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app_rating_android.html
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<!-- Automatically generated by RStudio [12861c30b10411e1afa60800200c9a66] -->
<h3>app_rating_android.r</h3>
<p>shill — <em>May 7, 2013, 10:09 AM</em></p>
<pre><code class="r">### This file has a series of utility functions, followed by the solution to ticket 24257 ###
### Annotated by a bunch of asterisks ###
### By Erik Gregory ###
### 2013-04-11 ###
library(multicore)
require(RPostgreSQL)
</code></pre>
<pre><code>Loading required package: RPostgreSQL
</code></pre>
<pre><code>Warning: package 'RPostgreSQL' was built under R version 2.15.3
</code></pre>
<pre><code>Loading required package: DBI
</code></pre>
<pre><code class="r">library(chron)
library(plyr)
library(forecast)
</code></pre>
<pre><code>Warning: package 'forecast' was built under R version 2.15.3
</code></pre>
<pre><code>This is forecast 4.03
</code></pre>
<pre><code class="r">library(inline)
#' @param user your username for the greenplum database
#' @param password your password
#' @param dbnam, default "prod"
#' @param host default "gp.tagged.com"
#' @param port port of the database on the host
#' @param driver the type of database driver to use
makeCxn <- function(user = "egregory", password = "egregory",
dbname = "prod", host = "gp.tagged.com",
port = 5432, driver = "PostgreSQL") {
drv <- dbDriver(driver)
cxn <- dbConnect(drv, user = user, password = password,
dbname = dbname, host = host, port = port)
cxn
}
#'@author Rober McGehee
#'@source https://stat.ethz.ch/pipermail/r-sig-db/2010q3/000868.html
dbInsert <- function(con, name, value, row.names = TRUE, ...) {
xx <- dbSendQuery(con, paste("select * from", name, "LIMIT 1;"))
cols <- dbColumnInfo(xx)$name
dbClearResult(xx)
if (row.names) {
if (!"row_names" %in% cols) stop("row_names column missing from
", sQuote(name))
value[["row_names", exact=TRUE]] <- rownames(value)
}
if (length(setdiff(names(value), cols)))
stop("names of 'value' do not match columns of ", sQuote(name))
cdt <- which(sapply(value, inherits, c("Date", "POSIXt")))
ctxt <- which(sapply(value, postgresqlDataType)=="text")
for (i in cdt)
value[[i]] <- ifelse(is.na(value[[i]]), "NULL",
sQuote(format(value[[i]])))
for (i in setdiff(ctxt, cdt))
value[[i]] <- ifelse(is.na(value[[i]]), "NULL",
sQuote(value[[i]]))
m <- as.matrix(value)
class(m) <- "character"
m[is.na(m)] <- "NULL"
q1 <- paste("BEGIN; INSERT INTO", name, "(", paste(names(value),
collapse=", "), ") VALUES")
q2 <- apply(m, 1, function(x) paste("(", paste(x, collapse=","),
")", sep=""))
q3 <- "; COMMIT;"
qry <- paste(q1, paste(q2, collapse=","), q3)
dbGetQuery(con, qry)
}
#' @param query the query you want to make to the SQL connection you've specified
#' @param user your username for the greenplum database
#' @param password your password
#' @param dbnam, default "prod"
#' @param host default "gp.tagged.com"
#' @param port port of the database on the host
#' @param driver the type of database driver to use
fetchQuery <- function(query, user = "egregory", password = "egregory",
dbname = "prod", host = "gp.tagged.com",
port = 5432, n = -1, verbose = TRUE) {
res <- NA
cxn <- makeCxn(user = user, password = password,
dbname = dbname, host = host, port = port)
t1 <- Sys.time()
tmp <- try(dbSendQuery(cxn, query))
if (!('try-error' %in% class(tmp))) {
res <- try(fetch(tmp, n))
if (verbose) {
print(Sys.time() - t1)
print(dim(res))
}
}
dbDisconnect(cxn)
res
}
#'@example {
#'a <- "CREATE TABLE sandbox.test_r_insert(user_id numeric(15, 0), dt date)"
#'tst <- fetchQuery(a)
#'datas <- data.frame(user_id = 0:10, dt = seq(as.Date('2012-01-01'), as.Date('2012-01-10'), "days"))}
insertData <- function(name, value, user = "egregory", password = "egregory",
dbname = "prod", host = "gp.tagged.com",
port = 5432, n = -1, verbose = TRUE) {
cxn <- makeCxn(user = user, password = password,
dbname = dbname, host = host, port = port)
t1 <- Sys.time()
res <- try(dbWriteTable(conn = cxn, name = name, value = value, row.names = FALSE, overwrite = TRUE))
if (verbose) {
print(Sys.time() - t1)
print(dim(res))
}
dbDisconnect(cxn)
res
}
getTables <- function(user = "egregory", password = "egregory",
dbname = "prod", host = "gp.tagged.com",
port = 5432) {
a <- makeCxn(user = user, password = password,
dbname = dbname, host = host, port = port)
tbls <- dbListTables(a)
dbDisconnect(a)
tbls
}
getFields <- function(tables, user = "egregory", password = "egregory",
dbname = "prod", host = "gp.tagged.com",
port = 5432) {
a <- makeCxn(user = user, password = password,
dbname = dbname, host = host, port = port)
tbls <- lapply(tables, function(i) try(dbListFields(a, i)))
names(tbls) <- tables
dbDisconnect(a)
tbls
}
searchTables <- function(str) {
all.tbls[grep(str, all.tbls)]
}
searchTbls <- function(str) {
tbls[grep(str, tbls)]
}
queryByDateRange <- function(query, min.date = as.character(Sys.Date() - 1), max.date = NULL) {
if (is.null(max.date)) {
max.date <- min.date
}
dates <- as.character(seq(as.Date(min.date), as.Date(max.date) + 1, 'day'))
N <- length(dates)
res <- list()
for (i in 1:(N - 1)) {
str.start <- paste("DATE('", dates[i], "') ", sep = "")
str.end <- paste("DATE('", dates[i + 1], "') ", sep = "")
tmp.query <- gsub(":start_date", str.start, query, fixed = TRUE)
tmp.query <- gsub(":end_date", str.end, tmp.query, fixed = TRUE)
cat(tmp.query)
res[[dates[i]]] <- fetchQuery(tmp.query)
}
res
}
addColumns <- function(df, outlier.thresh = 0.10, time.unit = "mins", min_dt = NULL) {
if (!("POSIXct" %in% class(df$dt))) {
df$dt <- as.POSIXct(df$dt)
}
df$weekday <- factor(weekdays(df$dt))
df$minute <- factor(minutes(df$dt))
df$hour <- factor((hours(df$dt) - 8) %% 24)
df$minute_of_day <- factor(as.numeric(as.character(df$hour))*60 + as.numeric(as.character(df$minute)))
df <- df[order(df$dt), ]
if (df$dt[1] - df$dt[2] == structure(-1, tzone = "", units = "mins", class = "difftime")) {
if ("median.value" %in% names(df)) { # If we already have median values
}
df <- ddply(df, c('weekday', 'hour', 'minute'), transform,
median.value = median(value)) # Add medians for each weekday/minute combo
}
else {
df <- ddply(df, c('weekday', 'hour'), transform,
median.value = median(value)) # Add medians for each weekday/hour combo
}
df <- transform(df, dev = (value - median.value)/median.value)
df$outlier <- ifelse(abs(df$dev) > outlier.thresh, TRUE, FALSE)
if (is.null(min_dt)) {
min_dt <- min(df$dt)
}
df$time_id <- round(difftime(df$dt, min_dt, unit = time.unit))
df <- df[order(df$dt), ]
df
}
# Oracle port number 1521
# dbname taganalysis
# user taganalysis
# password $taganalysis$
# host 10.15.40.120
# ana_metrics table
all.tbls <- getTables()
tbls <- gsub('[0-9]+', '', all.tbls)
tbls <- unique(tbls)
####### Ticket 24257 ######
# Bottom and top bounds on your time period of interest in which you want to look at user behavior
min_date <- "2013-04-21"
max_date <- "2013-04-27"
days_back <- 14 # Time period previous to the days above in which you want to consider android user messaging behavior
min_messages_sent <- 10 # Number of messages the user must have sent in the defined time period
min_messages_received <- 5 # Number of messages the user must have received in the defined time period
min_days_messages_sent <- 5 # Number of days the user must have sent at least one message during the defined time period
bottom_date <- as.character(as.Date(min_date) - days_back) # The absolute minimum date we want to pull users from
# Get user_ids of people who used android during the week of interest.
query.drop.android_uid <- "DROP TABLE IF EXISTS sandbox.android_uid"
fetchQuery(query.drop.android_uid) # Make sure there is a place to store android uids
</code></pre>
<pre><code>Time difference of 0.006033 secs
NULL
</code></pre>
<pre><code>[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")
[1] "try-error"
attr(,"condition")
<simpleError in postgresqlFetch(res, n, ...): RS-DBI driver: (resultSet does not correspond to a SELECT statement)>
</code></pre>
<pre><code class="r">query.create.android_uid <- "CREATE TABLE sandbox.android_uid (
user_id numeric(15, 0)
)"
fetchQuery(query.create.android_uid) # Create table
</code></pre>
<pre><code>Time difference of 1.508 secs
NULL
</code></pre>
<pre><code>[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")
[1] "try-error"
attr(,"condition")
<simpleError in postgresqlFetch(res, n, ...): RS-DBI driver: (resultSet does not correspond to a SELECT statement)>
</code></pre>
<pre><code class="r">
query.insert.android_uid <- "INSERT INTO sandbox.android_uid
SELECT DISTINCT m.user_id
FROM mobile_api_log m
WHERE (m.mobile_type LIKE 'Tagged/%/an%'
OR m.mobile_type LIKE 'Hi5/%/an%'
OR m.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Remove all Android UAs
AND m.dt >= :start_date
AND m.dt < :end_date
AND NOT EXISTS (
SELECT 1 FROM sandbox.android_uid siu
WHERE siu.user_id = m.user_id
) -- avoid adding duplicate entries
AND (m.mobile_type LIKE '%Tagged%'
OR m.mobile_type LIKE '%Hi5%') -- UAs for mobile applications"
# More efficient: Left outer join to make sure uid does not already exist
# LEFT OUTER JOIN sandbox.android_uid WHERE alias.user_id is null
queryByDateRange(query.insert.android_uid, min_date, max_date) # Fill Table
</code></pre>
<pre><code>INSERT INTO sandbox.android_uid
SELECT DISTINCT m.user_id
FROM mobile_api_log m
WHERE (m.mobile_type LIKE 'Tagged/%/an%'
OR m.mobile_type LIKE 'Hi5/%/an%'
OR m.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Remove all Android UAs
AND m.dt >= DATE('2013-04-21')
AND m.dt < DATE('2013-04-22')
AND NOT EXISTS (
SELECT 1 FROM sandbox.android_uid siu
WHERE siu.user_id = m.user_id
) -- avoid adding duplicate entries
AND (m.mobile_type LIKE '%Tagged%'
OR m.mobile_type LIKE '%Hi5%') -- UAs for mobile applicationsTime difference of 25.4 secs
NULL
INSERT INTO sandbox.android_uid
SELECT DISTINCT m.user_id
FROM mobile_api_log m
WHERE (m.mobile_type LIKE 'Tagged/%/an%'
OR m.mobile_type LIKE 'Hi5/%/an%'
OR m.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Remove all Android UAs
AND m.dt >= DATE('2013-04-22')
AND m.dt < DATE('2013-04-23')
AND NOT EXISTS (
SELECT 1 FROM sandbox.android_uid siu
WHERE siu.user_id = m.user_id
) -- avoid adding duplicate entries
AND (m.mobile_type LIKE '%Tagged%'
OR m.mobile_type LIKE '%Hi5%') -- UAs for mobile applicationsTime difference of 22.4 secs
NULL
INSERT INTO sandbox.android_uid
SELECT DISTINCT m.user_id
FROM mobile_api_log m
WHERE (m.mobile_type LIKE 'Tagged/%/an%'
OR m.mobile_type LIKE 'Hi5/%/an%'
OR m.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Remove all Android UAs
AND m.dt >= DATE('2013-04-23')
AND m.dt < DATE('2013-04-24')
AND NOT EXISTS (
SELECT 1 FROM sandbox.android_uid siu
WHERE siu.user_id = m.user_id
) -- avoid adding duplicate entries
AND (m.mobile_type LIKE '%Tagged%'
OR m.mobile_type LIKE '%Hi5%') -- UAs for mobile applicationsTime difference of 13.94 secs
NULL
INSERT INTO sandbox.android_uid
SELECT DISTINCT m.user_id
FROM mobile_api_log m
WHERE (m.mobile_type LIKE 'Tagged/%/an%'
OR m.mobile_type LIKE 'Hi5/%/an%'
OR m.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Remove all Android UAs
AND m.dt >= DATE('2013-04-24')
AND m.dt < DATE('2013-04-25')
AND NOT EXISTS (
SELECT 1 FROM sandbox.android_uid siu
WHERE siu.user_id = m.user_id
) -- avoid adding duplicate entries
AND (m.mobile_type LIKE '%Tagged%'
OR m.mobile_type LIKE '%Hi5%') -- UAs for mobile applicationsTime difference of 11.05 secs
NULL
INSERT INTO sandbox.android_uid
SELECT DISTINCT m.user_id
FROM mobile_api_log m
WHERE (m.mobile_type LIKE 'Tagged/%/an%'
OR m.mobile_type LIKE 'Hi5/%/an%'
OR m.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Remove all Android UAs
AND m.dt >= DATE('2013-04-25')
AND m.dt < DATE('2013-04-26')
AND NOT EXISTS (
SELECT 1 FROM sandbox.android_uid siu
WHERE siu.user_id = m.user_id
) -- avoid adding duplicate entries
AND (m.mobile_type LIKE '%Tagged%'
OR m.mobile_type LIKE '%Hi5%') -- UAs for mobile applicationsTime difference of 25.04 secs
NULL
INSERT INTO sandbox.android_uid
SELECT DISTINCT m.user_id
FROM mobile_api_log m
WHERE (m.mobile_type LIKE 'Tagged/%/an%'
OR m.mobile_type LIKE 'Hi5/%/an%'
OR m.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Remove all Android UAs
AND m.dt >= DATE('2013-04-26')
AND m.dt < DATE('2013-04-27')
AND NOT EXISTS (
SELECT 1 FROM sandbox.android_uid siu
WHERE siu.user_id = m.user_id
) -- avoid adding duplicate entries
AND (m.mobile_type LIKE '%Tagged%'
OR m.mobile_type LIKE '%Hi5%') -- UAs for mobile applicationsTime difference of 18.97 secs
NULL
INSERT INTO sandbox.android_uid
SELECT DISTINCT m.user_id
FROM mobile_api_log m
WHERE (m.mobile_type LIKE 'Tagged/%/an%'
OR m.mobile_type LIKE 'Hi5/%/an%'
OR m.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Remove all Android UAs
AND m.dt >= DATE('2013-04-27')
AND m.dt < DATE('2013-04-28')
AND NOT EXISTS (
SELECT 1 FROM sandbox.android_uid siu
WHERE siu.user_id = m.user_id
) -- avoid adding duplicate entries
AND (m.mobile_type LIKE '%Tagged%'
OR m.mobile_type LIKE '%Hi5%') -- UAs for mobile applicationsTime difference of 21.01 secs
NULL
</code></pre>
<pre><code>$`2013-04-21`
[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")
[1] "try-error"
attr(,"condition")
<simpleError in postgresqlFetch(res, n, ...): RS-DBI driver: (resultSet does not correspond to a SELECT statement)>
$`2013-04-22`
[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")
[1] "try-error"
attr(,"condition")
<simpleError in postgresqlFetch(res, n, ...): RS-DBI driver: (resultSet does not correspond to a SELECT statement)>
$`2013-04-23`
[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")
[1] "try-error"
attr(,"condition")
<simpleError in postgresqlFetch(res, n, ...): RS-DBI driver: (resultSet does not correspond to a SELECT statement)>
$`2013-04-24`
[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")
[1] "try-error"
attr(,"condition")
<simpleError in postgresqlFetch(res, n, ...): RS-DBI driver: (resultSet does not correspond to a SELECT statement)>
$`2013-04-25`
[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")
[1] "try-error"
attr(,"condition")
<simpleError in postgresqlFetch(res, n, ...): RS-DBI driver: (resultSet does not correspond to a SELECT statement)>
$`2013-04-26`
[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")
[1] "try-error"
attr(,"condition")
<simpleError in postgresqlFetch(res, n, ...): RS-DBI driver: (resultSet does not correspond to a SELECT statement)>
$`2013-04-27`
[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")
[1] "try-error"
attr(,"condition")
<simpleError in postgresqlFetch(res, n, ...): RS-DBI driver: (resultSet does not correspond to a SELECT statement)>
</code></pre>
<pre><code class="r">
# Get all android app session ids, within days_back days, of the users who used the android app during the sample week
query.drop.android_app_sessions <- "DROP TABLE IF EXISTS sandbox.android_app_sessions"
fetchQuery(query.drop.android_app_sessions)
</code></pre>
<pre><code>Time difference of 0.004574 secs
NULL
</code></pre>
<pre><code>[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")
[1] "try-error"
attr(,"condition")
<simpleError in postgresqlFetch(res, n, ...): RS-DBI driver: (resultSet does not correspond to a SELECT statement)>
</code></pre>
<pre><code class="r">query.create.android_app_sessions <- "CREATE TABLE sandbox.android_app_sessions (
session_id varchar(32)
)"
fetchQuery(query.create.android_app_sessions) # Create table
</code></pre>
<pre><code>Time difference of 5.138 secs
NULL
</code></pre>
<pre><code>[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")
[1] "try-error"
attr(,"condition")
<simpleError in postgresqlFetch(res, n, ...): RS-DBI driver: (resultSet does not correspond to a SELECT statement)>
</code></pre>
<pre><code class="r">
query.insert.android_app_sessions <- "INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= :start_date
AND l.dt < :end_date
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rows"
queryByDateRange(query.insert.android_app_sessions, bottom_date, max_date) # populate table
</code></pre>
<pre><code>INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-07')
AND l.dt < DATE('2013-04-08')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 19.16 secs
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-08')
AND l.dt < DATE('2013-04-09')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 29.11 secs
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-09')
AND l.dt < DATE('2013-04-10')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 30.17 secs
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-10')
AND l.dt < DATE('2013-04-11')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 45.78 secs
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-11')
AND l.dt < DATE('2013-04-12')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 1.127 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-12')
AND l.dt < DATE('2013-04-13')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 25.15 secs
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-13')
AND l.dt < DATE('2013-04-14')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 39.61 secs
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-14')
AND l.dt < DATE('2013-04-15')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 1.812 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-15')
AND l.dt < DATE('2013-04-16')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 2.635 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-16')
AND l.dt < DATE('2013-04-17')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 2.476 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-17')
AND l.dt < DATE('2013-04-18')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 3.42 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-18')
AND l.dt < DATE('2013-04-19')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 2.805 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-19')
AND l.dt < DATE('2013-04-20')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 2.379 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-20')
AND l.dt < DATE('2013-04-21')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 2.313 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-21')
AND l.dt < DATE('2013-04-22')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 3.327 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-22')
AND l.dt < DATE('2013-04-23')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 3.215 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-23')
AND l.dt < DATE('2013-04-24')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 3.504 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-24')
AND l.dt < DATE('2013-04-25')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 4.37 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-25')
AND l.dt < DATE('2013-04-26')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 2.973 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-26')
AND l.dt < DATE('2013-04-27')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 3.607 mins
NULL
INSERT INTO sandbox.android_app_sessions
SELECT DISTINCT l.session_id
FROM mobile_api_log l, sandbox.android_uid iu
WHERE iu.user_id = l.user_id -- We only care about known android users during the week in question
AND l.dt >= DATE('2013-04-27')
AND l.dt < DATE('2013-04-28')
AND (l.mobile_type LIKE 'Tagged/%/an%'
OR l.mobile_type LIKE 'Hi5/%/an%'
OR l.mobile_type = 'Tagged/2.0+CFNetwork/459 Darwin/10.0.0d3') -- Not android user
AND (l.mobile_type LIKE '%Tagged%'
OR l.mobile_type LIKE '%Hi5%') -- is mobile app user
AND l.session_id NOT IN (
SELECT session_id FROM sandbox.android_app_sessions
) -- avoid duplicate rowsTime difference of 3.031 mins
NULL
</code></pre>
<pre><code>$`2013-04-07`
[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")
[1] "try-error"
attr(,"condition")
<simpleError in postgresqlFetch(res, n, ...): RS-DBI driver: (resultSet does not correspond to a SELECT statement)>
$`2013-04-08`
[1] "Error in postgresqlFetch(res, n, ...) : \n RS-DBI driver: (resultSet does not correspond to a SELECT statement)\n"
attr(,"class")