}

    /**
     * Returns whether the content is cached in memory.
     *
     * @return true if the content is in memory, false if it is in a file
     */
    public boolean isInMemory() {
        return data != null;
    }

    /**
     * Returns the content as a byte array.
     * If the content is cached in memory, a clone of the data is returned.

### Memory per Process { #memory-per-process }

Now, when the program loads things in memory, for example, a machine learning model in a variable, or the contents of a large file in a variable, all that **consumes a bit of the memory (RAM)** of the server.

        // requireNonNull is safe because we always have either `file` or `memory`.
        requireNonNull(memory);
        return new ByteArrayInputStream(memory.getBuffer(), 0, memory.getCount());
      }
    }

    synchronized void reset() throws IOException {
      try {
        close();
      } finally {
        if (memory == null) {
          memory = new MemoryOutput();
        } else {
          memory.reset();

        cos.close();
        assertTrue(file.exists());
    }

    @Test
    public void testThresholdOne() throws IOException {
        // With threshold 1, writing 1 byte should stay in memory
        ContentOutputStream cos = new ContentOutputStream(1, Curl.tmpDir);
        cos.write(new byte[] { 1 });
        assertTrue(cos.isInMemory());
        assertFalse(cos.done);
        cos.close();
    }

* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

## Memory { #memory }

If you run **a single process per container** you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).

You could also use it to stream **large binary files**, where you stream each chunk of data as you read it, without having to read it all in memory at once.

You could also stream **video** or **audio** this way, it could even be generated as you process and send it.

## A `StreamingResponse` with `yield` { #a-streamingresponse-with-yield }

        long memory1 = MemoryUtil.getUsedMemory();
        assertTrue(memory1 >= 0);

        // Create some objects to change memory usage
        @SuppressWarnings("unused")
        String[] largeArray = new String[1000];
        for (int i = 0; i < 1000; i++) {
            largeArray[i] = "test" + i;
        }

        long memory2 = MemoryUtil.getUsedMemory();

* You don't have to use `File()` in the default value of the parameter.
* It uses a "spooled" file:
    * A file stored in memory up to a maximum size limit, and after passing this limit it will be stored in disk.
* This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory.
* You can get metadata from the uploaded file.

          "build-cache",
          "flow-services",
          "input-tracking",
          "internal-integ-testing",
          "model-core",
          "persistent-cache",
          "process-memory-services",
          "scala",
          "snapshots",
          "testing-base-infrastructure"
        ],
        "parallelizationMethod": {
          "name": "TestDistribution"
        }
      },

        // Test that constructor accepts Error as cause (verifies Throwable parameter change)
        String message = "SSO login failed due to memory error";
        OutOfMemoryError error = new OutOfMemoryError("Not enough memory for SSO login");
        SsoLoginException exception = new SsoLoginException(message, error);

        assertEquals(message, exception.getMessage());