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Fix doc typos. #47037

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Aug 22, 2024
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Fix doc typos. #47037

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2 changes: 1 addition & 1 deletion doc/source/cluster/running-applications/job-submission/quickstart.rst
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Expand Up @@ -76,7 +76,7 @@ To tell the Ray Jobs CLI how to find your Ray Cluster, pass the Ray Dashboard ad

Alternatively, you can also pass the ``--address=http://127.0.0.1:8265`` flag explicitly to each Ray Jobs CLI command, or prepend each command with ``RAY_ADDRESS=http://127.0.0.1:8265``.

Additionally, if you wish to pass headers per HTTP request to the Cluster, use the `RAY_JOB_HEADERS` environment variable.` This environment variable must be in JSON form.
Additionally, if you wish to pass headers per HTTP request to the Cluster, use the `RAY_JOB_HEADERS` environment variable. This environment variable must be in JSON form.

.. code-block:: bash

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2 changes: 1 addition & 1 deletion doc/source/data/overview.rst
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Expand Up @@ -82,7 +82,7 @@ How does Ray Data compare to other solutions for offline inference?

Ray Data doesn't have a SQL interface and isn't meant as a replacement for generic ETL pipelines like Spark.

For a more detailed performance comarison between Ray Data and Apache Spark, see `Offline Batch Inference: Comparing Ray, Apache Spark, and SageMaker <https://www.anyscale.com/blog/offline-batch-inference-comparing-ray-apache-spark-and-sagemaker>`_.
For a more detailed performance comparison between Ray Data and Apache Spark, see `Offline Batch Inference: Comparing Ray, Apache Spark, and SageMaker <https://www.anyscale.com/blog/offline-batch-inference-comparing-ray-apache-spark-and-sagemaker>`_.

Batch inference case studies
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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