Emacs Orgmode table $> References does not work - emacs

GNU Emacs 24.4.1 org-mode
Here is an org-mode table
#+TBLNAME: revenue
| / | < | | < | | < | | | | | | | | | | | |
| Product | Year_SUM | Month_SUM | Platform | Platform_SUM | adwo | AdMob | adChina | adSage | appfigures | appdriver | coco | Domob | Dianru | Limei | guohead | youmi |
| | | | | | | | | | | | | | | | | |
|---------+----------+-----------+----------+------------------+------+-------+---------+--------+------------+-----------+------+-------+--------+-------+---------+-------|
| Jan | | | iOS | #ERROR | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| | | | Android | =vsum($6..$>);NE | | 1 | | 1 | | 1 | | 1 | | 1 | | 1 |
|---------+----------+-----------+----------+------------------+------+-------+---------+--------+------------+-----------+------+-------+--------+-------+---------+-------|
| | | | | | | | | | | | | | | | | |
#+TBLFM: $5=vsum($6..$>);NE
As you see ,the formula $5=vsum($6..$>);NE can't be calculated! Here is debug info:
Substitution history of formula
Orig: vsum($6..$>)
$xyz-> vsum($6..$>)
#r$c-> vsum($6..$>)
$1-> vsum((0)..$>)
--------^
Error: Expected `)'
But if I replace the formula with $5=vsum($6..$17) and then it works ,I can't figure out where is the problem?
I need some help ,appreciate it!

Related

Spark Dataframe Union giving duplicates

I have a base dataset, and one of the columns is having null and not null values.
so I do:
val nonTrained_ds = base_ds.filter(col("col_name").isNull)
val trained_ds = base_ds.filter(col("col_name").isNotNull)
When I print that out, I get clear separate of rows. But when I do,
val combined_ds = nonTrained_ds.union(trained_ds)
I get duplicate records of rows from nonTrained_ds, and the strange thing is, rows from trained_ds are no longer in the combined ds.
Why does this happen?
the values of trained_ds are:
+----------+----------------+
|unique_no | running_id|
+----------+----------------+
|0456700001|16 |
|0456700004|16 |
|0456700007|16 |
|0456700010|16 |
|0456700013|16 |
|0456700016|16 |
|0456700019|16 |
|0456700022|16 |
|0456700025|16 |
|0456700028|16 |
|0456700031|16 |
|0456700034|16 |
|0456700037|16 |
|0456700040|16 |
|0456700043|16 |
|0456700046|16 |
|0456700049|16 |
|0456700052|16 |
|0456700055|16 |
|0456700058|16 |
|0456700061|16 |
|0456700064|16 |
|0456700067|16 |
|0456700070|16 |
+----------+----------------+
the values of nonTrained_ds are:
+----------+----------------+
|unique_no | running_id|
+----------+----------------+
|0456700002|null |
|0456700003|null |
|0456700005|null |
|0456700006|null |
|0456700008|null |
|0456700009|null |
|0456700011|null |
|0456700012|null |
|0456700014|null |
|0456700015|null |
|0456700017|null |
|0456700018|null |
|0456700020|null |
|0456700021|null |
|0456700023|null |
|0456700024|null |
|0456700026|null |
|0456700027|null |
|0456700029|null |
|0456700030|null |
|0456700032|null |
|0456700033|null |
|0456700035|null |
|0456700036|null |
|0456700038|null |
|0456700039|null |
|0456700041|null |
|0456700042|null |
|0456700044|null |
|0456700045|null |
|0456700047|null |
|0456700048|null |
|0456700050|null |
|0456700051|null |
|0456700053|null |
|0456700054|null |
|0456700056|null |
|0456700057|null |
|0456700059|null |
|0456700060|null |
|0456700062|null |
|0456700063|null |
|0456700065|null |
|0456700066|null |
|0456700068|null |
|0456700069|null |
|0456700071|null |
|0456700072|null |
+----------+----------------+
the values of the combined ds are:
+----------+----------------+
|unique_no | running_id|
+----------+----------------+
|0456700002|null |
|0456700003|null |
|0456700005|null |
|0456700006|null |
|0456700008|null |
|0456700009|null |
|0456700011|null |
|0456700012|null |
|0456700014|null |
|0456700015|null |
|0456700017|null |
|0456700018|null |
|0456700020|null |
|0456700021|null |
|0456700023|null |
|0456700024|null |
|0456700026|null |
|0456700027|null |
|0456700029|null |
|0456700030|null |
|0456700032|null |
|0456700033|null |
|0456700035|null |
|0456700036|null |
|0456700038|null |
|0456700039|null |
|0456700041|null |
|0456700042|null |
|0456700044|null |
|0456700045|null |
|0456700047|null |
|0456700048|null |
|0456700050|null |
|0456700051|null |
|0456700053|null |
|0456700054|null |
|0456700056|null |
|0456700057|null |
|0456700059|null |
|0456700060|null |
|0456700062|null |
|0456700063|null |
|0456700065|null |
|0456700066|null |
|0456700068|null |
|0456700069|null |
|0456700071|null |
|0456700072|null |
|0456700002|16 |
|0456700005|16 |
|0456700008|16 |
|0456700011|16 |
|0456700014|16 |
|0456700017|16 |
|0456700020|16 |
|0456700023|16 |
|0456700026|16 |
|0456700029|16 |
|0456700032|16 |
|0456700035|16 |
|0456700038|16 |
|0456700041|16 |
|0456700044|16 |
|0456700047|16 |
|0456700050|16 |
|0456700053|16 |
|0456700056|16 |
|0456700059|16 |
|0456700062|16 |
|0456700065|16 |
|0456700068|16 |
|0456700071|16 |
+----------+----------------+
This did the trick,
val nonTrained_ds = base_ds.filter(col("primary_offer_id").isNull).distinct()
val trained_ds = base_ds.filter(col("primary_offer_id").isNotNull).distinct()

How can I make my dataframe sample in each run using apache spark

I have a peculiar scenario in which the sample obtained in two consecutive samplings are not consistent even when I've provided a seed value. I'm using the following code (Which was an outcome of a discussion here:
var conversionSample = sortedConversionSubset.sample(true, (sampleSize + 0.05), 3*x).limit((conversionCount * sampleSize).toInt)
var nonConversionSample = sortedNonConversionSubset.sample(true, (sampleSize + 0.05), 3*x).limit((nonConversionCount * sampleSize).toInt)
Here
'sampleSize' is a constant fraction value less than 0.8
'x' is a constant int, which represents xth iteration in a for loop
'conversionCount' and 'nonConversionCount' are int values representing number of rows in each subset
Now the observation being that in two successive runs the sample generated is different in both cases which was not the expected behavior.
sortedConversionSubset
+--------------------------------------+----------+
|clientid |Conversion|
+--------------------------------------+----------+
|02438b66-2de4-4765-bae3-de7453647ea7_1|1 |
|203865ed-f02a-4ed9-9098-82691de707a4_0|1 |
|203865ed-f02a-4ed9-9098-82691de707a4_1|1 |
|674e2337-aec5-434e-b56e-8c2efcc42894_1|1 |
|6d6036d3-c161-4f5d-8557-80b85dd87bd9_0|1 |
|6d6036d3-c161-4f5d-8557-80b85dd87bd9_1|1 |
|7797aba3-3eea-4556-856e-753812b4b551_0|1 |
|7797aba3-3eea-4556-856e-753812b4b551_1|1 |
|870ab2a5-0650-42b8-9e6f-bde3859f64fd_0|1 |
|870ab2a5-0650-42b8-9e6f-bde3859f64fd_1|1 |
|9b606693-4ffa-44a5-bd7c-cc6974ce3e83_0|1 |
|be218b72-c664-40cf-adf5-e3519095e941_0|1 |
|e7dc7fd9-32df-46a1-b3bd-793bbda09f6f_0|1 |
|eaf434da-6a8f-4ab0-a744-62bea663ed5e_0|1 |
|eaf434da-6a8f-4ab0-a744-62bea663ed5e_1|1 |
+--------------------------------------+----------+
sortedNonConversionSubset
+--------------------------------------+----------+
|clientid |Conversion|
+--------------------------------------+----------+
|03358d8f-9b9c-4258-9c99-234ab102c29b_1|0 |
|040d213c-e91a-42f4-9bf7-90671670dc17_0|0 |
|04fe5148-1c56-4c88-aed0-1f01220bffd6_0|0 |
|0ed2e621-9ba4-46f0-8793-a84d32538c39_0|0 |
|0f9bcf42-e7fa-49a0-9d75-6c9bbc38b4d5_0|0 |
|108c5478-abc0-44d9-968b-47f81c4f5a37_0|0 |
|129eb883-159d-49be-b8ae-9aa44a3e2919_0|0 |
|13e3d779-026b-4d12-8619-aa5fe6ca99ed_0|0 |
|14497295-eebd-44aa-9f26-fc5e4810fb54_0|0 |
|1855d96d-3647-4c4f-a20f-7e46f7635798_0|0 |
|1911caf0-a470-4898-9b62-57c604422727_0|0 |
|1b91b8dc-09b8-47e2-b892-f5c14b650019_0|0 |
|1dfa820c-77e0-4927-8a39-ecd8e842b09b_0|0 |
|1e48e346-4ada-4a8d-896b-7658cc2499cd_0|0 |
|252be902-4204-40a5-9d3c-dd3a7d0f0355_0|0 |
|2995b49d-525b-43e9-ab36-8b8910a4607c_0|0 |
|2bc06b59-4624-4ddd-87a3-ed04cba88233_0|0 |
|2d4538a5-20e6-4742-ae46-aad0a5ed3fff_0|0 |
|31563716-9380-4662-90e5-7f63a1ab9072_0|0 |
|34442a3e-0437-4c41-86fb-1ac55062993a_0|0 |
|35151629-2f86-4917-90d2-42daa5ae4f5c_0|0 |
|3c37e066-dff5-4bd9-84ab-b9e73f3f3fdd_0|0 |
|3e998096-3a4b-4b57-a1de-69d2dbd19abd_0|0 |
|3f8ace3c-d378-4423-97a0-3d9cf35ba256_0|0 |
|49a0cfb8-490f-4252-84fa-2b9e250e9333_0|0 |
|4c3f11fa-e3ba-4eb1-977a-06f034bf8a54_0|0 |
|4ee484f4-e877-44c3-9390-c4e4072c5dee_0|0 |
|4fa035b3-dcd5-40e1-9107-0a0c943ff597_1|0 |
|529704d2-5a60-4718-a03f-639e040f6634_0|0 |
|560f6978-028b-4a37-9f97-d97e93976bf7_0|0 |
|57b47c74-b071-4278-89c9-f7b4cb1225d1_0|0 |
|58305773-f944-4039-8452-f5eb8d62f0cf_0|0 |
|58dfa9dd-43cf-4eb7-ade6-7235004a9815_0|0 |
|5b146218-9bb6-46f0-8c83-df131d78f591_0|0 |
|5ca3b5bc-35a9-42a5-bd37-a8fc94366dc6_0|0 |
|5d5f2ea0-aed9-4c2d-8c22-68859ec35e8e_0|0 |
|5f9ebf92-3b1b-4628-b949-44a32e6d3659_0|0 |
|64822b8c-009e-48ab-b6ca-1a7ece1106fa_0|0 |
|6b352714-af74-4773-854b-073e644e8684_0|0 |
|6e528e49-472e-48c7-baa9-edc25303e427_0|0 |
|73203f58-8be2-4716-b8f0-79c64400c57b_0|0 |
|741630e0-1c99-497d-a127-5c4c562952c5_0|0 |
|778e3b8a-2ca5-469a-9697-f646962e8308_0|0 |
|8029c542-d933-43fb-b359-f2438dcd5660_0|0 |
|8b06ba24-2af3-4eec-811a-4d1779f37876_0|0 |
|8fb43dff-260d-4ece-85e2-3bc2cb636ac1_0|0 |
|90f8a4cb-1956-43c4-ac7d-8c6514cd023a_0|0 |
|916f2e2a-6135-4004-8d54-d80b822ce394_0|0 |
|968a7ca3-1649-4586-9e60-b7e8565e708a_0|0 |
|a32782cc-8c4c-403b-aa83-09f1cec45fdb_0|0 |
|a63f44d5-a4d5-45a0-8a4b-cebf05df810b_0|0 |
|a6f958bc-e050-4216-b981-d51f1c0ff60d_0|0 |
|a7dba1bb-d7ff-44e6-9c4c-997ae59a2337_1|0 |
|ac33d675-d9cc-43b5-94fb-7d412773db14_0|0 |
|b1227816-9bf2-474f-8e82-5739acf6c895_0|0 |
|b1c27a2e-6efc-4869-880b-9ce0a4962edc_0|0 |
|b4ff6d43-cf0a-4f1d-9431-1edcb8ee1fb6_0|0 |
|b9e477ab-2065-42bb-832b-5d0e98ee05c7_0|0 |
|ba8c4efe-e71c-468c-b1bf-37efff596907_0|0 |
|c21eefc8-43d0-4be0-a252-b9fc4dbb7ad0_0|0 |
|c3785311-87c8-43bc-99a8-01d64f5eaa87_0|0 |
|c543bde7-deb8-4484-b0be-353c44baf6eb_1|0 |
|ca31e550-9d28-4628-bfe8-53648a2007f7_0|0 |
|cbc33697-20cb-4f8b-accd-0a6396a4ea41_0|0 |
|cc7810aa-08fc-44e7-acdc-ac948a28f9b9_0|0 |
|d1efdc7c-afb0-4995-bbbd-a76f731d2492_0|0 |
|d6a4b928-e576-41d7-9628-18709765199d_0|0 |
|d7311ec7-6c50-448d-8a6e-f690c3070d57_1|0 |
|d86b09f9-70a0-4101-a13b-129fe3a37b86_0|0 |
|d911be5b-aceb-45c8-a79e-73ccfa1b96f0_0|0 |
|db0c7b10-80f7-4071-aa53-fe0e2dc5ebce_0|0 |
|dce14c51-fa57-4e98-987d-708e2a9aa293_0|0 |
|dd026fb8-f818-4d1e-aaa4-4c9b3fd24994_0|0 |
|dfa9c55c-1e75-4010-be86-a6b1eb723672_0|0 |
|ea29f600-9e85-40f4-9f88-dcef46beb0c1_0|0 |
|eb5e58fc-eaac-4059-8ebc-1fab1ccf3555_1|0 |
|eb7568ab-83ac-45a7-bf4b-3b048d6c7c53_0|0 |
|f5b1cfc4-e397-4699-adab-0af6ee0e1b76_0|0 |
|facbfc8c-d477-4b27-bf15-52a56c26cbf6_0|0 |
|ffd03bca-ef40-4fa4-913e-73c002f29796_0|0 |
+--------------------------------------+----------+
1st Run Sample
+--------------------------------------+----------+
|clientid |Conversion|
+--------------------------------------+----------+
|203865ed-f02a-4ed9-9098-82691de707a4_1|1 |
|6d6036d3-c161-4f5d-8557-80b85dd87bd9_0|1 |
|6d6036d3-c161-4f5d-8557-80b85dd87bd9_1|1 |
|02438b66-2de4-4765-bae3-de7453647ea7_1|1 |
|7797aba3-3eea-4556-856e-753812b4b551_0|1 |
|870ab2a5-0650-42b8-9e6f-bde3859f64fd_0|1 |
|1dfa820c-77e0-4927-8a39-ecd8e842b09b_0|0 |
|252be902-4204-40a5-9d3c-dd3a7d0f0355_0|0 |
|2995b49d-525b-43e9-ab36-8b8910a4607c_0|0 |
|2bc06b59-4624-4ddd-87a3-ed04cba88233_0|0 |
|31563716-9380-4662-90e5-7f63a1ab9072_0|0 |
|5ca3b5bc-35a9-42a5-bd37-a8fc94366dc6_0|0 |
|5d5f2ea0-aed9-4c2d-8c22-68859ec35e8e_0|0 |
|5f9ebf92-3b1b-4628-b949-44a32e6d3659_0|0 |
|5f9ebf92-3b1b-4628-b949-44a32e6d3659_0|0 |
|5f9ebf92-3b1b-4628-b949-44a32e6d3659_0|0 |
|6b352714-af74-4773-854b-073e644e8684_0|0 |
|6e528e49-472e-48c7-baa9-edc25303e427_0|0 |
|6e528e49-472e-48c7-baa9-edc25303e427_0|0 |
|741630e0-1c99-497d-a127-5c4c562952c5_0|0 |
|03358d8f-9b9c-4258-9c99-234ab102c29b_1|0 |
|040d213c-e91a-42f4-9bf7-90671670dc17_0|0 |
|040d213c-e91a-42f4-9bf7-90671670dc17_0|0 |
|04fe5148-1c56-4c88-aed0-1f01220bffd6_0|0 |
|129eb883-159d-49be-b8ae-9aa44a3e2919_0|0 |
|1855d96d-3647-4c4f-a20f-7e46f7635798_0|0 |
|3c37e066-dff5-4bd9-84ab-b9e73f3f3fdd_0|0 |
|3e998096-3a4b-4b57-a1de-69d2dbd19abd_0|0 |
|3f8ace3c-d378-4423-97a0-3d9cf35ba256_0|0 |
|49a0cfb8-490f-4252-84fa-2b9e250e9333_0|0 |
|4fa035b3-dcd5-40e1-9107-0a0c943ff597_1|0 |
|4fa035b3-dcd5-40e1-9107-0a0c943ff597_1|0 |
|529704d2-5a60-4718-a03f-639e040f6634_0|0 |
|560f6978-028b-4a37-9f97-d97e93976bf7_0|0 |
|560f6978-028b-4a37-9f97-d97e93976bf7_0|0 |
|560f6978-028b-4a37-9f97-d97e93976bf7_0|0 |
|778e3b8a-2ca5-469a-9697-f646962e8308_0|0 |
|8b06ba24-2af3-4eec-811a-4d1779f37876_0|0 |
+--------------------------------------+----------+
2nd Run Sample
+--------------------------------------+----------+
|clientid |Conversion|
+--------------------------------------+----------+
|02438b66-2de4-4765-bae3-de7453647ea7_1|1 |
|7797aba3-3eea-4556-856e-753812b4b551_0|1 |
|870ab2a5-0650-42b8-9e6f-bde3859f64fd_0|1 |
|870ab2a5-0650-42b8-9e6f-bde3859f64fd_1|1 |
|be218b72-c664-40cf-adf5-e3519095e941_0|1 |
|be218b72-c664-40cf-adf5-e3519095e941_0|1 |
|1dfa820c-77e0-4927-8a39-ecd8e842b09b_0|0 |
|252be902-4204-40a5-9d3c-dd3a7d0f0355_0|0 |
|2995b49d-525b-43e9-ab36-8b8910a4607c_0|0 |
|2bc06b59-4624-4ddd-87a3-ed04cba88233_0|0 |
|31563716-9380-4662-90e5-7f63a1ab9072_0|0 |
|5ca3b5bc-35a9-42a5-bd37-a8fc94366dc6_0|0 |
|5d5f2ea0-aed9-4c2d-8c22-68859ec35e8e_0|0 |
|5f9ebf92-3b1b-4628-b949-44a32e6d3659_0|0 |
|5f9ebf92-3b1b-4628-b949-44a32e6d3659_0|0 |
|5f9ebf92-3b1b-4628-b949-44a32e6d3659_0|0 |
|6b352714-af74-4773-854b-073e644e8684_0|0 |
|6e528e49-472e-48c7-baa9-edc25303e427_0|0 |
|6e528e49-472e-48c7-baa9-edc25303e427_0|0 |
|741630e0-1c99-497d-a127-5c4c562952c5_0|0 |
|03358d8f-9b9c-4258-9c99-234ab102c29b_1|0 |
|040d213c-e91a-42f4-9bf7-90671670dc17_0|0 |
|040d213c-e91a-42f4-9bf7-90671670dc17_0|0 |
|04fe5148-1c56-4c88-aed0-1f01220bffd6_0|0 |
|129eb883-159d-49be-b8ae-9aa44a3e2919_0|0 |
|1855d96d-3647-4c4f-a20f-7e46f7635798_0|0 |
|3c37e066-dff5-4bd9-84ab-b9e73f3f3fdd_0|0 |
|3e998096-3a4b-4b57-a1de-69d2dbd19abd_0|0 |
|3f8ace3c-d378-4423-97a0-3d9cf35ba256_0|0 |
|49a0cfb8-490f-4252-84fa-2b9e250e9333_0|0 |
|4fa035b3-dcd5-40e1-9107-0a0c943ff597_1|0 |
|4fa035b3-dcd5-40e1-9107-0a0c943ff597_1|0 |
|529704d2-5a60-4718-a03f-639e040f6634_0|0 |
|560f6978-028b-4a37-9f97-d97e93976bf7_0|0 |
|560f6978-028b-4a37-9f97-d97e93976bf7_0|0 |
|560f6978-028b-4a37-9f97-d97e93976bf7_0|0 |
|778e3b8a-2ca5-469a-9697-f646962e8308_0|0 |
|8b06ba24-2af3-4eec-811a-4d1779f37876_0|0 |
+--------------------------------------+----------+
The two samples being different could be a road blocker for me and just want to check how I could make these consistent

sql group with user id and created_at time with one day interval

id | search_id | user_id | data | action | activitable_id | activitable_type | created_at | updated_at
-----+-----------+---------+----------+--------+----------------+------------------+----------------------------+----------------------------
213 | 1 | 2 | --- +| 1 | 69801 | Mention | 2014-09-25 23:28:55.592874 | 2014-09-25 23:28:55.592874
| | | taglist:+| | | | |
| | | - - 54 +| | | | |
| | | | | | | |
212 | 1 | 2 | --- +| 1 | 69803 | Mention | 2014-09-25 23:28:49.173146 | 2014-09-25 23:28:49.173146
| | | taglist:+| | | | |
| | | - - 73 +| | | | |
211 | 1 | 2 | --- +| 1 | 69802 | Mention | 2014-09-25 23:28:45.132325 | 2014-09-25 23:28:45.132325
| | | taglist:+| | | | |
| | | - - 73 +| | | | |
210 | 1 | 1 | --- +| 1 | 69801 | Mention | 2014-09-25 21:43:43.61208 | 2014-09-25 21:43:43.61208
| | | taglist:+| | | | |
| | | - - 73 +| | | | |
209 | 1 | 1 | --- +| 1 | 69833 | Mention | 2014-09-23 12:51:47.973599 | 2014-09-23 12:51:47.973599
| | | taglist:+| | | | |
| | | - - 54 +| | | | |
208 | 1 | 1 | --- +| 1 | 69836 | Mention | 2014-09-23 12:51:41.396198 | 2014-09-23 12:51:41.396198
| | | taglist:+| | | | |
| | | - - 54 +| | | | |
| | | | | | | |
207 | 1 | 1 | --- +| 1 | 69832 | Mention | 2014-09-23 12:51:36.552109 | 2014-09-23 12:51:36.552109
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| | | - - 66 +| | | |
(7 rows)
I have these user_activity table. I want to group it with user_id and created_at date with one day interval. I can group it with user_id and created_at(but without one day interval)

Per-table constants are not being substituted

Here is my table
| | Name | Vert | Horz | Area | Cost | USD |
|---+-------------+---------+-------+--------+------+-----|
| $ | $price = 75 | $Hi=2.9 | | | | |
| # | Kitchen | 4.160 | 3.630 | #ERROR | | |
| | | | | | | |
| | | | | | | |
| | | | | | | |
#+TBLFM: $5=$4*$Hi*2+$3*$Hi*2
Here is trace output:
Substitution history of formula
Orig: $4*$Hi*2+$3*$Hi*2
$xyz-> $4*(#UNDEFINED_NAME)*2+$3*(#UNDEFINED_NAME)*2
#r$c-> $4*(#UNDEFINED_NAME)*2+$3*(#UNDEFINED_NAME)*2
$1-> (3.630)*(#UNDEFINED_NAME)*2+(4.160)*(#UNDEFINED_NAME)*2
---------^
Error: #'s not allowed in this context
What's wrong? Why $Hi was not substituted?
Ah, found it by myself. Here is wrong row, and the fixed row:
| $ | $price = 75 | $Hi=2.9 | | | | |
| $ | price = 75 | Hi=2.9 | | | | |

Ordering and grouping MySQL data

+----+------------------+-----------------+
| id | template_type_id | url |
+----+------------------+-----------------+
| 1 | 1 | text |
| 2 | 2 | text |
| 3 | 1 | text |
| 4 | 1 | text |
| 5 | 1 | text |
| 6 | 1 | text |
| 7 | 1 | text |
| 8 | 1 | text |
| 9 | 2 | text |
| 10 | 2 | text |
+----+------------------+-----------------+
As i am using 1 page template and 2 page template i need to reorder above result as per 1 page and 2 page as below:
+----+------------------+-----------------+
| id | template_type_id | url |
+----+------------------+-----------------+
| 1 | 1 | text |
| 3 | 1 | text |
| 2 | 2 | text |
| 4 | 1 | text |
| 5 | 1 | text |
| 6 | 1 | text |
| 7 | 1 | text |
| 9 | 2 | text |
| 10 | 2 | text |
| 8 | 1 | text |
+----+------------------+-----------------+
+------------------------------------------+
---------------- ------------------
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
| | | |
---------------- ------------------
+------------------------------------------+
Assuming there's publish_date column in the table that is not shown and the values in it consistent with the ordering of the records in the examples 1 and 2, I suggest:
order by publish_date, template_type_id