done within the same virtual machine VM , no matter which execution mode. The total amount of work has not changed for the single VM. Luckily there is a better approach, namely delegation. It is possible to send the indexing work to a different server by configuring hibernate. Again this option can be configured differently for each index. Also used when the property is undefined or empty. Index updates are send to a JMS queue to be processed by an indexing master.
See JMS Back-end Configuration for additional configuration options and for a more detailed description of this setup. You can also specify the fully qualified name of a class implementing BackendQueueProcessor.
This way you can implement your own communication layer. The implementation is responsible for returning a Runnable instance which on execution will process the index work. Mandatory for the JMS back end. The queue will be used to post work messages.
As you probably noticed, some of the shown properties are correlated which means that not all combinations of property values make sense. In fact you can end up with a non-functional configuration. This is especially true for the case that you provide your own implementations of some of the shown interfaces. Make sure to study the existing code before you write your own Worker or BackendQueueProcessor implementation.
Every index update operation is sent to a JMS queue. Index querying operations are executed on a local index copy. Every index update operation is taken from a JMS queue and executed. The master index is copied on a regular basis.
Index update operations in the JMS queue are executed and the master index is copied regularly. In addition to the Hibernate Search framework configuration, a message-driven bean has to be written and set up to process the index works queue through JMS.
This implementation is given as an example and can be adjusted to make use of non Java EE message-driven beans. Hibernate Search is used to tune the Lucene indexing performance by specifying a set of parameters which are passed through to underlying Lucene IndexWriter such as mergeFactor , maxMergeDocs , and maxBufferedDocs. Specify these parameters either as default values applying for all indexes, on a per index basis, or even per shard. There are several low level IndexWriter settings which can be tuned for different use cases.
These parameters are grouped by the indexwriter keyword:. If no value is set for an indexwriter value in a specific shard configuration, Hibernate Search checks the index section, then at the default section. The configuration in the following table will result in these settings applied on the second shard of the Animal index:. The values listed in Indexing Performance and Behavior Properties depend for this reason on the version of Lucene you are using.
The values shown are relative to version 2. Previous versions of Hibernate Search had the notion of batch and transaction properties.
This is no longer the case as the back end will always perform work using the same settings. Set to true when no other process will need to write to the same index. This enables Hibernate Search to work in exclusive mode on the index and improve performance when writing changes to the index. Each index has a separate "pipeline" which contains the updates to be applied to the index.
When this queue is full adding more operations to the queue becomes a blocking operation. Configuring this setting does not make much sense unless the worker. Determines the minimal number of delete terms required before the buffered in-memory delete terms are applied and flushed.
If there are documents buffered in memory at the time, they are merged and a new segment is created. Controls the amount of documents buffered in memory during indexing. The bigger the more RAM is consumed. Defines the largest number of documents allowed in a segment. Smaller values perform better on frequently changing indexes, larger values provide better search performance if the index does not change often.
Determines how often segment indexes are merged when insertion occurs. With smaller values, less RAM is used while indexing, and searches on unoptimized indexes are faster, but indexing speed is slower. With larger values, more RAM is used during indexing, and while searches on unoptimized indexes are slower, indexing is faster. The value must not be lower than 2.
Controls segment merge frequency and size. Segments smaller than this size in MB are always considered for the next segment merge operation.
Setting this too large might result in expensive merge operations, even though they are less frequent. See also org. This helps reduce memory requirements and avoids some merging operations at the cost of optimal search speed. When optimizing an index this value is ignored. Applied to org. Set to false to not consider deleted documents when estimating the merge policy.
Generally for faster indexing performance it is best to flush by RAM usage instead of document count and use as large a RAM buffer as you can. Large values cause less memory to be used by IndexReader, but slow random-access to terms. Small values cause more memory to be used by an IndexReader, and speed random-access to terms. See Lucene documentation for more details.
The advantage of using the compound file format is that less file descriptors are used. The disadvantage is that indexing takes more time and temporary disk space. You can set this parameter to false in an attempt to improve the indexing time, but you could run out of file descriptors if mergeFactor is also large.
Boolean parameter, use true or false. The default value for this option is true. Not all entity changes require a Lucene index update. If all of the updated entity properties dirty properties are not indexed, Hibernate Search skips the re-indexing process.
Disable this option if you use custom FieldBridges which need to be invoked at each update event even though the property for which the field bridge is configured has not changed. This optimization will not be applied on classes using a ClassBridge or a DynamicBoost.
The blackhole back end is not meant to be used in production, only as a tool to identify indexing bottlenecks. If no value is set for indexwriter in a shard configuration, Hibernate Search looks at the index section and then at the default section. The following configuration will result in these settings being applied on the second shard of the Animal index:. The Lucene default values are the default setting for Hibernate Search. Therefore, the values listed in the following table depend on the version of Lucene being used.
For more information about Lucene indexing performance, see the Lucene documentation. When the architecture permits it, keep default. When tuning indexing speed the recommended approach is to focus first on optimizing the object loading, and then use the timings you achieve as a baseline to tune the indexing process. Set the blackhole as worker back end and start your indexing routines.
This back end does not disable Hibernate Search. It generates the required change sets to the index, but discards them instead of flushing them to the index. In contrast to setting the hibernate. The blackhole back end is not to be used in production, only as a diagnostic tool to identify indexing bottlenecks. This threshold is checked as an estimate. The Lucene Directory can be configured with a custom locking strategy via LockingFactory for each index managed by Hibernate Search.
Some locking strategies require a filesystem level lock, and may be used on RAM-based indexes. When using this strategy the IndexBase configuration option must be specified to point to a filesystem location in which to store the lock marker files. To select a locking factory, set the hibernate. If for some reason you had to kill your application, you will need to remove this file before restarting it.
As does simple this also marks the usage of the index by creating a marker file, but this one is using native OS file locks so that even if the JVM is terminated the locks will be cleaned up. This LockFactory does not use a file marker but is a Java object lock held in memory; therefore it is possible to use it only when you are sure the index is not going to be shared by any other process. This is the default implementation for the ram directory provider. Hibernate Search does not currently offer a backwards compatible API or tool to facilitate porting applications to newer versions.
Occasionally an update to the index format may be required. In this case, there is a possibility that data will need to be re-indexed if Lucene is unable to read the old format. Hibernate Search exposes the hibernate. This property instructs Analyzers and other Lucene classes to conform to their behavior as defined in an older version of Lucene.
Version contained in the lucene-core. If the option is not specified, Hibernate Search instructs Lucene to use the version default. It is recommended that the version used is explicitly defined in the configuration to prevent automatic changes when an upgrade occurs. After an upgrade, the configuration values can be updated explicitly if required.
If Lucene is used and Hibernate Search is bypassed, apply the same value to it for consistent results. Use the following configuration in your Maven project to add hibernate-search-orm dependencies:. For this section, consider the example in which you have a database containing details of books.
Your application contains the Hibernate managed classes example. Instead of flushing on every write that requires a flush, we maintain an internal buffer, and flush the entire buffer either when it is full, or when a timeout expires, whichever is sooner. This is used for both NIO and AIO and allows the system to scale better with many concurrent writes that require flushing. This parameter controls the timeout at which the buffer will be flushed if it hasn't filled already.
By increasing the timeout, you may be able to increase system throughput at the expense of latency, the default parameters are chosen to give a reasonable balance between throughput and latency. The minimal number of files before we can consider compacting the journal. The compacting algorithm won't start until you have at least journal-compact-min-files.
The threshold to start compacting. When less than this percentage is considered live data, we start compacting. Note also that compacting won't kick in until you have at least journal-compact-min-files data files on the journal. Most disks contain hardware write caches. A write cache can increase the apparent performance of the disk because writes just go into the cache and are then lazily written to the disk later.
This happens irrespective of whether you have executed a fsync from the operating system or correctly synced data from inside a Java program! By default many systems ship with disk write cache enabled.
This means that even after syncing from the operating system there is no guarantee the data has actually made it to disk, so if a failure occurs, critical data can be lost.
Some more expensive disks have non volatile or battery backed write caches which won't necessarily lose data on event of failure, but you need to test them! If your disk does not have an expensive non volatile or battery backed cache and it's not part of some kind of redundant array e. RAID , and you value your data integrity you need to make sure disk write cache is disabled. Be aware that disabling disk write cache can give you a nasty shock performance wise.
If you've been used to using disks with write cache enabled in their default setting, unaware that your data integrity could be compromised, then disabling it will give you an idea of how fast your disk can perform when acting really reliably. It's not possible to use the AIO journal under other operating systems or earlier versions of the Linux kernel. If you are running Linux kernel 2. In some situations, zero persistence is sometimes required for a messaging system. Configuring HornetQ to perform zero persistence is straightforward.
Simply set the parameter persistence-enabled in hornetq-configuration. Please note that if you set this parameter to false, then zero persistence will occur. That means no bindings data, message data, large message data, duplicate id caches or paging data will be persisted.
To import the file as binary data on the journal Notice you also require netty. JournalDirectory: Use the configured folder for your selected folder. JournalPrefix: Use the prefix for your selected journal, as discussed here. FileExtension: Use the extension for your selected journal, as discussed here. FileSize: Use the size for your selected journal, as discussed here.
HornetQ has a fully pluggable and highly flexible transport layer and defines its own Service Provider Interface SPI to make plugging in a new transport provider relatively straightforward. In this chapter we'll describe the concepts required for understanding HornetQ transports and where and how they're configured.
One of the most important concepts in HornetQ transports is the acceptor. Let's dive straight in and take a look at an acceptor defined in xml in the configuration file hornetq-configuration. Acceptors are always defined inside an acceptors element. There can be one or more acceptors defined in the acceptors element. There's no upper limit to the number of acceptors per server. In the above example we're defining an acceptor that uses Netty to listen for connections at port The acceptor element contains a sub-element factory-class , this element defines the factory used to create acceptor instances.
In this case we're using Netty to listen for connections so we use the Netty implementation of an AcceptorFactory to do this. Basically, the factory-class element determines which pluggable transport we're going to use to do the actual listening.
The acceptor element can also be configured with zero or more param sub-elements. Each param element defines a key-value pair. These key-value pairs are used to configure the specific transport, the set of valid key-value pairs depends on the specific transport be used and are passed straight through to the underlying transport.
Examples of key-value pairs for a particular transport would be, say, to configure the IP address to bind to, or the port to listen at. Whereas acceptors are used on the server to define how we accept connections, connectors are used by a client to define how it connects to a server. Let's look at a connector defined in our hornetq-configuration. Connectors can be defined inside a connectors element.
There can be one or more connectors defined in the connectors element. There's no upper limit to the number of connectors per server. You make ask yourself, if connectors are used by the client to make connections then why are they defined on the server? There are a couple of reasons for this:.
Sometimes the server acts as a client itself when it connects to another server, for example when one server is bridged to another, or when a server takes part in a cluster. In this cases the server needs to know how to connect to other servers. That's defined by connectors. That's defined by the connector-ref element in the hornetq-jms. Let's take a look at a snipped from a hornetq-jms. How do we configure a core ClientSessionFactory with the information that it needs to connect with a server?
Connectors are also used indirectly when directly configuring a core ClientSessionFactory to directly talk to a server. Although in this case there's no need to define such a connector in the server side configuration, instead we just create the parameters and tell the ClientSessionFactory which connector factory to use.
Here's an example of creating a ClientSessionFactory which will connect directly to the acceptor we defined earlier in this chapter, it uses the standard Netty TCP transport and will try and connect on port to localhost default :.
Similarly, if you're using JMS, you can configure the JMS connection factory directly on the client side without having to define a connector on the server side or define a connection factory in hornetq-jms. Out of the box, HornetQ currently uses Netty , a high performance low level network library.
We recommend you use the Java NIO on the server side for better scalability with many concurrent connections. However using Java old IO can sometimes give you better latency than NIO when you're not so worried about supporting many thousands of concurrent connections. If you're running connections across an untrusted network please bear in mind this transport is unencrypted.
With the Netty TCP transport all connections are initiated from the client side. This works well with firewall policies that typically only allow connections to be initiated in one direction. All the valid Netty transport keys are defined in the class org. Most parameters can be used either with acceptors or connectors, some only work with acceptors. The following parameters can be used to configure Netty for simple TCP:. If this is true then Java non blocking NIO will be used.
If set to false then old blocking Java IO will be used. If you require the server to handle many concurrent connections, we highly recommend that you use non blocking Java NIO. Java NIO does not maintain a thread per connection so can scale to many more concurrent connections than with old blocking IO. If you don't require the server to handle many concurrent connections, you might get slightly better performance by using old blocking IO. The default value for this property is false on the server side and false on the client side.
This specifies the host name or IP address to connect to when configuring a connector or to listen on when configuring an acceptor. The default value for this property is localhost. When configuring acceptors, multiple hosts or IP addresses can be specified by separating them with commas. It is also possible to specify 0. It's not valid to specify multiple addresses when specifying the host for a connector; a connector makes a connection to one specific address. Don't forget to specify a host name or ip address!
If you want your server able to accept connections from other nodes you must specify a hostname or ip address at which the acceptor will bind and listen for incoming connections. The default is localhost which of course is not accessible from remote nodes!
This specified the port to connect to when configuring a connector or to listen on when configuring an acceptor. The default value for this property is If this is true then Nagle's algorithm will be enabled. The default value for this property is true. This parameter determines the size of the TCP send buffer in bytes.
The default value for this property is bytes 32KiB. TCP buffer sizes should be tuned according to the bandwidth and latency of your network. Here's a good link that explains the theory behind this. Where bandwidth is in bytes per second and network round trip time RTT is in seconds. RTT can be easily measured using the ping utility. For fast networks you may want to increase the buffer sizes from the defaults. This parameter determines the size of the TCP receive buffer in bytes.
Before writing packets to the transport, HornetQ can be configured to batch up writes for a maximum of batch-delay milliseconds. This can increase overall throughput for very small messages. It does so at the expense of an increase in average latency for message transfer. The default value for this property is 0 ms. When a message arrives on the server and is delivered to waiting consumers, by default, the delivery is done on a different thread to that which the message arrived on.
This gives the best overall throughput and scalability, especially on multi-core machines. However it also introduces some extra latency due to the extra context switch required. If you want the lowest latency and the possible expense of some reduction in throughput then you can make sure direct-deliver to true.
The default value for this parameter is true. If you are willing to take some small extra hit on latency but want the highest throughput set this parameter to false.
When configured to use NIO, HornetQ will, by default, use a number of threads equal to three times the number of cores or hyper-threads as reported by Runtime. If you want to override this value, you can set the number of threads by specifying this parameter. The default value for this parameter is -1 which means use the value from Runtime.
Must be true to enable SSL. This is the path to the SSL key store on the client which holds the client certificates. This is the password for the client certificate key store on the client. This is the path to the trusted client certificate store on the server.
This is the password to the trusted client certificate store on the server. It can be useful in scenarios where firewalls only allow HTTP traffice to pass. Must be true to enable HTTP. How long a client can be idle before sending an empty http request to keep the connection alive.
How often, in milliseconds, to scan for idle clients. How long the server can wait before sending an empty http response to keep the connection alive. How often, in milliseconds, to scan for clients needing responses. If true the client will wait after the first call to receive a session id. Used the http connector is connecting to servlet acceptor not recommended. We also provide a Netty servlet transport for use with HornetQ. This allows HornetQ to be used where corporate policies may only allow a single web server listening on an HTTP port, and this needs to serve all applications including messaging.
Please see the examples for a full working example of the servlet transport being used. To configure a servlet engine to work the Netty Servlet transport we need to do the following things:.
Deploy the servlet. Here's an example web. We also need to add a special Netty invm acceptor on the server side configuration. Here's a snippet from the hornetq-configuration.
Lastly we need a connector for the client, this again will be configured in the hornetq-configuration. You can see it matches the name of the host param. The servlet pattern configured in the web. The connector param servlet-path on the connector config must match this using the application context of the web app if there is one.
Its also possible to use the servlet transport over SSL. You will also have to configure the Application server to use a KeyStore. About this capture. Organization: Internet Archive. Index querying operations are executed on a local index copy.
Master node. Every index update operation is taken from a JMS queue and executed. The master index es is are copied on a regular basis. In addition to the Hibernate Search framework configuration, a Message Driven Bean should be written and set up to process index works queue through JMS.
This implementation is given as an example and, while most likely more complex, can be adjusted to make use of non Java EE Message Driven Beans.
Reader Strategy Configuration. The default reader strategy is shared. This can be adjusted:. Adding this property switch to the non shared strategy. CustomReaderProvider is the custom strategy implementation. Enabling Hibernate Search and automatic indexing. Enabling Hibernate Search. If, for some reason you need to disable it, set hibernate. Note that there is no performance runtime when the listeners are enabled while no entity is indexable. Once again, such a configuration is not useful with Hibernate Annotations or Hibernate EntityManager.
Be sure to add the appropriate jar files in your classpath. TXT for the list of third party libraries. A typical installation on top of Hibernate Annotations will add:. Hibernate Core 3. If you use Hibernate Core 3. Those additional event listeners have been introduced in Hibernate 3. You need to explicitly reference those event listeners unless you use Hibernate Annotations 3.
Automatic indexing. By default, every time an object is inserted, updated or deleted through Hibernate, Hibernate Search updates the according Lucene index. In most case, the JMS backend provides the best of both world, a lightweight event based system keeps track of all changes in the system, and the heavyweight indexing process is done by a separate process or machine. Tuning Lucene indexing performance. Hibernate Search allows you to tune the Lucene indexing performance by specifying a set of parameters which are passed through to underlying Lucene IndexWriter such as mergeFactor , maxMergeDocs and maxBufferedDocs.
You can specify these parameters either as default values applying for all indexes or on a per index basis. There are two sets of parameters allowing for different performance settings depending on the use case. During indexing operations triggered by database modifications, the following ones are used: hibernate. Unless the corresponding. For more information about Lucene indexing performances, please refer to the Lucene documentation. Determines how often segment indices are merged when insertion occurs.
With smaller values, less RAM is used while indexing, and searches on unoptimized indices are faster, but indexing speed is slower. With larger values, more RAM is used during indexing, and while searches on unoptimized indices are slower, indexing is faster.
The value must no be lower than 2. Used by Hibernate Search during index update operations as part of database modifications. Controls the amount of documents buffered in memory during indexing. The bigger the more RAM is consumed. Used during indexing via FullTextSession.
Mapping Entities to the Index Structure. All the metadata information needed to index entities is described through some Java annotations. There is no need for xml mapping files nor a list of indexed entities.
The list is discovered at startup by scanning the Hibernate mapped entities. Mapping an entity. Basic mapping. First, we must declare a persistent class as indexable. This is done by annotating the class with Indexed all entities not annotated with Indexed will be ignored by the indexing process :. The index attribute tells Hibernate what the Lucene directory name is usually a directory on your file system. If you wish to define a base directory for all Lucene indexes, you can use the hibernate.
Each entity instance will be represented by a Lucene Document inside the given index aka Directory. For each property or attribute of your entity, you have the ability to describe how it will be indexed. The default i. Field does declare a property as indexed.
When indexing an element to a Lucene document you can specify how it is indexed:. The default value is the property name following the JavaBeans convention. You can store the value Store.
NO this is the default value. When a property is stored, you can retrieve it from the Lucene Document note that this is not related to whether the element is indexed or not. The different values are Index. NO no indexing, i. These attributes are part of the Field annotation. Whether or not you want to store the data depends on how you wish to use the index query result. For a regular Hibernate Search usage, storing is not necessary. Whether or not you want to tokenize a property depends on whether you wish to search the element as is, or by the words it contains.
It make sense to tokenize a text field, but it does not to do it for a date field or an id field. Note that fields used for sorting must not be tokenized. Finally, the id property of an entity is a special property used by Hibernate Search to ensure index unicity of a given entity.
By design, an id has to be stored and must not be tokenized. To mark a property as index id, use the DocumentId annotation. These annotations define an index with three fields: id , Abstract and text. Let replace be false. Let source be subject 's node document 's browsing context. Let targetAttributeValue be the empty string. If subject is an a or area element, then set targetAttributeValue to the result of getting an element's target given subject.
Let noopener be the result of getting an element's noopener with subject and targetAttributeValue. Let target and replace be the result of applying the rules for choosing a browsing context given targetAttributeValue , source , and noopener.
If target is null, then return. Parse the URL given by subject 's href attribute, relative to subject 's node document. Otherwise, if parsing the URL failed, the user agent may report the error to the user in a user-agent-specific manner, may queue an element task on the DOM manipulation task source given subject to navigate the target browsing context to an error page to report the error, or may ignore the error and do nothing.
In any case, the user agent must then return. If there is a hyperlink suffix , append it to URL. Let request be a new request whose url is URL and whose referrer policy is the current state of subject 's referrerpolicy content attribute. If subject 's link types includes the noreferrer keyword, then set request 's referrer to " no-referrer ".
Queue an element task on the DOM manipulation task source given subject to navigate the target browsing context to request. If replace is true, the navigation must be performed with replacement enabled. The source browsing context must be source. To indicate that a resource is intended to be downloaded for use later, rather than immediately used, the download attribute can be specified on the a or area element that creates the hyperlink to that resource. The attribute can furthermore be given a value, to specify the file name that user agents are to use when storing the resource in a file system.
This is to protect users from being made to download sensitive personal or confidential information without their full understanding. The following allowed to download algorithm takes an initiator browsing context and an instantiator browsing context , and returns a boolean indicating whether or not downloading is allowed:. Optionally, the user agent may return false, if it believes doing so would safeguard the user from a potentially hostile download.
Return true. When a user downloads a hyperlink created by an element subject , optionally with a hyperlink suffix , the user agent must run the following steps:. Run the allowed to download algorithm with the subject 's node document 's browsing context and null.
If the algorithm returns false, then return. If parsing the URL fails, the user agent may report the error to the user in a user-agent-specific manner, may navigate to an error page to report the error, or may ignore the error and do nothing. In either case, the user agent must return. Run these steps in parallel :. Let request be a new request whose url is URL , client is entry settings object , initiator is " download ", destination is the empty string, and whose synchronous flag and use-URL-credentials flag are set.
Handle the result of fetching request as a download. When a user agent is to handle a resource obtained from a fetch as a download , it should provide the user with a way to save the resource for later use, if a resource is successfully obtained.
Otherwise, it should report any problems downloading the file to the user. If the user agent needs a file name for a resource being handled as a download , it should select one using the following algorithm.
This algorithm is intended to mitigate security dangers involved in downloading files from untrusted sites, and user agents are strongly urged to follow it. Let filename be the void value. Let resource origin be the origin of the URL of the resource being downloaded, unless that URL's scheme component is data , in which case let resource origin be the same as the interface origin , if any.
If there is no interface origin , then let trusted operation be true. Otherwise, let trusted operation be true if resource origin is the same origin as interface origin , and false otherwise.
Let proposed filename have the value of the download attribute of the element of the hyperlink that initiated the download at the time the download was initiated. If trusted operation is true, let filename have the value of proposed filename , and jump to the step labeled sanitize below.
Let filename be set to the user's preferred file name or to a file name selected by the user agent, and jump to the step labeled sanitize below.
If the algorithm reaches this step, then a download was begun from a different origin than the resource being downloaded, and the origin did not mark the file as suitable for downloading, and the download was not initiated by the user. This could be because a download attribute was used to trigger the download, or because the resource in question is not of a type that the user agent supports.
This could be dangerous, because, for instance, a hostile server could be trying to get a user to unknowingly download private information and then re-upload it to the hostile server, by tricking the user into thinking the data is from the hostile server.
Thus, it is in the user's interests that the user be somehow notified that the resource in question comes from quite a different source, and to prevent confusion, any suggested file name from the potentially hostile interface origin should be ignored. Sanitize : Optionally, allow the user to influence filename.
For example, a user agent could prompt the user for a file name, potentially providing the value of filename as determined above as a default value. Adjust filename to be suitable for the local file system. For example, this could involve removing characters that are not legal in file names, or trimming leading and trailing whitespace.
If the platform conventions do not in any way use extensions to determine the types of file on the file system, then return filename as the file name. Let claimed type be the type given by the resource's Content-Type metadata , if any is known.
Let named type be the type given by filename 's extension , if any is known. For the purposes of this step, a type is a mapping of a MIME type to an extension. If named type is consistent with the user's preferences e. If claimed type and named type are the same type i. If the claimed type is known, then alter filename to add an extension corresponding to claimed type.
Otherwise, if named type is known to be potentially dangerous e. This last step would make it impossible to download executables, which might not be desirable.
As always, implementers are forced to balance security and usability in this matter. Return filename as the file name. For the purposes of this algorithm, a file extension consists of any part of the file name that platform conventions dictate will be used for identifying the type of the file.
For example, many operating systems use the part of the file name following the last dot ". User agents should ignore any directory or path information provided by the resource itself, its URL , and any download attribute, in deciding where to store the resulting file in the user's file system.
If a hyperlink created by an a or area element has a ping attribute, and the user follows the hyperlink, and the value of the element's href attribute can be parsed , relative to the element's node document , without failure, then the user agent must take the ping attribute's value, split that string on ASCII whitespace , parse each resulting token relative to the element's node document , and then run these steps for each resulting URL record ping URL , ignoring tokens that fail to parse:.
Optionally, return. For example, the user agent might wish to ignore any or all ping URLs in accordance with the user's expressed preferences.
Fetch request. This may be done in parallel with the primary fetch, and is independent of the result of that fetch. Based on the user's preferences, UAs may either ignore the ping attribute altogether, or selectively ignore URLs in the list e. User agents must ignore any entity bodies returned in the responses. User agents may close the connection prematurely once they start receiving a response body. When the ping attribute is present, user agents should clearly indicate to the user that following the hyperlink will also cause secondary requests to be sent in the background, possibly including listing the actual target URLs.
Thus, while it is possible to track users without this feature, authors are encouraged to use the ping attribute so that the user agent can make the user experience more transparent. This table is non-normative; the actual definitions for the link types are given in the next few sections. In this section, the term referenced document refers to the resource identified by the element representing the link, and the term current document refers to the resource within which the element representing the link finds itself.
To determine which link types apply to a link , a , area , or form element, the element's rel attribute must be split on ASCII whitespace. The resulting tokens are the keywords for the link types that apply to that element.
Except where otherwise specified, a keyword must not be specified more than once per rel attribute. Some of the sections that follow the table below list synonyms for certain keywords.
The indicated synonyms are to be handled as specified by user agents, but must not be used in documents for example, the keyword " copyright ". Keywords that are body-ok affect whether link elements are allowed in the body. The body-ok keywords defined by this specification are dns-prefetch , modulepreload , pingback , preconnect , prefetch , preload , prerender , and stylesheet.
Other specifications can also define body-ok keywords. Opera Yes Edge? Edge Legacy? Internet Explorer? Chrome Android? WebView Android? Samsung Internet?
Opera Android? The alternate keyword may be used with link , a , and area elements. The alternate keyword modifies the meaning of the stylesheet keyword in the way described for that keyword.
The alternate keyword does not create a link of its own. Here, a set of link elements provide some style sheets:. The keyword creates a hyperlink referencing a syndication feed though not necessarily syndicating exactly the same content as the current page.
If the user agent has the concept of a default syndication feed, the first such element in tree order should be used as the default. The following link elements give syndication feeds for a blog:. Such link elements would be used by user agents engaged in feed autodiscovery, with the first being the default where applicable. The following example offers various different syndication feeds to the user, using a elements:.
The keyword creates a hyperlink referencing an alternate representation of the current document. The nature of the referenced document is given by the hreflang , and type attributes.
If the alternate keyword is used with the hreflang attribute, and that attribute's value differs from the document element 's language , it indicates that the referenced document is a translation.
If the alternate keyword is used with the type attribute, it indicates that the referenced document is a reformulation of the current document in the specified format. The hreflang and type attributes can be combined when specified with the alternate keyword. The following example shows how you can specify versions of the page that use alternative formats, are aimed at other languages, and that are intended for other media:.
This relationship is transitive — that is, if a document links to two other documents with the link type " alternate ", then, in addition to implying that those documents are alternative representations of the first document, it is also implying that those two documents are alternative representations of each other.
The author keyword may be used with link , a , and area elements. This keyword creates a hyperlink. For a and area elements, the author keyword indicates that the referenced document provides further information about the author of the nearest article element ancestor of the element defining the hyperlink, if there is one, or of the page as a whole, otherwise. For link elements, the author keyword indicates that the referenced document provides further information about the author for the page as a whole.
The "referenced document" can be, and often is, a mailto: URL giving the e-mail address of the author.
Synonyms : For historical reasons, user agents must also treat link , a , and area elements that have a rev attribute with the value " made " as having the author keyword specified as a link relationship. The bookmark keyword may be used with a and area elements. The bookmark keyword gives a permalink for the nearest ancestor article element of the linking element in question, or of the section the linking element is most closely associated with , if there are no ancestor article elements.
The following snippet has three permalinks. A user agent could determine which permalink applies to which part of the spec by looking at where the permalinks are given. The canonical keyword may be used with link element. That helps search engines reduce duplicate content, as described in more detail in The Canonical Link Relation. The dns-prefetch keyword may be used with link elements. This keyword creates an external resource link.
This keyword is body-ok. The dns-prefetch keyword indicates that preemptively performing DNS resolution for the origin of the specified resource is likely to be beneficial, as it is highly likely that the user will require resources located at that origin , and the user experience would be improved by preempting the latency costs associated with DNS resolution. User agents must implement the processing model of the dns-prefetch keyword described in Resource Hints.
There is no default type for resources given by the dns-prefetch keyword. The external keyword may be used with a , area , and form elements. This keyword does not create a hyperlink , but annotates any other hyperlinks created by the element the implied hyperlink, if no other keywords create one. The external keyword indicates that the link is leading to a document that is not part of the site that the current document forms a part of. The help keyword may be used with link , a , area , and form elements.
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