Command-Line Basic Client
AMPS contains a command-line client, spark
, which can be used to run queries, place subscriptions, and publish data. While it can be used for each of these purposes, spark
is provided as a useful tool for informal testing and troubleshooting of AMPS instances. For example, you can use spark
to test whether an AMPS instance is reachable from a particular system, or use spark
to perform ad hoc queries to inspect the data in AMPS.
This chapter describes the commands available in the spark
utility. For more information on the features available in AMPS, see the relevant chapters in this guide.
The spark
utility is included in the bin
directory of the AMPS install location. The spark
client is written in Java, so running spark
requires a Java Virtual Machine for Java 1.7 or later.
To run this client, simply type ./bin/spark
at the command line from the AMPS installation directory. AMPS will output the help screen as shown below, with a brief description of the spark
client features.
Getting Help with Spark
spark
requires that a supported command is passed as an argument. Within each supported command, there are additional unique requirements and options available to change the behavior of spark
and how it interacts with the AMPS engine.
For example, if more information was needed to run a publish
command in spark
, the following would display the help screen for the spark
client's publish
feature.
Spark Commands
Below, the commands supported by spark
will be shown, along with some examples of how to use the various commands and descriptions of the most commonly used options. For the full range of options provided by spark
, including options provided for compatibility with previous spark
releases, use the spark help
command as described above.
Publish
The publish
command is used to publish data to a topic on an AMPS server.
Common Options - spark publish
Option
Definition
server
(required)
AMPS server to connect to.
topic
(required)
Topic to publish to.
delimiter
Decimal value of message separator character (default 10).
delta
Use delta publish (sends a delta_publish
command to AMPS).
file
File to publish messages from, stdin when omitted. spark
interprets each line in the input as a message.
The file provided to this argument can be either uncompressed or compressed in ZIP format.
proto
Protocol to use.
In this release, spark
supports amps
, fix
, nvfix
and xml
.
Defaults to amps
. spark
also supports json
as a synonym for amps
in this release.
rate
Messages to publish per second.
This is a decimal value, so values less than 1 can be provided to create a delay of more than a second between messages. '.25' implies 1 message every 4 seconds. '1000' implies 1000 messages per second.
type
For protocols and transports that accept multiple message types on a given transport, specifies the message type to use.
Examples
The examples shown below will demonstrate how to publish records to AMPS using the spark
client in one of the three following ways: a single record, a python script or by file.
Publish a Single Message
In the example above, a single record is published to AMPS using the echo
command. If you are comfortable with creating records by hand this is a simple and effective way to test publishing in AMPS.
The JSON message is published to the topic order on the AMPS instance. This publish can be followed with a sow
command in spark
to test if the record was indeed published to the order topic.
Publish using Python
In the example above, the -c
flag is used to pass in a simple loop and print command to the python interpreter and have it print the results to stdout
.
The python script generates 100 JSON messages of the form {"id":0}
, {"id":1}
... {"id":99}
. The output of this command is then piped to spark using the |
character, which will publish the messages to the disorder topic inside the AMPS instance.
Publish from a File
Generating a file of test data is a common way to test AMPS functionality. The example above demonstrates how to publish a file of data to the topic chaos in an AMPS server. As previously mentioned, spark
interprets each line of the file as a distinct message.
SOW
The sow
command allows a spark
client to query the latest messages which have been persisted to a topic. The SOW in AMPS acts as a database last update cache, and the sow
command in spark
is one of the ways to query the database. This sow
command supports regular expression topic matching and content filtering, which allow a query to be very specific when looking for data.
For the sow
command to succeed, the topic queried must provide a SOW. This includes SOW topics and views, queues, and conflated topics. These features of AMPS are discussed in more detail in this guide.
Common Options - spark sow
Option
Definition
server
(required)
AMPS server to connect to.
topic
(required)
Topic to query.
batchsize
Batch Size to use during query.
copy
Publishes records to the secondary server specified.
filter
The content filter to use.
proto
Protocol to use.
In this release, spark
supports amps
, fix
, nvfix
and xml
.
Defaults to amps
. spark
also supports json
as a synonym for amps
in this release.
orderby
An expression that AMPS will use to order the results.
topn
Request AMPS to limit the query response to the first N records returned.
type
For protocols and transports that accept multiple message types on a given transport, specifies the message type to use.
format
Optional format used for displaying messages. May contain literal separator characters mixed with format tags.
Allowed tags are:
{bookmark}
, {command}
, {correlation_id}
, {data}
, {expiration}
, {lease_period}
, {length}
, {sowkey}
, {user_id}
, {timestamp}
, {topic}
Example: -format "{command}:{data}"
Examples
This sow
command will query the order topic and filter results which match the xpath expression /id = '1'
. This query will return the results in the topic, for example, the record published in the previous publish command.
If the topic does not provide a SOW, the command returns an error indicating that the command is not valid for that topic.
Subscribe
The subscribe
command allows a spark
client to query all incoming messages to a topic in real time. Similar to the sow
command, the subscribe
command supports regular expression topic matching and content filtering, which allow a query to be very specific when looking for data as it is published to AMPS. Unlike the sow
command, a subscription can be placed on a topic which does not have a persistent SOW cache configured. This allows a subscribe
command to be very flexible in the messages it can be configured to receive.
Common Options - spark subscribe
Option
Definition
server
(required)
AMPS server to connect to.
topic
(required)
Topic to subscribe to.
copy
Publishes records to the secondary server specified.
delta
Use delta subscription (sends a delta_subscribe
command to AMPS).
filter
Content filter to use.
proto
Protocol to use.
In this release, spark
supports amps
, fix
, nvfix
and xml
.
Defaults to amps
. spark
also supports json
as a synonym for amps
in this release.
ack
Enable acknowledgments when receiving from a queue.
backlog
type
For protocols and transports that accept multiple message types on a given transport, specifies the message type to use.
format
Optional format used for displaying messages. May contain literal separator characters mixed with format tags.
Allowed tags are:
{bookmark}
, {command}
, {correlation_id}
, {data}
, {expiration}
, {lease_period}
, {length}
, {sowkey}
, {user_id}
, {timestamp}
, {topic}
Example: -format "{command}:{data}"
Examples
The example above places a subscription on the chaos topic with a filter that will only return results for messages where /name = 'cup'
. If we place this subscription before executing the publish
command, in the publish records from a file example, then we will get the results listed above.
sow_and_subscribe
The sow_and_subscribe
command is a combination of the sow
command and the subscribe
command. When a sow_and_subscribe
is requested, AMPS will first return all messages which match the query and are stored in the SOW. Once this has completed, all messages which match the subscription query will then be sent to the client.
The sow_and_subscribe
is a powerful tool to use when it is necessary to examine both the contents of the SOW, and the live subscription stream.
Common Options - spark sow_and_subscribe
Option
Definition
server
(required)
AMPS server to connect to.
topic
(required)
Topic to query and subscribe to.
batchsize
Batch size to use during query.
copy
Publishes records to the secondary server specified.
delta
Request delta for subscriptions (sends a sow_and_delta_subscribe
command to AMPS).
filter
Content filter to use.
proto
Protocol to use.
In this release, spark
supports amps
, fix
, nvfix
and xml
.
Defaults to amps
. spark
also supports json
as a synonym for amps
in this release.
orderby
An expression that AMPS will use to order the SOW query results.
topn
Request AMPS to limit the SOW query results to the first N records returned.
type
For protocols and transports that accept multiple message types on a given transport, specifies the message type to use.
format
Optional format used for displaying messages. May contain literal separator characters mixed with format tags.
Allowed tags are:
{bookmark}
, {command}
, {correlation_id}
, {data}
, {expiration}
, {lease_period}
, {length}
, {sowkey}
, {user_id}
, {timestamp}
, {topic}
Example: -format "{command}:{data}"
Examples
In the previous example, the same topic and filter are being used as in the sow_and_subscribe
example above. The results of this query initially are similar, since only the messages which are stored in the SOW are returned. If a publisher were started that published data to the topic that matched the content filter, those messages would then be printed out to the screen in the same manner as a subscription.
sow_delete
The sow_delete
command is used to remove records from the SOW topic in AMPS. If a filter is specified, only messages which match the filter will be removed. If a file is provided, the command reads messages from the file and sends those messages to AMPS. AMPS will delete the matching messages from the SOW. If no filter or file is specified, the command reads messages from standard input (one per line) and sends those messages to AMPS for deletion.
It can be useful to test a filter by first using the desired filter in a sow
command and making sure the records returned match what is expected. If that is successful, then it is safe to use the filter for a sow_delete
. Once records are deleted from the SOW, they are not recoverable.
Common Options - sow_delete
Option
Definition
server
(required)
AMPS server to connect to.
topic
(required)
Topic to delete records from.
filter
Content filter to use.
Notice that a filter of 1=1
is true for every message and will delete the entire set of records in the SOW.
file
File from which to read messages to be deleted.
proto
Protocol to use.
In this release, spark
supports amps
, fix
, nvfix
and xml
.
Defaults to amps
. spark
also supports json
as a synonym for amps
in this release.
type
For protocols and transports that accept multiple message types on a given transport, specifies the message type to use.
Examples
With the sow_delete
command above, we are asking for AMPS to delete records in the topic chaos which match the filter /name = 'cup'
. In this example, we delete the record we published and queried previously in the publish
and sow_and_subscribe
examples, respectively. spark
reports that one matching message was removed from the SOW topic.
Ping
The spark ping
command is used to connect to the amps instance and attempt to logon. This tool is useful to determine if an AMPS instance is running and responsive.
Common Options - spark ping
Option
Definition
server
(required)
AMPS server to connect to.
proto
Protocol to use.
In this release, spark
supports amps
, fix
, nvfix
and xml
.
Defaults to amps
. spark
also supports json
as a synonym for amps
in this release.
Examples
In the example above, spark
was able to successfully log onto the AMPS instance that was located on port 9007
.
In the example above, spark
was not able to successfully log onto the AMPS instance that was located on port 9119
. The error shows the exception thrown by spark
, which in this case was a ConnectionRefusedException
from Java.
Spark Authentication
spark
includes a way to provide credentials to AMPS for use with instances that are configured to require authentication. For example, to use a specific user ID and password to authenticate to AMPS, simply provide them in the URI in the format user:password@host:port
.
The command below shows how to use spark to subscribe to a server, providing the specified username and password to AMPS.
AMPS also provides the ability to implement custom authentication, and many production deployments use customized authentication methods. To support this, the spark
authentication scheme is customizable. By default, the authentication scheme used by spark
simply provides the username and password from the -server
parameter, as described above.
Authentication schemes for spark
are implemented in Java, as classes that implement Authenticator
-- the same method used by the AMPS Java client. To use a different authentication scheme with spark
, you implement the AuthenticatorFactory
interface in spark
to return your custom authenticator, adjust the CLASSPATH to include the .jar
file that contains the authenticator, and then provide the name of your AuthenticatorFactory
on the command line. See the AMPS Java Client API documentation for details on implementing a custom Authenticator
.
The command below explicitly loads the default factory, found in the spark
package, without adjusting the CLASSPATH.
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