briandilley

package com.flipagram.core.auth;

import org.joda.time.DateTime;

import com.fasterxml.jackson.annotation.JsonIgnore;
import com.flipagram.lib.joda.JodaUtil;
import com.flipagram.lib.model.AbstractModelObject;
import com.flipagram.lib.model.Fid;
import com.flipagram.lib.model.JsonBackedModelObject;
import com.flipagram.lib.util.StringUtil;

briandilley

package com.flipagram.lib.model;

import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.io.Serializable;

import javax.validation.constraints.NotNull;

import com.flipagram.lib.util.Base62;

briandilley

package com.cheerfulinc.flipagram.client.command;

import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.Calendar;
import java.util.List;

briandilley

brian@brian-linux:~/projects/pressed-python$ git pull
remote: Counting objects: 1969, done.
remote: Compressing objects: 100% (1708/1708), done.
remote: Total 1742 (delta 1287), reused 0 (delta 0)
Receiving objects: 100% (1742/1742), 713.63 KiB | 622 KiB/s, done.
Resolving deltas: 100% (1287/1287), completed with 169 local objects.
From git+ssh://pressedgit/pressed-python
   b78346c..a24c152  master     -> origin/master
 * [new branch]      checkout-views -> origin/checkout-views
 * [new branch]      mobile     -> origin/mobile

briandilley

    subquery = query.subquery()

    unnest_expr = expr.select(columns=[distinct(func.unnest(subquery.c.attribute_ids))], from_obj=subquery)
    array_expr = expr.select(columns=[func.array(unnest_expr)])


generates:

SELECT array((SELECT DISTINCT unnest(anon_1.attribute_ids) 

briandilley

mapping
=================
{
	"analysis": {
		"analyzer": {
		    "username_index": {
		        "tokenizer":	"keyword",