{"type":"doc","content":[{"type":"paragraph","content":[{"text":"In this article","type":"text","marks":[{"type":"strong"}]}]},{"type":"extension","attrs":{"layout":"default","extensionType":"com.atlassian.confluence.macro.core","extensionKey":"toc","parameters":{"macroParams":{"maxLevel":{"value":"2"},"_parentId":{"value":"1438549"},"exclude":{"value":"Older Versions|Additional Resources|Related Links|Related Information"}},"macroMetadata":{"macroId":{"value":"e68cfc57-9f98-419b-8542-3e1ef8f583c7"},"schemaVersion":{"value":"1"},"title":"Table of Contents"}},"localId":"87c07a35-ad5f-4e88-acd9-a46432472054"}},{"type":"heading","attrs":{"level":1},"content":[{"text":"Overview","type":"text"}]},{"type":"paragraph","content":[{"text":"You can use the Snowflake - Bulkload Snap to load data from input sources or files stored on external object stores like Amazon S3, Google Storage, and Azure Storage Blob into the Snowflake data warehouse.","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start","width":789,"widthType":"pixel"},"content":[{"type":"media","attrs":{"__fileSize":135726,"__fileMimeType":"image/png","width":381,"id":"d636b552-b243-4d1a-8cb7-e1ad0197b764","collection":"contentId-1438549","type":"file","__fileName":"image-20230313-083420.png","height":654}}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"Snap Type","type":"text"}]},{"type":"paragraph","content":[{"text":"The Snowflake - Bulk Load Snap is a Write-type Snap that performs a bulk load operation.","type":"text"}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"Prerequisites","type":"text"}]},{"type":"bodiedExtension","attrs":{"layout":"default","extensionType":"com.atlassian.confluence.macro.core","extensionKey":"excerpt","parameters":{"macroParams":{"_parentId":{"value":"1438549"},"atlassian-macro-output-type":{"value":"INLINE"}},"macroMetadata":{"macroId":{"value":"582a2bbb-891b-4153-9bb2-8338d0c0e41a"},"schemaVersion":{"value":"1"},"title":"Excerpt"}},"localId":"5574b4ea-6a11-4f27-b288-890fcacd6270"},"content":[{"type":"paragraph","content":[{"text":"You must have minimum permissions on the database to execute Snowflake Snaps. To understand if you already have them, you must retrieve the current set of permissions. The following commands enable you to retrieve those permissions:","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]}]},{"type":"codeBlock","content":[{"text":"SHOW GRANTS ON DATABASE \nSHOW GRANTS ON SCHEMA \nSHOW GRANTS TO USER ","type":"text"}]}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","content":[{"text":"You must enable the Snowflake account to use private preview features for creating the Iceberg table.","type":"text"}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"text":"External volume has to be created on the Snowflake worksheet, or Snowflake Execute snap. 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It is reserved for the user's home directory.","type":"text"}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"text":"Snowflake provides the option to use the Cross Account IAM in the external staging. You can adopt the cross-account access through the option ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]},{"text":"Storage Integration","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}},{"type":"strong"}]},{"text":". With this setup, you don’t need to pass any credentials around, and access to the storage only using the named stage or integration object. For more details: ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]},{"text":"Configuring Cross Account IAM Role Support for Snowflake Snaps","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}},{"type":"link","attrs":{"href":"https://docs-snaplogic.atlassian.net/wiki/spaces/SD/pages/1389068449"}}]}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"text":"Snowflake Bulk Load expects column order should be like a table from upstream snaps; otherwise, it will result in failure of data validation.","type":"text","marks":[{"type":"textColor","attrs":{"color":"#172b4d"}}]}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"text":"If a Snowflake Bulk Load operation fails due to inadequate memory space on the JCC node when the ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#1d1c1d"}}]},{"text":"Data source","type":"text","marks":[{"type":"textColor","attrs":{"color":"#172b4d"}},{"type":"strong"}]},{"text":" is ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#1d1c1d"}}]},{"text":"Input View","type":"text","marks":[{"type":"textColor","attrs":{"color":"#172b4d"}},{"type":"em"}]},{"text":" and the ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#1d1c1d"}}]},{"text":"Staging location","type":"text","marks":[{"type":"textColor","attrs":{"color":"#172b4d"}},{"type":"strong"}]},{"text":" is ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#1d1c1d"}}]},{"text":"Internal Stage","type":"text","marks":[{"type":"textColor","attrs":{"color":"#172b4d"}},{"type":"em"}]},{"text":", you can store the data on an external staging location (S3, Azure Blob or GCS).","type":"text","marks":[{"type":"textColor","attrs":{"color":"#1d1c1d"}}]}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"text":"When the bulk load operation fails due to an invalid input and when the input does not contain the default columns, the error view does not display the erroneous columns correctly. 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Note that the ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]},{"text":"Bio","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}},{"type":"em"}]},{"text":" column is the binary data type and the ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]},{"text":"Text","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}},{"type":"em"}]},{"text":" column is varbinary data type. 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We set the ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]},{"text":"File format option","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}},{"type":"strong"}]},{"text":" as ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]},{"text":"BINARY_FORMAT=UTF-8 ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}},{"type":"em"}]},{"text":"to enable the Snap to encode the binary data before loading","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]},{"text":".","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}},{"type":"em"}]}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":94137,"__fileMimeType":"image/png","width":554,"id":"9c59ec46-2c8b-4a79-ab34-7260904351a9","collection":"contentId-1438549","type":"file","__fileName":"8c633da2-67c7-4e74-bb52-5609f0f20ed0.png","height":523}}]},{"type":"paragraph","content":[{"text":"Upon validation, the Snap loads the database with 25 employee records.","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]}]},{"type":"table","attrs":{"layout":"default","width":1800.0,"localId":"01de2fc0-bee7-43ec-9a49-4661a27a6e10"},"content":[{"type":"tableRow","content":[{"type":"tableHeader","attrs":{"colspan":1,"rowspan":1,"colwidth":[355.0]},"content":[{"type":"paragraph","content":[{"text":"Output Preview","type":"text","marks":[{"type":"strong"}]}]}]},{"type":"tableHeader","attrs":{"colspan":1,"rowspan":1,"colwidth":[405.0]},"content":[{"type":"paragraph","content":[{"text":"Data in Snowflake","type":"text","marks":[{"type":"strong"}]}]}]}]},{"type":"tableRow","content":[{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":[355.0]},"content":[{"type":"mediaSingle","attrs":{"layout":"align-start","width":35.0},"content":[{"type":"media","attrs":{"__fileSize":27101,"__fileMimeType":"image/png","width":578,"id":"6fc2395b-1123-4fa5-ab4d-b640fd9da80a","collection":"contentId-1438549","type":"file","__fileName":"Snowflake_Bulk_Load_JSON_Output.png","height":468}}]}]},{"type":"tableCell","attrs":{"colspan":1,"rowspan":1,"colwidth":[405.0]},"content":[{"type":"mediaSingle","attrs":{"layout":"align-start","width":35.0},"content":[{"type":"media","attrs":{"__fileSize":23839,"__fileMimeType":"image/png","width":452,"id":"6ade2fc9-5779-49b3-b714-c45dce381f28","collection":"contentId-1438549","type":"file","__fileName":"Binary_Data_in_Snowflake.png","height":299}}]}]}]}]},{"type":"paragraph","content":[{"text":"Finally, connect the JSON Formatter Snap to the Snowflake - Bulk Load Snap to transform the binary data to JSON format, and finally write this output in S3 using the File Writer Snap.","type":"text"},{"type":"hardBreak"}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":75598,"__fileMimeType":"image/png","width":504,"id":"d5bfa654-6286-44fb-b7da-8016e9b3e0a0","collection":"contentId-1438549","type":"file","__fileName":"f8245180-b7ac-4bb7-94f6-a18d11c4a3c7.png","height":348}}]},{"type":"paragraph","content":[{"text":"Download this Pipeline","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}},{"type":"link","attrs":{"href":"https://docs-snaplogic.atlassian.net/wiki/download/attachments/1438549/Example_Snowflake_Bulk_Load_Upload_Binarytype.slp?api=v2"}}]},{"text":".","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]}]},{"type":"heading","attrs":{"level":2},"content":[{"text":"Transform data using a select query before loading into Snowflake","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]}]},{"type":"paragraph","content":[{"text":"The following example Pipeline demonstrates how you can reorder the columns using the SELECT statement transform option before loading data into Snowflake database. We use the Snowflake - Bulk Load Snap to accomplish this task.","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]},{"type":"hardBreak"}]},{"type":"mediaSingle","attrs":{"layout":"align-start","width":395,"widthType":"pixel"},"content":[{"type":"media","attrs":{"__fileSize":15416,"__fileMimeType":"image/png","width":275,"id":"2a2d1c0c-491e-4901-b8f7-4b013d26b22b","collection":"contentId-1438549","type":"file","__fileName":"1e8fe90a-d1f1-4127-972a-4f55aff2358f.png","height":114}}]},{"type":"paragraph","content":[{"text":"Prerequisite","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}},{"type":"strong"}]},{"text":": You must create an internal or external stage in Snowflake before you transform your data. This stage is used for loading data from source files into the tables of Snowflake database.","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]}]},{"type":"paragraph","content":[{"text":"To begin with, we create a stage using a query in the following format. Snowflake supports both internal (Snowflake) and external (Microsoft Azure and AWS S3) stages for this transformation. ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]}]},{"type":"paragraph","content":[{"text":"\"CREATE STAGE IF NOT EXISTS \"+_stageName+\" url='\"+_s3Location+\"' CREDENTIALS = (AWS_KEY_ID='string' AWS_SECRET_KEY='string') \"","type":"text","marks":[{"type":"code"}]}]},{"type":"paragraph","content":[{"text":"This query creates an external stage in Snowflake pointing to S3 location with AWS credentials (","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]},{"text":"Key ID","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}},{"type":"em"}]},{"text":" and ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]},{"text":"Secrete Key","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}},{"type":"em"}]},{"text":").","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]}]},{"type":"panel","attrs":{"panelType":"note"},"content":[{"type":"paragraph","content":[{"text":"We recommend that you do not use a temporary stage to prevent issues while loading and transforming your data.","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]}]}]},{"type":"paragraph","content":[{"text":"Now, add the Snowflake - Bulk Load Snap to the canvas and configure it to transform the data in the staged file SNAP7517_EXT_CSV.csv by providing the following query in the ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]},{"text":"Select Query","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}},{"type":"strong"}]},{"text":" field:","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]},{"type":"hardBreak"},{"text":"\"select t.$1,t.$4,t.$3,t.$4,t.$5,t.$6,t.$7 from @\"+_stageName+\" t\"","type":"text","marks":[{"type":"textColor","attrs":{"color":"#000000"}}]}]},{"type":"panel","attrs":{"panelType":"note"},"content":[{"type":"paragraph","content":[{"text":"You ","type":"text"},{"text":"must","type":"text","marks":[{"type":"em"}]},{"text":" provide the stage name along with schema name in the ","type":"text"},{"text":"Select Query","type":"text","marks":[{"type":"strong"}]},{"text":", else the Snap displays an error. For instance,","type":"text"},{"type":"hardBreak"},{"text":"SELECT t.$1,t.$4,t.$3,t.$4,t.$5,t.$6,t.$7 from @mys3stage t\", displays an error.","type":"text"},{"type":"hardBreak"},{"text":"SELECT t.$1,t.$4,t.$3,t.$4,t.$5,t.$6,t.$7 from @. t\", executes correctly.","type":"text"}]}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":87676,"__fileMimeType":"image/png","width":753,"id":"5f8a4cf9-a964-480d-a5ad-055342e8f1e2","collection":"contentId-1438549","type":"file","__fileName":"d5dcd4ff-78f8-45d5-b0af-6bff44879167.png","height":909}}]},{"type":"paragraph","content":[{"text":"Next, connect a Snowflake Select Snap with the Snowflake - Bulk Load Snap to select the data from the Snowflake database. 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When you select ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#091e42"}}]},{"text":"Input view","type":"text","marks":[{"type":"textColor","attrs":{"color":"#091e42"}},{"type":"em"}]},{"text":" as ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#091e42"}}]},{"text":"Data Source","type":"text","marks":[{"type":"textColor","attrs":{"color":"#091e42"}},{"type":"strong"}]},{"text":", enter ","type":"text"},{"text":"TRIM_SPACE=TRUE","type":"text","marks":[{"type":"code"}]},{"text":" in the","type":"text","marks":[{"type":"textColor","attrs":{"color":"#091e42"}}]},{"text":" ","type":"text"},{"text":"File Format Option","type":"text","marks":[{"type":"strong"}]},{"text":" field to remove empty spaces, if any.","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":26111,"__fileMimeType":"image/png","width":411,"id":"d3c9478b-62d8-4407-bbca-3308c6a36388","collection":"contentId-1438549","type":"file","__fileName":"SF_BL_Pipeline.png","height":239}}]},{"type":"paragraph","content":[{"text":"Download","type":"text","marks":[{"type":"link","attrs":{"href":"https://docs-snaplogic.atlassian.net/wiki/download/attachments/1438549/Snowflake_Bulkload_FileFormatOption.slp?api=v2"}}]},{"text":" this pipeline.","type":"text","marks":[{"type":"textColor","attrs":{"color":"#091e42"}}]}]},{"type":"paragraph","content":[{"text":"In this example, the Pipeline uses the following Snaps:","type":"text"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","content":[{"text":"Data (JSON Generator):","type":"text","marks":[{"type":"strong"}]},{"text":" Generates a JSON document for the Snowflake - Bulk Load Snap in the Pipeline. 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Also, it enables you to remove all spaces from the input document.","type":"text","marks":[{"type":"textColor","attrs":{"color":"#333333"}}]}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"text":"Schema (JSON Generator):","type":"text","marks":[{"type":"textColor","attrs":{"color":"#333333"}},{"type":"strong"}]},{"text":" Provides the schema to interpret the document passed to the Snowflake - Bulk Load Snap.","type":"text","marks":[{"type":"textColor","attrs":{"color":"#333333"}}]}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"text":"Snowflake - Execute:","type":"text","marks":[{"type":"textColor","attrs":{"color":"#333333"}},{"type":"strong"}]},{"text":" Reads the newly uploaded document and enables you to check whether the spaces were removed as expected.","type":"text","marks":[{"type":"textColor","attrs":{"color":"#333333"}}]}]}]}]},{"type":"heading","attrs":{"level":3},"content":[{"type":"inlineExtension","attrs":{"extensionType":"com.atlassian.confluence.macro.core","extensionKey":"anchor","parameters":{"macroParams":{"":{"value":"DATA"},"legacyAnchorId":{"value":"Snowflake-BulkLoad-DATA"},"_parentId":{"value":"1438549"}},"macroMetadata":{"macroId":{"value":"baabdbe3-c310-4ee7-935f-b9b420fbb50f"},"schemaVersion":{"value":"1"},"title":"Anchor"}},"localId":"a0f2ed6a-5e73-474e-aba5-0f052069cca5"}},{"text":"Data (JSON Generator)","type":"text","marks":[{"type":"textColor","attrs":{"color":"#333333"}}]}]},{"type":"paragraph","content":[{"text":"Data streams from your database source, and you do not necessarily need a Snap to provide input documents. In this example, however, we use the ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#333333"}}]},{"text":"JSON Generator Snap to provide the input document.","type":"text"}]},{"type":"paragraph","content":[{"text":"Input:","type":"text","marks":[{"type":"strong"}]}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":16326,"__fileMimeType":"image/png","width":534,"id":"b27e0b27-00fd-48cf-befe-032da38c58c3","collection":"contentId-1438549","type":"file","__fileName":"JSON_Snap.png","height":269}}]},{"type":"paragraph","content":[{"text":"Output:","type":"text","marks":[{"type":"textColor","attrs":{"color":"#091e42"}},{"type":"strong"}]}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":14660,"__fileMimeType":"image/png","width":430,"id":"90b4c2f2-630e-44c0-a942-a25effd06d21","collection":"contentId-1438549","type":"file","__fileName":"SF_Data.png","height":223}}]},{"type":"paragraph","content":[{"text":"As you can see, the value listed against the key ACCOUNT_NAME has empty spaces in it.","type":"text","marks":[{"type":"textColor","attrs":{"color":"#091e42"}}]}]},{"type":"heading","attrs":{"level":3},"content":[{"type":"inlineExtension","attrs":{"extensionType":"com.atlassian.confluence.macro.core","extensionKey":"anchor","parameters":{"macroParams":{"":{"value":"BL"},"legacyAnchorId":{"value":"Snowflake-BulkLoad-BL"},"_parentId":{"value":"1438549"}},"macroMetadata":{"macroId":{"value":"34ef17d5-22ce-4bd1-88d2-c67a48d3f891"},"schemaVersion":{"value":"1"},"title":"Anchor"}},"localId":"a3752962-8f21-430e-8508-d7b2bc46fac2"}},{"text":"Snowflake - Bulk Load","type":"text","marks":[{"type":"textColor","attrs":{"color":"#091e42"}}]}]},{"type":"paragraph","content":[{"text":"Input:","type":"text","marks":[{"type":"textColor","attrs":{"color":"#091e42"}},{"type":"strong"}]}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":71519,"__fileMimeType":"image/png","width":570,"id":"cf17e9dc-c78f-4af3-a181-47b3839f72a9","collection":"contentId-1438549","type":"file","__fileName":"SnowflakeBulkLoad.png","height":1393}}]},{"type":"panel","attrs":{"panelType":"note"},"content":[{"type":"paragraph","content":[{"text":"Notice that the File Format Option is TRIM_SPACE=TRUE.","type":"text"}]}]},{"type":"paragraph","content":[{"text":"Output:","type":"text","marks":[{"type":"strong"}]}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":36126,"__fileMimeType":"image/png","width":1014,"id":"d0334b07-6579-4133-80d8-ccfe4bd3826f","collection":"contentId-1438549","type":"file","__fileName":"SF_BulkLoadOutput.png","height":496}}]},{"type":"heading","attrs":{"level":3},"content":[{"type":"inlineExtension","attrs":{"extensionType":"com.atlassian.confluence.macro.core","extensionKey":"anchor","parameters":{"macroParams":{"":{"value":"GEN"},"legacyAnchorId":{"value":"Snowflake-BulkLoad-GEN"},"_parentId":{"value":"1438549"}},"macroMetadata":{"macroId":{"value":"d604fb3d-905b-4e2f-90fe-a7c383b0dbd3"},"schemaVersion":{"value":"1"},"title":"Anchor"}},"localId":"91faa4c0-0a4f-45c8-8e4f-e3617b81a68a"}},{"text":"Schema ","type":"text"},{"text":"(JSON Generator)","type":"text","marks":[{"type":"textColor","attrs":{"color":"#333333"}}]}]},{"type":"paragraph","content":[{"text":"Table schema is taken from your database source, and you do not necessarily need a Schema Snap to provide the table schema. In this example, however, we use the JSON Generator Snap to provide the table 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","type":"text"},{"text":"'","type":"text","marks":[{"type":"em"}]},{"text":"employee.csv content' ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#222222"}},{"type":"em"}]},{"text":"is passed via the Upstream Snap:","type":"text","marks":[{"type":"textColor","attrs":{"color":"#222222"}}]}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":63250,"__fileMimeType":"image/png","width":1026,"id":"5a38cac2-8a96-45d5-8337-c1bd656b6b62","collection":"contentId-1438549","type":"file","__fileName":"SnowflakeUpsertMapper.png","height":536}}]},{"type":"paragraph","content":[{"text":"The Snowflake Bulk Load Snap is configured with ","type":"text"},{"text":"Data source","type":"text","marks":[{"type":"strong"}]},{"text":" as Staged files and the Table Columns added as ID, FIRSTNAME, CITY, to be loaded into a table \"PRASANNA\".\"EMPLOYEE\" on Snowflake.","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start","width":60.0},"content":[{"type":"media","attrs":{"__fileSize":49304,"__fileMimeType":"image/png","width":784,"id":"d1b5941e-fa2d-4adb-a88e-ad2ba6fca69d","collection":"contentId-1438549","type":"file","__fileName":"Snowflake Bulk Load_BC1.png","height":653}}]},{"type":"paragraph","content":[{"type":"hardBreak"}]},{"type":"paragraph","content":[{"text":"The successful execution of the pipeline displays the below output preview:","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":37217,"__fileMimeType":"image/png","width":944,"id":"dac25dfa-4b31-4e3d-8956-90f02b296dd5","collection":"contentId-1438549","type":"file","__fileName":"SnowflakeBL_4.png","height":433}}]},{"type":"paragraph","content":[{"text":"If the ","type":"text"},{"text":"'","type":"text","marks":[{"type":"em"}]},{"text":"employee.csv content' ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#222222"}},{"type":"em"}]},{"text":"(Staged file)","type":"text","marks":[{"type":"textColor","attrs":{"color":"#222222"}}]},{"text":" ","type":"text","marks":[{"type":"textColor","attrs":{"color":"#222222"}},{"type":"em"}]},{"text":"has the below details","type":"text","marks":[{"type":"textColor","attrs":{"color":"#222222"}}]},{"text":":","type":"text","marks":[{"type":"textColor","attrs":{"color":"#222222"}},{"type":"em"}]}]},{"type":"paragraph","content":[{"text":"1,PRASANNA,Hyderabad","type":"text"},{"type":"hardBreak"},{"text":"2,Aparna,hyderabad","type":"text"}]},{"type":"paragraph","content":[{"text":"Table Columns added are:","type":"text"},{"type":"hardBreak"},{"text":"ID, FIRSTNAME, CITY","type":"text"}]},{"type":"paragraph","content":[{"text":"then the table, \"PRASANNA\".\"EMPLOYEE\" on Snowflake is as below:","type":"text"}]},{"type":"heading","attrs":{"level":5},"content":[{"text":"The Snowflake table \"PRASANNA\".\"EMPLOYEE\" ","type":"text","marks":[{"type":"strong"}]}]},{"type":"codeBlock","content":[{"text":"Create table \"PRASANNA\".\"EMPLOYEE\" (ID int, FIRSTNAME varchar(30), LASTNAME varchar(30), CITY varchar(30), ADDRESS varchar(30), JOIN_DATE date)","type":"text"}]},{"type":"paragraph","content":[{"text":"Note the columns ID, FIRSTNAME and CITY are populated as provided and the LASTNAME, ADDRESS and JOIN DATE are null.","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":10663,"__fileMimeType":"image/png","width":867,"id":"ea486344-86d1-4b44-bcbc-abd4edcea66b","collection":"contentId-1438549","type":"file","__fileName":"SnowflakeBL_5.png","height":177}}]}]},{"type":"paragraph","content":[{"type":"hardBreak"}]},{"type":"expand","attrs":{"title":"Snowflake Bulk Load with Load empty strings property selected"},"content":[{"type":"paragraph","content":[{"text":"In this pipeline, the Snowflake Bulk Load Snap loads the input document with empty string values as empty strings to the string-type fields. The values to be updated are passed via the upstream Mapper Snap and the Snowflake Execute Snap displays the output view of the table records.","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":13244,"__fileMimeType":"image/png","width":195,"id":"b1416a05-f325-41a5-aa69-ba7541016674","collection":"contentId-1438549","type":"file","__fileName":"SnowflakeBulkLoad_1.png","height":154}}]},{"type":"paragraph","content":[{"text":"The Mapper Snap passes the values to be updated to the table on Snowflake:","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":56020,"__fileMimeType":"image/png","width":1107,"id":"58c820e4-190b-46a8-b3fa-1631dfa69def","collection":"contentId-1438549","type":"file","__fileName":"SnowflakeBulkLoad_Mapper1.png","height":607}}]},{"type":"paragraph","content":[{"text":"The Snowflake Bulk Load Snap with ","type":"text"},{"text":"Load empty strings","type":"text","marks":[{"type":"strong"}]},{"text":" property selected:","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start","width":60.0},"content":[{"type":"media","attrs":{"__fileSize":74648,"__fileMimeType":"image/png","width":884,"id":"134d45ef-fbe0-41f9-b785-8a1476b6d2ea","collection":"contentId-1438549","type":"file","__fileName":"SnowflakeBulkLoad2.png","height":1107}}]},{"type":"paragraph","content":[{"text":"The Snowflake Execute Snap runs the query to select the table","type":"text"},{"text":" 'TEST BULKLOAD'","type":"text","marks":[{"type":"em"}]},{"text":" for the ","type":"text"},{"text":"'ID=1002","type":"text","marks":[{"type":"em"}]},{"text":"':","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":33643,"__fileMimeType":"image/png","width":586,"id":"14acd0a9-c461-416c-a467-8f354b4415dd","collection":"contentId-1438549","type":"file","__fileName":"SF_Execute2.png","height":574}}]},{"type":"paragraph","content":[{"text":"The successful execution of the pipeline displays the below output preview:","type":"text"}]},{"type":"panel","attrs":{"panelType":"note"},"content":[{"type":"paragraph","content":[{"text":"The Name field is left empty. It means the empty strings are loaded as empty strings only.","type":"text"}]}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":42614,"__fileMimeType":"image/png","width":989,"id":"5ef5e990-42c9-4c7b-9408-56beaa401bdf","collection":"contentId-1438549","type":"file","__fileName":"SnowflakeBulkLoad_5.png","height":502}}]},{"type":"paragraph","content":[{"text":"The below screenshot displays the output preview (on a table with an ","type":"text"},{"text":"ID=1003","type":"text","marks":[{"type":"em"}]},{"text":"), wherein the ","type":"text"},{"text":"Load empty strings","type":"text","marks":[{"type":"strong"}]},{"text":" property is not selected, and the the Name field has a value","type":"text"},{"text":" 'Null'","type":"text","marks":[{"type":"em"}]},{"text":" in it:","type":"text"}]},{"type":"paragraph","content":[{"type":"hardBreak"}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":42863,"__fileMimeType":"image/png","width":992,"id":"f2ea860a-6295-4915-9ea8-04ea6f2ec085","collection":"contentId-1438549","type":"file","__fileName":"SnowflakeBulkLoad_6.png","height":489}}]},{"type":"paragraph","content":[{"type":"hardBreak"}]}]},{"type":"paragraph","content":[{"type":"hardBreak"}]},{"type":"expand","attrs":{"title":"Snowflake Bulk Load Snap loads data from an Oracle Database"},"content":[{"type":"paragraph","content":[{"text":"In this example, the data is loaded from the table ","type":"text"},{"text":"\"TECTONIC\".\"ADOBEPRASANNA_NEW1124\"","type":"text","marks":[{"type":"em"}]},{"text":" using Oracle Select Snap to the target table ","type":"text"},{"text":"\"PRASANNA\".\"ADOBEDATA123\"","type":"text","marks":[{"type":"em"}]},{"text":" using Snowflake Bulk Load Snap.","type":"text"}]},{"type":"paragraph","content":[{"text":"The Pipeline:","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":18679,"__fileMimeType":"image/png","width":241,"id":"6a959230-e313-4103-b2a1-dca91513622b","collection":"contentId-1438549","type":"file","__fileName":"download.png","height":179}}]},{"type":"paragraph","content":[{"text":"The Oracle Select Snap gets records in the table ","type":"text"},{"text":"\"TECTONIC\".\"ADOBEPRASANNA_NEW1124\"","type":"text","marks":[{"type":"em"}]},{"text":" and passes them to the Snowflake Bulk Load Snap: ","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start","width":45.0},"content":[{"type":"media","attrs":{"__fileSize":18809,"__fileMimeType":"image/png","width":364,"id":"42db55df-b426-4b8a-9f80-b041acd37eda","collection":"contentId-1438549","type":"file","__fileName":"SnowflakeBulkLoad1.png","height":292}}]},{"type":"paragraph","content":[{"text":"The Snowflake Bulk Load Snap loads records to table ","type":"text"},{"text":"\"PRASANNA\".\"ADOBEDATA123\":","type":"text","marks":[{"type":"em"}]}]},{"type":"paragraph","content":[{"text":" ","type":"text"},{"type":"inlineExtension","attrs":{"extensionType":"com.atlassian.confluence.migration","extensionKey":"inline-media-image","parameters":{"width":"800","id":"ea9e22c1-bb03-4187-a15b-173afdcaa476","collection":"contentId-1438549","height":""}}}]},{"type":"paragraph","content":[{"text":"The output of the Snowflake Bulk Load Snap after executing the pipeline:","type":"text"},{"type":"inlineExtension","attrs":{"extensionType":"com.atlassian.confluence.migration","extensionKey":"inline-media-image","parameters":{"link":"https://dzf8vqv24eqhg.cloudfront.net/userfiles/524/898/ckfinder/images/Snaps/sql-bulk2.png?dc=201603141718-37&width=630&height=476","width":"900","id":"2af3f363-a741-4d69-a5ab-8a9e128a1973","collection":"contentId-1438549","height":""}}},{"text":" ","type":"text"}]}]},{"type":"paragraph","content":[{"type":"hardBreak"}]},{"type":"expand","attrs":{"title":"Loading Data from S3"},"content":[{"type":"paragraph","content":[{"text":"This example demonstrates how you can use the Snowflake Bulk Snap to load files from an external staging location such as S3. It further shows the configuration required when loading numeric data.","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":12124,"__fileMimeType":"image/png","width":289,"id":"73f0c053-db62-4e93-84ec-1de9df9ee997","collection":"contentId-1438549","type":"file","__fileName":"Pipeline_External_Staging_S3.png","height":104}}]},{"type":"paragraph","content":[{"text":"Download","type":"text","marks":[{"type":"link","attrs":{"href":"https://docs-snaplogic.atlassian.net/wiki/download/attachments/1438549/Snowflake_BulkLoad_FromS3.slp?api=v2"}}]},{"text":" this Pipeline. ","type":"text"}]},{"type":"panel","attrs":{"panelType":"note"},"content":[{"type":"paragraph","content":[{"text":"The Snowflake Bulk Load Snap has a minimum of 1 Input view. This is useful when the data source is Input view. Even though, within the scope of this Pipeline, the Snap does not require any input from an upstream Snap, the view cannot be disabled. ","type":"text"}]}]},{"type":"paragraph","content":[{"text":"Data is to be loaded from the staged file ","type":"text"},{"text":"threecolumns.csv","type":"text","marks":[{"type":"em"}]},{"text":" present in a S3 folder into the table ","type":"text"},{"text":"\"EXTR_PERF_01_SC\".\"THREECOLUMNS\"","type":"text","marks":[{"type":"em"}]},{"text":".","type":"text"}]},{"type":"paragraph","content":[{"text":"Below is a screenshot of the data in ","type":"text"},{"text":"threecolumns.csv","type":"text","marks":[{"type":"em"}]},{"text":":","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start","width":15.0},"content":[{"type":"media","attrs":{"__fileSize":5928,"__fileMimeType":"image/png","width":238,"id":"82bba870-69cb-4904-b05f-081909d11478","collection":"contentId-1438549","type":"file","__fileName":"Input_File.png","height":226}}]},{"type":"paragraph","content":[{"text":"The Snowflake Bulk Load Snap is configured accordingly as follows:","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start","width":45.0},"content":[{"type":"media","attrs":{"__fileSize":46856,"__fileMimeType":"image/png","width":603,"id":"e240df7e-5261-4b4f-8e61-3b2510cc94d8","collection":"contentId-1438549","type":"file","__fileName":"Snap_SnowflakeBulkLoad.png","height":601}}]},{"type":"paragraph","content":[{"text":"Furthermore, since this data has numeric values, the Snowflake Bulk Load Snap is configured with the following file format options to handle any string/NULL values that may be present in the dataset: ","type":"text"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","content":[{"text":"SKIP_HEADER = 1","type":"text","marks":[{"type":"em"}]},{"text":": Specifies that the first row is a header row so that all rows after the first row are loaded.","type":"text"}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"text":"NULL_IF = \"\"","type":"text","marks":[{"type":"em"}]},{"text":": Convert empty spaces to SQL NULL.","type":"text"}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"text":"FIELD_OPTIONALLY_ENCLOSED_BY =\"\"","type":"text","marks":[{"type":"em"}]},{"text":": Specifies the character used to enclose strings.","type":"text"}]}]}]},{"type":"paragraph","content":[{"text":"See ","type":"text"},{"text":"Format Type Options","type":"text","marks":[{"type":"link","attrs":{"href":"https://docs.snowflake.net/manuals/sql-reference/sql/copy-into-table.html#format-type-options-formattypeoptions"}}]},{"text":" for a detailed explanation of the above file format options.","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start","width":45.0},"content":[{"type":"media","attrs":{"__fileSize":31187,"__fileMimeType":"image/png","width":641,"id":"f6abbc5d-cf71-42e3-a0f7-18c0dcb617a9","collection":"contentId-1438549","type":"file","__fileName":"Snap_SnowflakeBulkLoad_FileFormatOptions.png","height":456}}]},{"type":"paragraph","content":[{"text":"Upon execution, the Snowflake Bulk Load Snap loads three rows:","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":25565,"__fileMimeType":"image/png","width":389,"id":"de436eef-95f8-4794-82b9-7baf008d10c9","collection":"contentId-1438549","type":"file","__fileName":"Snap_SnowflakeBulkLoad_Output.png","height":488}}]},{"type":"paragraph","content":[{"text":"To confirm that three rows were loaded, we use a Snowflake Execute Snap configured to count the number of rows in the target table:","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start","width":45.0},"content":[{"type":"media","attrs":{"__fileSize":30916,"__fileMimeType":"image/png","width":599,"id":"a9d48b9a-6701-45c4-9b9e-043457cc9e26","collection":"contentId-1438549","type":"file","__fileName":"Snap_SnowflakeExecute.png","height":475}}]},{"type":"paragraph","content":[{"text":"Below is a preview of the output from the Snowflake Execute Snap. ","type":"text"}]},{"type":"mediaSingle","attrs":{"layout":"align-start"},"content":[{"type":"media","attrs":{"__fileSize":18944,"__fileMimeType":"image/png","width":371,"id":"1cdebd30-718a-4b89-8762-a94bc6c22456","collection":"contentId-1438549","type":"file","__fileName":"Snap_SnowflakeExecute_Output.png","height":406}}]},{"type":"paragraph","content":[{"text":"We can see that the count is 3, thereby confirming a successful bulk load.","type":"text"}]},{"type":"paragraph","content":[{"text":"You can also modify the SELECT query in the Snowflake Execute Snap to read the data in the table and thus verify the data loaded into the target table. 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