{
“cells”: [
{

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“# Expressions, lazy mode and logging queriesn”, “n”, “So far, we have seen Ibis in interactive mode. Interactive mode (also known as eager mode) makes Ibis return then”, “results of an operation immediately.n”, “n”, “In most cases, instead of using interactive mode, it makes more sense to use the default lazy mode.n”, “In lazy mode, Ibis won’t be executing the operations automatically, but instead, will generate ann”, “expression to be executed at a later time.n”, “n”, “Let’s see this in practice, starting with the same example as in previous tutorials - the geography database.”

]

}, {

“cell_type”: “code”, “execution_count”: 1, “metadata”: {}, “outputs”: [], “source”: [

“import osn”, “import ibisn”, “n”, “n”, “connection = ibis.sqlite.connect(os.path.join(‘data’, ‘geography.db’))n”, “countries = connection.table(‘countries’)”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“In previous tutorials, we set interactive mode to True, and we obtained the resultn”, “of every operation.”

]

}, {

“cell_type”: “code”, “execution_count”: 2, “metadata”: {}, “outputs”: [

{
“data”: {
“text/plain”: [

” name continent populationn”, “0 Andorra EU 84000n”, “1 United Arab Emirates AS 4975593n”, “2 Afghanistan AS 29121286”

]

}, “execution_count”: 2, “metadata”: {}, “output_type”: “execute_result”

}

], “source”: [

“ibis.options.interactive = Truen”, “n”, “countries[‘name’, ‘continent’, ‘population’].limit(3)”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“But now let’s see what happens if we leave the interactive option to False (the default),n”, “and we operate in lazy mode.”

]

}, {

“cell_type”: “code”, “execution_count”: 3, “metadata”: {}, “outputs”: [

{
“data”: {

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n”, “text/plain”: [

“ref_0n”, “SQLiteTable[table]n”, ” name: countriesn”, ” schema:n”, ” iso_alpha2 : stringn”, ” iso_alpha3 : stringn”, ” iso_numeric : int32n”, ” fips : stringn”, ” name : stringn”, ” capital : stringn”, ” area_km2 : float64n”, ” population : int32n”, ” continent : stringn”, “n”, “ref_1n”, “Selection[table]n”, ” table:n”, ” Table: ref_0n”, ” selections:n”, ” name = Column[string*] ‘name’ from tablen”, ” ref_0n”, ” continent = Column[string*] ‘continent’ from tablen”, ” ref_0n”, ” population = Column[int32*] ‘population’ from tablen”, ” ref_0n”, “n”, “Limit[table]n”, ” table:n”, ” Table: ref_1n”, ” n:n”, ” 3n”, ” offset:n”, ” 0”

]

}, “execution_count”: 3, “metadata”: {}, “output_type”: “execute_result”

}

], “source”: [

“ibis.options.interactive = Falsen”, “n”, “countries[‘name’, ‘continent’, ‘population’].limit(3)”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“What we find is the graph of the expressions that would return the desired result instead of the result itself.n”, “n”, “Let’s analyze the expressions in the graph:n”, “n”, “- We query the countries table (all rows and all columns)n”, “- We select the name, continent and population columnsn”, “- We limit the results to only the first 3 rowsn”, “n”, “Now consider that the data is in a database, possibly in a diferent host than the one executing Ibis.n”, “Also consider that the results returned to the user need to be moved to the memory of the host executing Ibis.n”, “n”, “When using interactive (or eager) mode, if we perform one operation at a time, we would do:n”, “n”, “- We would move all the rows and columns from the backend (database, big data system, etc.) into memoryn”, “- Once in memory, we would discard all the columns but name, continent and populationn”, “- After that, we would discard all the rows, except the first 3n”, “n”, “This is not very efficient. If you consider that the table can have millions of rows, backed by an”, “big data system like Spark or Impala, this may not even be possible (not enough memory to load all the data).n”, “n”, “The solution is to use lazy mode. In lazy mode, instead of obtaining the results after each operation,n”, “we build an expression (a graph) of all the operations that need to be done. After all the operationsn”, “are recorded, the graph is sent to the backend which will perform the operation in an efficient way - onlyn”, “moving to memory the required data.n”, “n”, “You can think of this as writing a shopping list and requesting someone to go to the supermarket and buyn”, “everything you need once the list is complete. As opposed as getting someone to bring all the products ofn”, “the supermarket to your home and then return everything you don’t want.n”, “n”, “Let’s continue with our example, save the expression in a variable countries_expression, and check its type.”

]

}, {

“cell_type”: “code”, “execution_count”: 4, “metadata”: {}, “outputs”: [

{
“data”: {
“text/plain”: [

“ibis.expr.types.TableExpr”

]

}, “execution_count”: 4, “metadata”: {}, “output_type”: “execute_result”

}

], “source”: [

“countries_expression = countries[‘name’, ‘continent’, ‘population’].limit(3)n”, “type(countries_expression)”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“The type is an Ibis TableExpr, since the result is a table (in a broad way, you can consider it a dataframe).n”, “n”, “Now we have our query instructions (our expression, fetching only 3 columns and 3 rows) in the variable countries_expression.n”, “n”, “At this point, nothing has been requested from the database. We have defined what we want to extract, but we didn’tn”, “request it from the database yet. We can continue building our expression if we haven’t finished yet. Or once wen”, “are done, we can simply request it from the database using the method .execute().”

]

}, {

“cell_type”: “code”, “execution_count”: 5, “metadata”: {}, “outputs”: [

{
“data”: {
“text/html”: [

“<div>n”, “<style scoped>n”, ” .dataframe tbody tr th:only-of-type {n”, ” vertical-align: middle;n”, ” }n”, “n”, ” .dataframe tbody tr th {n”, ” vertical-align: top;n”, ” }n”, “n”, ” .dataframe thead th {n”, ” text-align: right;n”, ” }n”, “</style>n”, “<table border="1" class="dataframe">n”, ” <thead>n”, ” <tr style="text-align: right;">n”, ” <th></th>n”, ” <th>name</th>n”, ” <th>continent</th>n”, ” <th>population</th>n”, ” </tr>n”, ” </thead>n”, ” <tbody>n”, ” <tr>n”, ” <th>0</th>n”, ” <td>Andorra</td>n”, ” <td>EU</td>n”, ” <td>84000</td>n”, ” </tr>n”, ” <tr>n”, ” <th>1</th>n”, ” <td>United Arab Emirates</td>n”, ” <td>AS</td>n”, ” <td>4975593</td>n”, ” </tr>n”, ” <tr>n”, ” <th>2</th>n”, ” <td>Afghanistan</td>n”, ” <td>AS</td>n”, ” <td>29121286</td>n”, ” </tr>n”, ” </tbody>n”, “</table>n”, “</div>”

], “text/plain”: [

” name continent populationn”, “0 Andorra EU 84000n”, “1 United Arab Emirates AS 4975593n”, “2 Afghanistan AS 29121286”

]

}, “execution_count”: 5, “metadata”: {}, “output_type”: “execute_result”

}

], “source”: [

“countries_expression.execute()”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“We can build other types of expressions, for example, one that instead of returning a table,n”, “returns a columns.”

]

}, {

“cell_type”: “code”, “execution_count”: 6, “metadata”: {}, “outputs”: [

{
“data”: {

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n”, “text/plain”: [

“ref_0n”, “SQLiteTable[table]n”, ” name: countriesn”, ” schema:n”, ” iso_alpha2 : stringn”, ” iso_alpha3 : stringn”, ” iso_numeric : int32n”, ” fips : stringn”, ” name : stringn”, ” capital : stringn”, ” area_km2 : float64n”, ” population : int32n”, ” continent : stringn”, “n”, “population_in_millions = Divide[float64*]n”, ” left:n”, ” population = Column[int32*] ‘population’ from tablen”, ” ref_0n”, ” right:n”, ” Literal[int32]n”, ” 1000000”

]

}, “execution_count”: 6, “metadata”: {}, “output_type”: “execute_result”

}

], “source”: [

“population_in_millions = (countries[‘population’] / 1_000_000).name(‘population_in_millions’)n”, “population_in_millions”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“If we check its type, we can see how it is a FloatingColumn expression.”

]

}, {

“cell_type”: “code”, “execution_count”: 7, “metadata”: {}, “outputs”: [

{
“data”: {
“text/plain”: [

“ibis.expr.types.FloatingColumn”

]

}, “execution_count”: 7, “metadata”: {}, “output_type”: “execute_result”

}

], “source”: [

“type(population_in_millions)”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“We can combine the previous expression to be a column of a table expression.”

]

}, {

“cell_type”: “code”, “execution_count”: 8, “metadata”: {}, “outputs”: [

{
“data”: {

“image/png”: 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n”, “text/plain”: [

“ref_0n”, “SQLiteTable[table]n”, ” name: countriesn”, ” schema:n”, ” iso_alpha2 : stringn”, ” iso_alpha3 : stringn”, ” iso_numeric : int32n”, ” fips : stringn”, ” name : stringn”, ” capital : stringn”, ” area_km2 : float64n”, ” population : int32n”, ” continent : stringn”, “n”, “ref_1n”, “Selection[table]n”, ” table:n”, ” Table: ref_0n”, ” selections:n”, ” name = Column[string*] ‘name’ from tablen”, ” ref_0n”, ” continent = Column[string*] ‘continent’ from tablen”, ” ref_0n”, ” population_in_millions = Divide[float64*]n”, ” left:n”, ” population = Column[int32*] ‘population’ from tablen”, ” ref_0n”, ” right:n”, ” Literal[int32]n”, ” 1000000n”, “n”, “Limit[table]n”, ” table:n”, ” Table: ref_1n”, ” n:n”, ” 3n”, ” offset:n”, ” 0”

]

}, “execution_count”: 8, “metadata”: {}, “output_type”: “execute_result”

}

], “source”: [

“countries[‘name’, ‘continent’, population_in_millions].limit(3)”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“Since we are in lazy mode (not interactive), those expressions don’t request any data from the databasen”, “unless explicitly requested with .execute().n”, “n”, “## Logging queriesn”, “n”, “For SQL backends (and for others when it makes sense), the query sent to the database can be logged.n”, “This can be done by setting the verbose option to True.”

]

}, {

“cell_type”: “code”, “execution_count”: 9, “metadata”: {}, “outputs”: [

{

“name”: “stdout”, “output_type”: “stream”, “text”: [

“SELECT t0.name, t0.continent, t0.population / CAST(? AS REAL) AS population_in_millions n”, “FROM base.countries AS t0n”, ” LIMIT ? OFFSET ?n”

]

}, {

“data”: {
“text/html”: [

“<div>n”, “<style scoped>n”, ” .dataframe tbody tr th:only-of-type {n”, ” vertical-align: middle;n”, ” }n”, “n”, ” .dataframe tbody tr th {n”, ” vertical-align: top;n”, ” }n”, “n”, ” .dataframe thead th {n”, ” text-align: right;n”, ” }n”, “</style>n”, “<table border="1" class="dataframe">n”, ” <thead>n”, ” <tr style="text-align: right;">n”, ” <th></th>n”, ” <th>name</th>n”, ” <th>continent</th>n”, ” <th>population_in_millions</th>n”, ” </tr>n”, ” </thead>n”, ” <tbody>n”, ” <tr>n”, ” <th>0</th>n”, ” <td>Andorra</td>n”, ” <td>EU</td>n”, ” <td>0.084000</td>n”, ” </tr>n”, ” <tr>n”, ” <th>1</th>n”, ” <td>United Arab Emirates</td>n”, ” <td>AS</td>n”, ” <td>4.975593</td>n”, ” </tr>n”, ” <tr>n”, ” <th>2</th>n”, ” <td>Afghanistan</td>n”, ” <td>AS</td>n”, ” <td>29.121286</td>n”, ” </tr>n”, ” </tbody>n”, “</table>n”, “</div>”

], “text/plain”: [

” name continent population_in_millionsn”, “0 Andorra EU 0.084000n”, “1 United Arab Emirates AS 4.975593n”, “2 Afghanistan AS 29.121286”

]

}, “execution_count”: 9, “metadata”: {}, “output_type”: “execute_result”

}

], “source”: [

“ibis.options.verbose = Truen”, “n”, “countries[‘name’, ‘continent’, population_in_millions].limit(3).execute()”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“By default, the logging is done to the terminal, but we can process the query with a custom function.n”, “This allows us to save executed queries to a file, save to a database, send them to a web service, etc.n”, “n”, “For example, to save queries to a file, we can write a custom function that given a query, saves it to an”, “log file.”

]

}, {

“cell_type”: “code”, “execution_count”: 10, “metadata”: {}, “outputs”: [], “source”: [

“import osn”, “import datetimen”, “n”, “def log_query_to_file(query):n”, ” """n”, ” Log queries to data/tutorial_queries.log.n”, ” n”, ” Each file is a query. Line breaks in the query are represented with the string ‘\n’.n”, ” n”, ” A timestamp of when the query is executed is added.n”, ” """n”, ” fname = os.path.join(‘data’, ‘tutorial_queries.log’)n”, ” query_in_a_single_line = query.replace(‘\n’, r’\n’)n”, ” with open(fname, ‘a’) as f:n”, ” f.write(f’{datetime.datetime.now()} - {query_in_a_single_line}\n’)”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“Then we can set the verbose_log option to the custom function, execute one query,n”, “wait one second, and execute another query.”

]

}, {

“cell_type”: “code”, “execution_count”: 11, “metadata”: {}, “outputs”: [

{
“data”: {
“text/html”: [

“<div>n”, “<style scoped>n”, ” .dataframe tbody tr th:only-of-type {n”, ” vertical-align: middle;n”, ” }n”, “n”, ” .dataframe tbody tr th {n”, ” vertical-align: top;n”, ” }n”, “n”, ” .dataframe thead th {n”, ” text-align: right;n”, ” }n”, “</style>n”, “<table border="1" class="dataframe">n”, ” <thead>n”, ” <tr style="text-align: right;">n”, ” <th></th>n”, ” <th>name</th>n”, ” <th>continent</th>n”, ” <th>population_in_millions</th>n”, ” </tr>n”, ” </thead>n”, ” <tbody>n”, ” <tr>n”, ” <th>0</th>n”, ” <td>Andorra</td>n”, ” <td>EU</td>n”, ” <td>0.084000</td>n”, ” </tr>n”, ” <tr>n”, ” <th>1</th>n”, ” <td>United Arab Emirates</td>n”, ” <td>AS</td>n”, ” <td>4.975593</td>n”, ” </tr>n”, ” <tr>n”, ” <th>2</th>n”, ” <td>Afghanistan</td>n”, ” <td>AS</td>n”, ” <td>29.121286</td>n”, ” </tr>n”, ” </tbody>n”, “</table>n”, “</div>”

], “text/plain”: [

” name continent population_in_millionsn”, “0 Andorra EU 0.084000n”, “1 United Arab Emirates AS 4.975593n”, “2 Afghanistan AS 29.121286”

]

}, “execution_count”: 11, “metadata”: {}, “output_type”: “execute_result”

}

], “source”: [

“import timen”, “n”, “ibis.options.verbose_log = log_query_to_filen”, “n”, “countries.execute()n”, “time.sleep(1.)n”, “countries[‘name’, ‘continent’, population_in_millions].limit(3).execute()”

]

}, {

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“This has created a log file in data/tutorial_queries.log where the executed queries have been logged.”

]

}, {

“cell_type”: “code”, “execution_count”: 12, “metadata”: {}, “outputs”: [

{

“name”: “stdout”, “output_type”: “stream”, “text”: [

“2020-07-02 17:51:02.760861 - SELECT t0.iso_alpha2, t0.iso_alpha3, t0.iso_numeric, t0.fips, t0.name, t0.capital, t0.area_km2, t0.population, t0.continent \nFROM base.countries AS t0\n LIMIT ? OFFSET ?n”, “2020-07-02 17:51:03.779023 - SELECT t0.name, t0.continent, t0.population / CAST(? AS REAL) AS population_in_millions \nFROM base.countries AS t0\n LIMIT ? OFFSET ?n”

]

}

], “source”: [

“!cat data/tutorial_queries.log”

]

}

], “metadata”: {

“kernelspec”: {

“display_name”: “Python 3”, “language”: “python”, “name”: “python3”

}, “language_info”: {

“codemirror_mode”: {

“name”: “ipython”, “version”: 3

}, “file_extension”: “.py”, “mimetype”: “text/x-python”, “name”: “python”, “nbconvert_exporter”: “python”, “pygments_lexer”: “ipython3”, “version”: “3.7.6”

}

}, “nbformat”: 4, “nbformat_minor”: 4

}