Advertising API

Package gocql implements a fast and robust Cassandra driver for the Go programming language. Pass a list of initial node IP addresses to NewCluster to create a new cluster configuration: Port can be specified as part of the address, the above is equivalent to: It is recommended to use the value set in the Cassandra config for broadcast_address or listen_address, an IP address not a domain name. This is because events from Cassandra will use the configured IP address, which is used to index connected hosts. If the domain name specified resolves to more than 1 IP address then the driver may connect multiple times to the same host, and will not mark the node being down or up from events. Then you can customize more options (see ClusterConfig): The driver tries to automatically detect the protocol version to use if not set, but you might want to set the protocol version explicitly, as it's not defined which version will be used in certain situations (for example during upgrade of the cluster when some of the nodes support different set of protocol versions than other nodes). The driver advertises the module name and version in the STARTUP message, so servers are able to detect the version. If you use replace directive in go.mod, the driver will send information about the replacement module instead. When ready, create a session from the configuration. Don't forget to Close the session once you are done with it: CQL protocol uses a SASL-based authentication mechanism and so consists of an exchange of server challenges and client response pairs. The details of the exchanged messages depend on the authenticator used. To use authentication, set ClusterConfig.Authenticator or ClusterConfig.AuthProvider. PasswordAuthenticator is provided to use for username/password authentication: It is possible to secure traffic between the client and server with TLS. To use TLS, set the ClusterConfig.SslOpts field. SslOptions embeds *tls.Config so you can set that directly. There are also helpers to load keys/certificates from files. Warning: Due to historical reasons, the SslOptions is insecure by default, so you need to set EnableHostVerification to true if no Config is set. Most users should set SslOptions.Config to a *tls.Config. SslOptions and Config.InsecureSkipVerify interact as follows: For example: To route queries to local DC first, use DCAwareRoundRobinPolicy. For example, if the datacenter you want to primarily connect is called dc1 (as configured in the database): The driver can route queries to nodes that hold data replicas based on partition key (preferring local DC). Note that TokenAwareHostPolicy can take options such as gocql.ShuffleReplicas and gocql.NonLocalReplicasFallback. We recommend running with a token aware host policy in production for maximum performance. The driver can only use token-aware routing for queries where all partition key columns are query parameters. For example, instead of use The DCAwareRoundRobinPolicy can be replaced with RackAwareRoundRobinPolicy, which takes two parameters, datacenter and rack. Instead of dividing hosts with two tiers (local datacenter and remote datacenters) it divides hosts into three (the local rack, the rest of the local datacenter, and everything else). RackAwareRoundRobinPolicy can be combined with TokenAwareHostPolicy in the same way as DCAwareRoundRobinPolicy. Create queries with Session.Query. Query values must not be reused between different executions and must not be modified after starting execution of the query. To execute a query without reading results, use Query.Exec: Single row can be read by calling Query.Scan: Multiple rows can be read using Iter.Scanner: See Example for complete example. The driver automatically prepares DML queries (SELECT/INSERT/UPDATE/DELETE/BATCH statements) and maintains a cache of prepared statements. CQL protocol does not support preparing other query types. When using CQL protocol >= 4, it is possible to use gocql.UnsetValue as the bound value of a column. This will cause the database to ignore writing the column. The main advantage is the ability to keep the same prepared statement even when you don't want to update some fields, where before you needed to make another prepared statement. Session is safe to use from multiple goroutines, so to execute multiple concurrent queries, just execute them from several worker goroutines. Gocql provides synchronously-looking API (as recommended for Go APIs) and the queries are executed asynchronously at the protocol level. Null values are are unmarshalled as zero value of the type. If you need to distinguish for example between text column being null and empty string, you can unmarshal into *string variable instead of string. See Example_nulls for full example. The driver reuses backing memory of slices when unmarshalling. This is an optimization so that a buffer does not need to be allocated for every processed row. However, you need to be careful when storing the slices to other memory structures. When you want to save the data for later use, pass a new slice every time. A common pattern is to declare the slice variable within the scanner loop: The driver supports paging of results with automatic prefetch, see ClusterConfig.PageSize, Session.SetPrefetch, Query.PageSize, and Query.Prefetch. It is also possible to control the paging manually with Query.PageState (this disables automatic prefetch). Manual paging is useful if you want to store the page state externally, for example in a URL to allow users browse pages in a result. You might want to sign/encrypt the paging state when exposing it externally since it contains data from primary keys. Paging state is specific to the CQL protocol version and the exact query used. It is meant as opaque state that should not be modified. If you send paging state from different query or protocol version, then the behaviour is not defined (you might get unexpected results or an error from the server). For example, do not send paging state returned by node using protocol version 3 to a node using protocol version 4. Also, when using protocol version 4, paging state between Cassandra 2.2 and 3.0 is incompatible (https://issues.apache.org/jira/browse/CASSANDRA-10880). The driver does not check whether the paging state is from the same protocol version/statement. You might want to validate yourself as this could be a problem if you store paging state externally. For example, if you store paging state in a URL, the URLs might become broken when you upgrade your cluster. Call Query.PageState(nil) to fetch just the first page of the query results. Pass the page state returned by Iter.PageState to Query.PageState of a subsequent query to get the next page. If the length of slice returned by Iter.PageState is zero, there are no more pages available (or an error occurred). Using too low values of PageSize will negatively affect performance, a value below 100 is probably too low. While Cassandra returns exactly PageSize items (except for last page) in a page currently, the protocol authors explicitly reserved the right to return smaller or larger amount of items in a page for performance reasons, so don't rely on the page having the exact count of items. See Example_paging for an example of manual paging. There are certain situations when you don't know the list of columns in advance, mainly when the query is supplied by the user. Iter.Columns, Iter.RowData, Iter.MapScan and Iter.SliceMap can be used to handle this case. See Example_dynamicColumns. The CQL protocol supports sending batches of DML statements (INSERT/UPDATE/DELETE) and so does gocql. Use Session.NewBatch to create a new batch and then fill-in details of individual queries. Then execute the batch with Session.ExecuteBatch. Logged batches ensure atomicity, either all or none of the operations in the batch will succeed, but they have overhead to ensure this property. Unlogged batches don't have the overhead of logged batches, but don't guarantee atomicity. Updates of counters are handled specially by Cassandra so batches of counter updates have to use CounterBatch type. A counter batch can only contain statements to update counters. For unlogged batches it is recommended to send only single-partition batches (i.e. all statements in the batch should involve only a single partition). Multi-partition batch needs to be split by the coordinator node and re-sent to correct nodes. With single-partition batches you can send the batch directly to the node for the partition without incurring the additional network hop. It is also possible to pass entire BEGIN BATCH .. APPLY BATCH statement to Query.Exec. There are differences how those are executed. BEGIN BATCH statement passed to Query.Exec is prepared as a whole in a single statement. Session.ExecuteBatch prepares individual statements in the batch. If you have variable-length batches using the same statement, using Session.ExecuteBatch is more efficient. See Example_batch for an example. Query.ScanCAS or Query.MapScanCAS can be used to execute a single-statement lightweight transaction (an INSERT/UPDATE .. IF statement) and reading its result. See example for Query.MapScanCAS. Multiple-statement lightweight transactions can be executed as a logged batch that contains at least one conditional statement. All the conditions must return true for the batch to be applied. You can use Session.ExecuteBatchCAS and Session.MapExecuteBatchCAS when executing the batch to learn about the result of the LWT. See example for Session.MapExecuteBatchCAS. Queries can be marked as idempotent. Marking the query as idempotent tells the driver that the query can be executed multiple times without affecting its result. Non-idempotent queries are not eligible for retrying nor speculative execution. Idempotent queries are retried in case of errors based on the configured RetryPolicy. Queries can be retried even before they fail by setting a SpeculativeExecutionPolicy. The policy can cause the driver to retry on a different node if the query is taking longer than a specified delay even before the driver receives an error or timeout from the server. When a query is speculatively executed, the original execution is still executing. The two parallel executions of the query race to return a result, the first received result will be returned. UDTs can be mapped (un)marshaled from/to map[string]interface{} a Go struct (or a type implementing UDTUnmarshaler, UDTMarshaler, Unmarshaler or Marshaler interfaces). For structs, cql tag can be used to specify the CQL field name to be mapped to a struct field: See Example_userDefinedTypesMap, Example_userDefinedTypesStruct, ExampleUDTMarshaler, ExampleUDTUnmarshaler. It is possible to provide observer implementations that could be used to gather metrics: CQL protocol also supports tracing of queries. When enabled, the database will write information about internal events that happened during execution of the query. You can use Query.Trace to request tracing and receive the session ID that the database used to store the trace information in system_traces.sessions and system_traces.events tables. NewTraceWriter returns an implementation of Tracer that writes the events to a writer. Gathering trace information might be essential for debugging and optimizing queries, but writing traces has overhead, so this feature should not be used on production systems with very high load unless you know what you are doing. Example_batch demonstrates how to execute a batch of statements. Example_dynamicColumns demonstrates how to handle dynamic column list. Example_marshalerUnmarshaler demonstrates how to implement a Marshaler and Unmarshaler. Example_nulls demonstrates how to distinguish between null and zero value when needed. Null values are unmarshalled as zero value of the type. If you need to distinguish for example between text column being null and empty string, you can unmarshal into *string field. Example_paging demonstrates how to manually fetch pages and use page state. See also package documentation about paging. Example_set demonstrates how to use sets. Example_userDefinedTypesMap demonstrates how to work with user-defined types as maps. See also Example_userDefinedTypesStruct and examples for UDTMarshaler and UDTUnmarshaler if you want to map to structs. Example_userDefinedTypesStruct demonstrates how to work with user-defined types as structs. See also examples for UDTMarshaler and UDTUnmarshaler if you need more control/better performance.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package paapi5 APIs for Amazon Product Advertising API v5 client

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package amazonproduct provides methods for interacting with the Amazon Product Advertising API

Package gocql implements a fast and robust Cassandra driver for the Go programming language. Pass a list of initial node IP addresses to NewCluster to create a new cluster configuration: Port can be specified as part of the address, the above is equivalent to: It is recommended to use the value set in the Cassandra config for broadcast_address or listen_address, an IP address not a domain name. This is because events from Cassandra will use the configured IP address, which is used to index connected hosts. If the domain name specified resolves to more than 1 IP address then the driver may connect multiple times to the same host, and will not mark the node being down or up from events. Then you can customize more options (see ClusterConfig): The driver tries to automatically detect the protocol version to use if not set, but you might want to set the protocol version explicitly, as it's not defined which version will be used in certain situations (for example during upgrade of the cluster when some of the nodes support different set of protocol versions than other nodes). The driver advertises the module name and version in the STARTUP message, so servers are able to detect the version. If you use replace directive in go.mod, the driver will send information about the replacement module instead. When ready, create a session from the configuration. Don't forget to Close the session once you are done with it: CQL protocol uses a SASL-based authentication mechanism and so consists of an exchange of server challenges and client response pairs. The details of the exchanged messages depend on the authenticator used. To use authentication, set ClusterConfig.Authenticator or ClusterConfig.AuthProvider. PasswordAuthenticator is provided to use for username/password authentication: It is possible to secure traffic between the client and server with TLS. To use TLS, set the ClusterConfig.SslOpts field. SslOptions embeds *tls.Config so you can set that directly. There are also helpers to load keys/certificates from files. Warning: Due to historical reasons, the SslOptions is insecure by default, so you need to set EnableHostVerification to true if no Config is set. Most users should set SslOptions.Config to a *tls.Config. SslOptions and Config.InsecureSkipVerify interact as follows: For example: To route queries to local DC first, use DCAwareRoundRobinPolicy. For example, if the datacenter you want to primarily connect is called dc1 (as configured in the database): The driver can route queries to nodes that hold data replicas based on partition key (preferring local DC). Note that TokenAwareHostPolicy can take options such as gocql.ShuffleReplicas and gocql.NonLocalReplicasFallback. We recommend running with a token aware host policy in production for maximum performance. The driver can only use token-aware routing for queries where all partition key columns are query parameters. For example, instead of use The DCAwareRoundRobinPolicy can be replaced with RackAwareRoundRobinPolicy, which takes two parameters, datacenter and rack. Instead of dividing hosts with two tiers (local datacenter and remote datacenters) it divides hosts into three (the local rack, the rest of the local datacenter, and everything else). RackAwareRoundRobinPolicy can be combined with TokenAwareHostPolicy in the same way as DCAwareRoundRobinPolicy. Create queries with Session.Query. Query values must not be reused between different executions and must not be modified after starting execution of the query. To execute a query without reading results, use Query.Exec: Single row can be read by calling Query.Scan: Multiple rows can be read using Iter.Scanner: See Example for complete example. The driver automatically prepares DML queries (SELECT/INSERT/UPDATE/DELETE/BATCH statements) and maintains a cache of prepared statements. CQL protocol does not support preparing other query types. When using CQL protocol >= 4, it is possible to use gocql.UnsetValue as the bound value of a column. This will cause the database to ignore writing the column. The main advantage is the ability to keep the same prepared statement even when you don't want to update some fields, where before you needed to make another prepared statement. Session is safe to use from multiple goroutines, so to execute multiple concurrent queries, just execute them from several worker goroutines. Gocql provides synchronously-looking API (as recommended for Go APIs) and the queries are executed asynchronously at the protocol level. Null values are are unmarshalled as zero value of the type. If you need to distinguish for example between text column being null and empty string, you can unmarshal into *string variable instead of string. See Example_nulls for full example. The driver reuses backing memory of slices when unmarshalling. This is an optimization so that a buffer does not need to be allocated for every processed row. However, you need to be careful when storing the slices to other memory structures. When you want to save the data for later use, pass a new slice every time. A common pattern is to declare the slice variable within the scanner loop: The driver supports paging of results with automatic prefetch, see ClusterConfig.PageSize, Session.SetPrefetch, Query.PageSize, and Query.Prefetch. It is also possible to control the paging manually with Query.PageState (this disables automatic prefetch). Manual paging is useful if you want to store the page state externally, for example in a URL to allow users browse pages in a result. You might want to sign/encrypt the paging state when exposing it externally since it contains data from primary keys. Paging state is specific to the CQL protocol version and the exact query used. It is meant as opaque state that should not be modified. If you send paging state from different query or protocol version, then the behaviour is not defined (you might get unexpected results or an error from the server). For example, do not send paging state returned by node using protocol version 3 to a node using protocol version 4. Also, when using protocol version 4, paging state between Cassandra 2.2 and 3.0 is incompatible (https://issues.apache.org/jira/browse/CASSANDRA-10880). The driver does not check whether the paging state is from the same protocol version/statement. You might want to validate yourself as this could be a problem if you store paging state externally. For example, if you store paging state in a URL, the URLs might become broken when you upgrade your cluster. Call Query.PageState(nil) to fetch just the first page of the query results. Pass the page state returned by Iter.PageState to Query.PageState of a subsequent query to get the next page. If the length of slice returned by Iter.PageState is zero, there are no more pages available (or an error occurred). Using too low values of PageSize will negatively affect performance, a value below 100 is probably too low. While Cassandra returns exactly PageSize items (except for last page) in a page currently, the protocol authors explicitly reserved the right to return smaller or larger amount of items in a page for performance reasons, so don't rely on the page having the exact count of items. See Example_paging for an example of manual paging. There are certain situations when you don't know the list of columns in advance, mainly when the query is supplied by the user. Iter.Columns, Iter.RowData, Iter.MapScan and Iter.SliceMap can be used to handle this case. See Example_dynamicColumns. The CQL protocol supports sending batches of DML statements (INSERT/UPDATE/DELETE) and so does gocql. Use Session.NewBatch to create a new batch and then fill-in details of individual queries. Then execute the batch with Session.ExecuteBatch. Logged batches ensure atomicity, either all or none of the operations in the batch will succeed, but they have overhead to ensure this property. Unlogged batches don't have the overhead of logged batches, but don't guarantee atomicity. Updates of counters are handled specially by Cassandra so batches of counter updates have to use CounterBatch type. A counter batch can only contain statements to update counters. For unlogged batches it is recommended to send only single-partition batches (i.e. all statements in the batch should involve only a single partition). Multi-partition batch needs to be split by the coordinator node and re-sent to correct nodes. With single-partition batches you can send the batch directly to the node for the partition without incurring the additional network hop. It is also possible to pass entire BEGIN BATCH .. APPLY BATCH statement to Query.Exec. There are differences how those are executed. BEGIN BATCH statement passed to Query.Exec is prepared as a whole in a single statement. Session.ExecuteBatch prepares individual statements in the batch. If you have variable-length batches using the same statement, using Session.ExecuteBatch is more efficient. See Example_batch for an example. Query.ScanCAS or Query.MapScanCAS can be used to execute a single-statement lightweight transaction (an INSERT/UPDATE .. IF statement) and reading its result. See example for Query.MapScanCAS. Multiple-statement lightweight transactions can be executed as a logged batch that contains at least one conditional statement. All the conditions must return true for the batch to be applied. You can use Session.ExecuteBatchCAS and Session.MapExecuteBatchCAS when executing the batch to learn about the result of the LWT. See example for Session.MapExecuteBatchCAS. Queries can be marked as idempotent. Marking the query as idempotent tells the driver that the query can be executed multiple times without affecting its result. Non-idempotent queries are not eligible for retrying nor speculative execution. Idempotent queries are retried in case of errors based on the configured RetryPolicy. If the query is LWT and the configured RetryPolicy additionally implements LWTRetryPolicy interface, then the policy will be cast to LWTRetryPolicy and used this way. Queries can be retried even before they fail by setting a SpeculativeExecutionPolicy. The policy can cause the driver to retry on a different node if the query is taking longer than a specified delay even before the driver receives an error or timeout from the server. When a query is speculatively executed, the original execution is still executing. The two parallel executions of the query race to return a result, the first received result will be returned. UDTs can be mapped (un)marshaled from/to map[string]interface{} a Go struct (or a type implementing UDTUnmarshaler, UDTMarshaler, Unmarshaler or Marshaler interfaces). For structs, cql tag can be used to specify the CQL field name to be mapped to a struct field: See Example_userDefinedTypesMap, Example_userDefinedTypesStruct, ExampleUDTMarshaler, ExampleUDTUnmarshaler. It is possible to provide observer implementations that could be used to gather metrics: CQL protocol also supports tracing of queries. When enabled, the database will write information about internal events that happened during execution of the query. You can use Query.Trace to request tracing and receive the session ID that the database used to store the trace information in system_traces.sessions and system_traces.events tables. NewTraceWriter returns an implementation of Tracer that writes the events to a writer. Gathering trace information might be essential for debugging and optimizing queries, but writing traces has overhead, so this feature should not be used on production systems with very high load unless you know what you are doing. Example_batch demonstrates how to execute a batch of statements. Example_dynamicColumns demonstrates how to handle dynamic column list. Example_marshalerUnmarshaler demonstrates how to implement a Marshaler and Unmarshaler. Example_nulls demonstrates how to distinguish between null and zero value when needed. Null values are unmarshalled as zero value of the type. If you need to distinguish for example between text column being null and empty string, you can unmarshal into *string field. Example_paging demonstrates how to manually fetch pages and use page state. See also package documentation about paging. Example_set demonstrates how to use sets. Example_userDefinedTypesMap demonstrates how to work with user-defined types as maps. See also Example_userDefinedTypesStruct and examples for UDTMarshaler and UDTUnmarshaler if you want to map to structs. Example_userDefinedTypesStruct demonstrates how to work with user-defined types as structs. See also examples for UDTMarshaler and UDTUnmarshaler if you need more control/better performance.

Package gocql implements a fast and robust Cassandra driver for the Go programming language. Pass a list of initial node IP addresses to NewCluster to create a new cluster configuration: Port can be specified as part of the address, the above is equivalent to: It is recommended to use the value set in the Cassandra config for broadcast_address or listen_address, an IP address not a domain name. This is because events from Cassandra will use the configured IP address, which is used to index connected hosts. If the domain name specified resolves to more than 1 IP address then the driver may connect multiple times to the same host, and will not mark the node being down or up from events. Then you can customize more options (see ClusterConfig): The driver tries to automatically detect the protocol version to use if not set, but you might want to set the protocol version explicitly, as it's not defined which version will be used in certain situations (for example during upgrade of the cluster when some of the nodes support different set of protocol versions than other nodes). The driver advertises the module name and version in the STARTUP message, so servers are able to detect the version. If you use replace directive in go.mod, the driver will send information about the replacement module instead. When ready, create a session from the configuration. Don't forget to Close the session once you are done with it: CQL protocol uses a SASL-based authentication mechanism and so consists of an exchange of server challenges and client response pairs. The details of the exchanged messages depend on the authenticator used. To use authentication, set ClusterConfig.Authenticator or ClusterConfig.AuthProvider. PasswordAuthenticator is provided to use for username/password authentication: It is possible to secure traffic between the client and server with TLS. To use TLS, set the ClusterConfig.SslOpts field. SslOptions embeds *tls.Config so you can set that directly. There are also helpers to load keys/certificates from files. Warning: Due to historical reasons, the SslOptions is insecure by default, so you need to set EnableHostVerification to true if no Config is set. Most users should set SslOptions.Config to a *tls.Config. SslOptions and Config.InsecureSkipVerify interact as follows: For example: To route queries to local DC first, use DCAwareRoundRobinPolicy. For example, if the datacenter you want to primarily connect is called dc1 (as configured in the database): The driver can route queries to nodes that hold data replicas based on partition key (preferring local DC). Note that TokenAwareHostPolicy can take options such as gocql.ShuffleReplicas and gocql.NonLocalReplicasFallback. We recommend running with a token aware host policy in production for maximum performance. The driver can only use token-aware routing for queries where all partition key columns are query parameters. For example, instead of use The DCAwareRoundRobinPolicy can be replaced with RackAwareRoundRobinPolicy, which takes two parameters, datacenter and rack. Instead of dividing hosts with two tiers (local datacenter and remote datacenters) it divides hosts into three (the local rack, the rest of the local datacenter, and everything else). RackAwareRoundRobinPolicy can be combined with TokenAwareHostPolicy in the same way as DCAwareRoundRobinPolicy. Create queries with Session.Query. Query values must not be reused between different executions and must not be modified after starting execution of the query. To execute a query without reading results, use Query.Exec: Single row can be read by calling Query.Scan: Multiple rows can be read using Iter.Scanner: See Example for complete example. The driver automatically prepares DML queries (SELECT/INSERT/UPDATE/DELETE/BATCH statements) and maintains a cache of prepared statements. CQL protocol does not support preparing other query types. When using CQL protocol >= 4, it is possible to use gocql.UnsetValue as the bound value of a column. This will cause the database to ignore writing the column. The main advantage is the ability to keep the same prepared statement even when you don't want to update some fields, where before you needed to make another prepared statement. Session is safe to use from multiple goroutines, so to execute multiple concurrent queries, just execute them from several worker goroutines. Gocql provides synchronously-looking API (as recommended for Go APIs) and the queries are executed asynchronously at the protocol level. Null values are are unmarshalled as zero value of the type. If you need to distinguish for example between text column being null and empty string, you can unmarshal into *string variable instead of string. See Example_nulls for full example. The driver reuses backing memory of slices when unmarshalling. This is an optimization so that a buffer does not need to be allocated for every processed row. However, you need to be careful when storing the slices to other memory structures. When you want to save the data for later use, pass a new slice every time. A common pattern is to declare the slice variable within the scanner loop: The driver supports paging of results with automatic prefetch, see ClusterConfig.PageSize, Session.SetPrefetch, Query.PageSize, and Query.Prefetch. It is also possible to control the paging manually with Query.PageState (this disables automatic prefetch). Manual paging is useful if you want to store the page state externally, for example in a URL to allow users browse pages in a result. You might want to sign/encrypt the paging state when exposing it externally since it contains data from primary keys. Paging state is specific to the CQL protocol version and the exact query used. It is meant as opaque state that should not be modified. If you send paging state from different query or protocol version, then the behaviour is not defined (you might get unexpected results or an error from the server). For example, do not send paging state returned by node using protocol version 3 to a node using protocol version 4. Also, when using protocol version 4, paging state between Cassandra 2.2 and 3.0 is incompatible (https://issues.apache.org/jira/browse/CASSANDRA-10880). The driver does not check whether the paging state is from the same protocol version/statement. You might want to validate yourself as this could be a problem if you store paging state externally. For example, if you store paging state in a URL, the URLs might become broken when you upgrade your cluster. Call Query.PageState(nil) to fetch just the first page of the query results. Pass the page state returned by Iter.PageState to Query.PageState of a subsequent query to get the next page. If the length of slice returned by Iter.PageState is zero, there are no more pages available (or an error occurred). Using too low values of PageSize will negatively affect performance, a value below 100 is probably too low. While Cassandra returns exactly PageSize items (except for last page) in a page currently, the protocol authors explicitly reserved the right to return smaller or larger amount of items in a page for performance reasons, so don't rely on the page having the exact count of items. See Example_paging for an example of manual paging. There are certain situations when you don't know the list of columns in advance, mainly when the query is supplied by the user. Iter.Columns, Iter.RowData, Iter.MapScan and Iter.SliceMap can be used to handle this case. See Example_dynamicColumns. The CQL protocol supports sending batches of DML statements (INSERT/UPDATE/DELETE) and so does gocql. Use Session.NewBatch to create a new batch and then fill-in details of individual queries. Then execute the batch with Session.ExecuteBatch. Logged batches ensure atomicity, either all or none of the operations in the batch will succeed, but they have overhead to ensure this property. Unlogged batches don't have the overhead of logged batches, but don't guarantee atomicity. Updates of counters are handled specially by Cassandra so batches of counter updates have to use CounterBatch type. A counter batch can only contain statements to update counters. For unlogged batches it is recommended to send only single-partition batches (i.e. all statements in the batch should involve only a single partition). Multi-partition batch needs to be split by the coordinator node and re-sent to correct nodes. With single-partition batches you can send the batch directly to the node for the partition without incurring the additional network hop. It is also possible to pass entire BEGIN BATCH .. APPLY BATCH statement to Query.Exec. There are differences how those are executed. BEGIN BATCH statement passed to Query.Exec is prepared as a whole in a single statement. Session.ExecuteBatch prepares individual statements in the batch. If you have variable-length batches using the same statement, using Session.ExecuteBatch is more efficient. See Example_batch for an example. Query.ScanCAS or Query.MapScanCAS can be used to execute a single-statement lightweight transaction (an INSERT/UPDATE .. IF statement) and reading its result. See example for Query.MapScanCAS. Multiple-statement lightweight transactions can be executed as a logged batch that contains at least one conditional statement. All the conditions must return true for the batch to be applied. You can use Session.ExecuteBatchCAS and Session.MapExecuteBatchCAS when executing the batch to learn about the result of the LWT. See example for Session.MapExecuteBatchCAS. Queries can be marked as idempotent. Marking the query as idempotent tells the driver that the query can be executed multiple times without affecting its result. Non-idempotent queries are not eligible for retrying nor speculative execution. Idempotent queries are retried in case of errors based on the configured RetryPolicy. Queries can be retried even before they fail by setting a SpeculativeExecutionPolicy. The policy can cause the driver to retry on a different node if the query is taking longer than a specified delay even before the driver receives an error or timeout from the server. When a query is speculatively executed, the original execution is still executing. The two parallel executions of the query race to return a result, the first received result will be returned. UDTs can be mapped (un)marshaled from/to map[string]interface{} a Go struct (or a type implementing UDTUnmarshaler, UDTMarshaler, Unmarshaler or Marshaler interfaces). For structs, cql tag can be used to specify the CQL field name to be mapped to a struct field: See Example_userDefinedTypesMap, Example_userDefinedTypesStruct, ExampleUDTMarshaler, ExampleUDTUnmarshaler. It is possible to provide observer implementations that could be used to gather metrics: CQL protocol also supports tracing of queries. When enabled, the database will write information about internal events that happened during execution of the query. You can use Query.Trace to request tracing and receive the session ID that the database used to store the trace information in system_traces.sessions and system_traces.events tables. NewTraceWriter returns an implementation of Tracer that writes the events to a writer. Gathering trace information might be essential for debugging and optimizing queries, but writing traces has overhead, so this feature should not be used on production systems with very high load unless you know what you are doing. Example_batch demonstrates how to execute a batch of statements. Example_dynamicColumns demonstrates how to handle dynamic column list. Example_marshalerUnmarshaler demonstrates how to implement a Marshaler and Unmarshaler. Example_nulls demonstrates how to distinguish between null and zero value when needed. Null values are unmarshalled as zero value of the type. If you need to distinguish for example between text column being null and empty string, you can unmarshal into *string field. Example_paging demonstrates how to manually fetch pages and use page state. See also package documentation about paging. Example_set demonstrates how to use sets. Example_userDefinedTypesMap demonstrates how to work with user-defined types as maps. See also Example_userDefinedTypesStruct and examples for UDTMarshaler and UDTUnmarshaler if you want to map to structs. Example_userDefinedTypesStruct demonstrates how to work with user-defined types as structs. See also examples for UDTMarshaler and UDTUnmarshaler if you need more control/better performance.

Package entityresolution provides the API client, operations, and parameter types for AWS EntityResolution. Welcome to the Entity Resolution API Reference. Entity Resolution is an Amazon Web Services service that provides pre-configured entity resolution capabilities that enable developers and analysts at advertising and marketing companies to build an accurate and complete view of their consumers. With Entity Resolution, you can match source records containing consumer identifiers, such as name, email address, and phone number. This is true even when these records have incomplete or conflicting identifiers. For example, Entity Resolution can effectively match a source record from a customer relationship management (CRM) system with a source record from a marketing system containing campaign information. To learn more about Entity Resolution concepts, procedures, and best practices, see the Entity Resolution User Guide.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package paapi5 APIs for Amazon Product Advertising API v5 client

Package gocql implements a fast and robust Cassandra driver for the Go programming language. Pass a list of initial node IP addresses to NewCluster to create a new cluster configuration: Port can be specified as part of the address, the above is equivalent to: It is recommended to use the value set in the Cassandra config for broadcast_address or listen_address, an IP address not a domain name. This is because events from Cassandra will use the configured IP address, which is used to index connected hosts. If the domain name specified resolves to more than 1 IP address then the driver may connect multiple times to the same host, and will not mark the node being down or up from events. Then you can customize more options (see ClusterConfig): The driver tries to automatically detect the protocol version to use if not set, but you might want to set the protocol version explicitly, as it's not defined which version will be used in certain situations (for example during upgrade of the cluster when some of the nodes support different set of protocol versions than other nodes). The driver advertises the module name and version in the STARTUP message, so servers are able to detect the version. If you use replace directive in go.mod, the driver will send information about the replacement module instead. When ready, create a session from the configuration. Don't forget to Close the session once you are done with it: CQL protocol uses a SASL-based authentication mechanism and so consists of an exchange of server challenges and client response pairs. The details of the exchanged messages depend on the authenticator used. To use authentication, set ClusterConfig.Authenticator or ClusterConfig.AuthProvider. PasswordAuthenticator is provided to use for username/password authentication: It is possible to secure traffic between the client and server with TLS. To use TLS, set the ClusterConfig.SslOpts field. SslOptions embeds *tls.Config so you can set that directly. There are also helpers to load keys/certificates from files. Warning: Due to historical reasons, the SslOptions is insecure by default, so you need to set EnableHostVerification to true if no Config is set. Most users should set SslOptions.Config to a *tls.Config. SslOptions and Config.InsecureSkipVerify interact as follows: For example: To route queries to local DC first, use DCAwareRoundRobinPolicy. For example, if the datacenter you want to primarily connect is called dc1 (as configured in the database): The driver can route queries to nodes that hold data replicas based on partition key (preferring local DC). Note that TokenAwareHostPolicy can take options such as gocql.ShuffleReplicas and gocql.NonLocalReplicasFallback. We recommend running with a token aware host policy in production for maximum performance. The driver can only use token-aware routing for queries where all partition key columns are query parameters. For example, instead of use The DCAwareRoundRobinPolicy can be replaced with RackAwareRoundRobinPolicy, which takes two parameters, datacenter and rack. Instead of dividing hosts with two tiers (local datacenter and remote datacenters) it divides hosts into three (the local rack, the rest of the local datacenter, and everything else). RackAwareRoundRobinPolicy can be combined with TokenAwareHostPolicy in the same way as DCAwareRoundRobinPolicy. Create queries with Session.Query. Query values must not be reused between different executions and must not be modified after starting execution of the query. To execute a query without reading results, use Query.Exec: Single row can be read by calling Query.Scan: Multiple rows can be read using Iter.Scanner: See Example for complete example. The driver automatically prepares DML queries (SELECT/INSERT/UPDATE/DELETE/BATCH statements) and maintains a cache of prepared statements. CQL protocol does not support preparing other query types. When using CQL protocol >= 4, it is possible to use gocql.UnsetValue as the bound value of a column. This will cause the database to ignore writing the column. The main advantage is the ability to keep the same prepared statement even when you don't want to update some fields, where before you needed to make another prepared statement. Session is safe to use from multiple goroutines, so to execute multiple concurrent queries, just execute them from several worker goroutines. Gocql provides synchronously-looking API (as recommended for Go APIs) and the queries are executed asynchronously at the protocol level. Null values are are unmarshalled as zero value of the type. If you need to distinguish for example between text column being null and empty string, you can unmarshal into *string variable instead of string. See Example_nulls for full example. The driver reuses backing memory of slices when unmarshalling. This is an optimization so that a buffer does not need to be allocated for every processed row. However, you need to be careful when storing the slices to other memory structures. When you want to save the data for later use, pass a new slice every time. A common pattern is to declare the slice variable within the scanner loop: The driver supports paging of results with automatic prefetch, see ClusterConfig.PageSize, Session.SetPrefetch, Query.PageSize, and Query.Prefetch. It is also possible to control the paging manually with Query.PageState (this disables automatic prefetch). Manual paging is useful if you want to store the page state externally, for example in a URL to allow users browse pages in a result. You might want to sign/encrypt the paging state when exposing it externally since it contains data from primary keys. Paging state is specific to the CQL protocol version and the exact query used. It is meant as opaque state that should not be modified. If you send paging state from different query or protocol version, then the behaviour is not defined (you might get unexpected results or an error from the server). For example, do not send paging state returned by node using protocol version 3 to a node using protocol version 4. Also, when using protocol version 4, paging state between Cassandra 2.2 and 3.0 is incompatible (https://issues.apache.org/jira/browse/CASSANDRA-10880). The driver does not check whether the paging state is from the same protocol version/statement. You might want to validate yourself as this could be a problem if you store paging state externally. For example, if you store paging state in a URL, the URLs might become broken when you upgrade your cluster. Call Query.PageState(nil) to fetch just the first page of the query results. Pass the page state returned by Iter.PageState to Query.PageState of a subsequent query to get the next page. If the length of slice returned by Iter.PageState is zero, there are no more pages available (or an error occurred). Using too low values of PageSize will negatively affect performance, a value below 100 is probably too low. While Cassandra returns exactly PageSize items (except for last page) in a page currently, the protocol authors explicitly reserved the right to return smaller or larger amount of items in a page for performance reasons, so don't rely on the page having the exact count of items. See Example_paging for an example of manual paging. There are certain situations when you don't know the list of columns in advance, mainly when the query is supplied by the user. Iter.Columns, Iter.RowData, Iter.MapScan and Iter.SliceMap can be used to handle this case. See Example_dynamicColumns. The CQL protocol supports sending batches of DML statements (INSERT/UPDATE/DELETE) and so does gocql. Use Session.NewBatch to create a new batch and then fill-in details of individual queries. Then execute the batch with Session.ExecuteBatch. Logged batches ensure atomicity, either all or none of the operations in the batch will succeed, but they have overhead to ensure this property. Unlogged batches don't have the overhead of logged batches, but don't guarantee atomicity. Updates of counters are handled specially by Cassandra so batches of counter updates have to use CounterBatch type. A counter batch can only contain statements to update counters. For unlogged batches it is recommended to send only single-partition batches (i.e. all statements in the batch should involve only a single partition). Multi-partition batch needs to be split by the coordinator node and re-sent to correct nodes. With single-partition batches you can send the batch directly to the node for the partition without incurring the additional network hop. It is also possible to pass entire BEGIN BATCH .. APPLY BATCH statement to Query.Exec. There are differences how those are executed. BEGIN BATCH statement passed to Query.Exec is prepared as a whole in a single statement. Session.ExecuteBatch prepares individual statements in the batch. If you have variable-length batches using the same statement, using Session.ExecuteBatch is more efficient. See Example_batch for an example. Query.ScanCAS or Query.MapScanCAS can be used to execute a single-statement lightweight transaction (an INSERT/UPDATE .. IF statement) and reading its result. See example for Query.MapScanCAS. Multiple-statement lightweight transactions can be executed as a logged batch that contains at least one conditional statement. All the conditions must return true for the batch to be applied. You can use Session.ExecuteBatchCAS and Session.MapExecuteBatchCAS when executing the batch to learn about the result of the LWT. See example for Session.MapExecuteBatchCAS. Queries can be marked as idempotent. Marking the query as idempotent tells the driver that the query can be executed multiple times without affecting its result. Non-idempotent queries are not eligible for retrying nor speculative execution. Idempotent queries are retried in case of errors based on the configured RetryPolicy. If the query is LWT and the configured RetryPolicy additionally implements LWTRetryPolicy interface, then the policy will be cast to LWTRetryPolicy and used this way. Queries can be retried even before they fail by setting a SpeculativeExecutionPolicy. The policy can cause the driver to retry on a different node if the query is taking longer than a specified delay even before the driver receives an error or timeout from the server. When a query is speculatively executed, the original execution is still executing. The two parallel executions of the query race to return a result, the first received result will be returned. UDTs can be mapped (un)marshaled from/to map[string]interface{} a Go struct (or a type implementing UDTUnmarshaler, UDTMarshaler, Unmarshaler or Marshaler interfaces). For structs, cql tag can be used to specify the CQL field name to be mapped to a struct field: See Example_userDefinedTypesMap, Example_userDefinedTypesStruct, ExampleUDTMarshaler, ExampleUDTUnmarshaler. It is possible to provide observer implementations that could be used to gather metrics: CQL protocol also supports tracing of queries. When enabled, the database will write information about internal events that happened during execution of the query. You can use Query.Trace to request tracing and receive the session ID that the database used to store the trace information in system_traces.sessions and system_traces.events tables. NewTraceWriter returns an implementation of Tracer that writes the events to a writer. Gathering trace information might be essential for debugging and optimizing queries, but writing traces has overhead, so this feature should not be used on production systems with very high load unless you know what you are doing. Example_batch demonstrates how to execute a batch of statements. Example_dynamicColumns demonstrates how to handle dynamic column list. Example_marshalerUnmarshaler demonstrates how to implement a Marshaler and Unmarshaler. Example_nulls demonstrates how to distinguish between null and zero value when needed. Null values are unmarshalled as zero value of the type. If you need to distinguish for example between text column being null and empty string, you can unmarshal into *string field. Example_paging demonstrates how to manually fetch pages and use page state. See also package documentation about paging. Example_set demonstrates how to use sets. Example_userDefinedTypesMap demonstrates how to work with user-defined types as maps. See also Example_userDefinedTypesStruct and examples for UDTMarshaler and UDTUnmarshaler if you want to map to structs. Example_userDefinedTypesStruct demonstrates how to work with user-defined types as structs. See also examples for UDTMarshaler and UDTUnmarshaler if you need more control/better performance.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. Support for writing a peripheral is mostly done: You can create services and characteristics, advertise, accept connections, and handle requests. Central support is missing: Scan, connect, discover services and characteristics, make requests. gatt only supports Linux, with BlueZ installed. This may change. Installed the required packages, e.g.: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: gatt uses two helper executables. The source for them is in the c directory. There's an included makefile. It currently assumes that your native compiler is gcc and that you want the executables in /usr/local/bin. If /usr/local/bin is not already in your PATH, add it. If you don't like those assumptions, edit the makefile. (TODO: Get someone with strong makefile-fu to help me clean this up.) Root is required in the install phase to give hci-ble permissions to administer the network. Make sure that your BLE device is up: Gatt servers are constructed by creating a new server, adding services and characteristics, and then starting the server. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package adapi is a personal advertisment management API service.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package amazonproduct provides methods for interacting with the Amazon Product Advertising API

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

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Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.

Package gatt provides a Bluetooth Low Energy gatt implementation. Gatt (Generic Attribute Profile) is the protocol used to write BLE peripherals (servers) and centrals (clients). This package is a work in progress. The API will change. As a peripheral, you can create services, characteristics, and descriptors, advertise, accept connections, and handle requests. As a central, you can scan, connect, discover services, and make requests. gatt supports both Linux and OS X. On Linux: To gain complete and exclusive control of the HCI device, gatt uses HCI_CHANNEL_USER (introduced in Linux v3.14) instead of HCI_CHANNEL_RAW. Those who must use an older kernel may patch in these relevant commits from Marcel Holtmann: Note that because gatt uses HCI_CHANNEL_USER, once gatt has opened the device no other program may access it. Before starting a gatt program, make sure that your BLE device is down: If you have BlueZ 5.14+ (or aren't sure), stop the built-in bluetooth server, which interferes with gatt, e.g.: Because gatt programs administer network devices, they must either be run as root, or be granted appropriate capabilities: USAGE See the server.go, discoverer.go, and explorer.go in the examples/ directory for writing server or client programs that run on Linux and OS X. Users, especially on Linux platforms, seeking finer-grained control over the devices can see the examples/server_lnx.go for the usage of Option, which are platform specific. See the rest of the docs for other options and finer-grained control. Note that some BLE central devices, particularly iOS, may aggressively cache results from previous connections. If you change your services or characteristics, you may need to reboot the other device to pick up the changes. This is a common source of confusion and apparent bugs. For an OS X central, see http://stackoverflow.com/questions/20553957. gatt started life as a port of bleno, to which it is indebted: https://github.com/sandeepmistry/bleno. If you are having problems with gatt, particularly around installation, issues filed with bleno might also be helpful references. To try out your GATT server, it is useful to experiment with a generic BLE client. LightBlue is a good choice. It is available free for both iOS and OS X.