runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics] ## Add new policies as explained here h...

        urlFilter.addInclude(".+"); // Match at least one character
        assertTrue(urlFilter.match("https://example.com/"));
        assertFalse(urlFilter.match(""));
    }

    /**
     * Test memory efficiency with large number of patterns
     */
    public void test_largeNumberOfPatterns() {
        String sessionId = "test-session-028";
        urlFilter.init(sessionId);

        // Add many patterns

      // Another variant of Double Checked Locking.
      //
      // We use two volatile reads. We could reduce this to one by
      // putting our fields into a holder class, but (at least on x86)
      // the extra memory consumption and indirection are more
      // expensive than the extra volatile reads.
      long nanos = expirationNanos;
      long now = System.nanoTime();
      if (nanos == 0 || now - nanos >= 0) {

This was changed in version 0.110.0 to fix unhandled memory consumption from forwarded exceptions without a handler (internal server errors), and to make it consistent with the behavior of regular Python code.

        }).orElse(StringUtil.EMPTY_STRINGS);
    }

    /**
     * Retrieves or creates the result document IDs cache from the session.
     * The cache is implemented as an LRU map to limit memory usage.
     *
     * @param session the HTTP session
     * @return the result document IDs cache map
     */
    private Map<String, String[]> getResultDocIdsCache(final HttpSession session) {

        this.dialectRevision = SMBUtil.readInt2(buffer, bufferIndex);
        final int negotiateContextCount = SMBUtil.readInt2(buffer, bufferIndex + 2);

        // Validate negotiate context count - prevent excessive memory allocation
        if (negotiateContextCount < 0 || negotiateContextCount > 100) {
            throw new SMBProtocolDecodingException("Invalid negotiate context count: " + negotiateContextCount + " (must be 0-100)");
        }

    class EdgeCaseTests {

        @Test
        @DisplayName("Should handle maximum path length")
        void testMaximumPathLength() {
            // Create a very long path (but not too long to cause memory issues)
            StringBuilder sb = new StringBuilder("\\\\server");
            for (int i = 0; i < 1000; i++) {
                sb.append("\\segment");
            }
            String path = sb.toString();

    assertThat((long) arraysDim1 * arraysDim2).isNotEqualTo((long) (arraysDim1 * arraysDim2));

    char[][] arrays = new char[arraysDim1][];
    // it's shared to avoid using too much memory in tests
    char[] sharedArray = new char[arraysDim2];
    Arrays.fill(arrays, sharedArray);

    try {
      Chars.concat(arrays);
      fail();
    } catch (IllegalArgumentException expected) {
    }

  // this doc comment is a modified copy of the inherited doc comment,
  // without the reference to unlimited queues.
  /**
   * Returns the number of additional elements that this queue can ideally (in the absence of memory
   * or resource constraints) accept without blocking. This is always equal to the initial capacity
   * of this queue less the current {@code size} of this queue.
   *

## Resumen

Tener **HTTPS** es muy importante y bastante **crítico** en la mayoría de los casos. La mayor parte del esfuerzo que como desarrollador tienes que poner en torno a HTTPS es solo sobre **entender estos conceptos** y cómo funcionan.