Any way to bold grand total line in a report

Any way to bold grand total line in a report - mysql

I am using a bash script to generate a report for higher management and sending it through mail with the help of cronjob but my problem is that we need Grand_Total line in bold format.
I am getting results by below multiple queries:
mysql -H -u$DBUSER -p$DBPASS test -e "SELECT IFNULL(cust_name,'Grand_Total') AS cust_name,SUM(order_amt) AS amt FROM mytable1 GROUP BY cust_name WITH ROLLUP;" > REPORT_FILE.txt
mysql -H -u$DBUSER -p$DBPASS test -e "SELECT IFNULL(cust_name,'Grand_Total') AS cust_name,SUM(order_amt) AS amt FROM mytable2 GROUP BY cust_name WITH ROLLUP;" >> REPORT_FILE.txt
mysql -H -u$DBUSER -p$DBPASS test -e "SELECT IFNULL(cust_name,'Grand_Total') AS cust_name,SUM(order_amt) AS amt FROM mytable3 GROUP BY cust_name WITH ROLLUP;" >> REPORT_FILE.txt
It will generate output in html format in REPORT_FILE.txt file.
I want to Bold my "Grand_Total" line either through mysql query (if there is any way, as per me there is no way in mysql) or after exporting data in txt file with the help of any linux command.

You need to read the file in some other scripting language such as Python, Perl etc and you can parse the file and change the required columns as per required.
You may even use sed or awk to edit the sepcific columns you want to.

Finally I got the solution by below perl script, so first my script will generate report in mytext.txt file then this perl script will search "TD" word in each line but between <TD>Grand Total</TD> to end of line and after replacing it with "TH" print it to myoutput.txt file along with the lines those don't have these keyword. So finally my Grand Total line will be displayed as Bold in report.
#!/usr/local/bin/perl
use strict;
use warnings;
open (INPUTFILE, "mytext.txt") or die ("Unable to find the file");
open (OUTFILE, ">myoutput.txt") or die ("Unable to find the file");
my #lines = <INPUTFILE>;
foreach my $str (#lines) {
if (my ($matches) = $str =~ /(<TD>Grand Total<\/TD>(<TD>-?[0-9.]+<\/TD>)*)/) {
my $orig = $matches;
$matches =~ tr/TD/TH/ ;
$str =~ s/$orig/$matches/;
print OUTFILE $str;
}else{
print OUTFILE $str;
}
}
mytext.txt conent is below-
<br><br>Shoes Bulk Inventory Report <br><br>
<TABLE BORDER=1><TR><TH>Shoes</TH><TH>size 6</TH><TH>size 7</TH><TH>size 8</TH><TH>size 9</TH><TH>size 10</TH><TH>size 11</TH><TH>LastDay_Total</TH><TH>Today_Total</TH><TH>Quantity Change</TH><TH>% Change</TH></TR><TR><TD>Marco ferro Boot - Black - 198747</TD><TD>0</TD><TD>40</TD><TD>143</TD><TD>301</TD><TD>23</TD><TD>0</TD><TD>556</TD><TD>507</TD><TD>-49</TD><TD>-8.81</TD></TR><TR><TD>Lotto Marathon Shoes White Navy - 196553</TD><TD>2</TD><TD>410</TD><TD>105</TD><TD>26</TD><TD>152</TD><TD>0</TD><TD>705</TD><TD>695</TD><TD>-10</TD><TD>-1.42</TD></TR><TR><TD>LOTTO MAGIC SHOES - Blue - 196552</TD><TD>51</TD><TD>224</TD><TD>644</TD><TD>1925</TD><TD>698</TD><TD>0</TD><TD>3672</TD><TD>3542</TD><TD>-130</TD><TD>-3.54</TD></TR><TR><TD>Lancer LCR Footwear JJ Air White Navy - 221068</TD><TD>211</TD><TD>383</TD><TD>206</TD><TD>400</TD><TD>141</TD><TD>0</TD><TD>7</TD><TD>1341</TD><TD>1334</TD><TD>19057.14</TD></TR><TR><TD>Columbus Shoes - Green - 202033</TD><TD>65</TD><TD>190</TD><TD>134</TD><TD>128</TD><TD>532</TD><TD>640</TD><TD>2068</TD><TD>1689</TD><TD>-379</TD><TD>-18.33</TD></TR><TR><TD>Columbus Race2 White Blue Sports Shoe - 217145</TD><TD>94</TD><TD>87</TD><TD>32</TD><TD>80</TD><TD>108</TD><TD>132</TD><TD>0</TD><TD>533</TD><TD>533</TD><TD>100.00</TD></TR><TR><TD>Columbus Footwear Tab105 White Royal Blue - 215963</TD><TD>1</TD><TD>4</TD><TD>0</TD><TD>1</TD><TD>0</TD><TD>10</TD><TD>27</TD><TD>16</TD><TD>-11</TD><TD>-40.74</TD></TR><TR><TD>Stylish Biker Shoe - 198909</TD><TD>3</TD><TD>89</TD><TD>53</TD><TD>20</TD><TD>105</TD><TD>0</TD><TD>272</TD><TD>270</TD><TD>-2</TD><TD>-0.74</TD></TR><TR><TD>Rocio Sports shoe Blue White - 198456</TD><TD>10</TD><TD>2</TD><TD>164</TD><TD>203</TD><TD>107</TD><TD>0</TD><TD>487</TD><TD>486</TD><TD>-1</TD><TD>-0.21</TD></TR><TR><TD>Rocio Sports Shoe White Blue - 198457</TD><TD>0</TD><TD>0</TD><TD>9</TD><TD>66</TD><TD>9</TD><TD>0</TD><TD>108</TD><TD>84</TD><TD>-24</TD><TD>-22.22</TD></TR><TR><TD>Rocio Formal Shoes - 38087</TD><TD>67</TD><TD>183</TD><TD>206</TD><TD>98</TD><TD>54</TD><TD>0</TD><TD>656</TD><TD>608</TD><TD>-48</TD><TD>-7.32</TD></TR><TR><TD>MARCO FERRO TAN SHOES - 60894</TD><TD>334</TD><TD>6</TD><TD>6</TD><TD>164</TD><TD>268</TD><TD>0</TD><TD>784</TD><TD>778</TD><TD>-6</TD><TD>-0.77</TD></TR><TR><TD>Marco Ferro Olive Shoes - Olive - 195566</TD><TD>256</TD><TD>56</TD><TD>856</TD><TD>999</TD><TD>591</TD><TD>0</TD><TD>2814</TD><TD>2758</TD><TD>-56</TD><TD>-1.99</TD></TR><TR><TD>Marco ferro Boot - Tan - 197672</TD><TD>136</TD><TD>13</TD><TD>5</TD><TD>313</TD><TD>100</TD><TD>0</TD><TD>594</TD><TD>567</TD><TD>-27</TD><TD>-4.55</TD></TR><TR><TD>Columbus Shoes - 214619</TD><TD>7</TD><TD>90</TD><TD>82</TD><TD>30</TD><TD>87</TD><TD>0</TD><TD>283</TD><TD>296</TD><TD>13</TD><TD>4.59</TD></TR><TR><TD>Columbus Shoes - Blue - 202034</TD><TD>18</TD><TD>71</TD><TD>57</TD><TD>42</TD><TD>69</TD><TD>14</TD><TD>307</TD><TD>271</TD><TD>-36</TD><TD>-11.73</TD></TR><TR><TD>Columbus Shoes - Red - 202035</TD><TD>27</TD><TD>50</TD><TD>68</TD><TD>45</TD><TD>26</TD><TD>6</TD><TD>229</TD><TD>222</TD><TD>-7</TD><TD>-3.06</TD></TR><TR><TD>Columbus Shoes - Tab - White/Red/Black - 214618</TD><TD>33</TD><TD>145</TD><TD>86</TD><TD>73</TD><TD>88</TD><TD>0</TD><TD>420</TD><TD>425</TD><TD>5</TD><TD>1.19</TD></TR><TR><TD>Columbus Shoes - Tab White Blue - 214617</TD><TD>54</TD><TD>156</TD><TD>43</TD><TD>47</TD><TD>70</TD><TD>0</TD><TD>372</TD><TD>370</TD><TD>-2</TD><TD>-0.54</TD></TR><TR><TD>Lotto Magic Shoes - 129726</TD><TD>0</TD><TD>4</TD><TD>0</TD><TD>8</TD><TD>1</TD><TD>0</TD><TD>13</TD><TD>13</TD><TD>0</TD><TD>0.00</TD></TR><TR><TD>Grand Total</TD><TD>1369</TD><TD>2203</TD><TD>2899</TD><TD>4969</TD><TD>3229</TD><TD>802</TD><TD>14374</TD><TD>15471</TD><TD>1097</TD><TD>7.63</TD></TR></TABLE>
<br><br>Small Shoes Bulk Inventory Report <br><br>
<TABLE BORDER=1><TR><TH>Shoes</TH><TH>size 4</TH><TH>size 5</TH><TH>size 6</TH><TH>size 7</TH><TH>LastDay_Total</TH><TH>Today_Total</TH><TH>Quantity Change</TH><TH>% Change</TH></TR><TR><TD>Lotto Diva Women White Pink - 203979</TD><TD>581</TD><TD>1214</TD><TD>1067</TD><TD>475</TD><TD>3341</TD><TD>3337</TD><TD>-4</TD><TD>-0.12</TD></TR><TR><TD>Grand Total</TD><TD>581</TD><TD>1214</TD><TD>1067</TD><TD>475</TD><TD>3341</TD><TD>3337</TD><TD>-4</TD><TD>-0.12</TD></TR></TABLE>
<br><br>Apparel Bulk Inventory Report<br><br>
<TABLE BORDER=1><TR><TH>Apparel</TH><TH>Size - S</TH><TH>Size - M</TH><TH>Size - L</TH><TH>Size - XL</TH><TH>Size - XXL</TH><TH>LastDay_Total</TH><TH>Today_Total</TH><TH>Quantity Change</TH><TH>% Change</TH></TR><TR><TD>Lotto Tracksuit - 199346</TD><TD>895</TD><TD>2765</TD><TD>2763</TD><TD>1646</TD><TD>778</TD><TD>8849</TD><TD>8847</TD><TD>-2</TD><TD>-0.02</TD></TR><TR><TD>Rocio Black Bomber Jacket - 201734</TD><TD>0</TD><TD>77</TD><TD>268</TD><TD>216</TD><TD>0</TD><TD>562</TD><TD>561</TD><TD>-1</TD><TD>-0.18</TD></TR><TR><TD>Rocio Black Full Sleeve Jacket with Fur Lining - 202674</TD><TD>0</TD><TD>32</TD><TD>3</TD><TD>30</TD><TD>0</TD><TD>65</TD><TD>65</TD><TD>0</TD><TD>0.00</TD></TR><TR><TD>Rocio Blue Bomber Jacket - 201735</TD><TD>0</TD><TD>117</TD><TD>324</TD><TD>313</TD><TD>0</TD><TD>754</TD><TD>754</TD><TD>0</TD><TD>0.00</TD></TR><TR><TD>Rocio Mens Black Tracksuit with Blue Piping - 199529</TD><TD>426</TD><TD>1301</TD><TD>1300</TD><TD>683</TD><TD>350</TD><TD>4060</TD><TD>4060</TD><TD>0</TD><TD>0.00</TD></TR><TR><TD>Rocio Mens Black Tracksuit with Red Piping - 199530</TD><TD>458</TD><TD>1226</TD><TD>1330</TD><TD>739</TD><TD>332</TD><TD>4085</TD><TD>4085</TD><TD>0</TD><TD>0.00</TD></TR><TR><TD>Grand Total</TD><TD>1779</TD><TD>5518</TD><TD>5988</TD><TD>3627</TD><TD>1460</TD><TD>18375</TD><TD>18372</TD><TD>-3</TD><TD>-0.02</TD></TR></TABLE>
myoutput.txt content after replacing TD to TH:
<br><br>Shoes Bulk Inventory Report <br><br>
<TABLE BORDER=1><TR><TH>Shoes</TH><TH>size 6</TH><TH>size 7</TH><TH>size 8</TH><TH>size 9</TH><TH>size 10</TH><TH>size 11</TH><TH>LastDay_Total</TH><TH>Today_Total</TH><TH>Quantity Change</TH><TH>% Change</TH></TR><TR><TD>Marco ferro Boot - Black - 198747</TD><TD>0</TD><TD>40</TD><TD>143</TD><TD>301</TD><TD>23</TD><TD>0</TD><TD>556</TD><TD>507</TD><TD>-49</TD><TD>-8.81</TD></TR><TR><TD>Lotto Marathon Shoes White Navy - 196553</TD><TD>2</TD><TD>410</TD><TD>105</TD><TD>26</TD><TD>152</TD><TD>0</TD><TD>705</TD><TD>695</TD><TD>-10</TD><TD>-1.42</TD></TR><TR><TD>LOTTO MAGIC SHOES - Blue - 196552</TD><TD>51</TD><TD>224</TD><TD>644</TD><TD>1925</TD><TD>698</TD><TD>0</TD><TD>3672</TD><TD>3542</TD><TD>-130</TD><TD>-3.54</TD></TR><TR><TD>Lancer LCR Footwear JJ Air White Navy - 221068</TD><TD>211</TD><TD>383</TD><TD>206</TD><TD>400</TD><TD>141</TD><TD>0</TD><TD>7</TD><TD>1341</TD><TD>1334</TD><TD>19057.14</TD></TR><TR><TD>Columbus Shoes - Green - 202033</TD><TD>65</TD><TD>190</TD><TD>134</TD><TD>128</TD><TD>532</TD><TD>640</TD><TD>2068</TD><TD>1689</TD><TD>-379</TD><TD>-18.33</TD></TR><TR><TD>Columbus Race2 White Blue Sports Shoe - 217145</TD><TD>94</TD><TD>87</TD><TD>32</TD><TD>80</TD><TD>108</TD><TD>132</TD><TD>0</TD><TD>533</TD><TD>533</TD><TD>100.00</TD></TR><TR><TD>Columbus Footwear Tab105 White Royal Blue - 215963</TD><TD>1</TD><TD>4</TD><TD>0</TD><TD>1</TD><TD>0</TD><TD>10</TD><TD>27</TD><TD>16</TD><TD>-11</TD><TD>-40.74</TD></TR><TR><TD>Stylish Biker Shoe - 198909</TD><TD>3</TD><TD>89</TD><TD>53</TD><TD>20</TD><TD>105</TD><TD>0</TD><TD>272</TD><TD>270</TD><TD>-2</TD><TD>-0.74</TD></TR><TR><TD>Rocio Sports shoe Blue White - 198456</TD><TD>10</TD><TD>2</TD><TD>164</TD><TD>203</TD><TD>107</TD><TD>0</TD><TD>487</TD><TD>486</TD><TD>-1</TD><TD>-0.21</TD></TR><TR><TD>Rocio Sports Shoe White Blue - 198457</TD><TD>0</TD><TD>0</TD><TD>9</TD><TD>66</TD><TD>9</TD><TD>0</TD><TD>108</TD><TD>84</TD><TD>-24</TD><TD>-22.22</TD></TR><TR><TD>Rocio Formal Shoes - 38087</TD><TD>67</TD><TD>183</TD><TD>206</TD><TD>98</TD><TD>54</TD><TD>0</TD><TD>656</TD><TD>608</TD><TD>-48</TD><TD>-7.32</TD></TR><TR><TD>MARCO FERRO TAN SHOES - 60894</TD><TD>334</TD><TD>6</TD><TD>6</TD><TD>164</TD><TD>268</TD><TD>0</TD><TD>784</TD><TD>778</TD><TD>-6</TD><TD>-0.77</TD></TR><TR><TD>Marco Ferro Olive Shoes - Olive - 195566</TD><TD>256</TD><TD>56</TD><TD>856</TD><TD>999</TD><TD>591</TD><TD>0</TD><TD>2814</TD><TD>2758</TD><TD>-56</TD><TD>-1.99</TD></TR><TR><TD>Marco ferro Boot - Tan - 197672</TD><TD>136</TD><TD>13</TD><TD>5</TD><TD>313</TD><TD>100</TD><TD>0</TD><TD>594</TD><TD>567</TD><TD>-27</TD><TD>-4.55</TD></TR><TR><TD>Columbus Shoes - 214619</TD><TD>7</TD><TD>90</TD><TD>82</TD><TD>30</TD><TD>87</TD><TD>0</TD><TD>283</TD><TD>296</TD><TD>13</TD><TD>4.59</TD></TR><TR><TD>Columbus Shoes - Blue - 202034</TD><TD>18</TD><TD>71</TD><TD>57</TD><TD>42</TD><TD>69</TD><TD>14</TD><TD>307</TD><TD>271</TD><TD>-36</TD><TD>-11.73</TD></TR><TR><TD>Columbus Shoes - Red - 202035</TD><TD>27</TD><TD>50</TD><TD>68</TD><TD>45</TD><TD>26</TD><TD>6</TD><TD>229</TD><TD>222</TD><TD>-7</TD><TD>-3.06</TD></TR><TR><TD>Columbus Shoes - Tab - White/Red/Black - 214618</TD><TD>33</TD><TD>145</TD><TD>86</TD><TD>73</TD><TD>88</TD><TD>0</TD><TD>420</TD><TD>425</TD><TD>5</TD><TD>1.19</TD></TR><TR><TD>Columbus Shoes - Tab White Blue - 214617</TD><TD>54</TD><TD>156</TD><TD>43</TD><TD>47</TD><TD>70</TD><TD>0</TD><TD>372</TD><TD>370</TD><TD>-2</TD><TD>-0.54</TD></TR><TR><TD>Lotto Magic Shoes - 129726</TD><TD>0</TD><TD>4</TD><TD>0</TD><TD>8</TD><TD>1</TD><TD>0</TD><TD>13</TD><TD>13</TD><TD>0</TD><TD>0.00</TD></TR><TR><TH>Grand Total</TH><TH>1369</TH><TH>2203</TH><TH>2899</TH><TH>4969</TH><TH>3229</TH><TH>802</TH><TH>14374</TH><TH>15471</TH><TH>1097</TH><TH>7.63</TH></TR></TABLE>
<br><br>Small Shoes Bulk Inventory Report <br><br>
<TABLE BORDER=1><TR><TH>Shoes</TH><TH>size 4</TH><TH>size 5</TH><TH>size 6</TH><TH>size 7</TH><TH>LastDay_Total</TH><TH>Today_Total</TH><TH>Quantity Change</TH><TH>% Change</TH></TR><TR><TD>Lotto Diva Women White Pink - 203979</TD><TD>581</TD><TD>1214</TD><TD>1067</TD><TD>475</TD><TD>3341</TD><TD>3337</TD><TD>-4</TD><TD>-0.12</TD></TR><TR><TH>Grand Total</TH><TH>581</TH><TH>1214</TH><TH>1067</TH><TH>475</TH><TH>3341</TH><TH>3337</TH><TH>-4</TH><TH>-0.12</TH></TR></TABLE>
<br><br>Apparel Bulk Inventory Report<br><br>
<TABLE BORDER=1><TR><TH>Apparel</TH><TH>Size - S</TH><TH>Size - M</TH><TH>Size - L</TH><TH>Size - XL</TH><TH>Size - XXL</TH><TH>LastDay_Total</TH><TH>Today_Total</TH><TH>Quantity Change</TH><TH>% Change</TH></TR><TR><TD>Lotto Tracksuit - 199346</TD><TD>895</TD><TD>2765</TD><TD>2763</TD><TD>1646</TD><TD>778</TD><TD>8849</TD><TD>8847</TD><TD>-2</TD><TD>-0.02</TD></TR><TR><TD>Rocio Black Bomber Jacket - 201734</TD><TD>0</TD><TD>77</TD><TD>268</TD><TD>216</TD><TD>0</TD><TD>562</TD><TD>561</TD><TD>-1</TD><TD>-0.18</TD></TR><TR><TD>Rocio Black Full Sleeve Jacket with Fur Lining - 202674</TD><TD>0</TD><TD>32</TD><TD>3</TD><TD>30</TD><TD>0</TD><TD>65</TD><TD>65</TD><TD>0</TD><TD>0.00</TD></TR><TR><TD>Rocio Blue Bomber Jacket - 201735</TD><TD>0</TD><TD>117</TD><TD>324</TD><TD>313</TD><TD>0</TD><TD>754</TD><TD>754</TD><TD>0</TD><TD>0.00</TD></TR><TR><TD>Rocio Mens Black Tracksuit with Blue Piping - 199529</TD><TD>426</TD><TD>1301</TD><TD>1300</TD><TD>683</TD><TD>350</TD><TD>4060</TD><TD>4060</TD><TD>0</TD><TD>0.00</TD></TR><TR><TD>Rocio Mens Black Tracksuit with Red Piping - 199530</TD><TD>458</TD><TD>1226</TD><TD>1330</TD><TD>739</TD><TD>332</TD><TD>4085</TD><TD>4085</TD><TD>0</TD><TD>0.00</TD></TR><TR><TH>Grand Total</TH><TH>1779</TH><TH>5518</TH><TH>5988</TH><TH>3627</TH><TH>1460</TH><TH>18375</TH><TH>18372</TH><TH>-3</TH><TH>-0.02</TH></TR></TABLE>

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Error on heroku when trying to npm run migrate to deploy my app

I'm trying to deploy my app on Heroku and I'm getting a type error when I npm run migrate on heroku run bash.
The error on the terminal is saying that it's a SQL typo error but I cannot see what is the error. I've tried to change the quotes, but it's not working either. Any help will be welcome.
error:
require("dotenv").config();
const mysql = require("mysql");
const DB_HOST = process.env.DB_HOST;
const DB_USER = process.env.DB_USER;
const DB_PASS = process.env.DB_PASS;
const DB_NAME = process.env.DB_NAME;
const con = mysql.createConnection({
host: DB_HOST || "127.0.0.1",
user: DB_USER || "root",
password: DB_PASS || "root",
database: DB_NAME || "5aday",
multipleStatements: true
});
con.connect(function(err) {
if (err) throw err;
console.log("Connected!");
let sql = `DROP TABLE if exists seasons; CREATE TABLE into seasons (id INT NOT NULL AUTO_INCREMENT, image VARCHAR(255) NOT NULL, title VARCHAR(255) NOT NULL, description VARCHAR(1000) NOT NULL, list VARCHAR(1000)NOT NULL, PRIMARY KEY (id));`;
`INSERT INTO seasons (image, title,https description, list) VALUES ('https://www.juiceplus.com/content/juiceplusblog/en/2019/3/the-ultimate-fruit-and-vegetable-season-calendar/_jcr_content/par/image.img.jpg/1553178913562.jpg', 'FRUITS AND VEGETABLES AVAILABLE IN WINTER', 'Fruits and vegetables available in the winter months consist of lots of fruits you’d typically associate with Christmas (clementines, cranberries), but also lots of earthy vegetables like turnips, parsnips and leeks. There are some lovely winter warming recipes you can cook with these!', 'Apple
Pears
Clementines
Cranberries
Dates
Beetroot
Brussels sprouts
Celeriac
Celery
Kale
Leek
Parsnip
Turnip
Sweet potato
Grapefruit
Lemon
Orange
Rhubarb
Kiwi
Passion Fruit
Pomegranate
Beetroot
Brussels sprouts
Celeriac
Celery
Kale
Leek
Parsnip
Turnip
Sweet potato
Cauliflower
Chicory
Jerusalem artichoke');`
`INSERT INTO seasons (image, title, description, list) VALUES ('https://www.juiceplus.com/content/juiceplusblog/en/2019/3/the-ultimate-fruit-and-vegetable-season-calendar/_jcr_content/par/image_1056369294.img.jpg/1553178984905.jpg', 'FRUITS AND VEGETABLES AVAILABLE IN SPRING', 'Coming into to spring and lots of fresh spring greens come into season, like watercress, spinach and lettuce. New potatoes also come in the spring, which make for a delicious buttery dish or potato salad with watercress.', 'Grapefruit
Lemon
Orange
Rhubarb
Passion Fruit
Pomegranate
Apricot
Nectarine
Brussels sprouts
Cauliflower
Chicory
Jerusalem artichoke
Spinach
Watercress
Purple sprouting broccoli
New potatoes
Potatoes
Carrot
Lambs lettuce
Lettuce');`
`INSERT INTO seasons (image, title, description, list) VALUES ('https://www.juiceplus.com/content/juiceplusblog/en/2019/3/the-ultimate-fruit-and-vegetable-season-calendar/_jcr_content/par/image_1788290349.img.jpg/1553179052619.jpg', 'FRUITS AND VEGETABLES AVAILABLE IN SUMMER', 'As summer comes around, you are certainly not limited in options when it comes to seasonal fruit and vegetables. This is prime time for strawberries, nectarines and apricots – as well as asparagus, peas and runner beans.', 'Apricot
Blackcurrants
Gooseberry
Nectarine
Rhubarb
Strawberry
Tomato
Cherries
Raspberry
Redcurrant
Watermelon
Elderberries
Figs
Peach
Asparagus
Aubergine
Carrot
Courgettes
Lambs lettuce
Lettuce
New potatoes
Peas
Potatoes
Runner beans
Beetroot
Cavolo Nero
Fennel
Celery');`
`INSERT INTO seasons (image, title, description, list) VALUES ('https://www.juiceplus.com/content/juiceplusblog/en/2019/3/the-ultimate-fruit-and-vegetable-season-calendar/_jcr_content/par/image_1229398484.img.jpg/1553179114378.jpg', 'FRUITS AND VEGETABLES AVAILABLE IN AUTUMN', 'As we turn into autumn, the choice is still plentiful as many vegetables are still giving following the summer months. Sweetcorn is exclusively at it’s best in September and apple and pears come back into full season.', 'Apple
Blackberry
Elderberries
Figs
Gooseberry
Nectarine
Peach
Redcurrant
Plum
Raspberry
Strawberry
Tomato
Pear
Plum
Aubergine
Beetroot
Cavolo Nero
Celeriac
Celery
Courgettes
Fennel
Artichoke
Lambs lettuce
Leek
Peas
Lettuce
Runner beans
Sweetcorn
Brussels sprouts
Kale
Parsnip
Pumpkin
Sweet potato ');`
con.query(sql, function (err, result) {
if (err) throw err;
console.log("Table creation `seasons` was successful!");
console.log("Closing...");
});
con.end();
});

You dont assigne your sql statement to any variable. The first statement is assigned to the sql variable but not the following. Your are terminating the statement after the first create table.

There is an "INTO" too much in the first CREATE TABLE ("CREATE TABLE into seasons") statement if i am seeing this right.

MySQL REPLACE function not work when the text gets long

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Text in the field:
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REPLACE(
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)
WHERE ID = 1;
and no row affected, but when I lessen the text let say I do for <!-- wp:blocks/amazon-product {"url":"https://www.amazon.com/OutdoorMaster-OTG-Ski-Goggles-Protection/dp/B01HLV5HR6" only, then the text gets replaced.

As You can see
Set #a = 'a<!-- wp:blocks/amazon-product {"url":"https://www.amazon.com/OutdoorMaster-OTG-Ski-Goggles-Protection/dp/B01HLV5HR6","category":"1","headline":"OutdoorMaster OTG Ski Goggles - Over Glasses Ski/Snowboard Goggles for Men, Women \u0026 Youth - 100% UV Protection (Black Frame + VLT 10% Grey Lens with REVO Silver)","price":"$17.99","review":"",","checkPrice":"Buy Now on Amazon","isUrlPresent":true,"cacheDate":"2020-04-05T07:27:27.875Z"} /-->"a'
✓
SELECT REPLACE (#a,'<!-- wp:blocks/amazon-product {"url":"https://www.amazon.com/OutdoorMaster-OTG-Ski-Goggles-Protection/dp/B01HLV5HR6","category":"1","headline":"OutdoorMaster OTG Ski Goggles - Over Glasses Ski/Snowboard Goggles for Men, Women \u0026 Youth - 100% UV Protection (Black Frame + VLT 10% Grey Lens with REVO Silver)","price":"$17.99","review":"",","checkPrice":"Buy Now on Amazon","isUrlPresent":true,"cacheDate":"2020-04-05T07:27:27.875Z"} /-->','test')
| REPLACE (#a,'<!-- wp:blocks/amazon-product {"url":"https://www.amazon.com/OutdoorMaster-OTG-Ski-Goggles-Protection/dp/B01HLV5HR6","category":"1","headline":"OutdoorMaster OTG Ski Goggles - Over Glasses Ski/Snowboard Goggles for Men, Women \u0026 Youth - 1 |
| :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| atest"a |
db<>fiddle here
The problem is not the size of your text.
You must try first
SELECT post_content FROM wp_posts WHERE post_content LIKE '%your text%';
Ans see if it has any result.

Remove duplicate word sentence

I have a list of sentences.
I want to deal with duplicates like this:
White shoes women
Shoes women white
Women white shoes
I want to make into this:
White shoes women
Can I do this in Notepad++?
Or maybe some other software?

I don't think you can do such job in Npp.
Here is a way to do the job with perl that keeps the case and order of first line.
(Thanks to #jwpfox for input example).
use Modern::Perl;
my $prev = '';
while(<DATA>) {
chomp;
my $str = join'',sort split' ',lc$_;
say $_ if $str ne $prev;
$prev = $str;
}
__DATA__
White shoes women
Shoes women white
Women white shoes
White shoes women
Shoes women white
Women white shoes
Men black boots
Black boots men
Boots men black
girl yellow shirt
yellow girl shirt
pants blue boy
Output:
White shoes women
Men black boots
girl yellow shirt
pants blue boy
A version in PHP:
$s = array(
'White shoes women',
'Shoes women white',
'Women white shoes',
'White shoes women',
'Shoes women white',
'Women white shoes',
'Men black boots',
'Black boots men',
'Boots men black',
'girl yellow shirt',
'yellow girl shirt',
'pants blue boy');
$prev = '';
foreach($s as $line) {
$list = explode(' ', strtolower($line));
sort($list);
$str = implode('',$list);
if ($str != $prev) echo $line,"\n";
$prev = $str;
}
Output:
White shoes women
Men black boots
girl yellow shirt
pants blue boy

Using the "some other software" option.
Contents of input.txt file:
White shoes women
Shoes women white
Women white shoes
Men black boots
Black boots men
Boots men black
girl yellow shirt
yellow girl shirt
pants blue boy
Python 3:
sentences = []
with open('input.txt', mode='r') as infile:
for line in infile:
wordlist = line.split(' ')
words = []
for word in wordlist:
word = word.strip()
words.append(word.lower())
words.sort()
if words not in sentences:
sentences.append(words)
with open('output.txt', mode='w') as outfile:
for sentence in sentences:
for word in sentence:
outfile.write(word + ' ')
outfile.write('\n')
Contents of output.txt file:
shoes white women
black boots men
girl shirt yellow
blue boy pants

Text manipulation with sed

I need a little help, in our class we've been playing around with GREP and SED commands in an attempt to learn how they work. More specifically we've been using sed commands to manipulate text and add tags.
So, we we're given an assignment, we've been given 500 lines of CSV fake data and it is our job to create a sed command that will automatically tag the data and tag any new data added down the road (theoretically).
Here's a few lines of our fake UN-TAGGED data, this is by default how we received it, as you can see all the data starts with a first name and ends with a web email:
FirstName,LastName,Company,Address,City,County,State,ZIP,Phone,Fax,Email,Web
"Essie","Vaill","Litronic Industries","14225 Hancock Dr","Anchorage","Anchorage","AK","99515","907-345-0962","907-345-1215","essie#vaill.com","http://www.essievaill.com"
"Cruz","Roudabush","Meridian Products","2202 S Central Ave","Phoenix","Maricopa","AZ","85004","602-252-4827","602-252-4009","cruz#roudabush.com","http://www.cruzroudabush.com"
"Billie","Tinnes","D & M Plywood Inc","28 W 27th St","New York","New York","NY","10001","212-889-5775","212-889-5764","billie#tinnes.com","http://www.billietinnes.com"
"Zackary","Mockus","Metropolitan Elevator Co","286 State St","Perth Amboy","Middlesex","NJ","08861","732-442-0638","732-442-5218","zackary#mockus.com","http://www.zackarymockus.com"
"Rosemarie","Fifield","Technology Services","3131 N Nimitz Hwy #-105","Honolulu","Honolulu","HI","96819","808-836-8966","808-836-6008","rosemarie#fifield.com","http://www.rosemariefifield.com"
"Bernard","Laboy","Century 21 Keewaydin Prop","22661 S Frontage Rd","Channahon","Will","IL","60410","815-467-0487","815-467-1244","bernard#laboy.com","http://www.bernardlaboy.com"
"Sue","Haakinson","Kim Peacock Beringhause","9617 N Metro Pky W","Phoenix","Maricopa","AZ","85051","602-953-2753","602-953-0355","sue#haakinson.com","http://www.suehaakinson.com"
"Valerie","Pou","Sea Port Record One Stop Inc","7475 Hamilton Blvd","Trexlertown","Lehigh","PA","18087","610-395-8743","610-395-6995","valerie#pou.com","http://www.valeriepou.com"
"Lashawn","Hasty","Kpff Consulting Engineers","815 S Glendora Ave","West Covina","Los Angeles","CA","91790","626-960-6738","626-960-1503","lashawn#hasty.com","http://www.lashawnhasty.com"
"Marianne","Earman","Albers Technologies Corp","6220 S Orange Blossom Trl","Orlando","Orange","FL","32809","407-857-0431","407-857-2506","marianne#earman.com","http://www.marianneearman.com"
"Justina","Dragaj","Uchner, David D Esq","2552 Poplar Ave","Memphis","Shelby","TN","38112","901-327-5336","901-327-2911","justina#dragaj.com","http://www.justinadragaj.com"
"Mandy","Mcdonnell","Southern Vermont Surveys","343 Bush St Se","Salem","Marion","OR","97302","503-371-8219","503-371-1118","mandy#mcdonnell.com","http://www.mandymcdonnell.com"
"Conrad","Lanfear","Kahler, Karen T Esq","49 Roche Way","Youngstown","Mahoning","OH","44512","330-758-0314","330-758-3536","conrad#lanfear.com","http://www.conradlanfear.com"
"Cyril","Behen","National Paper & Envelope Corp","1650 S Harbor Blvd","Anaheim","Orange","CA","92802","714-772-5050","714-772-3859","cyril#behen.com","http://www.cyrilbehen.com"
"Shelley","Groden","Norton, Robert L Esq","110 Broadway St","San Antonio","Bexar","TX","78205","210-229-3017","210-229-9757","shelley#groden.com","http://www.shelleygroden.com"
Our teacher wanted us to create sed commands that would automatically indent the data, add TR to the front and back of the data and add TD tags to each new field.
<HTML>
<HEAD><Title>Lab 4b by Andrey</Title></HEAD>
<BODY>
<table border="1">
<TR><TD>FirstName</TD><TD>LastName</TD><TD>Company</TD><TD>Address</TD><TD>City</TD><TD>County</TD><TD>State</TD><TD>ZIP</TD><TD>Phone</TD><TD>Fax</TD><TD>Email</TD><TD>Web</TD></TR>
<TR><TD>Essie</TD><TD>Vaill</TD><TD>Litronic Industries</TD><TD>14225 Hancock Dr</TD><TD>Anchorage</TD><TD>Anchorage</TD><TD>AK</TD><TD>99515</TD><TD>907-345-0962</TD><TD>907-345-1215</TD><TD>essie#vaill.com</TD><TD>http://www.essievaill.com</TD><TR>
<TR><TD>Cruz</TD><TD>Roudabush</TD><TD>Meridian Products</TD><TD>2202 S Central Ave</TD><TD>Phoenix</TD><TD>Maricopa</TD><TD>AZ</TD><TD>85004</TD><TD>602-252-4827</TD><TD>602-252-4009</TD><TD>cruz#roudabush.com</TD><TD>http://www.cruzroudabush.com</TD><TR>
<TR><TD>Billie</TD><TD>Tinnes</TD><TD>D & M Plywood Inc</TD><TD>28 W 27th St</TD><TD>New York</TD><TD>New York</TD><TD>NY</TD><TD>10001</TD><TD>212-889-5775</TD><TD>212-889-5764</TD><TD>billie#tinnes.com</TD><TD>http://www.billietinnes.com</TD><TR>
<TR><TD>Zackary</TD><TD>Mockus</TD><TD>Metropolitan Elevator Co</TD><TD>286 State St</TD><TD>Perth Amboy</TD><TD>Middlesex</TD><TD>NJ</TD><TD>08861</TD><TD>732-442-0638</TD><TD>732-442-5218</TD><TD>zackary#mockus.com</TD><TD>http://www.zackarymockus.com</TD><TR>
<TR><TD>Rosemarie</TD><TD>Fifield</TD><TD>Technology Services</TD><TD>3131 N Nimitz Hwy #-105</TD><TD>Honolulu</TD><TD>Honolulu</TD><TD>HI</TD><TD>96819</TD><TD>808-836-8966</TD><TD>808-836-6008</TD><TD>rosemarie#fifield.com</TD><TD>http://www.rosemariefifield.com<$
<TR><TD>Bernard</TD><TD>Laboy</TD><TD>Century 21 Keewaydin Prop</TD><TD>22661 S Frontage Rd</TD><TD>Channahon</TD><TD>Will</TD><TD>IL</TD><TD>60410</TD><TD>815-467-0487</TD><TD>815-467-1244</TD><TD>bernard#laboy.com</TD><TD>http://www.bernardlaboy.com</TD><TR>
<TR><TD>Sue</TD><TD>Haakinson</TD><TD>Kim Peacock Beringhause</TD><TD>9617 N Metro Pky W</TD><TD>Phoenix</TD><TD>Maricopa</TD><TD>AZ</TD><TD>85051</TD><TD>602-953-2753</TD><TD>602-953-0355</TD><TD>sue#haakinson.com</TD><TD>http://www.suehaakinson.com</TD><TR>
<TR><TD>Valerie</TD><TD>Pou</TD><TD>Sea Port Record One Stop Inc</TD><TD>7475 Hamilton Blvd</TD><TD>Trexlertown</TD><TD>Lehigh</TD><TD>PA</TD><TD>18087</TD><TD>610-395-8743</TD><TD>610-395-6995</TD><TD>valerie#pou.com</TD><TD>http://www.valeriepou.com</TD><TR>
<TR><TD>Lashawn</TD><TD>Hasty</TD><TD>Kpff Consulting Engineers</TD><TD>815 S Glendora Ave</TD><TD>West Covina</TD><TD>Los Angeles</TD><TD>CA</TD><TD>91790</TD><TD>626-960-6738</TD><TD>626-960-1503</TD><TD>lashawn#hasty.com</TD><TD>http://www.lashawnhasty.com</TD><T$
<TR><TD>Marianne</TD><TD>Earman</TD><TD>Albers Technologies Corp</TD><TD>6220 S Orange Blossom Trl</TD><TD>Orlando</TD><TD>Orange</TD><TD>FL</TD><TD>32809</TD><TD>407-857-0431</TD><TD>407-857-2506</TD><TD>marianne#earman.com</TD><TD>http://www.marianneearman.com</TD$
<TR><TD>Justina</TD><TD>Dragaj</TD><TD>Uchner David D Esq</TD><TD>2552 Poplar Ave</TD><TD>Memphis</TD><TD>Shelby</TD><TD>TN</TD><TD>38112</TD><TD>901-327-5336</TD><TD>901-327-2911</TD><TD>justina#dragaj.com</TD><TD>http://www.justinadragaj.com</TD><TR>
<TR><TD>Mandy</TD><TD>Mcdonnell</TD><TD>Southern Vermont Surveys</TD><TD>343 Bush St Se</TD><TD>Salem</TD><TD>Marion</TD><TD>OR</TD><TD>97302</TD><TD>503-371-8219</TD><TD>503-371-1118</TD><TD>mandy#mcdonnell.com</TD><TD>http://www.mandymcdonnell.com</TD><TR>
<TR><TD>Conrad</TD><TD>Lanfear</TD><TD>Kahler Karen T Esq</TD><TD>49 Roche Way</TD><TD>Youngstown</TD><TD>Mahoning</TD><TD>OH</TD><TD>44512</TD><TD>330-758-0314</TD><TD>330-758-3536</TD><TD>conrad#lanfear.com</TD><TD>http://www.conradlanfear.com</TD><TR>
<TR><TD>Cyril</TD><TD>Behen</TD><TD>National Paper & Envelope Corp</TD><TD>1650 S Harbor Blvd</TD><TD>Anaheim</TD><TD>Orange</TD><TD>CA</TD><TD>92802</TD><TD>714-772-5050</TD><TD>714-772-3859</TD><TD>cyril#behen.com</TD><TD>http://www.cyrilbehen.com</TD><TR>
<TR><TD>Shelley</TD><TD>Groden</TD><TD>Norton Robert L Esq</TD><TD>110 Broadway St</TD><TD>San Antonio</TD><TD>Bexar</TD><TD>TX</TD><TD>78205</TD><TD>210-229-3017</TD><TD>210-229-9757</TD><TD>shelley#groden.com</TD><TD>http://www.shelleygroden.com</TD><TR>
</table>
</BODY>
</HTML>
So, I was messing around and I tired to create a few sed commands that would mimic the second output.
My first attempt was:
#!/bin/sh
sed -e 's=^.*$=<TR><TD>&</TD></TR>=' input.csv
Unfortunately, this program only outputs something like this where I get TR TD at the beginning and end, but no TD tags inside:
<TR><TD>"Bryan","Rovell","All N All Shop","90 Hackensack St","East Rutherford","Bergen","NJ","07073","201-939-2788","201-939-9079","bryan#rovell.com","http://www.bryanrovell.com"</TD></TR>
<TR><TD>"Joey","Bolick","Utility Trailer Sales","7700 N Council Rd","Oklahoma City","Oklahoma","OK","73132","405-728-5972","405-728-5244","joey#bolick.com","http://www.joeybolick.com"</TD></TR>
I've also attempted to create individual seds to tag field, but instead I've only managed to tag each word, so I'm kinda stuck.
I'm partially on the right track, I think, but I need helping indenting and adding TD to the beginning & end of every field, along with TR to the beginning and end of each new column.

This is the main part of it:
$ sed -r 's:^"?: <TR><TD>:; s:"?,"?:</TD><TD>:g; s:"?$:</TD></TR>:' file
<TR><TD>FirstName</TD><TD>LastName</TD><TD>Company</TD><TD>Address</TD><TD>City</TD><TD>County</TD><TD>State</TD><TD>ZIP</TD><TD>Phone</TD><TD>Fax</TD><TD>Email</TD><TD>Web</TD></TR>
<TR><TD>Essie</TD><TD>Vaill</TD><TD>Litronic Industries</TD><TD>14225 Hancock Dr</TD><TD>Anchorage</TD><TD>Anchorage</TD><TD>AK</TD><TD>99515</TD><TD>907-345-0962</TD><TD>907-345-1215</TD><TD>essie#vaill.com</TD><TD>http://www.essievaill.com</TD></TR>
<TR><TD>Cruz</TD><TD>Roudabush</TD><TD>Meridian Products</TD><TD>2202 S Central Ave</TD><TD>Phoenix</TD><TD>Maricopa</TD><TD>AZ</TD><TD>85004</TD><TD>602-252-4827</TD><TD>602-252-4009</TD><TD>cruz#roudabush.com</TD><TD>http://www.cruzroudabush.com</TD></TR>
<TR><TD>Billie</TD><TD>Tinnes</TD><TD>D & M Plywood Inc</TD><TD>28 W 27th St</TD><TD>New York</TD><TD>New York</TD><TD>NY</TD><TD>10001</TD><TD>212-889-5775</TD><TD>212-889-5764</TD><TD>billie#tinnes.com</TD><TD>http://www.billietinnes.com</TD></TR>
<TR><TD>Zackary</TD><TD>Mockus</TD><TD>Metropolitan Elevator Co</TD><TD>286 State St</TD><TD>Perth Amboy</TD><TD>Middlesex</TD><TD>NJ</TD><TD>08861</TD><TD>732-442-0638</TD><TD>732-442-5218</TD><TD>zackary#mockus.com</TD><TD>http://www.zackarymockus.com</TD></TR>
<TR><TD>Rosemarie</TD><TD>Fifield</TD><TD>Technology Services</TD><TD>3131 N Nimitz Hwy #-105</TD><TD>Honolulu</TD><TD>Honolulu</TD><TD>HI</TD><TD>96819</TD><TD>808-836-8966</TD><TD>808-836-6008</TD><TD>rosemarie#fifield.com</TD><TD>http://www.rosemariefifield.com</TD></TR>
<TR><TD>Bernard</TD><TD>Laboy</TD><TD>Century 21 Keewaydin Prop</TD><TD>22661 S Frontage Rd</TD><TD>Channahon</TD><TD>Will</TD><TD>IL</TD><TD>60410</TD><TD>815-467-0487</TD><TD>815-467-1244</TD><TD>bernard#laboy.com</TD><TD>http://www.bernardlaboy.com</TD></TR>
<TR><TD>Sue</TD><TD>Haakinson</TD><TD>Kim Peacock Beringhause</TD><TD>9617 N Metro Pky W</TD><TD>Phoenix</TD><TD>Maricopa</TD><TD>AZ</TD><TD>85051</TD><TD>602-953-2753</TD><TD>602-953-0355</TD><TD>sue#haakinson.com</TD><TD>http://www.suehaakinson.com</TD></TR>
<TR><TD>Valerie</TD><TD>Pou</TD><TD>Sea Port Record One Stop Inc</TD><TD>7475 Hamilton Blvd</TD><TD>Trexlertown</TD><TD>Lehigh</TD><TD>PA</TD><TD>18087</TD><TD>610-395-8743</TD><TD>610-395-6995</TD><TD>valerie#pou.com</TD><TD>http://www.valeriepou.com</TD></TR>
<TR><TD>Lashawn</TD><TD>Hasty</TD><TD>Kpff Consulting Engineers</TD><TD>815 S Glendora Ave</TD><TD>West Covina</TD><TD>Los Angeles</TD><TD>CA</TD><TD>91790</TD><TD>626-960-6738</TD><TD>626-960-1503</TD><TD>lashawn#hasty.com</TD><TD>http://www.lashawnhasty.com</TD></TR>
<TR><TD>Marianne</TD><TD>Earman</TD><TD>Albers Technologies Corp</TD><TD>6220 S Orange Blossom Trl</TD><TD>Orlando</TD><TD>Orange</TD><TD>FL</TD><TD>32809</TD><TD>407-857-0431</TD><TD>407-857-2506</TD><TD>marianne#earman.com</TD><TD>http://www.marianneearman.com</TD></TR>
<TR><TD>Justina</TD><TD>Dragaj</TD><TD>Uchner</TD><TD> David D Esq</TD><TD>2552 Poplar Ave</TD><TD>Memphis</TD><TD>Shelby</TD><TD>TN</TD><TD>38112</TD><TD>901-327-5336</TD><TD>901-327-2911</TD><TD>justina#dragaj.com</TD><TD>http://www.justinadragaj.com</TD></TR>
<TR><TD>Mandy</TD><TD>Mcdonnell</TD><TD>Southern Vermont Surveys</TD><TD>343 Bush St Se</TD><TD>Salem</TD><TD>Marion</TD><TD>OR</TD><TD>97302</TD><TD>503-371-8219</TD><TD>503-371-1118</TD><TD>mandy#mcdonnell.com</TD><TD>http://www.mandymcdonnell.com</TD></TR>
<TR><TD>Conrad</TD><TD>Lanfear</TD><TD>Kahler</TD><TD> Karen T Esq</TD><TD>49 Roche Way</TD><TD>Youngstown</TD><TD>Mahoning</TD><TD>OH</TD><TD>44512</TD><TD>330-758-0314</TD><TD>330-758-3536</TD><TD>conrad#lanfear.com</TD><TD>http://www.conradlanfear.com</TD></TR>
<TR><TD>Cyril</TD><TD>Behen</TD><TD>National Paper & Envelope Corp</TD><TD>1650 S Harbor Blvd</TD><TD>Anaheim</TD><TD>Orange</TD><TD>CA</TD><TD>92802</TD><TD>714-772-5050</TD><TD>714-772-3859</TD><TD>cyril#behen.com</TD><TD>http://www.cyrilbehen.com</TD></TR>
<TR><TD>Shelley</TD><TD>Groden</TD><TD>Norton</TD><TD> Robert L Esq</TD><TD>110 Broadway St</TD><TD>San Antonio</TD><TD>Bexar</TD><TD>TX</TD><TD>78205</TD><TD>210-229-3017</TD><TD>210-229-9757</TD><TD>shelley#groden.com</TD><TD>http://www.shelleygroden.com</TD></TR>
I expect you can figure out the rest since that's just printing the head and tail lines.

How would I output HTML in the specified format from a Ruby array?

I have an array of various food items, like so:
1% milk (low fat)
100% fruit juice blend (juicy juice)
100% whole wheat bagel
100% whole wheat bread
100% whole wheat cracker (triscuit)
2% milk (reduced fat)
alfredo sauce
all-bran cereal
all-fruit preserves (no added sugar)
...
wrap sandwich (vegetables only)
wrap sandwich (vegetables, rice)
yellow cake with icing
yellow corn (corn on the cob)
zucchini bread
zucchini or summer squash
Now, I know how to get an HTML list of all the elements in the array in Ruby. I could do something like this:
puts "<ul>"
foods.each do |e|
puts "<li>#{e}</li>"
end
puts "</ul>"
However, I don't know how to break the list into different sections for each letter, so that I can take this array and output a bunch of seperate lists of items (in HTML), like this:
<div class="grid_1">
<h1>#.</h1>
<ul>
<li>1% milk (low fat)</li>
<li>100% fruit juice blend (juicy juice)</li>
<li>100% whole wheat bagel</li>
<li>100% whole wheat bread</li>
<li>100% whole wheat cracker (triscuit)</li>
<li>2% milk (reduced fat)</li>
</ul>
</div>
<div class="grid_1">
<h1>A.</h1>
<ul>
<li>alfredo sauce</li>
<li>all-bran cereal</li>
<li>all-fruit preserves (no added sugar)</li>
...
How would I create this output in Ruby?

You could use Enumerable#group_by to group your values by the first character, like this:
grouped_food = food.group_by { |f| f[0] }
This would not put all the food starting with a number in a separate group, though. This would take some more magic:
grouped_food = food.group_by { |f|
f[0] =~ /[0-9]/ ? # if the first character is a number
"#." : # group them in the '#.' group
f[0].upcase+"." # else group them in the 'uppercase_first_letter.' group
}

You can first perform a group_by on your input list
foods = foods.group_by{|x|x[0]=~/[a-z]/i?x[0].upcase():'#.'}
and then proceed as before.
foods.each do |key, list|
puts "<div class='grid_1'>"
puts "<h1>#{key}</h1>"
puts "<ul>"
list.each do |e|
puts "<li>#{e}</li>"
end
puts "</ul>"
puts "</div>"
end

We Keep Coding

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Any way to bold grand total line in a report - mysql

You need to read the file in some other scripting language such as Python, Perl etc and you can parse the file and change the required columns as per required. You may even use sed or awk to edit the sepcific columns you want to.

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