This columnar compression engine is based on hypertables, which automatically partition your PostgreSQL tables by time. At the user level, you would simply indicate which partitions (chunks in Timescale terminology) are ready to be compressed by defining a compression policy.
In TimescaleDB 2.3, we started to improve the flexibility of this high-performing columnar compression engine by allowing INSERTS directly into compressed data. The way we did this at first was by doing the following:
With this approach, when new rows were inserted into a previously compressed chunk, they were immediately compressed row-by-row and stored in the internal chunk. The new data compressed as individual rows was periodically merged with existing compressed data and recompressed. This batched, asynchronous recompression was handled automatically within TimescaleDB's job scheduling framework, ensuring that the compression policy continued to run efficiently.
The newly introduced ability to make changes to data that is compressed breaks the traditional trade-off of having to plan your compression strategy around your data lifecycle. You can now change already-compressed data without largely impacting data ingestion, database designers no longer need to consider updates and deletes when creating a data model, and the data is now directly accessible to application developers without post-processing.
However, with the advanced capabilities of TimescaleDB 2.11, backfilling becomes a straightforward process. The company can simulate or estimate the data for the new parameters for the preceding months and seamlessly insert this data into the already compressed historical dataset.
$\mathbfQ:$ While teaching "Real Gases", my professor remarked last day that "Liquid phase is a highly compressed gaseous phase." But he did not explain the reason behind it and left it as food for our thought.
Now I can see from the graph that a certain finite amount of pressure needs to be applied in order that we can change the gaseous state from vapor to liquid. Ideal gases have considerable or high compressibility while ideal liquids are almost incompressible. But still can I call this "highly compressed"? So how do I prove the statement made by my professor?
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Through a novel methodology for evaluating layer-by-layer residual stresses in epitaxial silicon carbide films with resolution down to 10 nm, we indicate the existence of a highly compressed interfacial nanolayer between the films and their silicon substrates. This layer is consistently present underneath all types of silicon carbide films examined herein, regardless of the extent of residual tensile stress measured in the full thickness of the films, which varies from 300 up to 1300 MPa. We link this nanolayer to the carbonization step of the film growth process and we discuss in detail the implications in terms of fracture behaviour by bulge testing of micromachined membranes.
David McGonegle, Despina Milathianaki, Bruce A. Remington, Justin S. Wark, Andrew Higginbotham; Simulations of in situ x-ray diffraction from uniaxially compressed highly textured polycrystalline targets. J. Appl. Phys. 14 August 2015; 118 (6): 065902.
Given that the preferred orientation defined by texture links both the diffraction patterns observed and the sample response, it is logical to question whether specific information can be gleaned via in situ diffraction studies of samples with known, well-defined texture. For example, bulk rotations of the crystal lattice or changes in the crystal structure, such as Martensitic phase changes, will result in an altered texture that could be used to distinguish between different mechanisms of atomic rearrangement. This reorientation has been observed in previous work using both neutron sources40 and synchrotrons,35,39 although only at relatively modest pressures compared with those we are interested in here.
Although the above approach is general, within the rest of this paper we restrict our study to the particular case of a simple fibre texture where the crystallites have nearly identical orientation in the axial direction, but close to random radial orientation. Our motivations for this are due to the fact that this allows us to treat the mechanical response of a polycrystal with sufficiently large grains to be well-approximated by that of a single crystal with orientation aligned with the fibre axis and that the technique of fibre diffraction under ambient conditions is well established.42,43 Furthermore, recent experiments using femtosecond x-rays created with 4th generation light sources to diffract from uniaxially compressed samples have employed targets with this type of texture,18 and the thin films that have hitherto been used in these experiments often grow with such preferential orientation.
Schematic showing fibre diffraction geometry of an uncompressed sample. For an untextured sample, diffraction occurs at the intersection between the green Ewald and red Polanyi spheres, resulting in the Debye-Scherrer ring. However, in a fibre textured sample, only certain crystallite orientations exist, which are represented as a ring on the Polanyi sphere. This puts another constraint on diffraction to occur, resulting in the diffraction pattern showing arcs on the Debye-Scherrer rings. As the sample is compressed this warps the Polanyi sphere, changing both the Debye-Scherrer rings, and the azimuthal position of the diffracting arcs. Adapted from Ref. 44.
Excellent agreement can be seen between the analytic solution and the MD simulation, demonstrating that twinning has occurred, although slight differences can be observed which are due to the small angle assumptions used in Section III to simulate the 3D FT of a fibre textured target. Additionally, there are some very weak arcs in the data corresponding to plastically compressed material (Figure 4(a)). The ratio of intensities of lines from twin and slip deformed material is indicative of the twin fraction.
The examples we have given above demonstrate that x-ray diffraction from uniaxially compressed fibre-textured targets can, in principle, yield information on deformation mechanisms, and be they due to phase transformations or twinning. The breaking of the symmetry of problem, by tilting the normal of the polycrystalline target with respect to the incident x-ray beam allows the encoding of such information in the azimuthal distribution of intensity in the Debye-Scherrer rings. We envisage that the methods that we have outlined here will aid in the design of experiments that have as their goal the elucidation of such mechanisms. It is worth considering, however, that the choice of initial fibre direction is important in determining what structural information can be extracted. In particular, it should be noted that for [001] fibre oriented Fe and Ta samples, these orientation do not have the lowest surface energy, and thus are not the typical orientations in which thin polycrystalline foils of these materials grow. It may thus be that some effort is required to fabricate suitable samples. This is not an issue for the case of [0001] Ti or [011] Ta, which are usually grown with these textures. Beyond the four demonstration cases given above, it is clear that further work could concentrate on a variety of different samples and deformation mechanisms. In addition, we believe that the technique may have other advantages for the study of samples subject to shock or quasi-isentropic compression. Owing to the high strain rates present in such experiments, high dislocation densities70 or small grain sizes under phase transformation may ensue,25,54 resulting in broad diffraction peaks that are hard to resolve simply in terms of scattering angle, and thus would not necessarily be easily amenable to study by techniques such as Rietveld refinement. However, tilting of a target and separation of diffraction peaks azimuthally offers a possible route to finding structural solutions under the extreme pressures that can be obtained via laser-ablation. We believe that the technique we have outlined could have application to laser based shock and compression experiments that make use of emergent 4th generation light sources, which offer incredibly bright, narrow bandwidth x-ray sources, with unprecedented temporal resolution.
The Olin Palladium Award recognizes the highly successful research and development work by Gottesfeld and many of his colleagues who worked on the science and technology of polymer electrolyte fuel cells (PEFCs) over the last 35 years. Gottesfeld has been a professor at the University of Tel Aviv, a fuel cell program leader and a laboratory fellow at the Los Alamos National Laboratory, and a cofounder and chief technology officer of CellEra.
In the Dynamic Processing Effect, you can view the Level Meter and the Gain Reduction Meter. Level Meter shows the input level of the audio and Gain Reduction Meter shows how audio signals are compressed or expanded. These meters are visible on the right side of the graph as shown below.
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