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Update stream-analytics-parallelization.md
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articles/stream-analytics/stream-analytics-parallelization.md

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@@ -210,7 +210,7 @@ Partitioning a step requires the following conditions:
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When a query is partitioned, the input events are processed and aggregated in separate partition groups, and outputs events are generated for each of the groups. If you want a combined aggregate, you must create a second non-partitioned step to aggregate.
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### Calculate the max streaming units for a job
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All non-partitioned steps together can scale up to six streaming units (SUs) for a Stream Analytics job. In addition, you can add 1 SU V2 for each partition in a partitioned step.
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All non-partitioned steps together can scale up to one streaming unit (SU V2s) for a Stream Analytics job. In addition, you can add 1 SU V2 for each partition in a partitioned step.
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You can see some **examples** in the table below.
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| Query | Max SUs for the job |

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