public boolean hasPrimaryKey() {
        return false;
    }

    @Override
    public boolean hasCompoundPrimaryKey() {
        return false;
    }

    @Override
    protected UniqueInfo cpui() {
        return null;
    }

    // ===================================================================================
    //                                                                           Type Name

    public boolean hasPrimaryKey() {
        return false;
    }

    @Override
    public boolean hasCompoundPrimaryKey() {
        return false;
    }

    @Override
    protected UniqueInfo cpui() {
        return null;
    }

    // ===================================================================================
    //                                                                           Type Name

And as most of the execution time is taken by actual work (instead of waiting), and the work in a computer is done by a <abbr title="Central Processing Unit">CPU</abbr>, they call these problems "CPU bound".

---

Common examples of CPU bound operations are things that require complex math processing.

For example:

* **Audio** or **image processing**.

    public boolean hasPrimaryKey() {
        return false;
    }

    @Override
    public boolean hasCompoundPrimaryKey() {
        return false;
    }

    @Override
    protected UniqueInfo cpui() {
        return null;
    }

    // ===================================================================================
    //                                                                           Type Name

of Go values and free that space manually all at once, safely. The purpose
of this functionality is to improve efficiency: manually freeing memory
before a garbage collection delays that cycle. Less frequent cycles means
the CPU cost of the garbage collector is incurred less frequently.

This functionality in this package is mostly captured in the Arena type.
Arenas allocate large chunks of memory for Go values, so they're likely to

    public boolean hasPrimaryKey() {
        return false;
    }

    @Override
    public boolean hasCompoundPrimaryKey() {
        return false;
    }

    @Override
    protected UniqueInfo cpui() {
        return null;
    }

    // ===================================================================================
    //                                                                           Type Name

}

var testCases = []struct {
	name  string
	array bool
}{
	{
		name: "parking-citations-10",
	},
}

func TestNDJSON(t *testing.T) {
	if !simdjson.SupportedCPU() {
		t.Skip("Unsupported cpu")
	}

	for _, tt := range testCases {
		t.Run(tt.name, func(t *testing.T) {
			ref := loadCompressed(t, tt.name)

			var err error
			dst := make(chan simdjson.Object, 100)

    public boolean hasPrimaryKey() {
        return false;
    }

    @Override
    public boolean hasCompoundPrimaryKey() {
        return false;
    }

    @Override
    protected UniqueInfo cpui() {
        return null;
    }

    // ===================================================================================
    //                                                                           Type Name

	processLocksWriteTotalMD          = NewGaugeMD(processLocksWriteTotal, "Number of current WRITE locks on this peer")
	processCPUTotalSecondsMD          = NewCounterMD(processCPUTotalSeconds, "Total user and system CPU time spent in seconds")
	processGoRoutineTotalMD           = NewGaugeMD(processGoRoutineTotal, "Total number of go routines running")

各プロセスの **PID** も表示されていて、親プロセス（これは**プロセスマネージャー**）が `27365`、各ワーカープロセスがそれぞれ `27368`、`27369`、`27370`、`27367` です。

## デプロイメントのコンセプト { #deployment-concepts }

ここでは、複数の **ワーカー** を使ってアプリケーションの実行を**並列化**し、CPUの**複数コア**を活用して、**より多くのリクエスト**を処理できるようにする方法を見てきました。

上のデプロイメントのコンセプトのリストから、ワーカーを使うことは主に**レプリケーション**の部分と、**再起動**を少し助けてくれますが、それ以外については引き続き対処が必要です：

* **セキュリティ - HTTPS**
* **起動時の実行**
* ***再起動***
* レプリケーション（実行中のプロセス数）