bqlog

type Log struct {
	// QueueName is a name of a pull queue to use as a buffer for inserts.
	//
	// Required. It must be defined in queue.yaml file and it must not be used by
	// any other Log object.
	QueueName string

	// ProjectID is Cloud Project that owns the dataset.
	//
	// If empty, will be derived from the current app ID.
	ProjectID string

	// DatasetID identifies the already existing dataset that contains the table.
	//
	// Required.
	DatasetID string

	// TableID identifies the name of the table in the dataset.
	//
	// Required. The table must exist already.
	TableID string

	// BatchesPerRequest is how many batches of entries to send in one BQ insert.
	//
	// A call to 'Insert' generates one batch of entries, thus BatchesPerRequest
	// essentially specifies how many 'Insert's to clump together when sending
	// data to BigQuery. If your Inserts are known to be huge, lowering this value
	// may help to avoid hitting memory limits.
	//
	// Default is 250. It assumes your batches are very small (1-3 rows), which
	// is usually the case if events are generated by online RPC handlers.
	BatchesPerRequest int

	// MaxParallelUploads is how many parallel ops to do when flushing.
	//
	// We limit it to avoid hitting OOM errors on GAE.
	//
	// Default is 64.
	MaxParallelUploads int

	// FlushTimeout is maximum duration to spend in fetching from Pull Queue in
	// 'Flush'.
	//
	// We limit it to make sure 'Flush' has a chance to finish running before
	// GAE kills it by deadline. Next time 'Flush' is called, it will resume
	// flushing from where it left off.
	//
	// Note that 'Flush' can run for slightly longer, since it waits for all
	// pulled data to be flushed before returning.
	//
	// Default is 1 min.
	FlushTimeout time.Duration

	// DumpEntriesToLogger makes 'Insert' log all entries (at debug level).
	DumpEntriesToLogger bool

	// DryRun disables the actual uploads (keeps the local logging though).
	DryRun bool
	// contains filtered or unexported fields
}