Event Fieldsedit

These fields contain data about the transaction itself.


type: date

example: 2015-01-24 14:06:05.071000

format: YYYY-MM-DDTHH:MM:SS.milliZ

required: True

The timestamp of the event, as measured either by the Beat or by a common collector point. The precision is in milliseconds. The timezone is UTC.


required: True

The type of the transaction (for example, HTTP, MySQL, Redis, or RUM).


type: int

required: True

A count of the number of transactions that this event represents. This is generally the inverse of the sampling rate. For example, for a sample rate of 1/10, the count is 10. The count is used by the UIs to return estimated values.


required: True

Indicates whether the transaction is inbound (emitted by server) or outbound (emitted by the client). Values can be in or out. No defaults.


required: True

The high level status of the transaction. The way to compute this value depends on the protocol, but the result has a meaning independent of the protocol.


The command/verb/method of the transaction. For HTTP, this is the method name (GET, POST, PUT, and so on), for SQL this is the verb (SELECT, UPDATE, DELETE, and so on).


The logical resource that this transaction refers to. For HTTP, this is the URL path up to the last slash (/). For example, if the URL is /users/1, the resource is /users. For databases, the resource is typically the table name. The field is not filled for all transaction types.


required: True

The path the transaction refers to. For HTTP, this is the URL. For SQL databases, this is the table name. For key-value stores, this is the key.


type: string

The query in a human readable format. For HTTP, it will typically be something like GET /users/_search?name=test. For MySQL, it is something like SELECT id from users where name=test.


The request parameters. For HTTP, these are the POST or GET parameters. For Thrift-RPC, these are the parameters from the request.


Messages from Packetbeat itself. This field usually contains error messages for interpreting the raw data. This information can be helpful for troubleshooting.