ewhauser

diff --git a/internal_setup.bzl b/internal_setup.bzl
index a80099f..56eb486 100644
--- a/internal_setup.bzl
+++ b/internal_setup.bzl
@@ -21,7 +21,7 @@ load("@rules_bazel_integration_test//bazel_integration_test:deps.bzl", "bazel_in
 load("@rules_bazel_integration_test//bazel_integration_test:repo_defs.bzl", "bazel_binaries")
 load("@rules_proto//proto:repositories.bzl", "rules_proto_dependencies", "rules_proto_toolchains")
 load("//:version.bzl", "SUPPORTED_BAZEL_VERSIONS")
-load("//python/pip_install:repositories.bzl", "pip_install_dependencies")
+load("//python/pip_install:repositories.bzl", "pip_install_dependencies", "uv_dependencies")

ewhauser

import inspect
import itertools

from python.nplusone.core import signals
from sqlalchemy.engine import ScalarResult
from sqlalchemy.orm import attributes, loading, query, strategies


def to_key(instance):
    model = type(instance)

ewhauser

 pkg_tar(
     name = "interpreter",
     srcs = [
         "@python3_9//:files",
     ],
     mode = "0644",
     package_dir = "/usr/local/python",
     strip_prefix = ".",
 )

ewhauser

gunicorn_binary(
    name = "hello",
    args = ["hello:app"],
    deps = [
        "@pypi_flask//:pkg",
    ],
)

ewhauser

name: "Terraform"
on:
  push:
    branches:
      - main
    paths:
      - terraform/**
  pull_request:
    branches:
      - main

ewhauser

SELECT
  FORMAT_DATE('%F', d) as id,
  d AS full_date,
  EXTRACT(YEAR FROM d) AS year,
  EXTRACT(WEEK FROM d) AS year_week,
  EXTRACT(DAY FROM d) AS year_day,
  EXTRACT(YEAR FROM d) AS fiscal_year,
  FORMAT_DATE('%Q', d) as fiscal_qtr,
  EXTRACT(MONTH FROM d) AS month,
  FORMAT_DATE('%B', d) as month_name,

ewhauser

SELECT repo.name, JSON_EXTRACT(payload, '$.issue.number') as issue_id, COUNT(*) as count, JSON_EXTRACT(payload, '$.issue.title') as title
FROM `githubarchive.month.*`
WHERE type = 'IssueCommentEvent'
and repo.name = 'angular/angular'
and (_TABLE_SUFFIX like '2019%' or _TABLE_SUFFIX like '2018%' or _TABLE_SUFFIX like '2017%')
GROUP BY repo.name, issue_id, title
ORDER BY count desc

ewhauser

#!/usr/bin/env python3
"""
Requirements:
pip install requests python-dateutil
"""
import dateutil.parser as dp
import csv
import sys

from optparse import OptionParser

ewhauser

Keybase proof

I hereby claim:

• I am ewhauser on github.
• I am ewhauser (https://keybase.io/ewhauser) on keybase.
• I have a public key ASDgt9UmpXcLznvoNPS0LsfUbzCUQPcbaceAg8QC2CAZlgo

To claim this, I am signing this object:

ewhauser

These notes are from Facebook's Analytics @ Scale conference.  I didn't take notes from the presentation or discussions with developers, so feel free to correct any inconsistencies:

- Presto is an ANSI SQL engine built on top of HDFS
- Similar functionality to Cloudera's Impala
- Facebook started developing this project prior to the Impala annoucement, some different design choices
- Implemented in Java
- Queries execute around 10x faster than Hive, aggregation based queries can be 100x times faster
- Byte code generation is used for efficient predicate processing
- Efficient fixed memory data structures are used (very low GC overhead)
- Presto daemons do not have to run on data nodes