NGSIMySQLSink
Content:
Functionality
com.iot.telefonica.cygnus.sinks.NGSIMySQLSink
, or simply NGSIMySQLSink
is a sink designed to persist NGSI-like context data events within a MySQL server. Usually, such a context data is notified by a Orion Context Broker instance, but could be any other system speaking the NGSI language.
Independently of the data generator, NGSI context data is always transformed into internal Flume events at Cygnus sources. In the end, the information within these Flume events must be mapped into specific MySQL data structures.
Next sections will explain this in detail.
Mapping NGSI events to flume events
Notified NGSI events (containing context data) are transformed into Flume events (such an event is a mix of certain headers and a byte-based body), independently of the NGSI data generator or the final backend where it is persisted.
This is done at the Cygnus Http listeners (in Flume jergon, sources) thanks to NGSIRestHandler
. Once translated, the data (now, as a Flume event) is put into the internal channels for future consumption (see next section).
Mapping Flume events to MySQL data structures
MySQL organizes the data in databases that contain tables of data rows. Such organization is exploited by NGSIMySQLSink
each time a Flume event is going to be persisted.
MySQL databases naming conventions
A database named as the notified fiware-service
header value (or, in absence of such a header, the defaulted value for the FIWARE service) is created (if not existing yet).
It must be said MySQL only accepts alphanumerics $
and _
. This leads to certain encoding is applied depending on the enable_encoding
configuration parameter.
MySQL databases name length is limited to 64 characters.
MySQL tables naming conventions
The name of these tables depends on the configured data model (see the Configuration section for more details):
- Data model by service path (
data_model=dm-by-service-path
). As the data model name denotes, the notified FIWARE service path (or the configured one as default inNGSIRestHandler
is used as the name of the table. This allows the data about all the NGSI entities belonging to the same service path is stored in this unique table. The only constraint regarding this data model is the FIWARE service path cannot be the root one (/
). - Data model by entity (
data_model=dm-by-entity
). For each entity, the notified/default FIWARE service path is concatenated to the notified entity ID and type in order to compose the table name. The concatenation character is_
(underscore). If the FIWARE service path is the root one (/
) then only the entity ID and type are concatenated.
It must be said MySQL only accepts alphanumerics $
and _
. This leads to certain encoding is applied depending on the enable_encoding
configuration parameter.
MySQL tables name length is limited to 64 characters.
The following table summarizes the table name composition (old encoding):
FIWARE service path | dm-by-service-path |
dm-by-entity |
---|---|---|
/ |
N/A | <entityId>_<entityType> |
/<svcPath> |
<svcPath> |
<svcPath>_<entityId>_<entityType> |
The following table summarizes the table name composition (new encoding):
FIWARE service path | dm-by-service-path |
dm-by-entity |
---|---|---|
/ |
x002f |
x002fxffff<entityId>xffff<entityType> |
/<svcPath> |
x002f<svcPath> |
x002f<svcPath>xffff<entityId>xffff<entityType> |
Please observe the concatenation of entity ID and type is already given in the notified_entities
/grouped_entities
header values (depending on using or not the grouping rules, see the Configuration section for more details) within the Flume event.
Row-like storing
Regarding the specific data stored within the above table, if attr_persistence
parameter is set to row
(default storing mode) then the notified data is stored attribute by attribute, composing an insert for each one of them. Each insert contains the following fields:
recvTimeTs
: UTC timestamp expressed in miliseconds.recvTime
: UTC timestamp in human-readable format (ISO 8601).fiwareServicePath
: Notified fiware-servicePath, or the default configured one if not notified.entityId
: Notified entity identifier.entityType
: Notified entity type.attrName
: Notified attribute name.attrType
: Notified attribute type.attrValue
: In its simplest form, this value is just a string, but since Orion 0.11.0 it can be Json object or Json array.attrMd
: It contains a string serialization of the metadata array for the attribute in Json (if the attribute hasn't metadata, an empty array[]
is inserted).
Column-like storing
Regarding the specific data stored within the above table, if attr_persistence
parameter is set to column
then a single line is composed for the whole notified entity, containing the following fields:
recvTime
: Timestamp in human-readable format (Similar to ISO 8601, but avoiding theZ
character denoting UTC, since all MySQL timestamps are supposed to be in UTC format).fiwareServicePath
: The notified one or the default one.entityId
: Notified entity identifier.entityType
: Notified entity type.- For each notified attribute, a field named as the attribute is considered. This field will store the attribute values along the time.
- For each notified attribute, a field named as the concatenation of the attribute name and
_md
is considered. This field will store the attribute's metadata values along the time.
Example
Flume event
Assuming the following Flume event is created from a notified NGSI context data (the code below is an object representation, not any real data format):
flume-event={
headers={
content-type=application/json,
timestamp=1429535775,
transactionId=1429535775-308-0000000000,
ttl=10,
fiware-service=vehicles,
fiware-servicepath=/4wheels,
notified-entities=car1_car
notified-servicepaths=/4wheels
grouped-entities=car1_car
grouped-servicepath=/4wheels
},
body={
entityId=car1,
entityType=car,
attributes=[
{
attrName=speed,
attrType=float,
attrValue=112.9
},
{
attrName=oil_level,
attrType=float,
attrValue=74.6
}
]
}
}
Database and table names
The MySQL database name will always be vehicles
.
The MySQL table names will be, depending on the configured data model, the following ones (old encoding):
FIWARE service path | dm-by-service-path |
dm-by-entity |
---|---|---|
/ |
N/A | car1_car |
/4wheels |
4wheels |
4wheels_car1_car |
Using the new encoding:
FIWARE service path | dm-by-service-path |
dm-by-entity |
---|---|---|
/ |
x002f |
car1xffffcar |
/wheels |
x002f4wheels |
x002f4wheelsxffffcar1xffffcar |
Row-like storing
Assuming attr_persistence=row
as configuration parameter, then NGSIMySQLSink
will persist the data within the body as:
mysql> select * from 4wheels_car1_car;
+------------+----------------------------+-------------------+----------+------------+-------------+-----------+-----------+--------+
| recvTimeTs | recvTime | fiwareServicePath | entityId | entityType | attrName | attrType | attrValue | attrMd |
+------------+----------------------------+-------------------+----------+------------+-------------+-----------+-----------+--------+
| 1429535775 | 2015-04-20T12:13:22.41.124 | 4wheels | car1 | car | speed | float | 112.9 | [] |
| 1429535775 | 2015-04-20T12:13:22.41.124 | 4wheels | car1 | car | oil_level | float | 74.6 | [] |
+------------+----------------------------+-------------------+----------+------------+-------------+-----------+-----------+--------+
2 row in set (0.00 sec)
Column-like storing
If attr_persistence=colum
then NGSIMySQLSink
will persist the data within the body as:
mysql> select * from 4wheels_car1_car;
+----------------------------+-------------------+----------+------------+-------+----------+-----------+--------------+
| recvTime | fiwareServicePath | entityId | entityType | speed | speed_md | oil_level | oil_level_md |
+----------------------------+-------------------+----------+------------+-------+----------+-----------+--------------+
| 2015-04-20T12:13:22.41.124 | 4wheels | car1 | car | 112.9 | [] | 74.6 | [] |
+----------------------------+-------------------+----------+------------+-------+----------+-----------+--------------+
1 row in set (0.00 sec)
Administration guide
Configuration
NGSIMySQLSink
is configured through the following parameters:
Parameter | Mandatory | Default value | Comments |
---|---|---|---|
type | yes | N/A | Must be com.telefonica.iot.cygnus.sinks.NGSIMySQLSink |
channel | yes | N/A | |
enable_encoding | no | false | true or false, true applies the new encoding, false applies the old encoding. |
enable_grouping | no | false | true or false. Check this link for more details. |
enable_name_mappings | no | false | true or false. Check this link for more details. |
enable_lowercase | no | false | true or false. |
data_model | no | dm-by-entity | dm-by-service-path or dm-by-entity. dm-by-service and |
mysql_host | no | localhost | FQDN/IP address where the MySQL server runs |
mysql_port | no | 3306 | |
mysql_username | no | root | root is the default username that is created automatically |
mysql_password | no | N/A | Empty value as default (no password is created automatically) |
attr_persistence | no | row | row or column |
batch_size | no | 1 | Number of events accumulated before persistence. |
batch_timeout | no | 30 | Number of seconds the batch will be building before it is persisted as it is. |
batch_ttl | no | 10 | Number of retries when a batch cannot be persisted. Use 0 for no retries, -1 for infinite retries. Please, consider an infinite TTL (even a very large one) may consume all the sink's channel capacity very quickly. |
batch_retry_intervals | no | 5000 | Comma-separated list of intervals (in miliseconds) at which the retries regarding not persisted batches will be done. First retry will be done as many miliseconds after as the first value, then the second retry will be done as many miliseconds after as second value, and so on. If the batch_ttl is greater than the number of intervals, the last interval is repeated. |
A configuration example could be:
cygnus-ngsi.sinks = mysql-sink
cygnus-ngsi.channels = mysql-channel
...
cygnus-ngsi.sinks.mysql-sink.type = com.telefonica.iot.cygnus.sinks.NGSIMySQLSink
cygnus-ngsi.sinks.mysql-sink.channel = mysql-channel
cygnus-ngsi.sinks.mysql-sink.enable_encoding = false
cygnus-ngsi.sinks.mysql-sink.enable_grouping = false
cygnus-ngsi.sinks.mysql-sink.enable_lowercase = false
cygnus-ngsi.sinks.mysql-sink.enable_name_mappings = false
cygnus-ngsi.sinks.mysql-sink.data_model = dm-by-entity
cygnus-ngsi.sinks.mysql-sink.mysql_host = 192.168.80.34
cygnus-ngsi.sinks.mysql-sink.mysql_port = 3306
cygnus-ngsi.sinks.mysql-sink.mysql_username = myuser
cygnus-ngsi.sinks.mysql-sink.mysql_password = mypassword
cygnus-ngsi.sinks.mysql-sink.attr_persistence = row
cygnus-ngsi.sinks.mysql-sink.batch_size = 100
cygnus-ngsi.sinks.mysql-sink.batch_timeout = 30
cygnus-ngsi.sinks.mysql-sink.batch_ttl = 10
cygnus-ngsi.sinks.mysql-sink.batch_retry_intervals = 5000
Use cases
Use NGSIMySQLSink
if you are looking for a database storage not growing so much in the mid-long term.
Important notes
About the table type and its relation with the grouping rules
The table type configuration parameter, as seen, is a method for direct aggregation of data: by default destination (i.e. all the notifications about the same entity will be stored within the same MySQL table) or by default service-path (i.e. all the notifications about the same service-path will be stored within the same MySQL table).
The Grouping feature is another aggregation mechanism, but an inderect one. This means the grouping feature does not really aggregates the data into a single table, that's something the sink will done based on the configured table type (see above), but modifies the default destination or service-path, causing the data is finally aggregated (or not) depending on the table type.
For instance, if the chosen table type is by destination and the grouping feature is not enabled then two different entities data, car1
and car2
both of type car
will be persisted in two different MySQL tables, according to their default destination, i.e. car1_car
and car2_car
, respectively. However, if a grouping rule saying "all cars of type car
will have a modified destination named cars
" is enabled then both entities data will be persisted in a single table named cars
. In this example, the direct aggregation is determined by the table type (by destination), but indirectly we have been deciding the aggregation as well through a grouping rule.
About the persistence mode
Please observe not always the same number of attributes is notified; this depends on the subscription made to the NGSI-like sender. This is not a problem for the row
persistence mode, since fixed 8-fields data rows are inserted for each notified attribute. Nevertheless, the column
mode may be affected by several data rows of different lengths (in term of fields). Thus, the column
mode is only recommended if your subscription is designed for always sending the same attributes, event if they were not updated since the last notification.
In addition, when running in column
mode, due to the number of notified attributes (and therefore the number of fields to be written within the Datastore) is unknown by Cygnus, the table can not be automatically created, and must be provisioned previously to the Cygnus execution. That's not the case of the row
mode since the number of fields to be written is always constant, independently of the number of notified attributes.
About batching
As explained in the programmers guide, NGSIMySQLSink
extends NGSISink
, which provides a built-in mechanism for collecting events from the internal Flume channel. This mechanism allows extending classes have only to deal with the persistence details of such a batch of events in the final backend.
What is important regarding the batch mechanism is it largely increases the performance of the sink, because the number of writes is dramatically reduced. Let's see an example, let's assume a batch of 100 Flume events. In the best case, all these events regard to the same entity, which means all the data within them will be persisted in the same MySQL table. If processing the events one by one, we would need 100 inserts into MySQL; nevertheless, in this example only one insert is required. Obviously, not all the events will always regard to the same unique entity, and many entities may be involved within a batch. But that's not a problem, since several sub-batches of events are created within a batch, one sub-batch per final destination MySQL table. In the worst case, the whole 100 entities will be about 100 different entities (100 different MySQL tables), but that will not be the usual scenario. Thus, assuming a realistic number of 10-15 sub-batches per batch, we are replacing the 100 inserts of the event by event approach with only 10-15 inserts.
The batch mechanism adds an accumulation timeout to prevent the sink stays in an eternal state of batch building when no new data arrives. If such a timeout is reached, then the batch is persisted as it is.
Regarding the retries of not persisted batches, a couple of parameters is used. On the one hand, a Time-To-Live (TTL) is used, specifing the number of retries Cygnus will do before definitely dropping the event. On the other hand, a list of retry intervals can be configured. Such a list defines the first retry interval, then se second retry interval, and so on; if the TTL is greater than the length of the list, then the last retry interval is repeated as many times as necessary.
By default, NGSIMySQLSink
has a configured batch size and batch accumulation timeout of 1 and 30 seconds, respectively. Nevertheless, as explained above, it is highly recommended to increase at least the batch size for performance purposes. Which are the optimal values? The size of the batch it is closely related to the transaction size of the channel the events are got from (it has no sense the first one is greater then the second one), and it depends on the number of estimated sub-batches as well. The accumulation timeout will depend on how often you want to see new data in the final storage. A deeper discussion on the batches of events and their appropriate sizing may be found in the performance document.
Time zone information
Time zone information is not added in MySQL timestamps since MySQL stores that information as a environment variable. MySQL timestamps are stored in UTC time.
About the encoding
Until version 1.2.0 (included), Cygnus applied a very simple encoding:
- All non alphanumeric characters were replaced by underscore,
_
. - The underscore was used as concatenator character as well.
- The slash,
/
, in the FIWARE service paths is ignored.
From version 1.3.0 (included), Cygnus applies this specific encoding tailored to MySQL data structures:
- Alphanumeric characters are not encoded.
- Numeric characters are not encoded.
- Underscore character,
_
, is not encoded. - Equals character,
=
, is encoded asxffff
. - All other characters, including the slash in the FIWARE service paths, are encoded as a
x
character followed by the Unicode of the character. - User defined strings composed of a
x
character and a Unicode are encoded asxx
followed by the Unicode. - All the other characters are not encoded.
xffff
is used as concatenator character.
Despite the old encoding will be deprecated in the future, it is possible to switch the encoding type through the enable_encoding
parameter as explained in the configuration section.
Programmers guide
NGSIMySQLSink
class
As any other NGSI-like sink, NGSIMySQLSink
extends the base NGSISink
. The methods that are extended are:
void persistBatch(Batch batch) throws Exception;
A Batch
contains a set of CygnusEvent
objects, which are the result of parsing the notified context data events. Data within the batch is classified by destination, and in the end, a destination specifies the MySQL table where the data is going to be persisted. Thus, each destination is iterated in order to compose a per-destination data string to be persisted thanks to any MySQLBackend
implementation.
public void start();
An implementation of MySQLBackend
is created. This must be done at the start()
method and not in the constructor since the invoking sequence is NGSIMySQLSink()
(contructor), configure()
and start()
.
public void configure(Context);
A complete configuration as the described above is read from the given Context
instance.
Authentication and authorization
Current implementation of NGSIMySQLSink
relies on the username and password credentials created at the MySQL endpoint.