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How to Free Up Space on Your iPhone or iPad.How to Block Robotexts and Spam Messages.This syntax is easy to type and understand. ::timestamp is how we cast in Snowflake the UNIX time to a regular timestamp.Snowflake allows us to navigate JSON objects easily with this syntax. :created_utc is the name of the key that reddit chose to contain the timestamp in seconds since epoch.v is the name we gave to the column containing our variant.This query ran in 0.116 seconds, and you can immediately notice some convenient SQL syntax in Snowflake: Let’s see how many comments and time ranges this table contains: select count(*) comments, min(v:created_utc)::timestamp since, max(v:created_utc)::timestamp until from reddit_comments_sample # 84,448,007 COMMENTS # 16:00:00.000 SINCE # 04:40:50.000 UNTIL While writing this I’m still waiting for the unzstd+split+gz process to finish, so I ran these tests with only the first 140 gzip files (each with 100GB of comments, per our instructions to split). Once the comments are ingested into our Snowflake table, we can start having fun with SQL. White Paper for SIGMOD (by Snowflake founders Thierry, Benoit and Team, 2016) Fun with SQL Automatic schema discovery and columnar storage make operations on schema-less, semi-structured data nearly as fast as over plain relational data, without any user effort. Snowflake offers built-in functions and SQL extensions for traversing, flattening, and nesting of semi-structured data, with support for popular formats such as JSON and Avro. For example, 140GB of raw json encoded comments use only 11.8GB of storage once in Snowflake. The destination table has only one column that will store the JSON object with the VARIANT type.Snowflake auto-detect files compressed with gzip.Snowflake natively understands json objects, and stores them in a semi-columnar format.What’s interesting about this table on Snowflake: json.gz files from S3 into a Snowflake native table: create or replace table reddit_comments_sample(v variant) copy into reddit_comments_sample from file_format = (type=json) Then Snowflake can see these files by following the docs to create a storage integration: use role accountadmin create or replace storage integration s3_int_reddit type = external_stage storage_provider = s3 enabled = true storage_aws_role_arn = 'arn:aws:iam::4815162342:role/my_role' storage_allowed_locations = ('s3://my-s3/') desc integration s3_int_reddit grant create stage on schema public to role sysadmin grant usage on integration s3_int_reddit to role sysadmin use role sysadmin create or replace stage my_ext_stage_reddit url='s3://my-s3/' storage_integration = s3_int_reddit list we can ingest these. Unzstd+split+gzip at work Push to S3 and Snowflakeīecause I chose a Graviton2 VM, the easiest way to make the files available to Snowflake was to move them to S3 ( snowsql is not yet available on Arm): aws s3 cp -recursive.
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These are the archives that I’ll load into Snowflake, but first I need to download them.įor example, all the reddit comments from December 2020 live in a 19GB file: Jason Baumgartner shares through PushShift.io billions of reddit comments and submissions.