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  1. Introducing Mass Ingestion
  2. Getting Started with Mass Ingestion
  3. Connectors and Connections
  4. Mass Ingestion Applications
  5. Mass Ingestion Databases
  6. Mass Ingestion Files
  7. Mass Ingestion Streaming
  8. Monitoring Mass Ingestion Jobs
  9. Asset Management
  10. Troubleshooting

Mass Ingestion

Mass Ingestion

Microsoft SQL Server or Azure SQL Database Source and Microsoft Azure Synapse Analytics Target

Microsoft SQL Server or Azure SQL Database Source and Microsoft Azure Synapse Analytics Target

The following table identifies the recommended data-type mappings for Mass Ingestion Databases configurations with a Microsoft SQL Server or Azure SQL Database source and a Microsoft Azure Synapse Analytics target:
Microsoft SQL Server Source Data Type
Synapse Analytics Target Data Type
bigint
bigint
binary(
size
), 1 <= s <= 8000
binary(
size
), 1 <= s <= 8000
bit
bit
char(
size
), 1 <= s <= 8000
char(
size
), 1 <= s <= 8000
date
date
datetime
datetime2(3)
datetime2(
precision
), 0 <= p <= 7
datetime2(
precision
), 0 <= p <= 7
datetimeoffset(
precision
), 0 <= p <= 7
datetimeoffset(
precision
), 0 <= p <= 7
decimal(p,s), 1 <= p <= 38, 0 <= s <= 38
decimal(p,s), 1 <= p <= 38, 0 <= s <= 38
float
float
geography
varbinary(max)
geometry
varbinary(max)
hierarchyid
varbinary(892)
image
varbinary(max)
int
int
money
money
nchar(
size
), 1 <= s <= 4000
nchar(
size
), 1 <= s <= 4000
ntext
nvarchar(max)
numeric(p,s), 1 <= p <= 38, 0 <= s <= 38
numeric(p,s), 1 <= p <= 38, 0 <= s <= 38
nvarchar(
size
), 1 <= s <= 4000
nvarchar(
size
), 1 <= s <= 4000
real
real
smalldatetime
datetime2(0)
smallint
smallint
smallmoney
smallmoney
sql_variant
varbinary(max)
text
varchar(max)
time(
precision
), 0 <= p <= 7
time(
precision
), 0 <= p <= 7
timestamp(8)
varbinary(8)
tinyint
tinyint
uniqueidentifier
uniqueidentifier
varbinary(
size
), 1 <= s <= 8000
varbinary(
size
), 1 <= s <= 8000
varchar(
size
), 1 <= s <= 8000
varchar(
size
), 1 <= s <= 8000
xml
varchar(max)

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