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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 Snowflake Target

Microsoft SQL Server or Azure SQL Database Source and Snowflake 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 Snowflake target:
Microsoft SQL Server Source Data Type
Snowflake Target Data Type
bigint
integer
binary(
size
), 1 <= s <= 8000
binary(
size
), 1 <= s <= 8000
bit
boolean
char(
size
), 1 <= s <= 8000
varchar(
size
), 1 <= s <= 8000
date
date
datetime
datetime(3)
datetime2(
precision
), 0 <= p <= 7
datetime(
precision
), 0 <= p <= 7
datetimeoffset(
precision
), 0 <= p <= 7
timestamp_tz(
precision
), 0 <= p <= 7
decimal(38,38)
char(41)
decimal(p,s), 1 <= p <= 38, 0 <= s <= 37
number(p,s), 1 <= p <= 38, 0 <= s <= 37
float
float
geography
binary
geometry
binary
hierarchyid
binary(892)
image
binary
int
integer
money
number(19,4)
nchar(
size
), 1 <= s <= 4000
varchar(
size
), 4 <= s <= 16000
ntext
varchar
numeric(38,38)
char(41)
numeric(p,s), 1 <= p <= 38, 0 <= s <= 37
number(p,s), 1 <= p <= 38, 0 <= s <= 37
nvarchar(
size
), 1 <= s <= 4000
varchar(
size
), 4 <= s <= 16000
real
float
smalldatetime
datetime(0)
smallint
integer
smallmoney
number(10,4)
sql_variant
binary(8016)
text
varchar
time(
precision
), 0 <= p <= 7
time(
precision
), 0 <= p <= 7
timestamp(8)
binary(8)
tinyint
integer
uniqueidentifier
char(36)
varbinary(
size
) 1 <= s <= 8000
binary(
size
), 1 <= s <= 8000
varchar(
size
), 1 <= s <= 8000
varchar(
size
), 1 <= s <= 8000
xml
varchar

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