![]() XML (for loading only data cannot be unloaded from tables to XML format)įor more details about CSV, see Usage Notes in this topic. PARQUET (for loading or unloading)īinary file in PARQUET format. ORC (for loading only data cannot be unloaded to ORC format)īinary file in ORC format. ![]() When unloading table data to files, Snowflake outputs only to NDJSON format.ĪVRO (for loading only data cannot be unloaded to AVRO format)īinary file in AVRO format. Standard format or comma-separated JSON format. When loading data from files into tables, Snowflake supports either NDJSON (“Newline Delimited JSON”) A single JSON document may span multiple lines. Theĭocuments can be comma-separated (and optionally enclosed in a big array). JSON (for loading or unloading)Īny plain text file consisting of one or more JSON documents (objects, arrays, etc). new line characters).Īlthough the name, CSV, suggests comma-separated values, any valid character can be used as a field separator. Separators for fields within records (e.g. In the first example, we'll use the FLATTEN command to access a nested object.FormatTypeOptions ::= - If TYPE = CSV COMPRESSION = AUTO | GZIP | BZ2 | BROTLI | ZSTD | DEFLATE | RAW_DEFLATE | NONE RECORD_DELIMITER = ' ' | NONE FIELD_DELIMITER = ' ' | NONE FILE_EXTENSION = ' ' PARSE_HEADER = TRUE | FALSE SKIP_HEADER = SKIP_BLANK_LINES = TRUE | FALSE DATE_FORMAT = ' ' | AUTO TIME_FORMAT = ' ' | AUTO TIMESTAMP_FORMAT = ' ' | AUTO BINARY_FORMAT = HEX | BASE64 | UTF8 ESCAPE = ' ' | NONE ESCAPE_UNENCLOSED_FIELD = ' ' | NONE TRIM_SPACE = TRUE | FALSE FIELD_OPTIONALLY_ENCLOSED_BY = ' ' | NONE NULL_IF = ( ' ' ) ERROR_ON_COLUMN_COUNT_MISMATCH = TRUE | FALSE REPLACE_INVALID_CHARACTERS = TRUE | FALSE EMPTY_FIELD_AS_NULL = TRUE | FALSE SKIP_BYTE_ORDER_MARK = TRUE | FALSE ENCODING = ' ' | UTF8 - If TYPE = JSON COMPRESSION = AUTO | GZIP | BZ2 | BROTLI | ZSTD | DEFLATE | RAW_DEFLATE | NONE DATE_FORMAT = ' ' | AUTO TIME_FORMAT = ' ' | AUTO TIMESTAMP_FORMAT = ' ' | AUTO BINARY_FORMAT = HEX | BASE64 | UTF8 TRIM_SPACE = TRUE | FALSE NULL_IF = ( ' ' ) FILE_EXTENSION = ' ' ENABLE_OCTAL = TRUE | FALSE ALLOW_DUPLICATE = TRUE | FALSE STRIP_OUTER_ARRAY = TRUE | FALSE STRIP_NULL_VALUES = TRUE | FALSE REPLACE_INVALID_CHARACTERS = TRUE | FALSE IGNORE_UTF8_ERRORS = TRUE | FALSE SKIP_BYTE_ORDER_MARK = TRUE | FALSE - If TYPE = AVRO COMPRESSION = AUTO | GZIP | BROTLI | ZSTD | DEFLATE | RAW_DEFLATE | NONE TRIM_SPACE = TRUE | FALSE REPLACE_INVALID_CHARACTERS = TRUE | FALSE NULL_IF = ( ' ' ) - If TYPE = ORC TRIM_SPACE = TRUE | FALSE REPLACE_INVALID_CHARACTERS = TRUE | FALSE NULL_IF = ( ' ' ) - If TYPE = PARQUET COMPRESSION = AUTO | LZO | SNAPPY | NONE SNAPPY_COMPRESSION = TRUE | FALSE BINARY_AS_TEXT = TRUE | FALSE USE_LOGICAL_TYPE = TRUE | FALSE TRIM_SPACE = TRUE | FALSE REPLACE_INVALID_CHARACTERS = TRUE | FALSE NULL_IF = ( ' ' ) - If TYPE = XML COMPRESSION = AUTO | GZIP | BZ2 | BROTLI | ZSTD | DEFLATE | RAW_DEFLATE | NONE IGNORE_UTF8_ERRORS = TRUE | FALSE PRESERVE_SPACE = TRUE | FALSE STRIP_OUTER_ELEMENT = TRUE | FALSE DISABLE_SNOWFLAKE_DATA = TRUE | FALSE DISABLE_AUTO_CONVERT = TRUE | FALSE REPLACE_INVALID_CHARACTERS = TRUE | FALSE SKIP_BYTE_ORDER_MARK = TRUE | FALSEĪny flat, delimited plain text file that uses specific characters as: To illustrate how the FLATTEN command works, let's look at a few examples. This makes it easy to access specific data without having to traverse the entire object. The FLATTEN command also allows you to specify a path to the data you want to access. This flattened version makes it easier to access the data you need, as it removes the need to traverse the object's hierarchy. It takes a JSON object as an argument and returns a flattened version of the object. The FLATTEN command is a Snowflake function that allows you to query nested JSON data. In this article, we'll look at how to use the FLATTEN command to query JSON data. It allows you to easily access nested data, and it can be used to quickly extract the data you need. Snowflake's FLATTEN command is a powerful tool for querying JSON data. But querying JSON data can be tricky, as it's not always easy to access the data you need. It's a lightweight format that is easy to read and write, and it's becoming the go-to format for many web applications. JSON data is becoming increasingly popular as a way to store and share data.
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