#  The list of table DB names that need to be quoted. Specified tables is quoted on auto-generated SQL.
    #
    #; quoteTableNameList = list:{}
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o quoteColumnNameList: (NotRequired - Default list:{})
    #  The list of column DB names that need to be quoted. Specified columns is quoted on auto-generated SQL.
    #

    hashFunctions[0] = Murmur3_128HashFunction.GOOD_FAST_HASH_128;
    int seed = GOOD_FAST_HASH_SEED;
    for (int i = 1; i < hashFunctionsNeeded; i++) {
      seed += 1500450271; // a prime; shouldn't matter
      hashFunctions[i] = murmur3_128(seed);
    }
    return new ConcatenatedHashFunction(hashFunctions);
  }

  /**

///

## Order the parameters as you need

/// tip

This is probably not as important or necessary if you use `Annotated`.

///

Let's say that you want to declare the query parameter `q` as a required `str`.

And you don't need to declare anything else for that parameter, so you don't really need to use `Query`.

// freezeServices will freeze all incoming S3 API calls.
// For each call, unfreezeServices must be called once.
func freezeServices() {
	// Use atomics for globalServiceFreeze, so we can read without locking.
	// We need a lock since we are need the 2 atomic values to remain in sync.
	globalServiceFreezeMu.Lock()
	// If multiple calls, first one creates channel.
	globalServiceFreezeCnt++
	if globalServiceFreezeCnt == 1 {

# to build the repo. The only dependencies in this mode are to have make and
# docker. If you'd rather build with a local tool chain instead, you'll need to
# figure out all the tools you need in your environment to make that work.
export BUILD_WITH_CONTAINER ?= 0

ifeq ($(BUILD_WITH_CONTAINER),1)

# An export free of arguments in a Makefile places all variables in the Makefile into the

   * the implementation will need to be revisited to support a more flexible rule.
   */
  private fun assertWildcardRule(rule: String) {
    check(rule.startsWith(WILDCARD_CHAR)) {
      """Wildcard Assertion Failure: '$rule'
A wildcard rule was added with a wildcard that is not in leftmost position! We'll need to change the ${PublicSuffixDatabase::class.java.name} to handle this."""
    }

## Caveat

If you need to perform heavy background computation and you don't necessarily need it to be run by the same process (for example, you don't need to share memory, variables, etc), you might benefit from using other bigger tools like <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a>.

# ADR-0002 - Avoid using Java serialization

## Date

2012-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.

Do you want to understand what's all that above?

Continue reading. 👇🤓

///

## Why Virtual Environments

To work with FastAPI you need to install <a href="https://www.python.org/" class="external-link" target="_blank">Python</a>.

After that, you would need to **install** FastAPI and any other **packages** you want to use.

In order to make changes to Gradle, you'll need:

* [Adoptium JDK](https://adoptium.net/temurin/archive/?version=17) (Java Development Kit) **version 17**. Fixed version is required to use [remote cache](#remote-build-cache).
* A text editor or IDE. We use and recommend [IntelliJ IDEA CE](http://www.jetbrains.com/idea/). IntelliJ Ultimate will also work. You'll need IntelliJ 2021.2.2 or newer.