examples/concurrent-executions/execute-concurrent-array.js
async function example() {
  await client.connect();
  await client.execute(`CREATE KEYSPACE IF NOT EXISTS examples
                        WITH replication = {'class': 'SimpleStrategy', 'replication_factor': '1' }`);
  await client.execute(`USE examples`);
  await client.execute(`CREATE TABLE IF NOT EXISTS tbl_sample_kv (id uuid, value text, PRIMARY KEY (id))`);

  // The maximum amount of async executions that are going to be launched in parallel
  // at any given time
  const concurrencyLevel = 32;

  // Use an Array with 10000 different values
  const values = Array.from(new Array(10000).keys()).map(x => [ Uuid.random(), x.toString() ]);

  try {

    const query = 'INSERT INTO tbl_sample_kv (id, value) VALUES (?, ?)';
    await executeConcurrent(client, query, values);

    console.log(`Finished executing ${values.length} queries with a concurrency level of ${concurrencyLevel}.`);

  } finally {
    client.shutdown();
  }
}
async function example() {
  await client.connect();
  await client.execute(`CREATE KEYSPACE IF NOT EXISTS examples
                        WITH replication = {'class': 'SimpleStrategy', 'replication_factor': '1' }`);
  await client.execute(`USE examples`);
  await client.execute(`CREATE TABLE IF NOT EXISTS tbl_sample_kv (id uuid, value text, PRIMARY KEY (id))`);

  // The maximum amount of async executions that are going to be launched in parallel
  // at any given time
  const concurrencyLevel = 32;

  // Use an Array with 10000 different values
  const values = Array.from(new Array(10000).keys()).map(x => [ Uuid.random(), x.toString() ]);

  try {

    const query = 'INSERT INTO tbl_sample_kv (id, value) VALUES (?, ?)';
    await executeConcurrent(client, query, values);

    console.log(`Finished executing ${values.length} queries with a concurrency level of ${concurrencyLevel}.`);

  } finally {
    client.shutdown();
  }
}
Inserts multiple rows in a table from an Array using the built in method <code>executeConcurrent()</code>,
limiting the amount of parallel requests.