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fixed typo

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ashwinkumar12345 2021-07-12 10:15:32 -07:00
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_opensearch/data-streams.md
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@ -17,7 +17,7 @@ A typical workflow to manage time-series data is as follows:
- To split your data into an index for each day, use the rollover operation. - To split your data into an index for each day, use the rollover operation.
- To perform searches on a virtual index name that gets expanded to the underlying indices, create an [index alias]({{site.url}}{{site.baseurl}}/opensearch/index-alias/). - To perform searches on a virtual index name that gets expanded to the underlying indices, create an [index alias]({{site.url}}{{site.baseurl}}/opensearch/index-alias/).
- To perform a write operation on an index alias, configure the latest index as the write index. - To perform a write operation on an index alias, configure the latest index as the write index.
- To configure new indices, extract common mappings and settings into an [index template]({{site.url}}{{site.baseurl}}/opensearch/index-templates/)). - To configure new indices, extract common mappings and settings into an [index template]({{site.url}}{{site.baseurl}}/opensearch/index-templates/).
Even after you perform all these operations, you’re still not enforcing the best practices when dealing with time-series data. For example, you can modify the indices directly. You’re able to ingest documents without a timestamp field, which might result in slower queries. Even after you perform all these operations, you’re still not enforcing the best practices when dealing with time-series data. For example, you can modify the indices directly. You’re able to ingest documents without a timestamp field, which might result in slower queries.