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BZG Qi Regenerative Tea - Qi Deficiency
BZG Qi Regenerative Tea is traditionally used for those with Qi deficiency body constitution by tonify Qi and readjust your body constitution.
3 Sachets
*Purchases ready-to-drink instant decoction (14 packs for 7 days) medicine package, get free consultation session(1 time) from Baizigui TCM - Ai Wen. (Please contact us within 24 hours after placed order if consultant needed| Hotline Number: 0129419909) We Help you to understand your body based on your physique health. Then prescribe tailored made decoction formula most suitable for you.
*Note: Package only for West Malaysia. If you have any questions, please contact Baizigui customer service.
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BZG Qi Regenerative Tea is traditionally used for those with Qi deficiency body constitution by tonify Qi and readjust your body constitution.
Suitable for : It suitable for those with the symptoms of pale face, weak and lazy speech, shortness of breath, weakness of body and limbs, doze off easily, dizziness, tinnitus, sweat a lot, easily fall sick.
This prescription can amend your body constitution, invigorate spleen and tonify Qi, help you to regain a healthy body.
Ingredients : Huang qi, Bai zhu, Fu ling, Dang shen, Chai hu, Dang gui
How to cook :Rinse well, add 1L of water to boil, boil on low heat for 30-45minutes. Can be reboiled for 3 - 4times.
Storage : Keep it in a cool place. For longer storage, seal it and stored under 0-8°C.
Not Recommended Pregnant women drink it.
3 Sachets
Return, Refund & Exchange
Customer Satisfaction
At Baizigui, your satisfaction is our first priority. We stand behind the quality of our products and will make things right if you are not satisfied with your purchase. We believe that we can work together with our customers to make every purchase a positive experience. Our shipments are carefully inspected before leaving our warehouse. But in the event you received faulty item, simply follow the instructions below.
For more information please read more below.
- All Sales are Final.
- 3% from the total value will be deducted for PAYMENT GATEWAY charges - if you choose to have the monetary refund which is not mistake on our part. Please check with us before proceed to refund.
- Refund process will take within 15 days. Please check with us for before you place any order.
- No cash refund for pre order items.
- No cash refund on any defective items. We will do exchange only.
- No refund on issue for example on situations : change of mind or just don't like the item. But, we are willing to help on you on exchange depends on term and condition.
- Customers can return damaged/wrong/faulty items (apart from sale items) within 7 days of receipt date for a refund of that item. Any lateness will not be entertained and item(s) will be returned back to the customers.
- Orders cannot be cancelled once it is being processed. No refunds and cancellation will be entertained.
- The goods are customer's responsibility until they have reached our warehouse. Please ensure to package your returned items properly in order to avoid damages. This include the boxes, packaging and tags.
- Shipping charges are to be borne by the sender.
- Baizigui will not be responsible on missing parcel / lateness due to third party delivery partner. However we will help you on the process to track and enquire on your parcel.
- We recommends you use a postal service that insures you for the value of the goods you are returning and obtain a proof of posting.
- Customers are to bear any bank charges due to money transfer between banks.
- No cancellation or full refund in the event of customer miss out to use the promotion code.
What if I received a damaged?
( this term not including SALE ITEM , as-is or any item we already mentioned there is minimal defect in product details )
Firstly, we apologise if the products received was damaged.
- Please email us using the contact us form or email us at [email protected] as soon as possible.
- Replacement must be informed as soon as possible within 3 days after receiving.
- NO REFUND. Only exchange, this is to avoid worn item returns and want a money back. Please check with us for further info.
- Customer can request for an exchange with any of the items available only with same value or higher.
- Customer needs to send a picture of the faulty items. Upon receiving the item, inspection will be made.
- we shall refund you the full amount upon confirmation of error on our part to protect our customers' interests.
For the items to be eligible for a return and exchange, they will have to meet these requirements:
- The item(s) to be exchanged must be notified and returned to us within one week of receiving it.
- If there are price differences between the returned and new item, e.g: original RM49, new RM59; the charges applicable is Total Value + 10% restocking fees + postage (minimum RM8).
- You may change to different product with same value or lesser ( the balance will not be refunded)
- You can exchange to higher value but you need to topup
- Shipping cost have to be born by you in and out.
- All item must be packed in original condition.
- Once the item has been posted out, please update us with the tracking number.
- Do inform us of the item you wish to exchange it with.
Baizigui have the right to refuse any exchange and refund without any confirmation letter or notice from us.
West Malaysia
The delivery fees is based on item's weight. Free delivery will be provided for any purchases RM100 and above in a single receipt on Malaysia No.1 Wellness E-Store.
East Malaysia (Sabah & Sarawak) :
The delivery fees is based on item's weight. Free delivery (BELOW to 2 kg) will be provided for any purchases RM250 and above in a single receipt on Malaysia No.1 Wellness E-Store.
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Buyers: Get the Most Home for Your Money!
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Mathematica forms of notations
All six hyperbolic functions are represented as built‐in functions in Mathematica. Following Mathematica's general naming convention, the StandardForm function names are simply capitalized versions of the traditional mathematics names. Here is a list hypFunctions of the six hyperbolic functions in StandardForm.
Here is a list hypFunctions of the six trigonometric functions in TraditionalForm.
Additional forms of notations
Mathematica also knows the most popular forms of notations for the hyperbolic functions that are used in other programming languages. Here are three examples: CForm, TeXForm, and FortranForm.


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RAM 1" Diameter Ball Standard Length Double Socket Arm with Small Tough-Claw Base
The RAM Tough-Claw is the perfect mounting base for quick and easy tool-less installation and removal on round, square, odd shaped rails and bars. The Tough-Claw can be clamped on rails from 0.625" - 1.5" outer diameter. Ideal for mounting tablets, action cameras, smartphones, rod holders for rod storage and much more in a wide variety of applications. Perfectly suited for mounting on the yoke of an aircraft, handlebars and seat posts of bicycles, kayak rails, roll bars and much more, the RAM® Tough-Claw will soon become another essential RAM® component in your collection of mounting options.
Clamping Range (Rail/Tube Surfaces):
0.625" to 1.5"
Clamping Range (Flat Surfaces):
0" to 1.14"
1. High strength glass filled nylon construction with corrosion resistant stainless steel hardware
2. Rubber pads provide stable, even gripping and protection of mounting surface
3. Clamp jaw is configured for round, flat and odd shapes
4. Quick installation and removal of Tough-Claw
5. Lifetime Warranty!
6. Made in U.S.A.
High Strength Composite and Powder Coated Marine Grade Aluminum
Ball Size:
1" Rubber "B" Ball Size


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Martin Housing Authority follows the guidelines and policies of HUD, as well as local and state authorities in our procurement processes.
In our efforts to provide housing and support services, MHA frequently contracts work to our business community. We strive for a fair, efficient, and open bidding process. Please monitor this page for current RFPs, RFQs and Bid Information.


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Four Marines have been killed in a training accident at Camp Pendleton, near San Diego, Calif., base officials said.
The Associated Press says the accident occurred at 11 a.m. Wednesday "during a range maintenance operation."
Reuters quotes Marines spokesman Lt. Ryan Finnegan as saying that the four were killed at the Zulu Impact Area inside the base.
"We offer our heartfelt prayers and condolences to the families of the Marines lost today in this tragic accident," said base commander Brig. Gen. John W. Bullard. "Our first priority is to provide the families with the support they need during this difficult time."
Officials said they were investigating the cause of the accident but had no further details as yet and did not release the identities of the dead, pending notification of their families, the AP said.
The AP notes:
"The deaths come about eight months after a mortar explosion killed seven Marines during a live-fire training exercise in Nevada.
A military investigation determined human error was to blame for that accident. According to the probe's findings, a Marine operating a 60 mm mortar tube and ammunition did not follow correct procedures, resulting in the detonation of a high explosive round at the mortar position.
The investigation also determined that the mortar team involved in the accident had not conducted "appropriate preparatory training."
Copyright 2021 NPR. To see more, visit https://www.npr.org.


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Visit the sixth-floor Sky Deck for panoramic views.
Video content is not the property of American Express.
Suites feature subtle destination-inspired décor and private outdoor balconies or terraces with stunning ocean and Intracoastal views. Gourmet kitchens are equipped with state-of-the-art appliances, and bathrooms are outfitted with Italian marble soaking bathtubs with separate showers.
The oceanfront restaurant Takato offers a Japanese-Korean fusion dining experience with a spotlight on sushi. Enjoy a signature cocktail and casual fare at Spinnaker Pool Grill or Atlas Cocktail Lounge. Cornucopia Gourmet Market offers specialty coffees, local ice cream, grab-and-go options for the beach, and made to order pizzettas.
Relax in a private cabana along the heated pool. CONRAD Spa includes steam rooms and rainfall showers. The Enrich Body Immersion includes aromatherapy, body scrub, and customized massage.
Shop along Las Olas Boulevard. Relax on the beach. Cruise along the New River or experience an airboat ride through the Everglades.
551 North Fort Lauderdale Beach Boulevard. Fort Lauderdale, Florida 33304 United States
Fort Lauderdale Hollywood International Airport.
†Certain room categories are not eligible for upgrade.
Looking for more? See all our luxury hotels in Fort Lauderdale, Florida US
Valid only for new Fine Hotels + Resorts bookings made through Platinum Travel service, Centurion Travel service, American Express Travel Online (where available) or any American Express Travel location. Payment must be made in full with an American Express Card in the Platinum Card Member and Centurion Member's or Centurion® Member's name. Available for Platinum Charge Cardmembers and Centurion® Members only, and excludes Platinum Credit Cardmembers who are not also Platinum Charge Cardmembers. Cardmember must travel on itinerary booked to be eligible for benefits described. Noon check-in and room upgrade are based on availability and are provided at check-in. Certain room categories are not eligible for room upgrade; call Platinum Travel service or Centurion Travel service for details. Breakfast amenity varies by property, but will be, at a minimum, a Continental breakfast. Complimentary In-Room Wi‑Fi is provided and Wi‑Fi will be provided in a common space on property. In the case where a property includes cost of Wi‑Fi in a mandatory resort fee, the Cardmember will receive a daily credit from the property in the standard amount that the property charges for Wi‑Fi. The credit will be issued on the Cardmembers final bill upon check-out. Benefit restrictions vary by Fine Hotels + Resorts property and cannot be redeemed for cash, and may not be combined with other offers unless indicated. Benefits and additional Fine Hotels + Resorts promotions are only applied at check-out and expire at check-out. Limit one benefit package per room, per stay. Three room limit per Cardmember, per stay.
© American Express.


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By Erica Domesek
As we welcome the summer season, we say "Yes!" to all things light, airy, and fun! Sporting lightweight ruffles day or night is a great way to dive head first into the season. Inspired by the likes of ultra-feminine and flirty designs by Kate Spade, Cynthia Rowely, and Oscar de la Renta, this one-shoulder ruffle tee is the perfect blend of casual comfort and carefree cuteness! Chances are, you probably have the ingredients laying around at home for this designer-inspired DIY that's a "must do."
White cotton T-shirt
Fabric scissors
Straight pins
Sewing needle
Thread in a color to match the T-shirt
Step 1: Lay your T-shirt on a flat surface and cut off approximately 3″-4″ (depends on how long your shirt is, and how large you want your ruffle to be).
Step 2: Cut a curved asymmetrical line from one shoulder down to the opposite armpit. (Use an erasable marking tool if you need to draw a line to help with the cut.)
Step 3: Cut the bottom piece to create one long strip.
Step 4: Scrunch and pin the fabric strip along the asymmetrical neckline.
Step 5: Sew the ruffle strip using a sewing needle and thread, using small stitches all along the neckline.
Step 6: For a more dramatic ruffle, use a fabric piece from another T-shirt. If you buy a 3-pack, you can make several!
P.S. If your T-shirt is too loose under the arm, sew a few extra stitches to create a fitted bustline.
About the Author:
Erica Domesek is a distinguished DIY and style expert, founder of innovative designer DIY brand "PS-I Made This….". Erica's creative motto, "I see it, I like it, I make it," reflects the belief that one can find inspiration anywhere and transform what one sees into something fabulous to wear, use, or look at.
Join Make: Community Today


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With a student population of 3500, the college is a focal point and catalyst in Northeast Nebraska, not only for education but also for community and economic development, the arts, and cultural activity. Strong leadership, steady enrollment, a renewed focus on student development and teaching, and several recently completed building projects are indicators of the College's vitality.
Human Resources
We are a thriving institution that values human capital. Our guiding principles include integrity, efficiency, problem solving, equity and character in all of our relationships and interactions. Find out why Wayne State is a great place to work.


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G7 Pro iPad Pro 10.5 Tripod Mount + 60 inch Adjustable Pan Head HD Tripod + Carry Bag
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Product Description
Secure your iPad Pro 10.5 inch to the 60 inch Tripod and Record Video and Photos with smooth pan head. Solid locking arms securely grab your tablet with or without a case while you film video, family photos, wedding photo booths, golf swings, coaches, athletes, tennis, real estate agents, businesses, youtube videos and more. You provide the Tablet and we provide the G7 Pro iPad Pro 10.5 Tripod Mount Complete Bundle Kit!
Technical Details
- Fit for iPad Pro 10.5 inch - also works with all other iPad Generations (minus 12.9 inch) With or Without a Case (Otterbox Compatible)
- Solid Locking Arms: 16 inches corner-to-corner maximum when expanded
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- Thread Size: 1/4-20 Standard Metal Thread fit for any other camera accessory
- Mounts Rubber Padding Protects Your Device At All Times
- Mount and Tripod Made of Strong All Metal Alloy
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When we think of holidays in the snow in the Republic Argentina, immediately arises of Mendoza Province as one of the tourist destinations privileged to do so. Located more than 1,000 km to the West of the city of Buenos Aires, a large number of roads in excellent condition linked Mendoza with the rest of the country, making it the epicenter of local tourism winter vacation. The beauty of the Andean landscape offers the ideal framework for the practice of activities in the snow, in addition to the developed local tourist infrastructure, it becomes tourism Mendoza in one of the main economic activities of the area. The ski resorts of the province of Mendoza are characterized by the quality of its snow, and the level of hotel services that lathe coalesce it. Mendoza offers a variety of ski resorts, such as las Lenas, Los Penitentes, Vallecitos, and springs. The uniqueness that is detaca in these winter resorts it has ideal tracks for those who are taking their first steps in the snow, but also for expert skiers who come from around the world attracted by some of the most extensive tours in the valle de las Lenas direct descent it predominates by its modern facilities, and the hotel range that is located around this natural Valley that offers incredible quality tracks and means of transport for approximately 10,000 skiers per hour. Some hotels allow deposit visitors directly on the ski slopes, due to its proximity with them.
The family will know find perfect in las Lenas activity, since it is also possible to have fun aboard sleds or snowboarding. Las Lenas is located 400 km from the city of Mendoza, and slightly less than 1200 of the city of Buenos Aires. The closest to the city Mendoza ski slope is Vallecitos, distant only 80 km of this important city. The Centre has seven lifting equipment, with a capacity to carry 2400 skiers to the Summit more than 2900 m of height, who may enjoy over 4 km and a half tracks. Vallecitos constitutes the getaway ideal for who stays in a hotel five stars in Mendoza and cannot go in the region without having known fantastic Andean snow. Vallecitos allows to organize an excursion of one day's duration, and may return to Mendoza after having enjoyed an intense day of fun in the snow.


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Thank you for visiting the University of Miami / Gordon Center for Reserach in Medical Education website. Your privacy is very important to us. Simply stated, our policy is to collect no personally identifiable information about you when you visit our website unless you affirmatively choose to make such information available to us. This Privacy Statement generally describes how we collect, use and/or share information gathered by our websites. INFORMATION WE COLLECT
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Third-party article by Oliver RitterWeekly Exercise ("Wochenaufgabe") for weeks 06 and 07 – Pharmacies
Weekly Exercise ("Wochenaufgabe") for weeks 06 and 07 – Pharmacies
What is the idea behind this ?
Some of you may have heard about the "Wochenaufgabe" in the German OpenStreetMap community. If you haven't, it means "weekly exercise" and usually lasts between one and two weeks. The idea behind this is to take a mapping topic that is relevant and interesting to all mappers and the goal is to let the community work together all over the country to achieve something that a single person would not be able to do on their own.
Weeks 06/07: Pharmacies (Apotheken)
This week three users (TheFive, Ziltoidium, Gehrke) worked out the idea to catch not only all missing pharmacies in Germany, but also those existing pharmacies that have incomplete tags. In total, that's 20,600.
However, how can you do this in a coordinated way with maybe 50, 100, 200 mappers working in parallel? How do you find out where pharmacies are, see the progress that is being made, and avoid duplicating work? How do you handle all the different tags, like addresses, contact data and opening hours, and record everything consistently? This is what this post is about!
So let´s have a closer look at preparation
Some statistics
In Germany there is an association of the pharmacies. They offer some numbers, but unfortunately few details, but this at least gives us an idea of what should be on the map and what is potentially missing.
Next thing we found was a detailed Excel file that lists all cities in Germany and, importantly, it contains the "Gemeindeschlüssel", or the unique ID/key for any municipality.
So far we are now able to
- Estimate how many pharmacies should be in each federal state ("Land")
- Divide the OSM database into smaller parts (federal states and single municipalities)
- Work out which municipalities belong to which federal state, and what is the total number of pharmacies
Visualisation of the database
Users "Gehrke" and "TheFive" have organised a weekly exercise before (90,000 streets in two weeks were improved!) and have some experience of this sort of work with databases. Their idea was to make mapping progress easily visualised, so that anyone working on it could see the progress that was being made and be motivated to continue. Some real competition started to grow between cities.
Last time this was done with some tables and diagrams, but this time it's getting more "professional". TheFive developed a tool "osmcount" that shows on a daily basis the exact number of pharmacies per town. So when you know the unique ID/key of your town you can now check the exact status.
Additionally, you have the option to click some links and go to the Overpass API. For example you could check Cologne (Köln) and the associated Overpass query and map by clicking the service link "R". Of course, there will be diagrams as well.
That's nice, but would you ever want to search and click for each individual city? With over 2800 cities, that would take a long time…
Using uMap as an "always up to date map"
So team-member "Ziltoidium" used the awesome uMap project and combined it with an overpass query to have an always up to date map. The benefit of this is that you don't have to write a query for each place over and over again – you have one map that works everywhere. A nice secondary effect is that you also have some nice eye candy with pharmacy icons as well.
Coordinated work
To avoid chaos and duplication, we needed a tool to coordinate mapping. We decided to use a simple Google table that anybody could edit (with some parts locked).
If the mappers are of the opinion that a city is "finished" and no pharmacy is missing, they can simply edit the entry to "finished" and move to the next city. That way, other mappers won't start again on finished places.
Some rules
As the prospective parliamentary candidate for Thanet South would say, there have to be some rules! Most importantly – quality over quantity. There are lots of websites containing pharmacy addresses. But can you trust them? Are they up to date? Map only what you are sure about. If in doubt, go there on foot, check the official website, call the operator, ask friends – whatever… but data entered should be trustworthy.
Avoid adding lots of OSM notes which only say "There should be a pharmacy, could anybody have a look?". Instead, discuss problems in the forum or leave it blank at the map. The weekly exercise is made to solve problems, not to create lots and lots of new notes.
What to map?
What is interesting for the end user? We thought of following tags:
- name of the pharmacy
- address
- contact data
- opening hours
- wheelchair access
- operator
- (maybe) dispensing or not
Tags in detail – the quality question
Imagine that we've got data on lots and lots of pharmacies – what about the quality of the tagging on each one? For example, we might have:
- an almost full address, but missing house number
- the "NAME OF THE PHARMACY" in capital letters
- The syntax of the phone numbers written incorrectly: 0123 45 67 89 vs 0123 – 45 67 89 vs +49123456789 vs 0049123456789
In order to avoid manually checking all 20600, what we need is a "bird's eye view", a big table that shows all relevant data to make it easy to compare items. To make it easy to visualise we decided to divide it into federal states.
Once again we used overpass-turbo.eu to perform the query, but this time the output is not a map, but a CSV file. This can be easily converted to a readable wikitable by this wonderful tool (and a little bit of manual work).
Stay tuned
To get the news about the current Wochenaufgabe you can check the forum or our twitter feed (mostly in German, obviously).
- OSM forum
- Twitter @TheFive
- Twitter @osmdorsten
- If you also tweet, please use the hashtag #osmwa0607
We hope you like our event and that maybe it inspired you towards similar exercises. Some things can only be done by the community working together, and results will be even better when individual contributors see progress as they go. We believe that with this challenge has succeeded in doing this and also made the mapping experience more fun!


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Six Ways to Crash Elasticsearch
UPDATE: This article refers to our hosted Elasticsearch offering by an older name, Found. Please note that Found is now known as Elastic Cloud.
As much as we love Elasticsearch, at Found we've seen customers crash their clusters in numerous ways. Mostly due to simple misunderstandings and usually the fixes are fairly straightforward. In our quest to enlighten new adopters and entertain the experienced users of Elasticsearch, we'd like to share this list of pitfalls.
Any datastore can be brought to its knees, especially if it contains a substantial amount of data compared to the available hardware or if the traffic is simply too high. This article will however focus on ways of taking down an Elasticsearch cluster that are not related to insufficient hardware. Some are quite common and real, while others less so. At any rate, it's good to be aware of them. These also emphasize why we only provide dedicated clusters at Found: you can shoot yourself in the foot, but not your neighbors'.
Mapping Explosion
One quick way of making Elasticsearch run out of memory and struggle to recover is by ignoring to consider the difference between keys and values when indexing documents. This has been explained in great detail in the article Troubleshooting Elasticsearch searches, for Beginners, but the essence is that the keys in the documents change, with the result that the mappings for the index is evergrowing. On a small scale, this will require a disproportionate large amount of heap space and for larger clusters it will typically cause problems with distributing the cluster state.
Let's make this more clear with an example. We create a script that indexes documents with a single field, the key is a growing integer and the value is the square of the key. The first documents look like this:
{"1": 1} {"2": 4} {"3": 9} {"4": 16} {"5": 25} {"6": 36}
You can find the entire script in this gist. On a single node cluster with 128MB the script managed to index about 30 000 documents before the node went down, but the index on disk is less than 7 MB. Depending on the use case it is not uncommon to have an index size between one and sixteen times the heap size in a normal system.
I terminated the script after the first out-of-memory exception and our system restarted the instance. It managed to recover, but even at idle status it is doing heavy garbage collection. If you imagine what the mappings will look like for this index, with more than 30000 different fields, it's not difficult to understand that the cluster is struggling. Especially considering that this mapping is included in the cluster state that is broadcast to all nodes on several occasions. Put differently, we have not reached a limit on documents, but a limit on the metadata for an index.
The proper way of indexing this data would have been something like this:
{"key": 1, "value": 1} {"key": 2, "value": 4} {"key": 3, "value": 9} {"key": 4, "value": 16} {"key": 5, "value": 25} {"key": 6, "value": 36}
Too Many Shards or the Gazillion Shards Problem
Too many shards or the gazillion shards problem, as some of the Elasticsearch developers like to refer to it, comes from the fact that there is a base cost to every shard and index even if it does not contain any documents.
In this rather extreme example we create an index with 1073741824 shards.
curl -XPOST https://<cluster_id>-region.foundcluster.com:9243/toomanyshards -d '{"settings":{"index":{"number_of_shards":"1073741824","number_of_replicas":"1"}}}'
A few seconds after issuing this request the connection was closed and a few seconds after that I got an email saying the instance ran out of memory. This without indexing a single document. Now, the next time you set up Logstash with its default index template of one index per day, you might want to have a look at the size of those indexes after a few days. Why? Well, each index implies at least one shard and if you don't have that many log entries, you will probably do better with one index per week or per month. For Elasticsearch it is the same thing (in terms of performance) if you are having one index with two shards or two indexes with one shard. Both cases have two Lucene indexes.
Arbitrary Large Size Parameter
The classic example: a developer knows that a search will not return that many hits, and he wants all of them without paging, so he simply sets the size parameter to an arbitrarily large size like Integer.MAX_VALUE (2147483647).
When optimizing code like Elasticsearch developers do, there is no getting around making some assumptions. One of the assumptions is that a query usually has more hits than the number of elements to be returned. This implies that they will choose to prepare internal data structures for the number of documents specified in the size. In other words, if the size parameter is ridiculously large, then the Elasticsearch will create a ridiculously large internal data structure. And the one who pays the price is you, waiting forever - or so it seems! - for an insignificant result.
In earlier versions of Elasticsearch this was perhaps the quickest trick to wreak havoc on somebody's cluster. Now, in recent versions of Elasticsearch this is not as big a problem as it used to be, but it's still a good reason to use the scan and scroll API instead. Even if you have tested it before and you know that there is lots of free heap on the instance, it can blow up simply because one of those structures needs contiguous memory on the heap, and your instance is not able to provide that without doing a major garbage collection.
Scripting vs Halting Problem
In academia it is a known problem that one cannot determine if a running process will terminate or not, and since Elasticsearch does not have a timeout for long running scripts the following script will never halt. This results in the script keeping one search thread that will never be released back to the pool. Subsequent executions of such scripts will eventually consume all search threads and put all future searches in the queue until the queue reaches its maximum and all future searches are halted. This is also the case for the new sandboxed scripts.
{ "script_fields": { "test1": { "lang": "groovy", "script": "while (true) {print 'Hello world'}" } } }
This script does however have one benevolent purpose: testing how your client behaves when the search queue fills up. Neeless to say, don't do this in production, use a staging or test cluster instead. By starting this script repeatedly until all the search threads are taken, the normal searches issued by your client will be put in the queue. This will simulate the effect of an overloaded cluster where searches take longer time to process than the rate at which they are received. Another entry into this pit is if your client mistakes an expensive and thus slow query for a failed query and executes it again. This is particularly bad if the query for some reason is not capable of utilizing caches, like queries calculating date ranges based on the current time.
Too Deep Aggregations
Deep aggregations can still be an issue, but the following extreme example has been fixed in the 1.2 release of Elasticsearch. In Elasticsearch 1.1 we could create and index like this:
curl -XPOST https://<cluster>-region.foundcluster.com:9243/toodeepaggs -d '{ "settings":{ "number_of_shards":1 }, "mappings":{ "logs":{ "_all":{ "enabled":false }, "properties":{ "cust_id":{ "type":"long" }, "devi_id":{ "type":"long" }, "evt_date":{ "type":"date", "format":"yyyy-MM-dd" }, "hr":{ "type":"string" }, "type":{ "type":"string" }, "action":{ "type":"string" } } } } }'
And then, without indexing a single document we could make the following aggregation:
{ "aggregations": { "date": { "terms": { "field": "evt_date" }, "aggregations": { "customer": { "terms": { "field": "cust_id" }, "aggregations": { "device": { "terms": { "field": "devi_id" }, "aggregations": { "type": { "terms": { "field": "type" }, "aggregations": { "action": { "terms": { "field": "action" }, "aggregations": { "hr": { "terms": { "field": "hr" } } } } } } } } } } } } } }
Even without a single document this way of nesting aggregations resulted in the instance running out of memory. I have tested this for instances with heaps as large as 8GB.
This example is actually based on a real world problem where a developer most likely had misunderstood the aggregations API and created nested aggregations instead of sibling aggregates, but it still shows that the temporary structures created inside Elasticsearch when processing nested aggregations can be quite large.
Even if this contrived example without a single document in the index has been fixed in newer versions of Elasticsearch it can be good idea to just snapshot the indexes you need over to a separate cluster when doing ad hoc analytics. Personally, I often do that when analyzing logs, our Logstash cluster is simply not tuned for heavy analytics. The safety of steering clear of ad hoc queries on the production cluster is not the only benefit. It also allows me to use a cluster with more memory, since it will only be running for the few hours that I need it.
Long Garbage Collection Pauses
At Found we have experienced both customers and ourselves pushing clusters to their limits. Failing to take action when a cluster reaches its limits can be dangerous to the integrity of your data.
To demonstrate this I added a second node to the previous cluster, making it redundant (2 x 128MB heap). I recreated the index with one shard and one replica and started the same script used for demonstrating the bad mappings, but instead of stopping on the first out-of-memory error I simply restarted the script and kept pushing more data.
The first thing I noticed was a dramatic slowdown in indexing speed in the script. I then looked up the cluster in our metrics console and as expected it was collecting garbage continously. Elasticsearch configures the JVM to use the ConcurrentMarkSweep collector and since it is concurrent it avoids stop-the-world pauses as much as possible, but it cannot avoid them entirely, and with small instances like these the effect of the collector consuming CPU is also very much noticeable.
Looking at the cluster in Kopf I also noticed that the replicas where out of sync, at least that's what the document counts reported. Elasticsearch is usually pretty quick to discard a replica if it does not match the master, but in this case the nodes were slowed down to a point where they had not been able to do so yet, or they were too slow to respond with an updated statistic to Kopf.
In the end, both nodes went out of memory at the same time and I stopped the script. This allowed the nodes to come back online. The replica was then discarded and the master shard recovered from the local gateway of that node. This time the recovery mechanism worked and having a high availaility setup did make the cluster handle the load better, but the high load made the entire cluster unavailable, and for a while the redundancy was lost. In other words, if one does not respond to a situation like this, then it's just a matter of time before another error comes along and data loss is a fact.
Despite the oddities and pitfalls described in this article, our opinion is that Elasticsearch is a really great product. Most of these issues can easily be avoided or will be addressed in future versions as similar issues have been adressed previously, but at the moment their consequences can be destructive.
Personally, I am careful with who I allow access to my cluster and I would never use a shared cluster environment, at least not until there have been major changes to how Elasticsearch balances resources between different tasks. Even if the circuit breakers are constantly improving and considering more and more resources, can you be sure they will always be able to keep up with the new features?