#

[![GoDoc](https://godoc.org/github.com/bcicen/jstream?status.svg)](https://godoc.org/github.com/bcicen/jstream)


`jstream` is a streaming JSON parser and value extraction library for Go.

Unlike most JSON parsers, `jstream` is document position- and depth-aware -- this enables the extraction of values at a specified depth, eliminating the overhead of allocating encompassing arrays or objects; e.g:

Using the below example document:

                // a parameter.

                value = properties.get(expression);
            }
        }

        if (value instanceof String val) {
            // TODO without #, this could just be an evaluate call...

            int exprStartDelimiter = val.indexOf("${");

            if (exprStartDelimiter >= 0) {
                if (exprStartDelimiter > 0) {

{* ../../docs_src/async_tests/app_a_py39/test_main.py hl[7] *}

/// tip

Note that the test function is now `async def` instead of just `def` as before when using the `TestClient`.

///

Then we can create an `AsyncClient` with the app, and send async requests to it, using `await`.

{* ../../docs_src/async_tests/app_a_py39/test_main.py hl[9:12] *}

		// binary arrays) - perhaps we need to check the annotation to
		// ensure it's UTF8 encoded.
		value = string(val)
	case [12]byte:
		// TODO: This is returned for the parquet INT96 type. We just
		// treat it same as []byte (but AWS S3 treats it as a large int)
		// - fix this later.
		value = string(val[:])
	case int32:
		value = int64(val)
		if logicalType := se.GetLogicalType(); logicalType != nil {

                    versions.put(key, sv);
                }
            }
        }

        metadata.getVersioning().setSnapshotVersions(new ArrayList<>(versions.values()));

        // just carry-on as-is
        if (!recessive.getPlugins().isEmpty()) {
            metadata.setPlugins(new ArrayList<>(recessive.getPlugins()));
        }
    }

    private static int getBuildNumber(Metadata metadata) {

* **Starlette**:
    * Wird nach Uvicorn die nächstbeste Performanz erbringen. Tatsächlich verwendet Starlette intern Uvicorn, um zu laufen. Daher kann es wahrscheinlich nur „langsamer“ als Uvicorn werden, weil mehr Code ausgeführt werden muss.
    * Aber es bietet Ihnen die Werkzeuge, um einfache Webanwendungen zu erstellen, mit Routing basierend auf Pfaden, usw.

However, this would limit the ability of the Gradle ecosystem plugin authors to take advantage of new Java features and improvements.

One example is when one of the most popular plugins started requiring Java 17 because the underlying framework behind the plugin began requiring 17, and code from the framework was used in the plugin itself.

    private final List<ProjectSegment> items;

    public ProjectBuildList(List<ProjectSegment> items) {
        this.items = Collections.unmodifiableList(items);
    }

    // TODO Optimize; or maybe just rewrite the whole way aggregating mojos are being run.
    /**
     * Returns aProjectBuildList that contains only items for the specified taskSegment
     * @param taskSegment the requested task segment

{* ../../docs_src/sub_applications/tutorial001_py39.py hl[3, 6:8] *}

### Sub-application { #sub-application }

Then, create your sub-application, and its *path operations*.

This sub-application is just another standard FastAPI application, but this is the one that will be "mounted":

{* ../../docs_src/sub_applications/tutorial001_py39.py hl[11, 14:16] *}

### Mount the sub-application { #mount-the-sub-application }

* It is ok for Serializer to be used as a replacement for Java serialization as a migration step.