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from loc.models.index import get_solr_connection
from loc.models.index import solr_safe_value
import json


conn = get_solr_connection()
my_fq = ["original-format:newspaper", "hassegments:true", 'partof_title:"yellowstone monitor. \(glendive, mont.\) 1905-1928"', 'date:[1911-01-01T00:00:00Z TO 1912-12-31T00:00:00Z]']
res = conn.raw_query(fq=my_fq, wt='json', rows=1000)
c = json.loads(res)['response']['docs']
print len(c)

dapangmao

<link href="https://cdn.rawgit.com/dapangmao/a1813e270dec8d1f3383fca7ed0a3e9f/raw/fc2edcd37c839a84fe8ac576ec62b9da5f183870/bs.css" rel="stylesheet">
<script src="https://cdn.rawgit.com/Paul-DS/bootstrap-year-calendar/master/js/bootstrap-year-calendar.js"></script>
<link rel="stylesheet" type="text/css" href="https://cdn.rawgit.com/Paul-DS/bootstrap-year-calendar/master/css/bootstrap-year-calendar.css">

<div class="bootstrap" id="calendar" data-provide="calendar" style="margin-bottom: 30px"></div>


<script>

    $(function () {

dapangmao

.bootstrap {
  /*!
 * Bootstrap v3.3.7 (http://getbootstrap.com)
 * Copyright 2011-2016 Twitter, Inc.
 * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
 */
  /*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
  /*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
}
.bootstrap html {

dapangmao

package main

import (
	"io/ioutil"
	"path/filepath"
	"os"
	"fmt"
	"sync"
	"flag"
	"time"

dapangmao

Chapter 1 Getting in to Go

• 1.1 What is Go?
• 1.2 Noteworthy Aspects of Go
• 1.2.1 Multiple Return Values
• 1.2.2 A Modern Standard Library
• 1.2.3 Concurrency with goroutines and channels
• 1.2.4 Go the toolchain, more than a language
• 1.3 Go in the vast language landscape
• 1.3.1 C and Go

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Combining Docker and Elasticsearch together will make many things in life easier. Depending on the scales, there are three scenarios for an implementation of Elasticsearch use case -

• 1. Single ES instance and single machine
• 2. Multiple ES instances and single machine
• 3. Multiple ES instances and multiple machines

Docker has three mechanisms corresponding to each of the scenarios above.

• 1. Docker commands
• 2. Docker Compose

dapangmao

postgret的select查询规则如下所示，使用get方式提交请求：

http://localhost:3000/stock_info?select=close,tradingdate&tradingdate=lt.20160429&order=close.desc&limit=15 url中包含表名?select=字段名1,字段名2&过滤条件字段=比较运算符.值&order=排序字段.正序&limit=数量

其中比较运算符包括：

abbreviation	meaning
eq	equals
gte	greater than or equal

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CREATE OR REPLACE FUNCTION public.login(email text, pass text)
 RETURNS basic_auth.jwt_token
 LANGUAGE plpgsql
AS $function$
declare
  _role name;
  result basic_auth.jwt_token;
begin
  -- check email and password
  select basic_auth.user_role(email, pass) into _role;

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-- https://postgrest.com/en/v0.4/auth.html#sql-user-management


create schema if not exists basic_auth;

create table if not exists
basic_auth.users (
  email    text primary key check ( email ~* '^.+@.+\..+$' ),
  pass     text not null check (length(pass) < 512),
  role     name not null check (length(role) < 512)

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set nocompatible              " required
filetype off                  " required

" set the runtime path to include Vundle and initialize
set rtp+=~/.vim/bundle/Vundle.vim
call vundle#begin()

Plugin 'gmarik/Vundle.vim'
Plugin 'tmhedberg/SimpylFold'
Plugin 'vim-scripts/indentpython.vim'