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Added Unicode notebook samples
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@@ -26,6 +26,13 @@ The [What's New](https://docs.microsoft.com/sql/sql-server/what-s-new-in-sql-ser
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* **[Basic_ADR.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/accelerated-database-recovery/basic_adr.ipynb)** - In this notebook, you will see how fast long-running transaction rollback can now be with Accelerated Database Recovery. You will also see that a long active transaction does not affect the ability to truncate the transaction log.
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* **[Recovery_ADR.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/accelerated-database-recovery/recovery_adr.ipynb)** - In this example, you will see how Accelerated Database Recovery will speed up recovery.
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### Unicode Support (UTF-8 and UTF-16)
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* **[DataType_WesternMyth.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/unicode/notebooks/DataType_WesternMyth.ipynb)** - In this notebook, you will see proof that the integer that defines the length of string types (CHAR/VARCHAR/NCHAR/NVARCHAR) does not mean "number of characters" but "number of byte sto store", debunking a common misconception in SQL Server.
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* **[Functional.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/unicode/notebooks/Functional.ipynb)** - In this notebook, you will see how to use UTF-8 in your database or columns.
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* **[Storage.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/unicode/notebooks/Storage.ipynb)** - In this notebook, you will see how to the storage footprint differences are expressive between Unicode encoded in UTF-8 and UTF-16.
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* **[Perf_Latin.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/unicode/notebooks/Perf_Latin.ipynb)** - In this notebook, you will see the performance differences of using string data encoded in UTF-8 and UTF-16 using Latin data.
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* **[Perf_Non-Latin.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/unicode/notebooks/Perf_Non-Latin.ipynb)** - In this notebook, you will see the performance differences of using string data encoded in UTF-8 and UTF-16 using non-Latin data.
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### SQL Server 2019 Querying 1 TRILLION rows
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* **[OneTrillionRowsWarm.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/sql2019notebooks/OneTrillionRowsWarm.ipynb)** - This notebook shows how SQL Server 2019 reads **9 BILLION rows/second** using a 1 trillion row table using a warm cache,
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* **[OneTrillionRowsCold.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/sql2019notebooks/OneTrillionRowsCold.ipynb)** - This notebook shows how SQL Server 2019 performs IO at **~24GB/s** using a 1 trillion row table with a cold cache.
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